diff --git "a/vae_encoder.xml" "b/vae_encoder.xml"
--- "a/vae_encoder.xml"
+++ "b/vae_encoder.xml"
@@ -1,13 +1,14 @@
-<?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="1,3,512,512" element_type="f32" />
+		<layer id="0" name="init_image" type="Parameter" version="opset1">
+			<data shape="1,3,512,512" element_type="f32"/>
 			<rt_info>
-				<attribute name="old_api_map_element_type" version="0" value="f16" />
+				<attribute name="fused_names" version="0" value="init_image"/>
+				<attribute name="old_api_map_element_type" version="0" value="f16"/>
 			</rt_info>
 			<output>
-				<port id="0" precision="FP32" names="latents">
+				<port id="0" precision="FP32" names="init_image">
 					<dim>1</dim>
 					<dim>3</dim>
 					<dim>512</dim>
@@ -15,8 +16,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1" name="Constant_7767_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 512" offset="0" size="1024" />
+		<layer id="1" name="Constant_19226_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_7767" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="2" name="Constant_19226" 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_7764_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 512" offset="1024" size="1024" />
+		<layer id="3" name="Constant_19221_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_7764" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="4" name="Constant_19221" 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">
@@ -76,7 +77,7 @@
 			</output>
 		</layer>
 		<layer id="5" name="vae.encoder.conv_in.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="128, 3, 3, 3" offset="2048" size="6912" />
+			<data element_type="f16" shape="128, 3, 3, 3" offset="2048" size="6912"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>128</dim>
@@ -87,9 +88,10 @@
 			</output>
 		</layer>
 		<layer id="6" name="vae.encoder.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.encoder.conv_in.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -109,7 +111,10 @@
 			</output>
 		</layer>
 		<layer id="7" name="/encoder/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="/encoder/conv_in/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -133,8 +138,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="8" name="Reshape_121_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="8960" size="256" />
+		<layer id="8" name="Reshape_129_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="8960" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -144,10 +149,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="9" name="Reshape_121" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="9" name="Reshape_129" 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="/encoder/conv_in/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/conv_in/Conv, Concat_128, Reshape_129"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -192,9 +200,9 @@
 			</output>
 		</layer>
 		<layer id="11" name="/encoder/down_blocks.0/resnets.0/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9216" size="24" />
+			<data element_type="i64" shape="3" offset="9216" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.0/resnets.0/norm1/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/encoder/down_blocks.0/resnets.0/norm1/Constant_output_0">
@@ -203,7 +211,10 @@
 			</output>
 		</layer>
 		<layer id="12" name="/encoder/down_blocks.0/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="/encoder/down_blocks.0/resnets.0/norm1/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -223,16 +234,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="13" name="Constant_127" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9240" size="8" />
+		<layer id="13" name="Constant_166" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9240" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_166"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="14" name="MVN_128" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="14" name="MVN_167" 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="/encoder/down_blocks.0/resnets.0/norm1/InstanceNormalization, Concat_186, Concat_231, MVN_167, Multiply_214, Reshape_187, Reshape_232"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -252,7 +269,10 @@
 			</output>
 		</layer>
 		<layer id="15" name="/encoder/down_blocks.0/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="/encoder/down_blocks.0/resnets.0/norm1/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -268,7 +288,10 @@
 			</output>
 		</layer>
 		<layer id="16" name="/encoder/down_blocks.0/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="/encoder/down_blocks.0/resnets.0/norm1/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -288,8 +311,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="17" name="Constant_7726_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="9248" size="256" />
+		<layer id="17" name="Constant_19183_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="9248" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -299,10 +322,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="18" name="Constant_7726" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="18" name="Constant_19183" 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">
@@ -322,7 +345,10 @@
 			</output>
 		</layer>
 		<layer id="19" name="/encoder/down_blocks.0/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="/encoder/down_blocks.0/resnets.0/norm1/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -346,8 +372,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="20" name="Constant_7727_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="9504" size="256" />
+		<layer id="20" name="Constant_19184_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="9504" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -357,10 +383,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="21" name="Constant_7727" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="21" name="Constant_19184" 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">
@@ -380,7 +406,10 @@
 			</output>
 		</layer>
 		<layer id="22" name="/encoder/down_blocks.0/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="/encoder/down_blocks.0/resnets.0/norm1/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -405,6 +434,9 @@
 			</output>
 		</layer>
 		<layer id="23" name="/encoder/down_blocks.0/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.0/resnets.0/nonlinearity/Mul, /encoder/down_blocks.0/resnets.0/nonlinearity/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -423,7 +455,7 @@
 			</output>
 		</layer>
 		<layer id="24" name="vae.encoder.down_blocks.0.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="128, 128, 3, 3" offset="9760" size="294912" />
+			<data element_type="f16" shape="128, 128, 3, 3" offset="9760" size="294912"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>128</dim>
@@ -434,9 +466,10 @@
 			</output>
 		</layer>
 		<layer id="25" name="vae.encoder.down_blocks.0.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.encoder.down_blocks.0.resnets.0.conv1.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -456,7 +489,10 @@
 			</output>
 		</layer>
 		<layer id="26" name="/encoder/down_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" />
+			<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="/encoder/down_blocks.0/resnets.0/conv1/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -480,8 +516,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="27" name="Reshape_168_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="304672" size="256" />
+		<layer id="27" name="Reshape_291_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="304672" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -491,10 +527,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="28" name="Reshape_168" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="28" name="Reshape_291" 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">
@@ -514,7 +550,10 @@
 			</output>
 		</layer>
 		<layer id="29" name="/encoder/down_blocks.0/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="/encoder/down_blocks.0/resnets.0/conv1/Conv, Concat_290, Reshape_291"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -539,9 +578,9 @@
 			</output>
 		</layer>
 		<layer id="30" name="/encoder/down_blocks.0/resnets.0/norm2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9216" size="24" />
+			<data element_type="i64" shape="3" offset="9216" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.0/resnets.0/norm2/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/encoder/down_blocks.0/resnets.0/norm2/Constant_output_0">
@@ -550,7 +589,10 @@
 			</output>
 		</layer>
 		<layer id="31" name="/encoder/down_blocks.0/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="/encoder/down_blocks.0/resnets.0/norm2/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -570,16 +612,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="32" name="Constant_174" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9240" size="8" />
+		<layer id="32" name="Constant_328" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9240" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_328"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="33" name="MVN_175" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="33" name="MVN_329" 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="/encoder/down_blocks.0/resnets.0/norm2/InstanceNormalization, Concat_348, Concat_393, MVN_329, Multiply_376, Reshape_349, Reshape_394"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -599,7 +647,10 @@
 			</output>
 		</layer>
 		<layer id="34" name="/encoder/down_blocks.0/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="/encoder/down_blocks.0/resnets.0/norm2/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -615,7 +666,10 @@
 			</output>
 		</layer>
 		<layer id="35" name="/encoder/down_blocks.0/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="/encoder/down_blocks.0/resnets.0/norm2/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -635,8 +689,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="36" name="Constant_7728_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="304928" size="256" />
+		<layer id="36" name="Constant_19185_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="304928" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -646,10 +700,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="37" name="Constant_7728" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="37" name="Constant_19185" 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">
@@ -669,7 +723,10 @@
 			</output>
 		</layer>
 		<layer id="38" name="/encoder/down_blocks.0/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="/encoder/down_blocks.0/resnets.0/norm2/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -693,8 +750,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="39" name="Constant_7729_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="305184" size="256" />
+		<layer id="39" name="Constant_19186_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="305184" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -704,10 +761,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="40" name="Constant_7729" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="40" name="Constant_19186" 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">
@@ -727,7 +784,10 @@
 			</output>
 		</layer>
 		<layer id="41" name="/encoder/down_blocks.0/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="/encoder/down_blocks.0/resnets.0/norm2/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -752,6 +812,9 @@
 			</output>
 		</layer>
 		<layer id="42" name="/encoder/down_blocks.0/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.0/resnets.0/nonlinearity_1/Mul, /encoder/down_blocks.0/resnets.0/nonlinearity_1/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -770,7 +833,7 @@
 			</output>
 		</layer>
 		<layer id="43" name="vae.encoder.down_blocks.0.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="128, 128, 3, 3" offset="305440" size="294912" />
+			<data element_type="f16" shape="128, 128, 3, 3" offset="305440" size="294912"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>128</dim>
@@ -781,9 +844,10 @@
 			</output>
 		</layer>
 		<layer id="44" name="vae.encoder.down_blocks.0.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.encoder.down_blocks.0.resnets.0.conv2.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -803,7 +867,10 @@
 			</output>
 		</layer>
 		<layer id="45" name="/encoder/down_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" />
+			<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="/encoder/down_blocks.0/resnets.0/conv2/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -827,8 +894,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="46" name="Reshape_215_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="600352" size="256" />
+		<layer id="46" name="Reshape_453_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="600352" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -838,10 +905,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="47" name="Reshape_215" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="47" name="Reshape_453" 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">
@@ -861,7 +928,10 @@
 			</output>
 		</layer>
 		<layer id="48" name="/encoder/down_blocks.0/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="/encoder/down_blocks.0/resnets.0/conv2/Conv, Concat_452, Reshape_453"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -886,7 +956,10 @@
 			</output>
 		</layer>
 		<layer id="49" name="/encoder/down_blocks.0/resnets.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.0/resnets.0/Add, /encoder/down_blocks.0/resnets.0/Div"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -911,9 +984,9 @@
 			</output>
 		</layer>
 		<layer id="50" name="/encoder/down_blocks.0/resnets.1/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9216" size="24" />
+			<data element_type="i64" shape="3" offset="9216" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.0/resnets.1/norm1/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/encoder/down_blocks.0/resnets.1/norm1/Constant_output_0">
@@ -922,7 +995,10 @@
 			</output>
 		</layer>
 		<layer id="51" name="/encoder/down_blocks.0/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.0/resnets.1/norm1/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -942,16 +1018,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="52" name="Constant_224" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9240" size="8" />
+		<layer id="52" name="Constant_493" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9240" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_493"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="53" name="MVN_225" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="53" name="MVN_494" 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="/encoder/down_blocks.0/resnets.1/norm1/InstanceNormalization, Concat_513, Concat_558, MVN_494, Multiply_541, Reshape_514, Reshape_559"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -971,7 +1053,10 @@
 			</output>
 		</layer>
 		<layer id="54" name="/encoder/down_blocks.0/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.0/resnets.1/norm1/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -987,7 +1072,10 @@
 			</output>
 		</layer>
 		<layer id="55" name="/encoder/down_blocks.0/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.0/resnets.1/norm1/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1007,8 +1095,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="56" name="Constant_7730_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="600608" size="256" />
+		<layer id="56" name="Constant_19187_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="600608" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -1018,10 +1106,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="57" name="Constant_7730" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="57" name="Constant_19187" 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">
@@ -1041,7 +1129,10 @@
 			</output>
 		</layer>
 		<layer id="58" name="/encoder/down_blocks.0/resnets.1/norm1/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.0/resnets.1/norm1/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1065,8 +1156,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="59" name="Constant_7731_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="600864" size="256" />
+		<layer id="59" name="Constant_19188_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="600864" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -1076,10 +1167,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="60" name="Constant_7731" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="60" name="Constant_19188" 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">
@@ -1099,7 +1190,10 @@
 			</output>
 		</layer>
 		<layer id="61" name="/encoder/down_blocks.0/resnets.1/norm1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.0/resnets.1/norm1/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1124,6 +1218,9 @@
 			</output>
 		</layer>
 		<layer id="62" name="/encoder/down_blocks.0/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.0/resnets.1/nonlinearity/Mul, /encoder/down_blocks.0/resnets.1/nonlinearity/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1142,7 +1239,7 @@
 			</output>
 		</layer>
 		<layer id="63" name="vae.encoder.down_blocks.0.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="128, 128, 3, 3" offset="601120" size="294912" />
+			<data element_type="f16" shape="128, 128, 3, 3" offset="601120" size="294912"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>128</dim>
@@ -1153,9 +1250,10 @@
 			</output>
 		</layer>
 		<layer id="64" name="vae.encoder.down_blocks.0.resnets.1.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.encoder.down_blocks.0.resnets.1.conv1.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -1175,7 +1273,10 @@
 			</output>
 		</layer>
 		<layer id="65" name="/encoder/down_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" />
+			<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="/encoder/down_blocks.0/resnets.1/conv1/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1199,8 +1300,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="66" name="Reshape_265_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="896032" size="256" />
+		<layer id="66" name="Reshape_618_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="896032" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -1210,10 +1311,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="67" name="Reshape_265" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="67" name="Reshape_618" 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">
@@ -1233,7 +1334,10 @@
 			</output>
 		</layer>
 		<layer id="68" name="/encoder/down_blocks.0/resnets.1/conv1/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.0/resnets.1/conv1/Conv, Concat_617, Reshape_618"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1258,9 +1362,9 @@
 			</output>
 		</layer>
 		<layer id="69" name="/encoder/down_blocks.0/resnets.1/norm2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9216" size="24" />
+			<data element_type="i64" shape="3" offset="9216" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.0/resnets.1/norm2/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/encoder/down_blocks.0/resnets.1/norm2/Constant_output_0">
@@ -1269,7 +1373,10 @@
 			</output>
 		</layer>
 		<layer id="70" name="/encoder/down_blocks.0/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.0/resnets.1/norm2/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1289,16 +1396,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="71" name="Constant_271" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9240" size="8" />
+		<layer id="71" name="Constant_655" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9240" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_655"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="72" name="MVN_272" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="72" name="MVN_656" 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="/encoder/down_blocks.0/resnets.1/norm2/InstanceNormalization, Concat_675, Concat_720, MVN_656, Multiply_703, Reshape_676, Reshape_721"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1318,7 +1431,10 @@
 			</output>
 		</layer>
 		<layer id="73" name="/encoder/down_blocks.0/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.0/resnets.1/norm2/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1334,7 +1450,10 @@
 			</output>
 		</layer>
 		<layer id="74" name="/encoder/down_blocks.0/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.0/resnets.1/norm2/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1354,8 +1473,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="75" name="Constant_7732_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="896288" size="256" />
+		<layer id="75" name="Constant_19189_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="896288" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -1365,10 +1484,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="76" name="Constant_7732" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="76" name="Constant_19189" 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">
@@ -1388,7 +1507,10 @@
 			</output>
 		</layer>
 		<layer id="77" name="/encoder/down_blocks.0/resnets.1/norm2/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.0/resnets.1/norm2/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1412,8 +1534,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="78" name="Constant_7733_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="896544" size="256" />
+		<layer id="78" name="Constant_19190_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="896544" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -1423,10 +1545,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="79" name="Constant_7733" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="79" name="Constant_19190" 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">
@@ -1446,7 +1568,10 @@
 			</output>
 		</layer>
 		<layer id="80" name="/encoder/down_blocks.0/resnets.1/norm2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.0/resnets.1/norm2/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1471,6 +1596,9 @@
 			</output>
 		</layer>
 		<layer id="81" name="/encoder/down_blocks.0/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.0/resnets.1/nonlinearity_1/Mul, /encoder/down_blocks.0/resnets.1/nonlinearity_1/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1489,7 +1617,7 @@
 			</output>
 		</layer>
 		<layer id="82" name="vae.encoder.down_blocks.0.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="128, 128, 3, 3" offset="896800" size="294912" />
+			<data element_type="f16" shape="128, 128, 3, 3" offset="896800" size="294912"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>128</dim>
@@ -1500,9 +1628,10 @@
 			</output>
 		</layer>
 		<layer id="83" name="vae.encoder.down_blocks.0.resnets.1.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.encoder.down_blocks.0.resnets.1.conv2.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -1522,7 +1651,10 @@
 			</output>
 		</layer>
 		<layer id="84" name="/encoder/down_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" />
+			<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="/encoder/down_blocks.0/resnets.1/conv2/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1546,8 +1678,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="85" name="Reshape_312_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="1191712" size="256" />
+		<layer id="85" name="Reshape_780_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="1191712" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -1557,10 +1689,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="86" name="Reshape_312" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="86" name="Reshape_780" 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">
@@ -1580,7 +1712,10 @@
 			</output>
 		</layer>
 		<layer id="87" name="/encoder/down_blocks.0/resnets.1/conv2/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.0/resnets.1/conv2/Conv, Concat_779, Reshape_780"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1605,7 +1740,10 @@
 			</output>
 		</layer>
 		<layer id="88" name="/encoder/down_blocks.0/resnets.1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.0/resnets.1/Add, /encoder/down_blocks.0/resnets.1/Div"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1630,7 +1768,7 @@
 			</output>
 		</layer>
 		<layer id="89" name="vae.encoder.down_blocks.0.downsamplers.0.conv.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="128, 128, 3, 3" offset="1191968" size="294912" />
+			<data element_type="f16" shape="128, 128, 3, 3" offset="1191968" size="294912"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>128</dim>
@@ -1641,9 +1779,10 @@
 			</output>
 		</layer>
 		<layer id="90" name="vae.encoder.down_blocks.0.downsamplers.0.conv.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.encoder.down_blocks.0.downsamplers.0.conv.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -1663,7 +1802,10 @@
 			</output>
 		</layer>
 		<layer id="91" name="/encoder/down_blocks.0/downsamplers.0/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="1, 1" auto_pad="explicit" />
+			<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.0/downsamplers.0/Pad, /encoder/down_blocks.0/downsamplers.0/conv/Conv/WithoutBiases, Split_846"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1687,8 +1829,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="92" name="Reshape_358_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="1486880" size="256" />
+		<layer id="92" name="Reshape_934_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="1486880" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -1698,10 +1840,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="93" name="Reshape_358" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="93" name="Reshape_934" 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">
@@ -1721,7 +1863,10 @@
 			</output>
 		</layer>
 		<layer id="94" name="/encoder/down_blocks.0/downsamplers.0/conv/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.0/downsamplers.0/conv/Conv, Concat_933, Reshape_934"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1746,7 +1891,7 @@
 			</output>
 		</layer>
 		<layer id="95" name="vae.encoder.down_blocks.1.resnets.0.conv_shortcut.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="256, 128, 1, 1" offset="1487136" size="65536" />
+			<data element_type="f16" shape="256, 128, 1, 1" offset="1487136" size="65536"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>256</dim>
@@ -1757,9 +1902,10 @@
 			</output>
 		</layer>
 		<layer id="96" name="vae.encoder.down_blocks.1.resnets.0.conv_shortcut.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.encoder.down_blocks.1.resnets.0.conv_shortcut.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -1779,7 +1925,10 @@
 			</output>
 		</layer>
 		<layer id="97" name="/encoder/down_blocks.1/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" />
+			<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="/encoder/down_blocks.1/resnets.0/conv_shortcut/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1803,8 +1952,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="98" name="Reshape_465_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="1552672" size="512" />
+		<layer id="98" name="Reshape_1306_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="1552672" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -1814,10 +1963,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="99" name="Reshape_465" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="99" name="Reshape_1306" 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">
@@ -1837,7 +1986,10 @@
 			</output>
 		</layer>
 		<layer id="100" name="/encoder/down_blocks.1/resnets.0/conv_shortcut/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.1/resnets.0/conv_shortcut/Conv, Concat_1305, Reshape_1306"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1862,9 +2014,9 @@
 			</output>
 		</layer>
 		<layer id="101" name="/encoder/down_blocks.1/resnets.0/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9216" size="24" />
+			<data element_type="i64" shape="3" offset="9216" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.1/resnets.0/norm1/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/encoder/down_blocks.1/resnets.0/norm1/Constant_output_0">
@@ -1873,7 +2025,10 @@
 			</output>
 		</layer>
 		<layer id="102" name="/encoder/down_blocks.1/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="/encoder/down_blocks.1/resnets.0/norm1/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1893,16 +2048,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="103" name="Constant_364" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9240" size="8" />
+		<layer id="103" name="Constant_971" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9240" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_971"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="104" name="MVN_365" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="104" name="MVN_972" 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="/encoder/down_blocks.1/resnets.0/norm1/InstanceNormalization, Concat_1036, Concat_991, MVN_972, Multiply_1019, Reshape_1037, Reshape_992"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1922,7 +2083,10 @@
 			</output>
 		</layer>
 		<layer id="105" name="/encoder/down_blocks.1/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="/encoder/down_blocks.1/resnets.0/norm1/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1938,7 +2102,10 @@
 			</output>
 		</layer>
 		<layer id="106" name="/encoder/down_blocks.1/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="/encoder/down_blocks.1/resnets.0/norm1/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1958,8 +2125,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="107" name="Constant_7734_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="1553184" size="256" />
+		<layer id="107" name="Constant_19191_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="1553184" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -1969,10 +2136,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="108" name="Constant_7734" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="108" name="Constant_19191" 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">
@@ -1992,7 +2159,10 @@
 			</output>
 		</layer>
 		<layer id="109" name="/encoder/down_blocks.1/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="/encoder/down_blocks.1/resnets.0/norm1/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2016,8 +2186,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="110" name="Constant_7735_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 128, 1, 1" offset="1553440" size="256" />
+		<layer id="110" name="Constant_19192_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="1553440" size="256"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -2027,10 +2197,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="111" name="Constant_7735" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="111" name="Constant_19192" 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">
@@ -2050,7 +2220,10 @@
 			</output>
 		</layer>
 		<layer id="112" name="/encoder/down_blocks.1/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="/encoder/down_blocks.1/resnets.0/norm1/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2075,6 +2248,9 @@
 			</output>
 		</layer>
 		<layer id="113" name="/encoder/down_blocks.1/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.1/resnets.0/nonlinearity/Mul, /encoder/down_blocks.1/resnets.0/nonlinearity/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2093,7 +2269,7 @@
 			</output>
 		</layer>
 		<layer id="114" name="vae.encoder.down_blocks.1.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="256, 128, 3, 3" offset="1553696" size="589824" />
+			<data element_type="f16" shape="256, 128, 3, 3" offset="1553696" size="589824"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>256</dim>
@@ -2104,9 +2280,10 @@
 			</output>
 		</layer>
 		<layer id="115" name="vae.encoder.down_blocks.1.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.encoder.down_blocks.1.resnets.0.conv1.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -2126,7 +2303,10 @@
 			</output>
 		</layer>
 		<layer id="116" name="/encoder/down_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" />
+			<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="/encoder/down_blocks.1/resnets.0/conv1/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2150,8 +2330,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="117" name="Reshape_405_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="2143520" size="512" />
+		<layer id="117" name="Reshape_1096_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="2143520" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -2161,10 +2341,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="118" name="Reshape_405" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="118" name="Reshape_1096" 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">
@@ -2184,7 +2364,10 @@
 			</output>
 		</layer>
 		<layer id="119" name="/encoder/down_blocks.1/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="/encoder/down_blocks.1/resnets.0/conv1/Conv, Concat_1095, Reshape_1096"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2209,9 +2392,9 @@
 			</output>
 		</layer>
 		<layer id="120" name="/encoder/down_blocks.1/resnets.0/norm2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9216" size="24" />
+			<data element_type="i64" shape="3" offset="9216" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.1/resnets.0/norm2/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/encoder/down_blocks.1/resnets.0/norm2/Constant_output_0">
@@ -2220,7 +2403,10 @@
 			</output>
 		</layer>
 		<layer id="121" name="/encoder/down_blocks.1/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="/encoder/down_blocks.1/resnets.0/norm2/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2240,16 +2426,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="122" name="Constant_411" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9240" size="8" />
+		<layer id="122" name="Constant_1133" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9240" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_1133"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="123" name="MVN_412" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="123" name="MVN_1134" 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="/encoder/down_blocks.1/resnets.0/norm2/InstanceNormalization, Concat_1153, Concat_1198, MVN_1134, Multiply_1181, Reshape_1154, Reshape_1199"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2269,7 +2461,10 @@
 			</output>
 		</layer>
 		<layer id="124" name="/encoder/down_blocks.1/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="/encoder/down_blocks.1/resnets.0/norm2/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2285,7 +2480,10 @@
 			</output>
 		</layer>
 		<layer id="125" name="/encoder/down_blocks.1/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="/encoder/down_blocks.1/resnets.0/norm2/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2305,8 +2503,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="126" name="Constant_7736_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="2144032" size="512" />
+		<layer id="126" name="Constant_19193_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="2144032" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -2316,10 +2514,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="127" name="Constant_7736" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="127" name="Constant_19193" 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">
@@ -2339,7 +2537,10 @@
 			</output>
 		</layer>
 		<layer id="128" name="/encoder/down_blocks.1/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="/encoder/down_blocks.1/resnets.0/norm2/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2363,8 +2564,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="129" name="Constant_7737_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="2144544" size="512" />
+		<layer id="129" name="Constant_19194_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="2144544" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -2374,10 +2575,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="130" name="Constant_7737" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="130" name="Constant_19194" 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">
@@ -2397,7 +2598,10 @@
 			</output>
 		</layer>
 		<layer id="131" name="/encoder/down_blocks.1/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="/encoder/down_blocks.1/resnets.0/norm2/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2422,6 +2626,9 @@
 			</output>
 		</layer>
 		<layer id="132" name="/encoder/down_blocks.1/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.1/resnets.0/nonlinearity_1/Mul, /encoder/down_blocks.1/resnets.0/nonlinearity_1/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2440,7 +2647,7 @@
 			</output>
 		</layer>
 		<layer id="133" name="vae.encoder.down_blocks.1.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="256, 256, 3, 3" offset="2145056" size="1179648" />
+			<data element_type="f16" shape="256, 256, 3, 3" offset="2145056" size="1179648"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>256</dim>
@@ -2451,9 +2658,10 @@
 			</output>
 		</layer>
 		<layer id="134" name="vae.encoder.down_blocks.1.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.encoder.down_blocks.1.resnets.0.conv2.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -2473,7 +2681,10 @@
 			</output>
 		</layer>
 		<layer id="135" name="/encoder/down_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" />
+			<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="/encoder/down_blocks.1/resnets.0/conv2/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2497,8 +2708,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="136" name="Reshape_452_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="3324704" size="512" />
+		<layer id="136" name="Reshape_1258_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="3324704" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -2508,10 +2719,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="137" name="Reshape_452" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="137" name="Reshape_1258" 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">
@@ -2531,7 +2742,10 @@
 			</output>
 		</layer>
 		<layer id="138" name="/encoder/down_blocks.1/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="/encoder/down_blocks.1/resnets.0/conv2/Conv, Concat_1257, Reshape_1258"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2556,7 +2770,10 @@
 			</output>
 		</layer>
 		<layer id="139" name="/encoder/down_blocks.1/resnets.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.1/resnets.0/Add, /encoder/down_blocks.1/resnets.0/Div"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2581,9 +2798,9 @@
 			</output>
 		</layer>
 		<layer id="140" name="/encoder/down_blocks.1/resnets.1/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9216" size="24" />
+			<data element_type="i64" shape="3" offset="9216" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.1/resnets.1/norm1/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/encoder/down_blocks.1/resnets.1/norm1/Constant_output_0">
@@ -2592,7 +2809,10 @@
 			</output>
 		</layer>
 		<layer id="141" name="/encoder/down_blocks.1/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.1/resnets.1/norm1/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2612,16 +2832,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="142" name="Constant_474" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9240" size="8" />
+		<layer id="142" name="Constant_1346" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9240" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_1346"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="143" name="MVN_475" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="143" name="MVN_1347" 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="/encoder/down_blocks.1/resnets.1/norm1/InstanceNormalization, Concat_1366, Concat_1411, MVN_1347, Multiply_1394, Reshape_1367, Reshape_1412"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2641,7 +2867,10 @@
 			</output>
 		</layer>
 		<layer id="144" name="/encoder/down_blocks.1/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.1/resnets.1/norm1/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2657,7 +2886,10 @@
 			</output>
 		</layer>
 		<layer id="145" name="/encoder/down_blocks.1/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.1/resnets.1/norm1/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2677,8 +2909,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="146" name="Constant_7738_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="3325216" size="512" />
+		<layer id="146" name="Constant_19195_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="3325216" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -2688,10 +2920,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="147" name="Constant_7738" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="147" name="Constant_19195" 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">
@@ -2711,7 +2943,10 @@
 			</output>
 		</layer>
 		<layer id="148" name="/encoder/down_blocks.1/resnets.1/norm1/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.1/resnets.1/norm1/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2735,8 +2970,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="149" name="Constant_7739_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="3325728" size="512" />
+		<layer id="149" name="Constant_19196_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="3325728" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -2746,10 +2981,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="150" name="Constant_7739" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="150" name="Constant_19196" 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">
@@ -2769,7 +3004,10 @@
 			</output>
 		</layer>
 		<layer id="151" name="/encoder/down_blocks.1/resnets.1/norm1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.1/resnets.1/norm1/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2794,6 +3032,9 @@
 			</output>
 		</layer>
 		<layer id="152" name="/encoder/down_blocks.1/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.1/resnets.1/nonlinearity/Mul, /encoder/down_blocks.1/resnets.1/nonlinearity/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2812,7 +3053,7 @@
 			</output>
 		</layer>
 		<layer id="153" name="vae.encoder.down_blocks.1.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="256, 256, 3, 3" offset="3326240" size="1179648" />
+			<data element_type="f16" shape="256, 256, 3, 3" offset="3326240" size="1179648"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>256</dim>
@@ -2823,9 +3064,10 @@
 			</output>
 		</layer>
 		<layer id="154" name="vae.encoder.down_blocks.1.resnets.1.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.encoder.down_blocks.1.resnets.1.conv1.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -2845,7 +3087,10 @@
 			</output>
 		</layer>
 		<layer id="155" name="/encoder/down_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" />
+			<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="/encoder/down_blocks.1/resnets.1/conv1/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2869,8 +3114,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="156" name="Reshape_515_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="4505888" size="512" />
+		<layer id="156" name="Reshape_1471_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="4505888" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -2880,10 +3125,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="157" name="Reshape_515" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="157" name="Reshape_1471" 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">
@@ -2903,7 +3148,10 @@
 			</output>
 		</layer>
 		<layer id="158" name="/encoder/down_blocks.1/resnets.1/conv1/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.1/resnets.1/conv1/Conv, Concat_1470, Reshape_1471"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2928,9 +3176,9 @@
 			</output>
 		</layer>
 		<layer id="159" name="/encoder/down_blocks.1/resnets.1/norm2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9216" size="24" />
+			<data element_type="i64" shape="3" offset="9216" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.1/resnets.1/norm2/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/encoder/down_blocks.1/resnets.1/norm2/Constant_output_0">
@@ -2939,7 +3187,10 @@
 			</output>
 		</layer>
 		<layer id="160" name="/encoder/down_blocks.1/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.1/resnets.1/norm2/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2959,16 +3210,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="161" name="Constant_521" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9240" size="8" />
+		<layer id="161" name="Constant_1508" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9240" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_1508"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="162" name="MVN_522" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="162" name="MVN_1509" 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="/encoder/down_blocks.1/resnets.1/norm2/InstanceNormalization, Concat_1528, Concat_1573, MVN_1509, Multiply_1556, Reshape_1529, Reshape_1574"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2988,7 +3245,10 @@
 			</output>
 		</layer>
 		<layer id="163" name="/encoder/down_blocks.1/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.1/resnets.1/norm2/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3004,7 +3264,10 @@
 			</output>
 		</layer>
 		<layer id="164" name="/encoder/down_blocks.1/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.1/resnets.1/norm2/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3024,8 +3287,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="165" name="Constant_7740_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="4506400" size="512" />
+		<layer id="165" name="Constant_19197_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="4506400" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -3035,10 +3298,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="166" name="Constant_7740" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="166" name="Constant_19197" 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">
@@ -3058,7 +3321,10 @@
 			</output>
 		</layer>
 		<layer id="167" name="/encoder/down_blocks.1/resnets.1/norm2/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.1/resnets.1/norm2/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3082,8 +3348,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="168" name="Constant_7741_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="4506912" size="512" />
+		<layer id="168" name="Constant_19198_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="4506912" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -3093,10 +3359,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="169" name="Constant_7741" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="169" name="Constant_19198" 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">
@@ -3116,7 +3382,10 @@
 			</output>
 		</layer>
 		<layer id="170" name="/encoder/down_blocks.1/resnets.1/norm2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.1/resnets.1/norm2/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3141,6 +3410,9 @@
 			</output>
 		</layer>
 		<layer id="171" name="/encoder/down_blocks.1/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.1/resnets.1/nonlinearity_1/Mul, /encoder/down_blocks.1/resnets.1/nonlinearity_1/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3159,7 +3431,7 @@
 			</output>
 		</layer>
 		<layer id="172" name="vae.encoder.down_blocks.1.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="256, 256, 3, 3" offset="4507424" size="1179648" />
+			<data element_type="f16" shape="256, 256, 3, 3" offset="4507424" size="1179648"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>256</dim>
@@ -3170,9 +3442,10 @@
 			</output>
 		</layer>
 		<layer id="173" name="vae.encoder.down_blocks.1.resnets.1.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.encoder.down_blocks.1.resnets.1.conv2.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -3192,7 +3465,10 @@
 			</output>
 		</layer>
 		<layer id="174" name="/encoder/down_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" />
+			<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="/encoder/down_blocks.1/resnets.1/conv2/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3216,8 +3492,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="175" name="Reshape_562_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="5687072" size="512" />
+		<layer id="175" name="Reshape_1633_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="5687072" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -3227,10 +3503,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="176" name="Reshape_562" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="176" name="Reshape_1633" 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">
@@ -3250,7 +3526,10 @@
 			</output>
 		</layer>
 		<layer id="177" name="/encoder/down_blocks.1/resnets.1/conv2/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.1/resnets.1/conv2/Conv, Concat_1632, Reshape_1633"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3275,7 +3554,10 @@
 			</output>
 		</layer>
 		<layer id="178" name="/encoder/down_blocks.1/resnets.1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.1/resnets.1/Add, /encoder/down_blocks.1/resnets.1/Div"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3300,7 +3582,7 @@
 			</output>
 		</layer>
 		<layer id="179" name="vae.encoder.down_blocks.1.downsamplers.0.conv.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="256, 256, 3, 3" offset="5687584" size="1179648" />
+			<data element_type="f16" shape="256, 256, 3, 3" offset="5687584" size="1179648"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>256</dim>
@@ -3311,9 +3593,10 @@
 			</output>
 		</layer>
 		<layer id="180" name="vae.encoder.down_blocks.1.downsamplers.0.conv.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.encoder.down_blocks.1.downsamplers.0.conv.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -3333,7 +3616,10 @@
 			</output>
 		</layer>
 		<layer id="181" name="/encoder/down_blocks.1/downsamplers.0/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="1, 1" auto_pad="explicit" />
+			<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.1/downsamplers.0/Pad, /encoder/down_blocks.1/downsamplers.0/conv/Conv/WithoutBiases, Split_1699"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3357,8 +3643,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="182" name="Reshape_608_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="6867232" size="512" />
+		<layer id="182" name="Reshape_1787_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="6867232" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -3368,10 +3654,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="183" name="Reshape_608" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="183" name="Reshape_1787" 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">
@@ -3391,7 +3677,10 @@
 			</output>
 		</layer>
 		<layer id="184" name="/encoder/down_blocks.1/downsamplers.0/conv/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.1/downsamplers.0/conv/Conv, Concat_1786, Reshape_1787"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3416,7 +3705,7 @@
 			</output>
 		</layer>
 		<layer id="185" name="vae.encoder.down_blocks.2.resnets.0.conv_shortcut.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 256, 1, 1" offset="6867744" size="262144" />
+			<data element_type="f16" shape="512, 256, 1, 1" offset="6867744" size="262144"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -3427,9 +3716,10 @@
 			</output>
 		</layer>
 		<layer id="186" name="vae.encoder.down_blocks.2.resnets.0.conv_shortcut.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.encoder.down_blocks.2.resnets.0.conv_shortcut.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -3449,7 +3739,10 @@
 			</output>
 		</layer>
 		<layer id="187" name="/encoder/down_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" />
+			<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="/encoder/down_blocks.2/resnets.0/conv_shortcut/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3473,8 +3766,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="188" name="Reshape_715_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="7129888" size="1024" />
+		<layer id="188" name="Reshape_2159_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="7129888" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -3484,10 +3777,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="189" name="Reshape_715" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="189" name="Reshape_2159" 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">
@@ -3507,7 +3800,10 @@
 			</output>
 		</layer>
 		<layer id="190" name="/encoder/down_blocks.2/resnets.0/conv_shortcut/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.2/resnets.0/conv_shortcut/Conv, Concat_2158, Reshape_2159"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3532,9 +3828,9 @@
 			</output>
 		</layer>
 		<layer id="191" name="/encoder/down_blocks.2/resnets.0/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9216" size="24" />
+			<data element_type="i64" shape="3" offset="9216" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.2/resnets.0/norm1/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/encoder/down_blocks.2/resnets.0/norm1/Constant_output_0">
@@ -3543,7 +3839,10 @@
 			</output>
 		</layer>
 		<layer id="192" name="/encoder/down_blocks.2/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="/encoder/down_blocks.2/resnets.0/norm1/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3563,16 +3862,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="193" name="Constant_614" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9240" size="8" />
+		<layer id="193" name="Constant_1824" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9240" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_1824"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="194" name="MVN_615" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="194" name="MVN_1825" 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="/encoder/down_blocks.2/resnets.0/norm1/InstanceNormalization, Concat_1844, Concat_1889, MVN_1825, Multiply_1872, Reshape_1845, Reshape_1890"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3592,7 +3897,10 @@
 			</output>
 		</layer>
 		<layer id="195" name="/encoder/down_blocks.2/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="/encoder/down_blocks.2/resnets.0/norm1/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3608,7 +3916,10 @@
 			</output>
 		</layer>
 		<layer id="196" name="/encoder/down_blocks.2/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="/encoder/down_blocks.2/resnets.0/norm1/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3628,8 +3939,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="197" name="Constant_7742_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="7130912" size="512" />
+		<layer id="197" name="Constant_19199_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="7130912" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -3639,10 +3950,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="198" name="Constant_7742" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="198" name="Constant_19199" 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">
@@ -3662,7 +3973,10 @@
 			</output>
 		</layer>
 		<layer id="199" name="/encoder/down_blocks.2/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="/encoder/down_blocks.2/resnets.0/norm1/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3686,8 +4000,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="200" name="Constant_7743_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 256, 1, 1" offset="7131424" size="512" />
+		<layer id="200" name="Constant_19200_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="7131424" size="512"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -3697,10 +4011,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="201" name="Constant_7743" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="201" name="Constant_19200" 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">
@@ -3720,7 +4034,10 @@
 			</output>
 		</layer>
 		<layer id="202" name="/encoder/down_blocks.2/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="/encoder/down_blocks.2/resnets.0/norm1/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3745,6 +4062,9 @@
 			</output>
 		</layer>
 		<layer id="203" name="/encoder/down_blocks.2/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.2/resnets.0/nonlinearity/Mul, /encoder/down_blocks.2/resnets.0/nonlinearity/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3763,7 +4083,7 @@
 			</output>
 		</layer>
 		<layer id="204" name="vae.encoder.down_blocks.2.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 256, 3, 3" offset="7131936" size="2359296" />
+			<data element_type="f16" shape="512, 256, 3, 3" offset="7131936" size="2359296"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -3774,9 +4094,10 @@
 			</output>
 		</layer>
 		<layer id="205" name="vae.encoder.down_blocks.2.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.encoder.down_blocks.2.resnets.0.conv1.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -3796,7 +4117,10 @@
 			</output>
 		</layer>
 		<layer id="206" name="/encoder/down_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" />
+			<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="/encoder/down_blocks.2/resnets.0/conv1/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3820,8 +4144,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="207" name="Reshape_655_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="9491232" size="1024" />
+		<layer id="207" name="Reshape_1949_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="9491232" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -3831,10 +4155,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="208" name="Reshape_655" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="208" name="Reshape_1949" 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">
@@ -3854,7 +4178,10 @@
 			</output>
 		</layer>
 		<layer id="209" name="/encoder/down_blocks.2/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="/encoder/down_blocks.2/resnets.0/conv1/Conv, Concat_1948, Reshape_1949"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3879,9 +4206,9 @@
 			</output>
 		</layer>
 		<layer id="210" name="/encoder/down_blocks.2/resnets.0/norm2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9216" size="24" />
+			<data element_type="i64" shape="3" offset="9216" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.2/resnets.0/norm2/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/encoder/down_blocks.2/resnets.0/norm2/Constant_output_0">
@@ -3890,7 +4217,10 @@
 			</output>
 		</layer>
 		<layer id="211" name="/encoder/down_blocks.2/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="/encoder/down_blocks.2/resnets.0/norm2/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3910,16 +4240,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="212" name="Constant_661" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9240" size="8" />
+		<layer id="212" name="Constant_1986" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9240" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_1986"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="213" name="MVN_662" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="213" name="MVN_1987" 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="/encoder/down_blocks.2/resnets.0/norm2/InstanceNormalization, Concat_2006, Concat_2051, MVN_1987, Multiply_2034, Reshape_2007, Reshape_2052"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3939,7 +4275,10 @@
 			</output>
 		</layer>
 		<layer id="214" name="/encoder/down_blocks.2/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="/encoder/down_blocks.2/resnets.0/norm2/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3955,7 +4294,10 @@
 			</output>
 		</layer>
 		<layer id="215" name="/encoder/down_blocks.2/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="/encoder/down_blocks.2/resnets.0/norm2/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3975,8 +4317,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="216" name="Constant_7744_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="9492256" size="1024" />
+		<layer id="216" name="Constant_19201_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="9492256" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -3986,10 +4328,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="217" name="Constant_7744" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="217" name="Constant_19201" 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">
@@ -4009,7 +4351,10 @@
 			</output>
 		</layer>
 		<layer id="218" name="/encoder/down_blocks.2/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="/encoder/down_blocks.2/resnets.0/norm2/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4033,8 +4378,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="219" name="Constant_7745_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="9493280" size="1024" />
+		<layer id="219" name="Constant_19202_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="9493280" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -4044,10 +4389,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="220" name="Constant_7745" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="220" name="Constant_19202" 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">
@@ -4067,7 +4412,10 @@
 			</output>
 		</layer>
 		<layer id="221" name="/encoder/down_blocks.2/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="/encoder/down_blocks.2/resnets.0/norm2/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4092,6 +4440,9 @@
 			</output>
 		</layer>
 		<layer id="222" name="/encoder/down_blocks.2/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.2/resnets.0/nonlinearity_1/Mul, /encoder/down_blocks.2/resnets.0/nonlinearity_1/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4110,7 +4461,7 @@
 			</output>
 		</layer>
 		<layer id="223" name="vae.encoder.down_blocks.2.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="9494304" size="4718592" />
+			<data element_type="f16" shape="512, 512, 3, 3" offset="9494304" size="4718592"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -4121,9 +4472,10 @@
 			</output>
 		</layer>
 		<layer id="224" name="vae.encoder.down_blocks.2.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.encoder.down_blocks.2.resnets.0.conv2.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -4143,7 +4495,10 @@
 			</output>
 		</layer>
 		<layer id="225" name="/encoder/down_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" />
+			<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="/encoder/down_blocks.2/resnets.0/conv2/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4167,8 +4522,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="226" name="Reshape_702_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="14212896" size="1024" />
+		<layer id="226" name="Reshape_2111_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="14212896" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -4178,10 +4533,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="227" name="Reshape_702" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="227" name="Reshape_2111" 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">
@@ -4201,7 +4556,10 @@
 			</output>
 		</layer>
 		<layer id="228" name="/encoder/down_blocks.2/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="/encoder/down_blocks.2/resnets.0/conv2/Conv, Concat_2110, Reshape_2111"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4226,7 +4584,10 @@
 			</output>
 		</layer>
 		<layer id="229" name="/encoder/down_blocks.2/resnets.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.2/resnets.0/Add, /encoder/down_blocks.2/resnets.0/Div"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4251,9 +4612,9 @@
 			</output>
 		</layer>
 		<layer id="230" name="/encoder/down_blocks.2/resnets.1/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9216" size="24" />
+			<data element_type="i64" shape="3" offset="9216" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.2/resnets.1/norm1/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/encoder/down_blocks.2/resnets.1/norm1/Constant_output_0">
@@ -4262,7 +4623,10 @@
 			</output>
 		</layer>
 		<layer id="231" name="/encoder/down_blocks.2/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.2/resnets.1/norm1/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4282,16 +4646,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="232" name="Constant_724" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9240" size="8" />
+		<layer id="232" name="Constant_2199" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9240" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_2199"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="233" name="MVN_725" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="233" name="MVN_2200" 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="/encoder/down_blocks.2/resnets.1/norm1/InstanceNormalization, Concat_2219, Concat_2264, MVN_2200, Multiply_2247, Reshape_2220, Reshape_2265"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4311,7 +4681,10 @@
 			</output>
 		</layer>
 		<layer id="234" name="/encoder/down_blocks.2/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.2/resnets.1/norm1/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4327,7 +4700,10 @@
 			</output>
 		</layer>
 		<layer id="235" name="/encoder/down_blocks.2/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.2/resnets.1/norm1/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4347,8 +4723,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="236" name="Constant_7746_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="14213920" size="1024" />
+		<layer id="236" name="Constant_19203_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="14213920" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -4358,10 +4734,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="237" name="Constant_7746" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="237" name="Constant_19203" 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">
@@ -4381,7 +4757,10 @@
 			</output>
 		</layer>
 		<layer id="238" name="/encoder/down_blocks.2/resnets.1/norm1/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.2/resnets.1/norm1/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4405,8 +4784,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="239" name="Constant_7747_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="14214944" size="1024" />
+		<layer id="239" name="Constant_19204_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="14214944" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -4416,10 +4795,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="240" name="Constant_7747" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="240" name="Constant_19204" 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">
@@ -4439,7 +4818,10 @@
 			</output>
 		</layer>
 		<layer id="241" name="/encoder/down_blocks.2/resnets.1/norm1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.2/resnets.1/norm1/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4464,6 +4846,9 @@
 			</output>
 		</layer>
 		<layer id="242" name="/encoder/down_blocks.2/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.2/resnets.1/nonlinearity/Mul, /encoder/down_blocks.2/resnets.1/nonlinearity/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4482,7 +4867,7 @@
 			</output>
 		</layer>
 		<layer id="243" name="vae.encoder.down_blocks.2.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="14215968" size="4718592" />
+			<data element_type="f16" shape="512, 512, 3, 3" offset="14215968" size="4718592"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -4493,9 +4878,10 @@
 			</output>
 		</layer>
 		<layer id="244" name="vae.encoder.down_blocks.2.resnets.1.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.encoder.down_blocks.2.resnets.1.conv1.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -4515,7 +4901,10 @@
 			</output>
 		</layer>
 		<layer id="245" name="/encoder/down_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" />
+			<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="/encoder/down_blocks.2/resnets.1/conv1/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4539,8 +4928,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="246" name="Reshape_765_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="18934560" size="1024" />
+		<layer id="246" name="Reshape_2324_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="18934560" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -4550,10 +4939,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="247" name="Reshape_765" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="247" name="Reshape_2324" 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">
@@ -4573,7 +4962,10 @@
 			</output>
 		</layer>
 		<layer id="248" name="/encoder/down_blocks.2/resnets.1/conv1/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.2/resnets.1/conv1/Conv, Concat_2323, Reshape_2324"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4598,9 +4990,9 @@
 			</output>
 		</layer>
 		<layer id="249" name="/encoder/down_blocks.2/resnets.1/norm2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9216" size="24" />
+			<data element_type="i64" shape="3" offset="9216" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.2/resnets.1/norm2/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/encoder/down_blocks.2/resnets.1/norm2/Constant_output_0">
@@ -4609,7 +5001,10 @@
 			</output>
 		</layer>
 		<layer id="250" name="/encoder/down_blocks.2/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.2/resnets.1/norm2/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4629,16 +5024,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="251" name="Constant_771" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9240" size="8" />
+		<layer id="251" name="Constant_2361" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9240" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_2361"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="252" name="MVN_772" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="252" name="MVN_2362" 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="/encoder/down_blocks.2/resnets.1/norm2/InstanceNormalization, Concat_2381, Concat_2426, MVN_2362, Multiply_2409, Reshape_2382, Reshape_2427"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4658,7 +5059,10 @@
 			</output>
 		</layer>
 		<layer id="253" name="/encoder/down_blocks.2/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.2/resnets.1/norm2/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4674,7 +5078,10 @@
 			</output>
 		</layer>
 		<layer id="254" name="/encoder/down_blocks.2/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.2/resnets.1/norm2/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4694,8 +5101,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="255" name="Constant_7748_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="18935584" size="1024" />
+		<layer id="255" name="Constant_19205_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="18935584" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -4705,10 +5112,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="256" name="Constant_7748" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="256" name="Constant_19205" 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">
@@ -4728,7 +5135,10 @@
 			</output>
 		</layer>
 		<layer id="257" name="/encoder/down_blocks.2/resnets.1/norm2/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.2/resnets.1/norm2/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4752,8 +5162,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="258" name="Constant_7749_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="18936608" size="1024" />
+		<layer id="258" name="Constant_19206_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="18936608" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -4763,10 +5173,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="259" name="Constant_7749" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="259" name="Constant_19206" 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">
@@ -4786,7 +5196,10 @@
 			</output>
 		</layer>
 		<layer id="260" name="/encoder/down_blocks.2/resnets.1/norm2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.2/resnets.1/norm2/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4811,6 +5224,9 @@
 			</output>
 		</layer>
 		<layer id="261" name="/encoder/down_blocks.2/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.2/resnets.1/nonlinearity_1/Mul, /encoder/down_blocks.2/resnets.1/nonlinearity_1/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4829,7 +5245,7 @@
 			</output>
 		</layer>
 		<layer id="262" name="vae.encoder.down_blocks.2.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="18937632" size="4718592" />
+			<data element_type="f16" shape="512, 512, 3, 3" offset="18937632" size="4718592"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -4840,9 +5256,10 @@
 			</output>
 		</layer>
 		<layer id="263" name="vae.encoder.down_blocks.2.resnets.1.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.encoder.down_blocks.2.resnets.1.conv2.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -4862,7 +5279,10 @@
 			</output>
 		</layer>
 		<layer id="264" name="/encoder/down_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" />
+			<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="/encoder/down_blocks.2/resnets.1/conv2/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4886,8 +5306,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="265" name="Reshape_812_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="23656224" size="1024" />
+		<layer id="265" name="Reshape_2486_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="23656224" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -4897,10 +5317,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="266" name="Reshape_812" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="266" name="Reshape_2486" 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">
@@ -4920,7 +5340,10 @@
 			</output>
 		</layer>
 		<layer id="267" name="/encoder/down_blocks.2/resnets.1/conv2/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.2/resnets.1/conv2/Conv, Concat_2485, Reshape_2486"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4945,7 +5368,10 @@
 			</output>
 		</layer>
 		<layer id="268" name="/encoder/down_blocks.2/resnets.1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.2/resnets.1/Add, /encoder/down_blocks.2/resnets.1/Div"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4970,7 +5396,7 @@
 			</output>
 		</layer>
 		<layer id="269" name="vae.encoder.down_blocks.2.downsamplers.0.conv.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="23657248" size="4718592" />
+			<data element_type="f16" shape="512, 512, 3, 3" offset="23657248" size="4718592"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -4981,9 +5407,10 @@
 			</output>
 		</layer>
 		<layer id="270" name="vae.encoder.down_blocks.2.downsamplers.0.conv.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.encoder.down_blocks.2.downsamplers.0.conv.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -5003,7 +5430,10 @@
 			</output>
 		</layer>
 		<layer id="271" name="/encoder/down_blocks.2/downsamplers.0/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
-			<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="1, 1" auto_pad="explicit" />
+			<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.2/downsamplers.0/Pad, /encoder/down_blocks.2/downsamplers.0/conv/Conv/WithoutBiases, Split_2552"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5027,8 +5457,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="272" name="Reshape_858_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="28375840" size="1024" />
+		<layer id="272" name="Reshape_2640_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="28375840" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -5038,10 +5468,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="273" name="Reshape_858" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="273" name="Reshape_2640" 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">
@@ -5061,7 +5491,10 @@
 			</output>
 		</layer>
 		<layer id="274" name="/encoder/down_blocks.2/downsamplers.0/conv/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.2/downsamplers.0/conv/Conv, Concat_2639, Reshape_2640"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5086,9 +5519,9 @@
 			</output>
 		</layer>
 		<layer id="275" name="/encoder/down_blocks.3/resnets.0/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9216" size="24" />
+			<data element_type="i64" shape="3" offset="9216" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.3/resnets.0/norm1/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/encoder/down_blocks.3/resnets.0/norm1/Constant_output_0">
@@ -5097,7 +5530,10 @@
 			</output>
 		</layer>
 		<layer id="276" name="/encoder/down_blocks.3/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="/encoder/down_blocks.3/resnets.0/norm1/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5117,16 +5553,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="277" name="Constant_864" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9240" size="8" />
+		<layer id="277" name="Constant_2677" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9240" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_2677"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="278" name="MVN_865" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="278" name="MVN_2678" 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="/encoder/down_blocks.3/resnets.0/norm1/InstanceNormalization, Concat_2697, Concat_2742, MVN_2678, Multiply_2725, Reshape_2698, Reshape_2743"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5146,7 +5588,10 @@
 			</output>
 		</layer>
 		<layer id="279" name="/encoder/down_blocks.3/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="/encoder/down_blocks.3/resnets.0/norm1/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5162,7 +5607,10 @@
 			</output>
 		</layer>
 		<layer id="280" name="/encoder/down_blocks.3/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="/encoder/down_blocks.3/resnets.0/norm1/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5182,8 +5630,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="281" name="Constant_7750_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="28376864" size="1024" />
+		<layer id="281" name="Constant_19207_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="28376864" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -5193,10 +5641,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="282" name="Constant_7750" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="282" name="Constant_19207" 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">
@@ -5216,7 +5664,10 @@
 			</output>
 		</layer>
 		<layer id="283" name="/encoder/down_blocks.3/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="/encoder/down_blocks.3/resnets.0/norm1/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5240,8 +5691,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="284" name="Constant_7751_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="28377888" size="1024" />
+		<layer id="284" name="Constant_19208_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="28377888" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -5251,10 +5702,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="285" name="Constant_7751" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="285" name="Constant_19208" 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">
@@ -5274,7 +5725,10 @@
 			</output>
 		</layer>
 		<layer id="286" name="/encoder/down_blocks.3/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="/encoder/down_blocks.3/resnets.0/norm1/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5299,6 +5753,9 @@
 			</output>
 		</layer>
 		<layer id="287" name="/encoder/down_blocks.3/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.3/resnets.0/nonlinearity/Mul, /encoder/down_blocks.3/resnets.0/nonlinearity/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5317,7 +5774,7 @@
 			</output>
 		</layer>
 		<layer id="288" name="vae.encoder.down_blocks.3.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="28378912" size="4718592" />
+			<data element_type="f16" shape="512, 512, 3, 3" offset="28378912" size="4718592"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -5328,9 +5785,10 @@
 			</output>
 		</layer>
 		<layer id="289" name="vae.encoder.down_blocks.3.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.encoder.down_blocks.3.resnets.0.conv1.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -5350,7 +5808,10 @@
 			</output>
 		</layer>
 		<layer id="290" name="/encoder/down_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" />
+			<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="/encoder/down_blocks.3/resnets.0/conv1/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5374,8 +5835,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="291" name="Reshape_905_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="33097504" size="1024" />
+		<layer id="291" name="Reshape_2802_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="33097504" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -5385,10 +5846,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="292" name="Reshape_905" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="292" name="Reshape_2802" 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">
@@ -5408,7 +5869,10 @@
 			</output>
 		</layer>
 		<layer id="293" name="/encoder/down_blocks.3/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="/encoder/down_blocks.3/resnets.0/conv1/Conv, Concat_2801, Reshape_2802"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5433,9 +5897,9 @@
 			</output>
 		</layer>
 		<layer id="294" name="/encoder/down_blocks.3/resnets.0/norm2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9216" size="24" />
+			<data element_type="i64" shape="3" offset="9216" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.3/resnets.0/norm2/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/encoder/down_blocks.3/resnets.0/norm2/Constant_output_0">
@@ -5444,7 +5908,10 @@
 			</output>
 		</layer>
 		<layer id="295" name="/encoder/down_blocks.3/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="/encoder/down_blocks.3/resnets.0/norm2/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5464,16 +5931,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="296" name="Constant_911" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9240" size="8" />
+		<layer id="296" name="Constant_2839" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9240" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_2839"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="297" name="MVN_912" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="297" name="MVN_2840" 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="/encoder/down_blocks.3/resnets.0/norm2/InstanceNormalization, Concat_2859, Concat_2904, MVN_2840, Multiply_2887, Reshape_2860, Reshape_2905"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5493,7 +5966,10 @@
 			</output>
 		</layer>
 		<layer id="298" name="/encoder/down_blocks.3/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="/encoder/down_blocks.3/resnets.0/norm2/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5509,7 +5985,10 @@
 			</output>
 		</layer>
 		<layer id="299" name="/encoder/down_blocks.3/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="/encoder/down_blocks.3/resnets.0/norm2/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5529,8 +6008,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="300" name="Constant_7752_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="33098528" size="1024" />
+		<layer id="300" name="Constant_19209_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="33098528" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -5540,10 +6019,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="301" name="Constant_7752" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="301" name="Constant_19209" 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">
@@ -5563,7 +6042,10 @@
 			</output>
 		</layer>
 		<layer id="302" name="/encoder/down_blocks.3/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="/encoder/down_blocks.3/resnets.0/norm2/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5587,8 +6069,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="303" name="Constant_7753_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="33099552" size="1024" />
+		<layer id="303" name="Constant_19210_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="33099552" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -5598,10 +6080,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="304" name="Constant_7753" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="304" name="Constant_19210" 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">
@@ -5621,7 +6103,10 @@
 			</output>
 		</layer>
 		<layer id="305" name="/encoder/down_blocks.3/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="/encoder/down_blocks.3/resnets.0/norm2/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5646,6 +6131,9 @@
 			</output>
 		</layer>
 		<layer id="306" name="/encoder/down_blocks.3/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.3/resnets.0/nonlinearity_1/Mul, /encoder/down_blocks.3/resnets.0/nonlinearity_1/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5664,7 +6152,7 @@
 			</output>
 		</layer>
 		<layer id="307" name="vae.encoder.down_blocks.3.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="33100576" size="4718592" />
+			<data element_type="f16" shape="512, 512, 3, 3" offset="33100576" size="4718592"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -5675,9 +6163,10 @@
 			</output>
 		</layer>
 		<layer id="308" name="vae.encoder.down_blocks.3.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.encoder.down_blocks.3.resnets.0.conv2.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -5697,7 +6186,10 @@
 			</output>
 		</layer>
 		<layer id="309" name="/encoder/down_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" />
+			<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="/encoder/down_blocks.3/resnets.0/conv2/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5721,8 +6213,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="310" name="Reshape_952_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="37819168" size="1024" />
+		<layer id="310" name="Reshape_2964_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="37819168" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -5732,10 +6224,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="311" name="Reshape_952" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="311" name="Reshape_2964" 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">
@@ -5755,7 +6247,10 @@
 			</output>
 		</layer>
 		<layer id="312" name="/encoder/down_blocks.3/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="/encoder/down_blocks.3/resnets.0/conv2/Conv, Concat_2963, Reshape_2964"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5780,7 +6275,10 @@
 			</output>
 		</layer>
 		<layer id="313" name="/encoder/down_blocks.3/resnets.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.3/resnets.0/Add, /encoder/down_blocks.3/resnets.0/Div"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5805,9 +6303,9 @@
 			</output>
 		</layer>
 		<layer id="314" name="/encoder/down_blocks.3/resnets.1/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9216" size="24" />
+			<data element_type="i64" shape="3" offset="9216" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.3/resnets.1/norm1/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/encoder/down_blocks.3/resnets.1/norm1/Constant_output_0">
@@ -5816,7 +6314,10 @@
 			</output>
 		</layer>
 		<layer id="315" name="/encoder/down_blocks.3/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.3/resnets.1/norm1/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5836,16 +6337,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="316" name="Constant_961" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9240" size="8" />
+		<layer id="316" name="Constant_3004" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9240" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_3004"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="317" name="MVN_962" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="317" name="MVN_3005" 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="/encoder/down_blocks.3/resnets.1/norm1/InstanceNormalization, Concat_3024, Concat_3069, MVN_3005, Multiply_3052, Reshape_3025, Reshape_3070"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5865,7 +6372,10 @@
 			</output>
 		</layer>
 		<layer id="318" name="/encoder/down_blocks.3/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.3/resnets.1/norm1/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5881,7 +6391,10 @@
 			</output>
 		</layer>
 		<layer id="319" name="/encoder/down_blocks.3/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.3/resnets.1/norm1/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5901,8 +6414,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="320" name="Constant_7754_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="37820192" size="1024" />
+		<layer id="320" name="Constant_19211_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="37820192" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -5912,10 +6425,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="321" name="Constant_7754" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="321" name="Constant_19211" 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">
@@ -5935,7 +6448,10 @@
 			</output>
 		</layer>
 		<layer id="322" name="/encoder/down_blocks.3/resnets.1/norm1/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.3/resnets.1/norm1/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5959,8 +6475,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="323" name="Constant_7755_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="37821216" size="1024" />
+		<layer id="323" name="Constant_19212_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="37821216" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -5970,10 +6486,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="324" name="Constant_7755" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="324" name="Constant_19212" 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">
@@ -5993,7 +6509,10 @@
 			</output>
 		</layer>
 		<layer id="325" name="/encoder/down_blocks.3/resnets.1/norm1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.3/resnets.1/norm1/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6018,6 +6537,9 @@
 			</output>
 		</layer>
 		<layer id="326" name="/encoder/down_blocks.3/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.3/resnets.1/nonlinearity/Mul, /encoder/down_blocks.3/resnets.1/nonlinearity/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6036,7 +6558,7 @@
 			</output>
 		</layer>
 		<layer id="327" name="vae.encoder.down_blocks.3.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="37822240" size="4718592" />
+			<data element_type="f16" shape="512, 512, 3, 3" offset="37822240" size="4718592"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -6047,9 +6569,10 @@
 			</output>
 		</layer>
 		<layer id="328" name="vae.encoder.down_blocks.3.resnets.1.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.encoder.down_blocks.3.resnets.1.conv1.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -6069,7 +6592,10 @@
 			</output>
 		</layer>
 		<layer id="329" name="/encoder/down_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" />
+			<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="/encoder/down_blocks.3/resnets.1/conv1/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6093,8 +6619,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="330" name="Reshape_1002_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="42540832" size="1024" />
+		<layer id="330" name="Reshape_3129_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="42540832" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -6104,10 +6630,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="331" name="Reshape_1002" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="331" name="Reshape_3129" 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">
@@ -6127,7 +6653,10 @@
 			</output>
 		</layer>
 		<layer id="332" name="/encoder/down_blocks.3/resnets.1/conv1/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.3/resnets.1/conv1/Conv, Concat_3128, Reshape_3129"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6152,9 +6681,9 @@
 			</output>
 		</layer>
 		<layer id="333" name="/encoder/down_blocks.3/resnets.1/norm2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9216" size="24" />
+			<data element_type="i64" shape="3" offset="9216" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.3/resnets.1/norm2/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/encoder/down_blocks.3/resnets.1/norm2/Constant_output_0">
@@ -6163,7 +6692,10 @@
 			</output>
 		</layer>
 		<layer id="334" name="/encoder/down_blocks.3/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.3/resnets.1/norm2/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6183,16 +6715,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="335" name="Constant_1008" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9240" size="8" />
+		<layer id="335" name="Constant_3166" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9240" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_3166"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="336" name="MVN_1009" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="336" name="MVN_3167" 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="/encoder/down_blocks.3/resnets.1/norm2/InstanceNormalization, Concat_3186, Concat_3231, MVN_3167, Multiply_3214, Reshape_3187, Reshape_3232"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6212,7 +6750,10 @@
 			</output>
 		</layer>
 		<layer id="337" name="/encoder/down_blocks.3/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.3/resnets.1/norm2/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6228,7 +6769,10 @@
 			</output>
 		</layer>
 		<layer id="338" name="/encoder/down_blocks.3/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.3/resnets.1/norm2/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6248,8 +6792,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="339" name="Constant_7756_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="42541856" size="1024" />
+		<layer id="339" name="Constant_19213_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="42541856" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -6259,10 +6803,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="340" name="Constant_7756" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="340" name="Constant_19213" 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">
@@ -6282,7 +6826,10 @@
 			</output>
 		</layer>
 		<layer id="341" name="/encoder/down_blocks.3/resnets.1/norm2/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.3/resnets.1/norm2/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6306,8 +6853,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="342" name="Constant_7757_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="42542880" size="1024" />
+		<layer id="342" name="Constant_19214_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="42542880" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -6317,10 +6864,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="343" name="Constant_7757" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="343" name="Constant_19214" 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">
@@ -6340,7 +6887,10 @@
 			</output>
 		</layer>
 		<layer id="344" name="/encoder/down_blocks.3/resnets.1/norm2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.3/resnets.1/norm2/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6365,6 +6915,9 @@
 			</output>
 		</layer>
 		<layer id="345" name="/encoder/down_blocks.3/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.3/resnets.1/nonlinearity_1/Mul, /encoder/down_blocks.3/resnets.1/nonlinearity_1/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6383,7 +6936,7 @@
 			</output>
 		</layer>
 		<layer id="346" name="vae.encoder.down_blocks.3.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="42543904" size="4718592" />
+			<data element_type="f16" shape="512, 512, 3, 3" offset="42543904" size="4718592"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -6394,9 +6947,10 @@
 			</output>
 		</layer>
 		<layer id="347" name="vae.encoder.down_blocks.3.resnets.1.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.encoder.down_blocks.3.resnets.1.conv2.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -6416,7 +6970,10 @@
 			</output>
 		</layer>
 		<layer id="348" name="/encoder/down_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" />
+			<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="/encoder/down_blocks.3/resnets.1/conv2/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6440,8 +6997,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="349" name="Reshape_1049_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="47262496" size="1024" />
+		<layer id="349" name="Reshape_3291_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="47262496" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -6451,10 +7008,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="350" name="Reshape_1049" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="350" name="Reshape_3291" 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">
@@ -6474,7 +7031,10 @@
 			</output>
 		</layer>
 		<layer id="351" name="/encoder/down_blocks.3/resnets.1/conv2/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.3/resnets.1/conv2/Conv, Concat_3290, Reshape_3291"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6499,7 +7059,10 @@
 			</output>
 		</layer>
 		<layer id="352" name="/encoder/down_blocks.3/resnets.1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/down_blocks.3/resnets.1/Add, /encoder/down_blocks.3/resnets.1/Div"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6524,9 +7087,9 @@
 			</output>
 		</layer>
 		<layer id="353" name="/encoder/mid_block/resnets.0/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9216" size="24" />
+			<data element_type="i64" shape="3" offset="9216" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/resnets.0/norm1/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/encoder/mid_block/resnets.0/norm1/Constant_output_0">
@@ -6535,7 +7098,10 @@
 			</output>
 		</layer>
 		<layer id="354" name="/encoder/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="/encoder/mid_block/resnets.0/norm1/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6555,16 +7121,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="355" name="Constant_1058" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9240" size="8" />
+		<layer id="355" name="Constant_3331" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9240" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_3331"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="356" name="MVN_1059" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="356" name="MVN_3332" 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="/encoder/mid_block/resnets.0/norm1/InstanceNormalization, Concat_3351, Concat_3396, MVN_3332, Multiply_3379, Reshape_3352, Reshape_3397"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6584,7 +7156,10 @@
 			</output>
 		</layer>
 		<layer id="357" name="/encoder/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="/encoder/mid_block/resnets.0/norm1/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6600,7 +7175,10 @@
 			</output>
 		</layer>
 		<layer id="358" name="/encoder/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="/encoder/mid_block/resnets.0/norm1/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6620,8 +7198,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="359" name="Constant_7758_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="47263520" size="1024" />
+		<layer id="359" name="Constant_19215_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="47263520" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -6631,10 +7209,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="360" name="Constant_7758" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="360" name="Constant_19215" 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">
@@ -6654,7 +7232,10 @@
 			</output>
 		</layer>
 		<layer id="361" name="/encoder/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="/encoder/mid_block/resnets.0/norm1/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6678,8 +7259,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="362" name="Constant_7759_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="47264544" size="1024" />
+		<layer id="362" name="Constant_19216_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="47264544" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -6689,10 +7270,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="363" name="Constant_7759" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="363" name="Constant_19216" 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">
@@ -6712,7 +7293,10 @@
 			</output>
 		</layer>
 		<layer id="364" name="/encoder/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="/encoder/mid_block/resnets.0/norm1/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6737,6 +7321,9 @@
 			</output>
 		</layer>
 		<layer id="365" name="/encoder/mid_block/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/resnets.0/nonlinearity/Mul, /encoder/mid_block/resnets.0/nonlinearity/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6755,7 +7342,7 @@
 			</output>
 		</layer>
 		<layer id="366" name="vae.encoder.mid_block.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="47265568" size="4718592" />
+			<data element_type="f16" shape="512, 512, 3, 3" offset="47265568" size="4718592"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -6766,9 +7353,10 @@
 			</output>
 		</layer>
 		<layer id="367" name="vae.encoder.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.encoder.mid_block.resnets.0.conv1.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -6788,7 +7376,10 @@
 			</output>
 		</layer>
 		<layer id="368" name="/encoder/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="/encoder/mid_block/resnets.0/conv1/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6812,8 +7403,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="369" name="Reshape_1099_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="51984160" size="1024" />
+		<layer id="369" name="Reshape_3456_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="51984160" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -6823,10 +7414,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="370" name="Reshape_1099" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="370" name="Reshape_3456" 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">
@@ -6846,7 +7437,10 @@
 			</output>
 		</layer>
 		<layer id="371" name="/encoder/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="/encoder/mid_block/resnets.0/conv1/Conv, Concat_3455, Reshape_3456"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6871,9 +7465,9 @@
 			</output>
 		</layer>
 		<layer id="372" name="/encoder/mid_block/resnets.0/norm2/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9216" size="24" />
+			<data element_type="i64" shape="3" offset="9216" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/resnets.0/norm2/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/encoder/mid_block/resnets.0/norm2/Constant_output_0">
@@ -6882,7 +7476,10 @@
 			</output>
 		</layer>
 		<layer id="373" name="/encoder/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="/encoder/mid_block/resnets.0/norm2/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6902,16 +7499,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="374" name="Constant_1105" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9240" size="8" />
+		<layer id="374" name="Constant_3493" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9240" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_3493"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="375" name="MVN_1106" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="375" name="MVN_3494" 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="/encoder/mid_block/resnets.0/norm2/InstanceNormalization, Concat_3513, Concat_3558, MVN_3494, Multiply_3541, Reshape_3514, Reshape_3559"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6931,7 +7534,10 @@
 			</output>
 		</layer>
 		<layer id="376" name="/encoder/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="/encoder/mid_block/resnets.0/norm2/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6947,7 +7553,10 @@
 			</output>
 		</layer>
 		<layer id="377" name="/encoder/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="/encoder/mid_block/resnets.0/norm2/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6967,8 +7576,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="378" name="Constant_7760_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="51985184" size="1024" />
+		<layer id="378" name="Constant_19217_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="51985184" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -6978,10 +7587,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="379" name="Constant_7760" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="379" name="Constant_19217" 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">
@@ -7001,7 +7610,10 @@
 			</output>
 		</layer>
 		<layer id="380" name="/encoder/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="/encoder/mid_block/resnets.0/norm2/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7025,8 +7637,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="381" name="Constant_7761_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="51986208" size="1024" />
+		<layer id="381" name="Constant_19218_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="51986208" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -7036,10 +7648,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="382" name="Constant_7761" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="382" name="Constant_19218" 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">
@@ -7059,7 +7671,10 @@
 			</output>
 		</layer>
 		<layer id="383" name="/encoder/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="/encoder/mid_block/resnets.0/norm2/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7084,6 +7699,9 @@
 			</output>
 		</layer>
 		<layer id="384" name="/encoder/mid_block/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/resnets.0/nonlinearity_1/Mul, /encoder/mid_block/resnets.0/nonlinearity_1/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7102,7 +7720,7 @@
 			</output>
 		</layer>
 		<layer id="385" name="vae.encoder.mid_block.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="51987232" size="4718592" />
+			<data element_type="f16" shape="512, 512, 3, 3" offset="51987232" size="4718592"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -7113,9 +7731,10 @@
 			</output>
 		</layer>
 		<layer id="386" name="vae.encoder.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.encoder.mid_block.resnets.0.conv2.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -7135,7 +7754,10 @@
 			</output>
 		</layer>
 		<layer id="387" name="/encoder/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="/encoder/mid_block/resnets.0/conv2/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7159,8 +7781,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="388" name="Reshape_1146_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="56705824" size="1024" />
+		<layer id="388" name="Reshape_3618_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="56705824" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -7170,10 +7792,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="389" name="Reshape_1146" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="389" name="Reshape_3618" 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">
@@ -7193,7 +7815,10 @@
 			</output>
 		</layer>
 		<layer id="390" name="/encoder/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="/encoder/mid_block/resnets.0/conv2/Conv, Concat_3617, Reshape_3618"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7218,7 +7843,10 @@
 			</output>
 		</layer>
 		<layer id="391" name="/encoder/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="/encoder/mid_block/resnets.0/Add, /encoder/mid_block/resnets.0/Div"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7242,11 +7870,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="392" name="Constant_6724" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="56706848" size="16" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="392" name="Constant_16941" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="56706848" size="16"/>
 			<output>
 				<port id="0" precision="I64">
 					<dim>2</dim>
@@ -7254,7 +7879,10 @@
 			</output>
 		</layer>
 		<layer id="393" name="/encoder/mid_block/attentions.0/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Shape, /encoder/mid_block/attentions.0/Shape_1, /encoder/mid_block/attentions.0/Shape_2, /encoder/mid_block/attentions.0/Shape_3"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7269,98 +7897,119 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="394" name="Constant_6405" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9240" size="8" />
+		<layer id="394" name="/encoder/mid_block/attentions.0/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="9240" size="8"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Constant_2"/>
 			</rt_info>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I64" names="/encoder/mid_block/attentions.0/Constant_2_output_0"/>
 			</output>
 		</layer>
-		<layer id="395" name="Constant_1161" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="56706864" size="8" />
+		<layer id="395" name="Constant_3659" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="56706864" size="8"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="Constant_3659"/>
 			</rt_info>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64"/>
 			</output>
 		</layer>
 		<layer id="396" name="/encoder/mid_block/attentions.0/Gather_2" type="Gather" version="opset8">
-			<data batch_dims="0" />
+			<data batch_dims="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Constant_2, /encoder/mid_block/attentions.0/Gather_2, Constant_3659"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64" />
+				<port id="1" precision="I64"/>
+				<port id="2" precision="I64"/>
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/encoder/mid_block/attentions.0/Gather_2_output_0,/encoder/mid_block/attentions.0/Unsqueeze_13_output_0">
-					<dim>1</dim>
-				</port>
+				<port id="3" precision="I64" names="/encoder/mid_block/attentions.0/Gather_2_output_0"/>
 			</output>
 		</layer>
-		<layer id="397" name="Constant_6408" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="56706872" size="8" />
+		<layer id="397" name="/encoder/mid_block/attentions.0/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="56706872" size="8"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Constant_3"/>
 			</rt_info>
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I64" names="/encoder/mid_block/attentions.0/Constant_3_output_0"/>
 			</output>
 		</layer>
-		<layer id="398" name="Constant_1165" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="56706864" size="8" />
+		<layer id="398" name="Constant_3663" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="56706864" size="8"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="Constant_3663"/>
 			</rt_info>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64"/>
 			</output>
 		</layer>
 		<layer id="399" name="/encoder/mid_block/attentions.0/Gather_3" type="Gather" version="opset8">
-			<data batch_dims="0" />
+			<data batch_dims="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Constant_3, /encoder/mid_block/attentions.0/Gather_3, Constant_3663"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="I64" />
+				<port id="1" precision="I64"/>
+				<port id="2" precision="I64"/>
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/encoder/mid_block/attentions.0/Gather_3_output_0,/encoder/mid_block/attentions.0/Unsqueeze_14_output_0">
-					<dim>1</dim>
-				</port>
+				<port id="3" precision="I64" names="/encoder/mid_block/attentions.0/Gather_3_output_0"/>
 			</output>
 		</layer>
 		<layer id="400" name="/encoder/mid_block/attentions.0/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Mul"/>
+			</rt_info>
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="I64"/>
+				<port id="1" precision="I64"/>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/encoder/mid_block/attentions.0/Mul_output_0"/>
+			</output>
+		</layer>
+		<layer id="401" name="Constant_317" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="56706864" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_317"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="onnx::Unsqueeze_659">
 					<dim>1</dim>
 				</port>
+			</output>
+		</layer>
+		<layer id="402" name="/encoder/mid_block/attentions.0/Unsqueeze_2" type="Unsqueeze" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Unsqueeze_2, Constant_317"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I64"/>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/encoder/mid_block/attentions.0/Mul_output_0,/encoder/mid_block/attentions.0/Unsqueeze_2_output_0">
+				<port id="2" precision="I64" names="/encoder/mid_block/attentions.0/Unsqueeze_2_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="401" name="/encoder/mid_block/attentions.0/Concat" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="403" name="/encoder/mid_block/attentions.0/Concat" type="Concat" version="opset1">
+			<data axis="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Concat"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="I64">
 					<dim>2</dim>
@@ -7375,8 +8024,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="402" name="/encoder/mid_block/attentions.0/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="404" name="/encoder/mid_block/attentions.0/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7396,10 +8048,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="403" name="/encoder/mid_block/attentions.0/group_norm/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9216" size="24" />
+		<layer id="405" name="/encoder/mid_block/attentions.0/group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="9216" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/group_norm/Constant"/>
 			</rt_info>
 			<output>
 				<port id="0" precision="I64" names="/encoder/mid_block/attentions.0/group_norm/Constant_output_0">
@@ -7407,8 +8059,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="404" name="/encoder/mid_block/attentions.0/group_norm/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="406" name="/encoder/mid_block/attentions.0/group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/group_norm/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7427,16 +8082,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="405" name="Constant_1186" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9240" size="8" />
+		<layer id="407" name="Constant_3763" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9240" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_3763"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="406" name="MVN_1187" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="408" name="MVN_3764" 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="/encoder/mid_block/attentions.0/group_norm/InstanceNormalization, Concat_3783, Concat_3828, MVN_3764, Multiply_3811, Reshape_3784, Reshape_3829"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7455,8 +8116,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="407" name="/encoder/mid_block/attentions.0/group_norm/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="409" name="/encoder/mid_block/attentions.0/group_norm/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/group_norm/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7470,8 +8134,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="408" name="/encoder/mid_block/attentions.0/group_norm/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="410" name="/encoder/mid_block/attentions.0/group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/group_norm/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7490,8 +8157,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="409" name="Constant_7762_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1" offset="56706880" size="1024" />
+		<layer id="411" name="Constant_19219_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1" offset="56706880" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -7500,10 +8167,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="410" name="Constant_7762" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="412" name="Constant_19219" 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">
@@ -7520,8 +8187,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="411" name="/encoder/mid_block/attentions.0/group_norm/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="413" name="/encoder/mid_block/attentions.0/group_norm/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/group_norm/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7542,8 +8212,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="412" name="Constant_7763_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1" offset="56707904" size="1024" />
+		<layer id="414" name="Constant_19220_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1" offset="56707904" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -7552,10 +8222,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="413" name="Constant_7763" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="415" name="Constant_19220" 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">
@@ -7572,8 +8242,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="414" name="/encoder/mid_block/attentions.0/group_norm/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="416" name="/encoder/mid_block/attentions.0/group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/group_norm/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7594,8 +8267,41 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="415" name="Transpose_7621_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512" offset="56708928" size="524288" />
+		<layer id="417" name="Constant_3866" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="56708928" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_3866"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="418" name="/encoder/mid_block/attentions.0/Transpose_1" type="Transpose" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Transpose_1"/>
+			</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="/encoder/mid_block/attentions.0/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="419" name="Constant_19069_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512" offset="56708952" size="524288"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -7603,10 +8309,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="416" name="Transpose_7621" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="420" name="Constant_19069" 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="/encoder/mid_block/attentions.0/to_q/MatMul, onnx::MatMul_969"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -7621,13 +8328,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="417" name="/encoder/mid_block/attentions.0/to_q/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="true" transpose_b="true" />
+		<layer id="421" name="/encoder/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="/encoder/mid_block/attentions.0/to_q/MatMul, onnx::MatMul_969"/>
+			</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>
@@ -7642,8 +8352,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="418" name="/encoder/mid_block/attentions.0/to_q/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="422" name="/encoder/mid_block/attentions.0/to_q/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/to_q/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7664,35 +8377,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="419" name="Constant_1176" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="57233216" size="24" />
+		<layer id="423" name="Constant_17163" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="56706848" size="16"/>
 			<output>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="420" name="/encoder/mid_block/attentions.0/Transpose" type="Transpose" version="opset1">
-			<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>
+		<layer id="424" name="/encoder/mid_block/attentions.0/Constant_9" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="57233240" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Constant_9"/>
+			</rt_info>
 			<output>
-				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Transpose_output_0">
+				<port id="0" precision="I64" names="/encoder/mid_block/attentions.0/Constant_9_output_0">
 					<dim>1</dim>
-					<dim>4096</dim>
-					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="421" name="/encoder/mid_block/attentions.0/Shape_4" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="425" name="/encoder/mid_block/attentions.0/Shape_5" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Shape_5, /encoder/mid_block/attentions.0/Shape_6, /encoder/mid_block/attentions.0/Shape_7"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7701,72 +8409,260 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/encoder/mid_block/attentions.0/Shape_4_output_0">
+				<port id="1" precision="I64" names="/encoder/mid_block/attentions.0/Shape_5_output_0,/encoder/mid_block/attentions.0/Shape_6_output_0,/encoder/mid_block/attentions.0/Shape_7_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="422" name="Constant_6411" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="56706864" size="8" />
+		<layer id="426" name="/encoder/mid_block/attentions.0/Constant_7" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="9240" size="8"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Constant_7"/>
 			</rt_info>
 			<output>
+				<port id="0" precision="I64" names="/encoder/mid_block/attentions.0/Constant_7_output_0"/>
+			</output>
+		</layer>
+		<layer id="427" name="Constant_3884" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="56706864" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_3884"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64"/>
+			</output>
+		</layer>
+		<layer id="428" name="/encoder/mid_block/attentions.0/Gather_7" type="Gather" version="opset8">
+			<data batch_dims="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Cast, /encoder/mid_block/attentions.0/Cast_1, /encoder/mid_block/attentions.0/Constant_7, /encoder/mid_block/attentions.0/Constant_8, /encoder/mid_block/attentions.0/Div, /encoder/mid_block/attentions.0/Gather_7, Constant_3884"/>
+			</rt_info>
+			<input>
 				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64"/>
+				<port id="2" precision="I64"/>
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/encoder/mid_block/attentions.0/Cast_1_output_0,/encoder/mid_block/attentions.0/Cast_output_0,/encoder/mid_block/attentions.0/Div_output_0,/encoder/mid_block/attentions.0/Gather_7_output_0"/>
+			</output>
+		</layer>
+		<layer id="429" name="Constant_359" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="56706864" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_359"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="onnx::Unsqueeze_709">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="423" name="Constant_1180" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="56706864" size="8" />
+		<layer id="430" name="/encoder/mid_block/attentions.0/Unsqueeze_5" type="Unsqueeze" version="opset1">
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Unsqueeze_5, Constant_359"/>
 			</rt_info>
+			<input>
+				<port id="0" precision="I64"/>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="2" precision="I64" names="/encoder/mid_block/attentions.0/Unsqueeze_5_output_0">
+					<dim>1</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="424" name="/encoder/mid_block/attentions.0/Gather_4" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="431" name="/encoder/mid_block/attentions.0/Concat_1" type="Concat" version="opset1">
+			<data axis="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Concat_1, /encoder/mid_block/attentions.0/Constant_9"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="I64">
-					<dim>3</dim>
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="432" name="/encoder/mid_block/attentions.0/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Reshape_1"/>
+			</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="/encoder/mid_block/attentions.0/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="433" name="Constant_19071" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="57233248" size="32"/>
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="434" name="/encoder/mid_block/attentions.0/Transpose_2" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Transpose_2"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1</dim>
+					<dim>512</dim>
 				</port>
 				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Transpose_2_output_0">
 					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="435" name="Constant_15239" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="57233280" size="16"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Concat_2"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="436" name="Constant_15240" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="56706864" size="8"/>
+			<output>
+				<port id="0" precision="I64"/>
+			</output>
+		</layer>
+		<layer id="437" name="Gather_15241" type="Gather" version="opset8">
+			<data batch_dims="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Concat_2"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
 				</port>
-				<port id="2" precision="I64" />
+				<port id="2" precision="I64"/>
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/encoder/mid_block/attentions.0/Gather_4_output_0,/encoder/mid_block/attentions.0/Unsqueeze_11_output_0,/encoder/mid_block/attentions.0/Unsqueeze_3_output_0,/encoder/mid_block/attentions.0/Unsqueeze_5_output_0,/encoder/mid_block/attentions.0/Unsqueeze_7_output_0,/encoder/mid_block/attentions.0/Unsqueeze_9_output_0">
+				<port id="3" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="438" name="Constant_368" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="56706864" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_368"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="onnx::Unsqueeze_718">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="425" name="/encoder/mid_block/attentions.0/Constant_7" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="57233240" size="8" />
+		<layer id="439" name="/encoder/mid_block/attentions.0/Unsqueeze_8" type="Unsqueeze" version="opset1">
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Unsqueeze_8, Constant_368"/>
 			</rt_info>
+			<input>
+				<port id="0" precision="I64"/>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" names="/encoder/mid_block/attentions.0/Constant_7_output_0">
+				<port id="2" precision="I64" names="/encoder/mid_block/attentions.0/Unsqueeze_8_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="440" name="/encoder/mid_block/attentions.0/Concat_2" type="Concat" version="opset1">
+			<data axis="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Concat_2"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/encoder/mid_block/attentions.0/Concat_2_output_0">
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="426" name="/encoder/mid_block/attentions.0/Constant_8" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="57233248" size="8" />
+		<layer id="441" name="/encoder/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="/encoder/mid_block/attentions.0/Reshape_2"/>
 			</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="0" precision="I64" names="/encoder/mid_block/attentions.0/Constant_8_output_0">
+				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Reshape_2_output_0">
 					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="427" name="Constant_7765_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 512" offset="57233256" size="1024" />
+		<layer id="442" name="Constant_19222_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 512" offset="57233296" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -7775,10 +8671,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="428" name="Constant_7765" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="443" name="Constant_19222" 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">
@@ -7795,8 +8691,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="429" name="Transpose_7624_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512" offset="57234280" size="524288" />
+		<layer id="444" name="Constant_19083_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512" offset="57234320" size="524288"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -7804,10 +8700,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="430" name="Transpose_7624" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="445" name="Constant_19083" 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="/encoder/mid_block/attentions.0/to_k/MatMul, onnx::MatMul_970"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -7822,13 +8719,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="431" name="/encoder/mid_block/attentions.0/to_k/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="true" transpose_b="true" />
+		<layer id="446" name="/encoder/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="/encoder/mid_block/attentions.0/to_k/MatMul, onnx::MatMul_970"/>
+			</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>
@@ -7843,8 +8743,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="432" name="/encoder/mid_block/attentions.0/to_k/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="447" name="/encoder/mid_block/attentions.0/to_k/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/to_k/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7865,8 +8768,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="433" name="/encoder/mid_block/attentions.0/Shape_5" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="448" name="Constant_17264" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="56706848" size="16"/>
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="449" name="/encoder/mid_block/attentions.0/Constant_14" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="57233240" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Constant_14"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/encoder/mid_block/attentions.0/Constant_14_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="450" name="/encoder/mid_block/attentions.0/Shape_8" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Shape_10, /encoder/mid_block/attentions.0/Shape_8, /encoder/mid_block/attentions.0/Shape_9"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7875,71 +8800,80 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/encoder/mid_block/attentions.0/Shape_5_output_0">
+				<port id="1" precision="I64" names="/encoder/mid_block/attentions.0/Shape_10_output_0,/encoder/mid_block/attentions.0/Shape_8_output_0,/encoder/mid_block/attentions.0/Shape_9_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="434" name="/encoder/mid_block/attentions.0/Constant_5" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="9240" size="8" />
+		<layer id="451" name="/encoder/mid_block/attentions.0/Constant_12" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="9240" size="8"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Constant_12"/>
 			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/encoder/mid_block/attentions.0/Constant_5_output_0" />
+				<port id="0" precision="I64" names="/encoder/mid_block/attentions.0/Constant_12_output_0"/>
 			</output>
 		</layer>
-		<layer id="435" name="Constant_1224" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="56706864" size="8" />
+		<layer id="452" name="Constant_4114" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="56706864" size="8"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="Constant_4114"/>
 			</rt_info>
 			<output>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64"/>
 			</output>
 		</layer>
-		<layer id="436" name="/encoder/mid_block/attentions.0/Gather_5" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="453" name="/encoder/mid_block/attentions.0/Gather_10" type="Gather" version="opset8">
+			<data batch_dims="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Cast_2, /encoder/mid_block/attentions.0/Cast_3, /encoder/mid_block/attentions.0/Constant_12, /encoder/mid_block/attentions.0/Constant_13, /encoder/mid_block/attentions.0/Div_1, /encoder/mid_block/attentions.0/Gather_10, Constant_4114"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
-				<port id="1" precision="I64" />
-				<port id="2" precision="I64" />
+				<port id="1" precision="I64"/>
+				<port id="2" precision="I64"/>
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/encoder/mid_block/attentions.0/Cast_1_output_0,/encoder/mid_block/attentions.0/Cast_output_0,/encoder/mid_block/attentions.0/Div_output_0,/encoder/mid_block/attentions.0/Gather_5_output_0" />
+				<port id="3" precision="I64" names="/encoder/mid_block/attentions.0/Cast_2_output_0,/encoder/mid_block/attentions.0/Cast_3_output_0,/encoder/mid_block/attentions.0/Div_1_output_0,/encoder/mid_block/attentions.0/Gather_10_output_0"/>
 			</output>
 		</layer>
-		<layer id="437" name="Constant_352" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="56706864" size="8" />
+		<layer id="454" name="Constant_390" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="56706864" size="8"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="Constant_390"/>
 			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="onnx::Unsqueeze_703">
+				<port id="0" precision="I64" names="onnx::Unsqueeze_741">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="438" name="/encoder/mid_block/attentions.0/Unsqueeze_4" type="Unsqueeze" version="opset1">
+		<layer id="455" name="/encoder/mid_block/attentions.0/Unsqueeze_11" type="Unsqueeze" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Unsqueeze_11, Constant_390"/>
+			</rt_info>
 			<input>
-				<port id="0" precision="I64" />
+				<port id="0" precision="I64"/>
 				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/encoder/mid_block/attentions.0/Unsqueeze_10_output_0,/encoder/mid_block/attentions.0/Unsqueeze_4_output_0,/encoder/mid_block/attentions.0/Unsqueeze_6_output_0,/encoder/mid_block/attentions.0/Unsqueeze_8_output_0">
+				<port id="2" precision="I64" names="/encoder/mid_block/attentions.0/Unsqueeze_11_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="439" name="/encoder/mid_block/attentions.0/Concat_1" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="456" name="/encoder/mid_block/attentions.0/Concat_3" type="Concat" version="opset1">
+			<data axis="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Concat_3, /encoder/mid_block/attentions.0/Constant_14"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="I64">
-					<dim>1</dim>
+					<dim>2</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -7947,18 +8881,18 @@
 				<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="/encoder/mid_block/attentions.0/Concat_1_output_0,/encoder/mid_block/attentions.0/Concat_2_output_0,/encoder/mid_block/attentions.0/Concat_3_output_0">
+				<port id="3" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="440" name="/encoder/mid_block/attentions.0/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="457" name="/encoder/mid_block/attentions.0/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Reshape_3"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7970,7 +8904,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Reshape_3_output_0">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>1</dim>
@@ -7978,19 +8912,19 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="441" name="Constant_7626" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="57758568" size="32" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
+		<layer id="458" name="Constant_19085" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="57233248" size="32"/>
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="442" name="/encoder/mid_block/attentions.0/Transpose_2" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="459" name="/encoder/mid_block/attentions.0/Transpose_3" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Transpose_3"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8003,7 +8937,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Transpose_2_output_0">
+				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Transpose_3_output_0">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>4096</dim>
@@ -8011,306 +8945,498 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="443" name="/encoder/mid_block/attentions.0/Constant_15_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1" offset="57758600" size="2" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="444" name="/encoder/mid_block/attentions.0/Constant_15" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="460" name="Constant_15249" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="57233280" size="16"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Concat_4"/>
 			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-				</port>
-			</input>
 			<output>
-				<port id="1" precision="FP32" names="/encoder/mid_block/attentions.0/Constant_15_output_0">
-					<dim>1</dim>
+				<port id="0" precision="I64">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="445" name="/encoder/mid_block/attentions.0/Shape_6" 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>
+		<layer id="461" name="Constant_15250" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="56706864" size="8"/>
 			<output>
-				<port id="1" precision="I64" names="/encoder/mid_block/attentions.0/Shape_6_output_0">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64"/>
 			</output>
 		</layer>
-		<layer id="446" name="/encoder/mid_block/attentions.0/Constant_13" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="57233240" size="8" />
+		<layer id="462" name="Gather_15251" type="Gather" version="opset8">
+			<data batch_dims="0"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Concat_4"/>
 			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I64"/>
+			</input>
 			<output>
-				<port id="0" precision="I64" names="/encoder/mid_block/attentions.0/Constant_13_output_0">
-					<dim>1</dim>
+				<port id="3" precision="I64">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="447" name="/encoder/mid_block/attentions.0/Constant_14" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="57758602" size="8" />
+		<layer id="463" name="Constant_399" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="56706864" size="8"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="Constant_399"/>
 			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/encoder/mid_block/attentions.0/Constant_14_output_0">
+				<port id="0" precision="I64" names="onnx::Unsqueeze_750">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="448" name="Broadcast_1425" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="57233248" size="8" />
+		<layer id="464" name="/encoder/mid_block/attentions.0/Unsqueeze_14" type="Unsqueeze" version="opset1">
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Unsqueeze_14, Constant_399"/>
 			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="449" name="/encoder/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="0" precision="I64"/>
 				<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="/encoder/mid_block/attentions.0/Slice_output_0">
+				<port id="2" precision="I64" names="/encoder/mid_block/attentions.0/Unsqueeze_14_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="450" name="/encoder/mid_block/attentions.0/Cast_2" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="465" name="/encoder/mid_block/attentions.0/Concat_4" type="Concat" version="opset1">
+			<data axis="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Concat_4"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/encoder/mid_block/attentions.0/Cast_2_output_0">
-					<dim>1</dim>
+				<port id="2" precision="I64" names="/encoder/mid_block/attentions.0/Concat_4_output_0">
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="451" name="/encoder/mid_block/attentions.0/Sqrt" type="Sqrt" version="opset1">
+		<layer id="466" name="/encoder/mid_block/attentions.0/Reshape_4" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Reshape_4"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-				</port>
+					<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="/encoder/mid_block/attentions.0/Sqrt_output_0">
+				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Reshape_4_output_0">
 					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="467" name="Constant_4645" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="56708928" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_4645"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="452" name="/encoder/mid_block/attentions.0/Div_1" type="Divide" version="opset1">
-			<data auto_broadcast="numpy" m_pythondiv="true" />
+		<layer id="468" name="/encoder/mid_block/attentions.0/Transpose_5" type="Transpose" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Transpose_5"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
 				</port>
-				<port id="1" precision="FP32">
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Transpose_5_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="469" name="Constant_19223_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1" offset="57758608" size="2"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="470" name="Constant_19223" 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="2" precision="FP32" names="/encoder/mid_block/attentions.0/Div_1_output_0">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="453" name="/encoder/mid_block/attentions.0/Sqrt_1" type="Sqrt" version="opset1">
+		<layer id="471" name="Multiply_19116" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/MatMul, /encoder/mid_block/attentions.0/Mul_1, /encoder/mid_block/attentions.0/Transpose_5"/>
+			</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="1" precision="FP32" names="/encoder/mid_block/attentions.0/Sqrt_1_output_0">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
+					<dim>512</dim>
+					<dim>4096</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="454" name="/encoder/mid_block/attentions.0/Mul_1" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="472" name="/encoder/mid_block/attentions.0/Mul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/MatMul, /encoder/mid_block/attentions.0/Mul_1, /encoder/mid_block/attentions.0/Transpose_5"/>
+			</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>512</dim>
+					<dim>4096</dim>
 				</port>
 			</input>
 			<output>
 				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Mul_1_output_0">
-					<dim>1</dim>
 					<dim>1</dim>
 					<dim>4096</dim>
-					<dim>512</dim>
+					<dim>4096</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="455" name="/encoder/mid_block/attentions.0/Reshape_2" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="473" name="Constant_4584_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="" offset="57758610" size="2"/>
+			<output>
+				<port id="0" precision="FP16"/>
+			</output>
+		</layer>
+		<layer id="474" name="Constant_4584" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="Constant_4584"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16"/>
+			</input>
+			<output>
+				<port id="1" precision="FP32"/>
+			</output>
+		</layer>
+		<layer id="475" name="/encoder/mid_block/attentions.0/Shape_14" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Shape_14, /encoder/mid_block/attentions.0/Shape_15"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>512</dim>
 				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/encoder/mid_block/attentions.0/Shape_14_output_0,/encoder/mid_block/attentions.0/Shape_15_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="476" name="Constant_15254" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="57233280" size="16"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Concat_7"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="477" name="Constant_15255" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="56706864" size="8"/>
+			<output>
+				<port id="0" precision="I64"/>
+			</output>
+		</layer>
+		<layer id="478" name="Gather_15256" type="Gather" version="opset8">
+			<data batch_dims="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Concat_7"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>2</dim>
 				</port>
+				<port id="2" precision="I64"/>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Reshape_2_output_0">
+				<port id="3" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="479" name="/encoder/mid_block/attentions.0/Shape_16" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Shape_16"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
-					<dim>1</dim>
 					<dim>512</dim>
 				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/encoder/mid_block/attentions.0/Shape_16_output_0">
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="456" name="Constant_1435" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="57758610" size="32" />
+		<layer id="480" name="Constant_15118" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="57233240" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Constant_22, /encoder/mid_block/attentions.0/Gather_16, /encoder/mid_block/attentions.0/Unsqueeze_23, Constant_447, Constant_4574"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="457" name="/encoder/mid_block/attentions.0/Transpose_4" type="Transpose" version="opset1">
+		<layer id="481" name="Constant_4574" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="56706864" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_4574"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64"/>
+			</output>
+		</layer>
+		<layer id="482" name="/encoder/mid_block/attentions.0/Gather_16" type="Gather" version="opset8">
+			<data batch_dims="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Constant_22, /encoder/mid_block/attentions.0/Gather_16, /encoder/mid_block/attentions.0/Unsqueeze_23, Constant_447, Constant_4574"/>
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
 					<dim>1</dim>
-					<dim>4096</dim>
+				</port>
+				<port id="2" precision="I64"/>
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/encoder/mid_block/attentions.0/Unsqueeze_23_output_0">
 					<dim>1</dim>
-					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="483" name="/encoder/mid_block/attentions.0/Concat_7" type="Concat" version="opset1">
+			<data axis="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Concat_7"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<dim>2</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Transpose_4_output_0">
-					<dim>1</dim>
+				<port id="2" precision="I64" names="/encoder/mid_block/attentions.0/Concat_7_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="484" name="/encoder/mid_block/attentions.0/ConstantOfShape" type="Broadcast" version="opset3">
+			<data mode="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/ConstantOfShape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32"/>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/ConstantOfShape_output_0">
 					<dim>1</dim>
-					<dim>512</dim>
 					<dim>4096</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="485" name="Constant_19224_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1" offset="57758610" size="2"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="458" name="/encoder/mid_block/attentions.0/Sqrt_2" type="Sqrt" version="opset1">
+		<layer id="486" name="Constant_19224" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/encoder/mid_block/attentions.0/Sqrt_2_output_0">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="459" name="/encoder/mid_block/attentions.0/Mul_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="487" name="/encoder/mid_block/attentions.0/Mul_2" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Mul_2"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>1</dim>
-					<dim>512</dim>
+					<dim>4096</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="/encoder/mid_block/attentions.0/Mul_2_output_0">
 					<dim>1</dim>
-					<dim>1</dim>
-					<dim>512</dim>
+					<dim>4096</dim>
 					<dim>4096</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="460" name="/encoder/mid_block/attentions.0/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
+		<layer id="488" name="/encoder/mid_block/attentions.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Add, /encoder/mid_block/attentions.0/Cast_6"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
 					<dim>1</dim>
 					<dim>4096</dim>
-					<dim>512</dim>
+					<dim>4096</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
-					<dim>1</dim>
-					<dim>512</dim>
+					<dim>4096</dim>
 					<dim>4096</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/MatMul_output_0">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Add_output_0,/encoder/mid_block/attentions.0/Cast_6_output_0">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>4096</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="461" name="/encoder/mid_block/attentions.0/Softmax" type="SoftMax" version="opset8">
-			<data axis="-1" />
+		<layer id="489" name="/encoder/mid_block/attentions.0/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Cast_7, /encoder/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="/encoder/mid_block/attentions.0/Softmax_output_0">
-					<dim>1</dim>
+				<port id="1" precision="FP32" names="/encoder/mid_block/attentions.0/Cast_7_output_0,/encoder/mid_block/attentions.0/Softmax_output_0">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>4096</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="462" name="Constant_7766_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 512" offset="57758642" size="1024" />
+		<layer id="490" name="Constant_19225_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 512" offset="57758612" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -8319,10 +9445,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="463" name="Constant_7766" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="491" name="Constant_19225" 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">
@@ -8339,8 +9465,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="464" name="Transpose_7629_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512" offset="57759666" size="524288" />
+		<layer id="492" name="Constant_19097_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512" offset="57759636" size="524288"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>512</dim>
@@ -8348,10 +9474,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="465" name="Transpose_7629" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="493" name="Constant_19097" 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="/encoder/mid_block/attentions.0/to_v/MatMul, onnx::MatMul_971"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
@@ -8366,13 +9493,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="466" name="/encoder/mid_block/attentions.0/to_v/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="true" transpose_b="true" />
+		<layer id="494" name="/encoder/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="/encoder/mid_block/attentions.0/to_v/MatMul, onnx::MatMul_971"/>
+			</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>
@@ -8387,8 +9517,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="467" name="/encoder/mid_block/attentions.0/to_v/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="495" name="/encoder/mid_block/attentions.0/to_v/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/to_v/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8409,134 +9542,112 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="468" name="/encoder/mid_block/attentions.0/Reshape_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
-			<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>
+		<layer id="496" name="Constant_17365" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="56706848" size="16"/>
 			<output>
-				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Reshape_3_output_0">
-					<dim>1</dim>
-					<dim>4096</dim>
-					<dim>1</dim>
-					<dim>512</dim>
+				<port id="0" precision="I64">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="469" name="Constant_7631" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="57758568" size="32" />
+		<layer id="497" name="/encoder/mid_block/attentions.0/Constant_19" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="57233240" size="8"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Constant_19"/>
 			</rt_info>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="I64" names="/encoder/mid_block/attentions.0/Constant_19_output_0">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="470" name="/encoder/mid_block/attentions.0/Transpose_3" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="498" name="/encoder/mid_block/attentions.0/Shape_11" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Shape_11, /encoder/mid_block/attentions.0/Shape_12, /encoder/mid_block/attentions.0/Shape_13"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
-					<dim>1</dim>
 					<dim>512</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>4</dim>
-				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Transpose_3_output_0">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>4096</dim>
-					<dim>512</dim>
+				<port id="1" precision="I64" names="/encoder/mid_block/attentions.0/Shape_11_output_0,/encoder/mid_block/attentions.0/Shape_12_output_0,/encoder/mid_block/attentions.0/Shape_13_output_0">
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="471" name="/encoder/mid_block/attentions.0/MatMul_1" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>4096</dim>
-					<dim>4096</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>4096</dim>
-					<dim>512</dim>
-				</port>
-			</input>
+		<layer id="499" name="/encoder/mid_block/attentions.0/Constant_17" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="9240" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Constant_17"/>
+			</rt_info>
 			<output>
-				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/MatMul_1_output_0">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>4096</dim>
-					<dim>512</dim>
-				</port>
+				<port id="0" precision="I64" names="/encoder/mid_block/attentions.0/Constant_17_output_0"/>
 			</output>
 		</layer>
-		<layer id="472" name="Constant_7633" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="58283954" size="32" />
+		<layer id="500" name="Constant_4344" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="56706864" size="8"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="Constant_4344"/>
 			</rt_info>
 			<output>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64"/>
 			</output>
 		</layer>
-		<layer id="473" name="/encoder/mid_block/attentions.0/Transpose_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="501" name="/encoder/mid_block/attentions.0/Gather_13" type="Gather" version="opset8">
+			<data batch_dims="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Cast_4, /encoder/mid_block/attentions.0/Cast_5, /encoder/mid_block/attentions.0/Constant_17, /encoder/mid_block/attentions.0/Constant_18, /encoder/mid_block/attentions.0/Div_2, /encoder/mid_block/attentions.0/Gather_13, Constant_4344"/>
+			</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>4</dim>
+				<port id="0" precision="I64">
+					<dim>3</dim>
 				</port>
+				<port id="1" precision="I64"/>
+				<port id="2" precision="I64"/>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Transpose_5_output_0">
-					<dim>1</dim>
-					<dim>4096</dim>
+				<port id="3" precision="I64" names="/encoder/mid_block/attentions.0/Cast_4_output_0,/encoder/mid_block/attentions.0/Cast_5_output_0,/encoder/mid_block/attentions.0/Div_2_output_0,/encoder/mid_block/attentions.0/Gather_13_output_0"/>
+			</output>
+		</layer>
+		<layer id="502" name="Constant_421" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="56706864" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_421"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="onnx::Unsqueeze_773">
 					<dim>1</dim>
-					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="474" name="/encoder/mid_block/attentions.0/Constant_16" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="57233240" size="8" />
+		<layer id="503" name="/encoder/mid_block/attentions.0/Unsqueeze_17" type="Unsqueeze" version="opset1">
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Unsqueeze_17, Constant_421"/>
 			</rt_info>
+			<input>
+				<port id="0" precision="I64"/>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" names="/encoder/mid_block/attentions.0/Constant_16_output_0">
+				<port id="2" precision="I64" names="/encoder/mid_block/attentions.0/Unsqueeze_17_output_0">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="475" name="/encoder/mid_block/attentions.0/Concat_4" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="504" name="/encoder/mid_block/attentions.0/Concat_5" type="Concat" version="opset1">
+			<data axis="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Concat_5, /encoder/mid_block/attentions.0/Constant_19"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="I64">
-					<dim>1</dim>
+					<dim>2</dim>
 				</port>
 				<port id="1" precision="I64">
 					<dim>1</dim>
@@ -8546,915 +9657,789 @@
 				</port>
 			</input>
 			<output>
-				<port id="3" precision="I64" names="/encoder/mid_block/attentions.0/Concat_4_output_0">
-					<dim>3</dim>
+				<port id="3" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="476" name="/encoder/mid_block/attentions.0/Reshape_4" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="505" name="/encoder/mid_block/attentions.0/Reshape_5" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Reshape_5"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
-					<dim>1</dim>
 					<dim>512</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>3</dim>
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Cast_3_output_0,/encoder/mid_block/attentions.0/Reshape_4_output_0">
+				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Reshape_5_output_0">
 					<dim>1</dim>
 					<dim>4096</dim>
+					<dim>1</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="477" name="Transpose_7636_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512" offset="58283986" size="524288" />
+		<layer id="506" name="Constant_19099" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="57233248" size="32"/>
 			<output>
-				<port id="0" precision="FP16">
-					<dim>512</dim>
-					<dim>512</dim>
+				<port id="0" precision="I64">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="478" name="Transpose_7636" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="507" name="/encoder/mid_block/attentions.0/Transpose_4" type="Reshape" version="opset1">
+			<data special_zero="true"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Transpose_4"/>
 			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>512</dim>
-					<dim>512</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>512</dim>
-					<dim>512</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="479" name="/encoder/mid_block/attentions.0/to_out.0/MatMul" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
+					<dim>1</dim>
 					<dim>512</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>512</dim>
-					<dim>512</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/to_out.0/MatMul_output_0">
+				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Transpose_4_output_0">
+					<dim>1</dim>
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="480" name="/encoder/mid_block/attentions.0/to_out.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>512</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>4096</dim>
-					<dim>512</dim>
-				</port>
-			</input>
+		<layer id="508" name="Constant_15264" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="57233280" size="16"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Concat_6"/>
+			</rt_info>
 			<output>
-				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/to_out.0/Add_output_0">
-					<dim>1</dim>
-					<dim>4096</dim>
-					<dim>512</dim>
+				<port id="0" precision="I64">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="481" name="Constant_1510" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="57233216" size="24" />
+		<layer id="509" name="Constant_15265" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="56706864" size="8"/>
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
-				</port>
+				<port id="0" precision="I64"/>
 			</output>
 		</layer>
-		<layer id="482" name="/encoder/mid_block/attentions.0/Transpose_6" type="Transpose" version="opset1">
+		<layer id="510" name="Gather_15266" type="Gather" version="opset8">
+			<data batch_dims="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Concat_6"/>
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>4096</dim>
-					<dim>512</dim>
+				<port id="0" precision="I64">
+					<dim>3</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>3</dim>
+					<dim>2</dim>
 				</port>
+				<port id="2" precision="I64"/>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Transpose_6_output_0">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>4096</dim>
+				<port id="3" precision="I64">
+					<dim>2</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="483" name="Constant_6434" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="58808274" size="24" />
+		<layer id="511" name="Constant_430" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="56706864" size="8"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="Constant_430"/>
 			</rt_info>
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="I64" names="onnx::Unsqueeze_782">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="484" name="Constant_6435" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="56706864" size="8" />
+		<layer id="512" name="/encoder/mid_block/attentions.0/Unsqueeze_20" type="Unsqueeze" version="opset1">
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Unsqueeze_20, Constant_430"/>
 			</rt_info>
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="485" name="Gather_6436" type="Gather" version="opset8">
-			<data batch_dims="0" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
+				<port id="0" precision="I64"/>
 				<port id="1" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
-				<port id="2" precision="I64" />
 			</input>
 			<output>
-				<port id="3" precision="I64">
-					<dim>3</dim>
+				<port id="2" precision="I64" names="/encoder/mid_block/attentions.0/Unsqueeze_20_output_0">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="486" name="/encoder/mid_block/attentions.0/Concat_5" type="Concat" version="opset1">
-			<data axis="0" />
+		<layer id="513" name="/encoder/mid_block/attentions.0/Concat_6" type="Concat" version="opset1">
+			<data axis="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Concat_6"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="I64">
-					<dim>1</dim>
+					<dim>2</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>3</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="I64" names="/encoder/mid_block/attentions.0/Concat_5_output_0">
-					<dim>4</dim>
+				<port id="2" precision="I64" names="/encoder/mid_block/attentions.0/Concat_6_output_0">
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="487" name="/encoder/mid_block/attentions.0/Reshape_5" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="514" name="/encoder/mid_block/attentions.0/Reshape_6" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Reshape_6"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>512</dim>
+					<dim>1</dim>
 					<dim>4096</dim>
+					<dim>512</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Reshape_5_output_0">
+				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Reshape_6_output_0">
 					<dim>1</dim>
+					<dim>4096</dim>
 					<dim>512</dim>
-					<dim>64</dim>
-					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="488" name="/encoder/mid_block/attentions.0/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="515" name="/encoder/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="/encoder/mid_block/attentions.0/MatMul_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>512</dim>
-					<dim>64</dim>
-					<dim>64</dim>
+					<dim>4096</dim>
+					<dim>4096</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
+					<dim>4096</dim>
 					<dim>512</dim>
-					<dim>64</dim>
-					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Add_output_0,/encoder/mid_block/attentions.0/Div_2_output_0">
+				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/MatMul_1_output_0">
 					<dim>1</dim>
+					<dim>4096</dim>
 					<dim>512</dim>
-					<dim>64</dim>
-					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="489" name="/encoder/mid_block/resnets.1/norm1/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9216" size="24" />
+		<layer id="516" name="/encoder/mid_block/attentions.0/Shape_17" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Shape_17, /encoder/mid_block/attentions.0/Shape_18, /encoder/mid_block/attentions.0/Shape_19"/>
 			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="I64" names="/encoder/mid_block/resnets.1/norm1/Constant_output_0">
+				<port id="1" precision="I64" names="/encoder/mid_block/attentions.0/Shape_17_output_0,/encoder/mid_block/attentions.0/Shape_18_output_0,/encoder/mid_block/attentions.0/Shape_19_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="490" name="/encoder/mid_block/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="517" name="/encoder/mid_block/attentions.0/Constant_25" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="56706864" size="8"/>
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+			<output>
+				<port id="0" precision="I64" names="/encoder/mid_block/attentions.0/Constant_25_output_0"/>
+			</output>
+		</layer>
+		<layer id="518" name="Constant_4659" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="56706864" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_4659"/>
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+			<output>
+				<port id="0" precision="I64"/>
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+		</layer>
+		<layer id="519" name="/encoder/mid_block/attentions.0/Gather_17" type="Gather" version="opset8">
+			<data batch_dims="0"/>
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+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Cast_8, /encoder/mid_block/attentions.0/Cast_9, /encoder/mid_block/attentions.0/Constant_25, /encoder/mid_block/attentions.0/Constant_28, /encoder/mid_block/attentions.0/Div_3, /encoder/mid_block/attentions.0/Gather_17, Constant_4659"/>
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+				<port id="3" precision="I64" names="/encoder/mid_block/attentions.0/Cast_8_output_0,/encoder/mid_block/attentions.0/Cast_9_output_0,/encoder/mid_block/attentions.0/Div_3_output_0,/encoder/mid_block/attentions.0/Gather_17_output_0"/>
 			</output>
 		</layer>
-		<layer id="491" name="Constant_1529" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9240" size="8" />
+		<layer id="520" name="Constant_475" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="56706864" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_475"/>
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 			<output>
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+				<port id="0" precision="I64" names="onnx::Unsqueeze_828">
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 		</layer>
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-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="521" name="/encoder/mid_block/attentions.0/Unsqueeze_24" type="Unsqueeze" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Unsqueeze_24, Constant_475"/>
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 			</input>
 			<output>
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+				<port id="2" precision="I64" names="/encoder/mid_block/attentions.0/Unsqueeze_24_output_0">
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 		</layer>
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-			<input>
-				<port id="0" precision="FP32">
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+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Constant_29"/>
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+			<output>
+				<port id="0" precision="I64" names="/encoder/mid_block/attentions.0/Constant_29_output_0">
 					<dim>1</dim>
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-					<dim>64</dim>
-					<dim>64</dim>
 				</port>
-			</input>
+			</output>
+		</layer>
+		<layer id="523" name="Constant_15269" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="58283924" size="16"/>
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+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Concat_8, /encoder/mid_block/attentions.0/Constant_29"/>
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 			<output>
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-					<dim>4</dim>
+				<port id="0" precision="I64">
+					<dim>2</dim>
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 			</output>
 		</layer>
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-			<data special_zero="true" />
+		<layer id="524" name="Constant_15270" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="56706864" size="8"/>
+			<output>
+				<port id="0" precision="I64"/>
+			</output>
+		</layer>
+		<layer id="525" name="Gather_15271" type="Gather" version="opset8">
+			<data batch_dims="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Concat_8, /encoder/mid_block/attentions.0/Constant_29"/>
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 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
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 				</port>
+				<port id="2" precision="I64"/>
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 			<output>
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-					<dim>64</dim>
+				<port id="3" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="495" name="Constant_7768_compressed" type="Const" version="opset1">
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-			</output>
-		</layer>
-		<layer id="496" name="Constant_7768" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="526" name="/encoder/mid_block/attentions.0/Concat_8" type="Concat" version="opset1">
+			<data axis="0"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Concat_8, /encoder/mid_block/attentions.0/Constant_29"/>
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 			<input>
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+				<port id="1" precision="I64">
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+				<port id="2" precision="I64">
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 			</input>
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+				<port id="3" precision="I64" names="/encoder/mid_block/attentions.0/Concat_8_output_0">
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 				</port>
 			</output>
 		</layer>
-		<layer id="497" name="/encoder/mid_block/resnets.1/norm1/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="527" name="/encoder/mid_block/attentions.0/Reshape_7" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Reshape_7"/>
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
+					<dim>4096</dim>
 					<dim>512</dim>
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-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="1" precision="I64">
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 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/encoder/mid_block/resnets.1/norm1/Mul_output_0">
+				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Reshape_7_output_0">
 					<dim>1</dim>
+					<dim>1</dim>
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 					<dim>512</dim>
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 			</output>
 		</layer>
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-			<data element_type="f16" shape="1, 512, 1, 1" offset="58809322" size="1024" />
+		<layer id="528" name="Constant_4781" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="58283940" size="32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_4781"/>
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-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="I64">
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 				</port>
 			</output>
 		</layer>
-		<layer id="499" name="Constant_7769" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="529" name="/encoder/mid_block/attentions.0/Transpose_6" type="Transpose" version="opset1">
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Transpose_6"/>
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 			<input>
-				<port id="0" precision="FP16">
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-					<dim>512</dim>
+				<port id="0" precision="FP32">
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 					<dim>1</dim>
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+					<dim>512</dim>
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+				<port id="1" precision="I64">
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 			</input>
 			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
+				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Transpose_6_output_0">
 					<dim>1</dim>
+					<dim>4096</dim>
 					<dim>1</dim>
+					<dim>512</dim>
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 			</output>
 		</layer>
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-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
+		<layer id="530" name="Constant_485" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="56706864" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_485"/>
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 			<output>
-				<port id="2" precision="FP32" names="/encoder/mid_block/resnets.1/norm1/Add_output_0">
+				<port id="0" precision="I64" names="onnx::Unsqueeze_839">
 					<dim>1</dim>
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-					<dim>64</dim>
-					<dim>64</dim>
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 			</output>
 		</layer>
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+		<layer id="531" name="/encoder/mid_block/attentions.0/Unsqueeze_27" type="Unsqueeze" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Unsqueeze_27, Constant_485"/>
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 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I64"/>
+				<port id="1" precision="I64">
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 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/encoder/mid_block/resnets.1/nonlinearity/Mul_output_0">
+				<port id="2" precision="I64" names="/encoder/mid_block/attentions.0/Unsqueeze_27_output_0">
 					<dim>1</dim>
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 		</layer>
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+		<layer id="532" name="Constant_15274" type="Const" version="opset1">
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+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Concat_9"/>
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-					<dim>512</dim>
-					<dim>512</dim>
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-					<dim>3</dim>
+				<port id="0" precision="I64">
+					<dim>2</dim>
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 		</layer>
-		<layer id="503" name="vae.encoder.mid_block.resnets.1.conv1.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="533" name="Constant_15275" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="56706864" size="8"/>
+			<output>
+				<port id="0" precision="I64"/>
+			</output>
+		</layer>
+		<layer id="534" name="Gather_15276" type="Gather" version="opset8">
+			<data batch_dims="0"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Concat_9"/>
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 					<dim>3</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
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-					<dim>512</dim>
-					<dim>3</dim>
+				<port id="3" precision="I64">
+					<dim>2</dim>
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+		</layer>
+		<layer id="535" name="/encoder/mid_block/attentions.0/Concat_9" type="Concat" version="opset1">
+			<data axis="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Concat_9"/>
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+				<port id="1" precision="I64">
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+				<port id="2" precision="I64" names="/encoder/mid_block/attentions.0/Concat_9_output_0">
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-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+		<layer id="536" name="/encoder/mid_block/attentions.0/Reshape_8" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Reshape_8"/>
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-				<port id="1" precision="FP32">
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-					<dim>512</dim>
-					<dim>3</dim>
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 			</input>
 			<output>
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+				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Reshape_8_output_0">
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+		<layer id="537" name="Constant_19111_compressed" type="Const" version="opset1">
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 					<dim>512</dim>
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 		</layer>
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+		<layer id="538" name="Constant_19111" type="Convert" version="opset1">
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 		</layer>
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+		<layer id="539" name="/encoder/mid_block/attentions.0/to_out.0/MatMul" type="MatMul" version="opset1">
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 					<dim>1</dim>
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+				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/to_out.0/MatMul_output_0">
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 		</layer>
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+		<layer id="540" name="/encoder/mid_block/attentions.0/to_out.0/Add" type="Add" version="opset1">
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 				<port id="0" precision="FP32">
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 		</layer>
-		<layer id="510" name="Constant_1576" type="Const" version="opset1">
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+		<layer id="541" name="Constant_4889" type="Const" version="opset1">
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 			</output>
 		</layer>
-		<layer id="512" name="/encoder/mid_block/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="542" name="/encoder/mid_block/attentions.0/Transpose_7" type="Transpose" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Transpose_7"/>
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
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-			<output>
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-					<dim>4</dim>
-				</port>
-			</output>
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-		<layer id="513" name="/encoder/mid_block/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
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-					<dim>32</dim>
-					<dim>65536</dim>
 				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/encoder/mid_block/resnets.1/norm2/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Transpose_7_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
-					<dim>64</dim>
-					<dim>64</dim>
+					<dim>4096</dim>
 				</port>
 			</output>
 		</layer>
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-			<data element_type="f16" shape="1, 512, 1, 1" offset="63529962" size="1024" />
+		<layer id="543" name="Constant_3748" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="56708928" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_3748"/>
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 			<output>
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-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="I64">
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="515" name="Constant_7770" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="544" name="/encoder/mid_block/attentions.0/Transpose" type="Transpose" version="opset1">
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Transpose"/>
 			</rt_info>
 			<input>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
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 					<dim>512</dim>
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+				<port id="1" precision="I64">
+					<dim>3</dim>
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 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Transpose_output_0">
 					<dim>1</dim>
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 					<dim>512</dim>
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-					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="516" name="/encoder/mid_block/resnets.1/norm2/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="545" name="/encoder/mid_block/attentions.0/Shape_4" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Shape_4"/>
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 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
+					<dim>4096</dim>
 					<dim>512</dim>
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-					<dim>64</dim>
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-				<port id="1" precision="FP32">
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 				</port>
 			</input>
 			<output>
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-					<dim>512</dim>
-					<dim>64</dim>
-					<dim>64</dim>
+				<port id="1" precision="I64" names="/encoder/mid_block/attentions.0/Shape_4_output_0">
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="517" name="Constant_7771_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="63530986" size="1024" />
+		<layer id="546" name="Constant_15199" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="56706864" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Constant_4, /encoder/mid_block/attentions.0/Gather_4, /encoder/mid_block/attentions.0/Unsqueeze_30, Constant_3752, Constant_496"/>
+			</rt_info>
 			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
+				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="518" name="Constant_7771" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="547" name="Constant_3752" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="56706864" size="8"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="fused_names" version="0" value="Constant_3752"/>
 			</rt_info>
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 			<output>
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-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
+				<port id="0" precision="I64"/>
 			</output>
 		</layer>
-		<layer id="519" name="/encoder/mid_block/resnets.1/norm2/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="548" name="/encoder/mid_block/attentions.0/Gather_4" type="Gather" version="opset8">
+			<data batch_dims="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Constant_4, /encoder/mid_block/attentions.0/Gather_4, /encoder/mid_block/attentions.0/Unsqueeze_30, Constant_3752, Constant_496"/>
+			</rt_info>
 			<input>
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-					<dim>512</dim>
-					<dim>64</dim>
-					<dim>64</dim>
+				<port id="0" precision="I64">
+					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
+				<port id="1" precision="I64">
 					<dim>1</dim>
 				</port>
+				<port id="2" precision="I64"/>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/encoder/mid_block/resnets.1/norm2/Add_output_0">
+				<port id="3" precision="I64" names="/encoder/mid_block/attentions.0/Unsqueeze_30_output_0">
 					<dim>1</dim>
-					<dim>512</dim>
-					<dim>64</dim>
-					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="520" name="/encoder/mid_block/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>64</dim>
-					<dim>64</dim>
-				</port>
-			</input>
+		<layer id="549" name="Constant_15283" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="58808260" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Concat_10"/>
+			</rt_info>
 			<output>
-				<port id="1" precision="FP32" names="/encoder/mid_block/resnets.1/nonlinearity_1/Mul_output_0">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>64</dim>
-					<dim>64</dim>
+				<port id="0" precision="I64">
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="521" name="vae.encoder.mid_block.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="512, 512, 3, 3" offset="63532010" size="4718592" />
+		<layer id="550" name="Constant_15284" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="56706864" size="8"/>
 			<output>
-				<port id="0" precision="FP16">
-					<dim>512</dim>
-					<dim>512</dim>
-					<dim>3</dim>
-					<dim>3</dim>
-				</port>
+				<port id="0" precision="I64"/>
 			</output>
 		</layer>
-		<layer id="522" name="vae.encoder.mid_block.resnets.1.conv2.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="551" name="Gather_15285" type="Gather" version="opset8">
+			<data batch_dims="0"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Concat_10"/>
 			</rt_info>
 			<input>
-				<port id="0" precision="FP16">
-					<dim>512</dim>
-					<dim>512</dim>
-					<dim>3</dim>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
 					<dim>3</dim>
 				</port>
+				<port id="2" precision="I64"/>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="vae.encoder.mid_block.resnets.1.conv2.weight">
-					<dim>512</dim>
-					<dim>512</dim>
-					<dim>3</dim>
+				<port id="3" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="523" name="/encoder/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="552" name="/encoder/mid_block/attentions.0/Concat_10" type="Concat" version="opset1">
+			<data axis="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Concat_10"/>
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="I64">
 					<dim>1</dim>
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-					<dim>64</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>512</dim>
-					<dim>512</dim>
-					<dim>3</dim>
+				<port id="1" precision="I64">
 					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
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-					<dim>64</dim>
-					<dim>64</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="524" name="Reshape_1617_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="68250602" size="1024" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="2" precision="I64" names="/encoder/mid_block/attentions.0/Concat_10_output_0">
+					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="525" name="Reshape_1617" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="553" name="/encoder/mid_block/attentions.0/Reshape_9" type="Reshape" version="opset1">
+			<data special_zero="true"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Reshape_9"/>
 			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="526" name="/encoder/mid_block/resnets.1/conv2/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
-					<dim>64</dim>
-					<dim>64</dim>
+					<dim>4096</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/encoder/mid_block/resnets.1/conv2/Conv_output_0">
+				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Reshape_9_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -9462,8 +10447,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="527" name="/encoder/mid_block/resnets.1/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="554" name="/encoder/mid_block/attentions.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/attentions.0/Add_1, /encoder/mid_block/attentions.0/Div_4"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9479,7 +10467,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/encoder/mid_block/resnets.1/Add_output_0,/encoder/mid_block/resnets.1/Div_output_0">
+				<port id="2" precision="FP32" names="/encoder/mid_block/attentions.0/Add_1_output_0,/encoder/mid_block/attentions.0/Div_4_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -9487,19 +10475,22 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="528" name="/encoder/conv_norm_out/Constant" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="9216" size="24" />
+		<layer id="555" name="/encoder/mid_block/resnets.1/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="9216" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/resnets.1/norm1/Constant"/>
 			</rt_info>
 			<output>
-				<port id="0" precision="I64" names="/encoder/conv_norm_out/Constant_output_0">
+				<port id="0" precision="I64" names="/encoder/mid_block/resnets.1/norm1/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="529" name="/encoder/conv_norm_out/Reshape" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="556" name="/encoder/mid_block/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/resnets.1/norm1/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9512,23 +10503,29 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/encoder/conv_norm_out/Reshape_output_0">
+				<port id="2" precision="FP32" names="/encoder/mid_block/resnets.1/norm1/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>65536</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="530" name="Constant_1626" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="9240" size="8" />
+		<layer id="557" name="Constant_4990" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9240" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_4990"/>
+			</rt_info>
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="531" name="MVN_1627" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+		<layer id="558" name="MVN_4991" 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="/encoder/mid_block/resnets.1/norm1/InstanceNormalization, Concat_5010, Concat_5055, MVN_4991, Multiply_5038, Reshape_5011, Reshape_5056"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9540,15 +10537,18 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/encoder/conv_norm_out/InstanceNormalization_output_0">
+				<port id="2" precision="FP32" names="/encoder/mid_block/resnets.1/norm1/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>65536</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="532" name="/encoder/conv_norm_out/Shape" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="559" name="/encoder/mid_block/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/resnets.1/norm1/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9558,13 +10558,16 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/encoder/conv_norm_out/Shape_output_0">
+				<port id="1" precision="I64" names="/encoder/mid_block/resnets.1/norm1/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="533" name="/encoder/conv_norm_out/Reshape_1" type="Reshape" version="opset1">
-			<data special_zero="true" />
+		<layer id="560" name="/encoder/mid_block/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/resnets.1/norm1/Reshape_1"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9576,7 +10579,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/encoder/conv_norm_out/Reshape_1_output_0">
+				<port id="2" precision="FP32" names="/encoder/mid_block/resnets.1/norm1/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -9584,8 +10587,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="534" name="Constant_7772_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="68251626" size="1024" />
+		<layer id="561" name="Constant_19227_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="58808284" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -9595,10 +10598,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="535" name="Constant_7772" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="562" name="Constant_19227" 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">
@@ -9617,8 +10620,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="536" name="/encoder/conv_norm_out/Mul" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="563" name="/encoder/mid_block/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/resnets.1/norm1/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9634,7 +10640,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/encoder/conv_norm_out/Mul_output_0">
+				<port id="2" precision="FP32" names="/encoder/mid_block/resnets.1/norm1/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -9642,8 +10648,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="537" name="Constant_7773_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 512, 1, 1" offset="68252650" size="1024" />
+		<layer id="564" name="Constant_19228_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="58809308" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
@@ -9653,10 +10659,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="538" name="Constant_7773" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="565" name="Constant_19228" 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">
@@ -9675,8 +10681,11 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="539" name="/encoder/conv_norm_out/Add" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="566" name="/encoder/mid_block/resnets.1/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/resnets.1/norm1/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9692,7 +10701,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/encoder/conv_norm_out/Add_output_0">
+				<port id="2" precision="FP32" names="/encoder/mid_block/resnets.1/norm1/Add_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -9700,7 +10709,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="540" name="/encoder/conv_act/Mul" type="Swish" version="opset4">
+		<layer id="567" name="/encoder/mid_block/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/resnets.1/nonlinearity/Mul, /encoder/mid_block/resnets.1/nonlinearity/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9710,7 +10722,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/encoder/conv_act/Mul_output_0">
+				<port id="1" precision="FP32" names="/encoder/mid_block/resnets.1/nonlinearity/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -9718,41 +10730,45 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="541" name="vae.encoder.conv_out.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="8, 512, 3, 3" offset="68253674" size="73728" />
+		<layer id="568" name="vae.encoder.mid_block.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="58810332" size="4718592"/>
 			<output>
 				<port id="0" precision="FP16">
-					<dim>8</dim>
+					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="542" name="vae.encoder.conv_out.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="569" name="vae.encoder.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.encoder.mid_block.resnets.1.conv1.weight"/>
 			</rt_info>
 			<input>
 				<port id="0" precision="FP16">
-					<dim>8</dim>
+					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="vae.encoder.conv_out.weight">
-					<dim>8</dim>
+				<port id="1" precision="FP32" names="vae.encoder.mid_block.resnets.1.conv1.weight">
+					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="543" name="/encoder/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="570" name="/encoder/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="/encoder/mid_block/resnets.1/conv1/Conv/WithoutBiases"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9761,7 +10777,7 @@
 					<dim>64</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>8</dim>
+					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
 					<dim>3</dim>
@@ -9770,588 +10786,410 @@
 			<output>
 				<port id="2" precision="FP32">
 					<dim>1</dim>
-					<dim>8</dim>
+					<dim>512</dim>
 					<dim>64</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="544" name="Reshape_1667_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 8, 1, 1" offset="68327402" size="16" />
+		<layer id="571" name="Reshape_5115_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="63528924" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
-					<dim>8</dim>
+					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="545" name="Reshape_1667" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="572" name="Reshape_5115" 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">
 					<dim>1</dim>
-					<dim>8</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="546" name="/encoder/conv_out/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>64</dim>
-					<dim>64</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="/encoder/conv_out/Conv_output_0">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>64</dim>
-					<dim>64</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="547" name="vae.quant_conv.weight_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="8, 8, 1, 1" offset="68327418" size="128" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>8</dim>
-					<dim>8</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="548" name="vae.quant_conv.weight" type="Convert" version="opset1">
-			<data destination_type="f32" />
-			<rt_info>
-				<attribute name="decompression" version="0" />
-			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>8</dim>
-					<dim>8</dim>
+					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="vae.quant_conv.weight">
-					<dim>8</dim>
-					<dim>8</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="549" name="/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" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>64</dim>
-					<dim>64</dim>
-				</port>
 				<port id="1" precision="FP32">
-					<dim>8</dim>
-					<dim>8</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>64</dim>
-					<dim>64</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="550" name="Reshape_1680_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 8, 1, 1" offset="68327546" size="16" />
-			<output>
-				<port id="0" precision="FP16">
 					<dim>1</dim>
-					<dim>8</dim>
+					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="551" name="Reshape_1680" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="573" name="/encoder/mid_block/resnets.1/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/resnets.1/conv1/Conv, Concat_5114, Reshape_5115"/>
 			</rt_info>
-			<input>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>8</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="552" name="/quant_conv/Conv" type="Add" version="opset1">
-			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>8</dim>
+					<dim>512</dim>
 					<dim>64</dim>
 					<dim>64</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
-					<dim>8</dim>
+					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/quant_conv/Conv_output_0">
+				<port id="2" precision="FP32" names="/encoder/mid_block/resnets.1/conv1/Conv_output_0">
 					<dim>1</dim>
-					<dim>8</dim>
+					<dim>512</dim>
 					<dim>64</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="553" name="Constant_7071" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="56706848" size="16" />
+		<layer id="574" name="/encoder/mid_block/resnets.1/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="9216" size="24"/>
 			<rt_info>
-				<attribute name="precise" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/resnets.1/norm2/Constant"/>
 			</rt_info>
 			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="554" name="Constant_7072" type="Const" version="opset1">
-			<data element_type="i64" shape="2" offset="56706848" size="16" />
-			<rt_info>
-				<attribute name="precise" version="0" />
-			</rt_info>
-			<output>
-				<port id="0" precision="I64">
-					<dim>2</dim>
+				<port id="0" precision="I64" names="/encoder/mid_block/resnets.1/norm2/Constant_output_0">
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="555" name="Constant_7068" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="57233248" size="8" />
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+		<layer id="577" name="MVN_5153" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
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+			<data auto_broadcast="numpy"/>
 			<rt_info>
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 			</output>
 		</layer>
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+		<layer id="584" name="Constant_19230" type="Convert" version="opset1">
+			<data destination_type="f32"/>
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 			<output>
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+					<dim>512</dim>
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 			</output>
 		</layer>
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+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/resnets.1/norm2/Add"/>
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 			</input>
 			<output>
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-				<attribute name="precise" version="0" />
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 					<dim>1</dim>
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 			</output>
 		</layer>
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+		<layer id="588" name="vae.encoder.mid_block.resnets.1.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
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+					<dim>3</dim>
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+		<layer id="589" name="/encoder/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"/>
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 					<dim>1</dim>
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 					<dim>64</dim>
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 			<output>
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+					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="580" name="Constant_7774" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="591" name="Reshape_5277" 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">
 					<dim>1</dim>
-					<dim>1</dim>
+					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
@@ -10359,230 +11197,261 @@
 			<output>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
-					<dim>1</dim>
+					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="581" name="/Mul_2" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="592" name="/encoder/mid_block/resnets.1/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/resnets.1/conv2/Conv, Concat_5276, Reshape_5277"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>4</dim>
+					<dim>512</dim>
 					<dim>64</dim>
 					<dim>64</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
-					<dim>1</dim>
+					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/Mul_2_output_0">
+				<port id="2" precision="FP32" names="/encoder/mid_block/resnets.1/conv2/Conv_output_0">
 					<dim>1</dim>
-					<dim>4</dim>
+					<dim>512</dim>
 					<dim>64</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="582" name="/Exp" type="Exp" version="opset1">
+		<layer id="593" name="/encoder/mid_block/resnets.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/mid_block/resnets.1/Add, /encoder/mid_block/resnets.1/Div"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>4</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
 					<dim>64</dim>
 					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="/Exp_output_0">
+				<port id="2" precision="FP32" names="/encoder/mid_block/resnets.1/Add_output_0,/encoder/mid_block/resnets.1/Div_output_0">
 					<dim>1</dim>
-					<dim>4</dim>
+					<dim>512</dim>
 					<dim>64</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="583" name="Constant_1818_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="" offset="68327584" size="2" />
-			<output>
-				<port id="0" precision="FP16" />
-			</output>
-		</layer>
-		<layer id="584" name="Constant_1818" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="594" name="/encoder/conv_norm_out/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="9216" size="24"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/conv_norm_out/Constant"/>
 			</rt_info>
-			<input>
-				<port id="0" precision="FP16" />
-			</input>
 			<output>
-				<port id="1" precision="FP32" />
+				<port id="0" precision="I64" names="/encoder/conv_norm_out/Constant_output_0">
+					<dim>3</dim>
+				</port>
 			</output>
 		</layer>
-		<layer id="585" name="/Shape_1" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="595" name="/encoder/conv_norm_out/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/conv_norm_out/Reshape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>4</dim>
+					<dim>512</dim>
 					<dim>64</dim>
 					<dim>64</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="/Concat_output_0,/Shape_1_output_0,/Shape_2_output_0,/Shape_3_output_0,/Shape_4_output_0">
-					<dim>4</dim>
+				<port id="2" precision="FP32" names="/encoder/conv_norm_out/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="596" name="Constant_5317" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9240" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_5317"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="586" name="/ConstantOfShape" type="Broadcast" version="opset3">
-			<data mode="numpy" />
+		<layer id="597" name="MVN_5318" 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="/encoder/conv_norm_out/InstanceNormalization, Concat_5337, Concat_5382, MVN_5318, Multiply_5365, Reshape_5338, Reshape_5383"/>
+			</rt_info>
 			<input>
-				<port id="0" precision="FP32" />
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
 				<port id="1" precision="I64">
-					<dim>4</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="/ConstantOfShape_output_0">
+				<port id="2" precision="FP32" names="/encoder/conv_norm_out/InstanceNormalization_output_0">
 					<dim>1</dim>
-					<dim>4</dim>
-					<dim>64</dim>
-					<dim>64</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="587" name="ShapeOf_1822" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
+		<layer id="598" name="/encoder/conv_norm_out/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/conv_norm_out/Shape"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>4</dim>
+					<dim>512</dim>
 					<dim>64</dim>
 					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64">
+				<port id="1" precision="I64" names="/encoder/conv_norm_out/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="588" name="Constant_1823_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1" offset="68327584" size="2" />
-			<output>
-				<port id="0" precision="FP16">
-					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="589" name="Constant_1823" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="599" name="/encoder/conv_norm_out/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
 			<rt_info>
-				<attribute name="decompression" version="0" />
+				<attribute name="fused_names" version="0" value="/encoder/conv_norm_out/Reshape_1"/>
 			</rt_info>
 			<input>
-				<port id="0" precision="FP16">
+				<port id="0" precision="FP32">
 					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP32" names="/encoder/conv_norm_out/Reshape_1_output_0">
 					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="590" name="Constant_1824_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1" offset="57758600" size="2" />
+		<layer id="600" name="Constant_19231_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="68251612" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="591" name="Constant_1824" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="601" name="Constant_19231" 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">
 					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
 				</port>
 			</input>
 			<output>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="592" name="RandomUniform_1825" type="RandomUniform" version="opset8">
-			<data output_type="f32" op_seed="0" global_seed="0" />
-			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
-				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-				</port>
-				<port id="2" precision="FP32">
+					<dim>512</dim>
 					<dim>1</dim>
-				</port>
-			</input>
-			<output>
-				<port id="3" precision="FP32">
 					<dim>1</dim>
-					<dim>4</dim>
-					<dim>64</dim>
-					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="593" name="Log_1834" type="Log" version="opset1">
+		<layer id="602" name="/encoder/conv_norm_out/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/conv_norm_out/Mul"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>4</dim>
+					<dim>512</dim>
 					<dim>64</dim>
 					<dim>64</dim>
 				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="2" precision="FP32" names="/encoder/conv_norm_out/Mul_output_0">
 					<dim>1</dim>
-					<dim>4</dim>
+					<dim>512</dim>
 					<dim>64</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="594" name="Constant_7775_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="68327586" size="2" />
+		<layer id="603" name="Constant_19232_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="68252636" size="1024"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
-					<dim>1</dim>
+					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="595" name="Constant_7775" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="604" name="Constant_19232" 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">
 					<dim>1</dim>
-					<dim>1</dim>
+					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
@@ -10590,97 +11459,143 @@
 			<output>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
-					<dim>1</dim>
+					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="596" name="Multiply_1835" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="605" name="/encoder/conv_norm_out/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/conv_norm_out/Add"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>4</dim>
+					<dim>512</dim>
 					<dim>64</dim>
 					<dim>64</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
-					<dim>1</dim>
+					<dim>512</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32">
+				<port id="2" precision="FP32" names="/encoder/conv_norm_out/Add_output_0">
 					<dim>1</dim>
-					<dim>4</dim>
+					<dim>512</dim>
 					<dim>64</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="597" name="Sqrt_1836" type="Sqrt" version="opset1">
+		<layer id="606" name="/encoder/conv_act/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/encoder/conv_act/Mul, /encoder/conv_act/Sigmoid"/>
+			</rt_info>
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>4</dim>
+					<dim>512</dim>
 					<dim>64</dim>
 					<dim>64</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32">
+				<port id="1" precision="FP32" names="/encoder/conv_act/Mul_output_0">
 					<dim>1</dim>
-					<dim>4</dim>
+					<dim>512</dim>
 					<dim>64</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="598" name="RandomUniform_1828" type="RandomUniform" version="opset8">
-			<data output_type="f32" op_seed="0" global_seed="0" />
+		<layer id="607" name="vae.encoder.conv_out.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="8, 512, 3, 3" offset="68253660" size="73728"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>8</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="608" name="vae.encoder.conv_out.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.encoder.conv_out.weight"/>
+			</rt_info>
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP16">
+					<dim>8</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.encoder.conv_out.weight">
+					<dim>8</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
-				<port id="2" precision="FP32">
+			</output>
+		</layer>
+		<layer id="609" name="/encoder/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="/encoder/conv_out/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>8</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="3" precision="FP32">
+				<port id="2" precision="FP32">
 					<dim>1</dim>
-					<dim>4</dim>
+					<dim>8</dim>
 					<dim>64</dim>
 					<dim>64</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="599" name="Constant_7776_compressed" type="Const" version="opset1">
-			<data element_type="f16" shape="1, 1, 1, 1" offset="68327588" size="2" />
+		<layer id="610" name="Reshape_5442_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 8, 1, 1" offset="68327388" size="16"/>
 			<output>
 				<port id="0" precision="FP16">
 					<dim>1</dim>
-					<dim>1</dim>
+					<dim>8</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="600" name="Constant_7776" type="Convert" version="opset1">
-			<data destination_type="f32" />
+		<layer id="611" name="Reshape_5442" 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">
 					<dim>1</dim>
-					<dim>1</dim>
+					<dim>8</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
@@ -10688,160 +11603,171 @@
 			<output>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
-					<dim>1</dim>
+					<dim>8</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="601" name="Multiply_1837" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy" />
+		<layer id="612" name="/encoder/conv_out/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
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