diff --git "a/vae_decoder.xml" "b/vae_decoder.xml"
new file mode 100644--- /dev/null
+++ "b/vae_decoder.xml"
@@ -0,0 +1,14776 @@
+<?xml version="1.0" ?>
+<net name="torch_jit" version="11">
+	<layers>
+		<layer id="0" name="latents" type="Parameter" version="opset1">
+			<data shape="1,4,64,64" element_type="f32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="latents"/>
+				<attribute name="old_api_map_element_type" version="0" value="f16"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="latents">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="Constant_11892_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>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="Constant_11892" 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>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="Constant_11888_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>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="Constant_11888" 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>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="vae.post_quant_conv.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="4, 4, 1, 1" offset="2048" size="32"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="vae.post_quant_conv.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.post_quant_conv.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.post_quant_conv.weight">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="/post_quant_conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/post_quant_conv/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="Reshape_161_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 4, 1, 1" offset="2080" size="8"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="Reshape_161" 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>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="/post_quant_conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/post_quant_conv/Conv, Concat_160, Reshape_161"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/post_quant_conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="vae.decoder.conv_in.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 4, 3, 3" offset="2088" size="36864"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="vae.decoder.conv_in.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.conv_in.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.conv_in.weight">
+					<dim>512</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="/decoder/conv_in/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/conv_in/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="Reshape_209_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="38952" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="Reshape_209" 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>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="16" name="/decoder/conv_in/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/conv_in/Conv, Concat_208, Reshape_209"/>
+			</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>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/conv_in/Conv_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="/decoder/mid_block/resnets.0/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/norm1/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/mid_block/resnets.0/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="/decoder/mid_block/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/norm1/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.0/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="Constant_246" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_246"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="MVN_247" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/norm1/InstanceNormalization, Concat_266, Concat_311, MVN_247, Multiply_294, Reshape_267, Reshape_312"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.0/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="/decoder/mid_block/resnets.0/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/norm1/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/mid_block/resnets.0/norm1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="/decoder/mid_block/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/norm1/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.0/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="Constant_11882_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="40008" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="24" name="Constant_11882" 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>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="25" name="/decoder/mid_block/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/norm1/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="2" precision="FP32" names="/decoder/mid_block/resnets.0/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="Constant_11883_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="41032" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="27" name="Constant_11883" 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>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="28" name="/decoder/mid_block/resnets.0/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/norm1/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="2" precision="FP32" names="/decoder/mid_block/resnets.0/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="29" name="/decoder/mid_block/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/nonlinearity/Mul, /decoder/mid_block/resnets.0/nonlinearity/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/mid_block/resnets.0/nonlinearity/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="30" name="vae.decoder.mid_block.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="42056" size="4718592"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="31" name="vae.decoder.mid_block.resnets.0.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.mid_block.resnets.0.conv1.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.mid_block.resnets.0.conv1.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="32" name="/decoder/mid_block/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/conv1/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="33" name="Reshape_371_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="4760648" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="34" name="Reshape_371" 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>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="35" name="/decoder/mid_block/resnets.0/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/conv1/Conv, Concat_370, Reshape_371"/>
+			</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>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.0/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="36" name="/decoder/mid_block/resnets.0/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/norm2/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/mid_block/resnets.0/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="37" name="/decoder/mid_block/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/norm2/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.0/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="38" name="Constant_408" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_408"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="39" name="MVN_409" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/norm2/InstanceNormalization, Concat_428, Concat_473, MVN_409, Multiply_456, Reshape_429, Reshape_474"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.0/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="40" name="/decoder/mid_block/resnets.0/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/norm2/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/mid_block/resnets.0/norm2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="41" name="/decoder/mid_block/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/norm2/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.0/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="42" name="Constant_11884_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="4761672" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="43" name="Constant_11884" 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>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="44" name="/decoder/mid_block/resnets.0/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/norm2/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="2" precision="FP32" names="/decoder/mid_block/resnets.0/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="45" name="Constant_11885_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="4762696" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="46" name="Constant_11885" 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>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="47" name="/decoder/mid_block/resnets.0/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/norm2/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="2" precision="FP32" names="/decoder/mid_block/resnets.0/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="48" name="/decoder/mid_block/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/nonlinearity_1/Mul, /decoder/mid_block/resnets.0/nonlinearity_1/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/mid_block/resnets.0/nonlinearity_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="49" name="vae.decoder.mid_block.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="4763720" size="4718592"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="50" name="vae.decoder.mid_block.resnets.0.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.mid_block.resnets.0.conv2.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.mid_block.resnets.0.conv2.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="51" name="/decoder/mid_block/resnets.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/conv2/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="52" name="Reshape_533_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="9482312" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="53" name="Reshape_533" 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>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="54" name="/decoder/mid_block/resnets.0/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/conv2/Conv, Concat_532, Reshape_533"/>
+			</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>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.0/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="55" name="/decoder/mid_block/resnets.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/Add, /decoder/mid_block/resnets.0/Div"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="2" precision="FP32" names="/decoder/mid_block/resnets.0/Add_output_0,/decoder/mid_block/resnets.0/Div_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="56" name="/decoder/mid_block/attentions.0/group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/group_norm/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/group_norm/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="57" name="/decoder/mid_block/attentions.0/group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/group_norm/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/group_norm/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="58" name="Constant_573" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_573"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="59" name="MVN_574" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/group_norm/InstanceNormalization, Concat_593, Concat_638, MVN_574, Multiply_621, Reshape_594, Reshape_639"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/group_norm/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="60" name="/decoder/mid_block/attentions.0/group_norm/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/group_norm/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/mid_block/attentions.0/group_norm/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="61" name="/decoder/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="/decoder/mid_block/attentions.0/group_norm/Reshape_1"/>
+			</rt_info>
+			<input>
+				<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="2" precision="FP32" names="/decoder/mid_block/attentions.0/group_norm/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="62" name="Constant_11886_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="9483336" 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="63" name="Constant_11886" 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>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="64" name="/decoder/mid_block/attentions.0/group_norm/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/group_norm/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="2" precision="FP32" names="/decoder/mid_block/attentions.0/group_norm/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="65" name="Constant_11887_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="9484360" 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="66" name="Constant_11887" 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>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="67" name="/decoder/mid_block/attentions.0/group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/group_norm/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="2" precision="FP32" names="/decoder/mid_block/attentions.0/group_norm/Add_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="68" name="/decoder/mid_block/attentions.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="9485384" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="69" name="/decoder/mid_block/attentions.0/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="70" name="Constant_683" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="9485408" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_683"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="71" name="/decoder/mid_block/attentions.0/Transpose" type="Transpose" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Transpose"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Transpose_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="72" name="Constant_11718_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512" offset="9485432" size="524288"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="73" name="Constant_11718" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/query/MatMul, onnx::MatMul_943"/>
+			</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="74" name="/decoder/mid_block/attentions.0/query/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/query/MatMul, onnx::MatMul_943"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/query/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="75" name="/decoder/mid_block/attentions.0/query/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/query/Add"/>
+			</rt_info>
+			<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>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/query/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="76" name="/decoder/mid_block/attentions.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="10009720" size="32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Constant_1"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="77" name="/decoder/mid_block/attentions.0/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="78" name="Constant_11720" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="10009752" size="32"/>
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="79" name="/decoder/mid_block/attentions.0/Transpose_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Transpose_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="/decoder/mid_block/attentions.0/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="80" name="/decoder/mid_block/attentions.0/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="10009784" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Constant_2"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_2_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="81" name="/decoder/mid_block/attentions.0/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/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="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_2_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="82" name="Constant_11889_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 512" offset="10009808" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="83" name="Constant_11889" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="84" name="Constant_11732_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512" offset="10010832" size="524288"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="85" name="Constant_11732" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/key/MatMul, onnx::MatMul_944"/>
+			</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="86" name="/decoder/mid_block/attentions.0/key/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/key/MatMul, onnx::MatMul_944"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/key/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="87" name="/decoder/mid_block/attentions.0/key/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/key/Add"/>
+			</rt_info>
+			<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>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/key/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="88" name="/decoder/mid_block/attentions.0/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="10009720" size="32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Constant_3"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_3_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="89" name="/decoder/mid_block/attentions.0/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Reshape_3"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="90" name="Constant_11734" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="10009752" size="32"/>
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="91" name="/decoder/mid_block/attentions.0/Transpose_2" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Transpose_2"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="/decoder/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="92" name="/decoder/mid_block/attentions.0/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="10009784" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Constant_4"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_4_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="93" name="/decoder/mid_block/attentions.0/Reshape_4" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Reshape_4"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_4_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="94" name="Constant_739" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="9485408" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_739"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="95" name="/decoder/mid_block/attentions.0/Transpose_4" type="Transpose" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Transpose_4"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Transpose_4_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="96" name="Constant_11890_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1" offset="10535120" size="2"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="97" name="Constant_11890" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="98" name="Multiply_11796" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Add, /decoder/mid_block/attentions.0/Cast, /decoder/mid_block/attentions.0/MatMul, /decoder/mid_block/attentions.0/Mul, /decoder/mid_block/attentions.0/Transpose_4"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="99" name="/decoder/mid_block/attentions.0/Mul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Add, /decoder/mid_block/attentions.0/Cast, /decoder/mid_block/attentions.0/MatMul, /decoder/mid_block/attentions.0/Mul, /decoder/mid_block/attentions.0/Transpose_4"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>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="/decoder/mid_block/attentions.0/Add_output_0,/decoder/mid_block/attentions.0/Cast_output_0,/decoder/mid_block/attentions.0/Mul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="100" name="/decoder/mid_block/attentions.0/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Cast_1, /decoder/mid_block/attentions.0/Softmax"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/mid_block/attentions.0/Cast_1_output_0,/decoder/mid_block/attentions.0/Softmax_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="101" name="Constant_11891_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 512" offset="10535122" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="102" name="Constant_11891" 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>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="103" name="Constant_11746_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512" offset="10536146" size="524288"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="104" name="Constant_11746" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/value/MatMul, onnx::MatMul_945"/>
+			</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="105" name="/decoder/mid_block/attentions.0/value/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/value/MatMul, onnx::MatMul_945"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/value/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="106" name="/decoder/mid_block/attentions.0/value/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/value/Add"/>
+			</rt_info>
+			<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>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/value/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="107" name="/decoder/mid_block/attentions.0/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="10009720" size="32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Constant_5"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_5_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="108" name="/decoder/mid_block/attentions.0/Reshape_5" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Reshape_5"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_5_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="109" name="Constant_11748" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="10009752" size="32"/>
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="110" name="/decoder/mid_block/attentions.0/Transpose_3" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Transpose_3"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="/decoder/mid_block/attentions.0/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="111" name="/decoder/mid_block/attentions.0/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="10009784" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Constant_6"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="112" name="/decoder/mid_block/attentions.0/Reshape_6" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Reshape_6"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_6_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="113" name="/decoder/mid_block/attentions.0/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/MatMul_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="114" name="/decoder/mid_block/attentions.0/Constant_9" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11060434" size="32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Constant_9"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_9_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="115" name="/decoder/mid_block/attentions.0/Reshape_7" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Reshape_7"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_7_output_0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="116" name="Constant_11755" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11060466" size="32"/>
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="117" name="/decoder/mid_block/attentions.0/Transpose_5" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Transpose_5"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Transpose_5_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="118" name="/decoder/mid_block/attentions.0/Constant_10" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="10009784" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Constant_10"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_10_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="119" name="/decoder/mid_block/attentions.0/Reshape_8" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Reshape_8"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_8_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="120" name="Constant_11767_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512" offset="11060498" size="524288"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="121" name="Constant_11767" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/proj_attn/MatMul, onnx::MatMul_985"/>
+			</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="122" name="/decoder/mid_block/attentions.0/proj_attn/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/proj_attn/MatMul, onnx::MatMul_985"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/proj_attn/MatMul_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="123" name="/decoder/mid_block/attentions.0/proj_attn/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/proj_attn/Add"/>
+			</rt_info>
+			<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>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/proj_attn/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="124" name="Constant_768" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="9485408" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_768"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="125" name="/decoder/mid_block/attentions.0/Transpose_6" type="Transpose" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Transpose_6"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Transpose_6_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="126" name="/decoder/mid_block/attentions.0/Constant_11" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11584786" size="32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Constant_11"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_11_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="127" name="/decoder/mid_block/attentions.0/Reshape_9" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Reshape_9"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_9_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="128" name="/decoder/mid_block/attentions.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Add_1, /decoder/mid_block/attentions.0/Div"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="2" precision="FP32" names="/decoder/mid_block/attentions.0/Add_1_output_0,/decoder/mid_block/attentions.0/Div_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="129" name="/decoder/mid_block/resnets.1/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/norm1/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/mid_block/resnets.1/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="130" name="/decoder/mid_block/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/norm1/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="131" name="Constant_789" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_789"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="132" name="MVN_790" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/norm1/InstanceNormalization, Concat_809, Concat_854, MVN_790, Multiply_837, Reshape_810, Reshape_855"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="133" name="/decoder/mid_block/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/norm1/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/mid_block/resnets.1/norm1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="134" name="/decoder/mid_block/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/norm1/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="135" name="Constant_11893_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="11584818" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="136" name="Constant_11893" 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>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="137" name="/decoder/mid_block/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/norm1/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="2" precision="FP32" names="/decoder/mid_block/resnets.1/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="138" name="Constant_11894_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="11585842" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="139" name="Constant_11894" 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>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="140" name="/decoder/mid_block/resnets.1/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/norm1/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="2" precision="FP32" names="/decoder/mid_block/resnets.1/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="141" name="/decoder/mid_block/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/nonlinearity/Mul, /decoder/mid_block/resnets.1/nonlinearity/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/mid_block/resnets.1/nonlinearity/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="142" name="vae.decoder.mid_block.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="11586866" size="4718592"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="143" name="vae.decoder.mid_block.resnets.1.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.mid_block.resnets.1.conv1.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.mid_block.resnets.1.conv1.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="144" name="/decoder/mid_block/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/conv1/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="145" name="Reshape_914_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="16305458" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="146" name="Reshape_914" 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>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="147" name="/decoder/mid_block/resnets.1/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/conv1/Conv, Concat_913, Reshape_914"/>
+			</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>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="148" name="/decoder/mid_block/resnets.1/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/norm2/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/mid_block/resnets.1/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="149" name="/decoder/mid_block/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/norm2/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="150" name="Constant_951" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_951"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="151" name="MVN_952" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/norm2/InstanceNormalization, Concat_1016, Concat_971, MVN_952, Multiply_999, Reshape_1017, Reshape_972"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="152" name="/decoder/mid_block/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/norm2/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/mid_block/resnets.1/norm2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="153" name="/decoder/mid_block/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/norm2/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="154" name="Constant_11895_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="16306482" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="155" name="Constant_11895" 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>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="156" name="/decoder/mid_block/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/norm2/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="2" precision="FP32" names="/decoder/mid_block/resnets.1/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="157" name="Constant_11896_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="16307506" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="158" name="Constant_11896" 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>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="159" name="/decoder/mid_block/resnets.1/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/norm2/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="2" precision="FP32" names="/decoder/mid_block/resnets.1/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="160" name="/decoder/mid_block/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/nonlinearity_1/Mul, /decoder/mid_block/resnets.1/nonlinearity_1/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/mid_block/resnets.1/nonlinearity_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="161" name="vae.decoder.mid_block.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="16308530" size="4718592"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="162" name="vae.decoder.mid_block.resnets.1.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.mid_block.resnets.1.conv2.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.mid_block.resnets.1.conv2.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="163" name="/decoder/mid_block/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/conv2/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="164" name="Reshape_1076_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="21027122" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="165" name="Reshape_1076" 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>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="166" name="/decoder/mid_block/resnets.1/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/conv2/Conv, Concat_1075, Reshape_1076"/>
+			</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>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="167" name="/decoder/mid_block/resnets.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.1/Add, /decoder/mid_block/resnets.1/Div"/>
+			</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>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/Add_output_0,/decoder/mid_block/resnets.1/Div_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="168" name="/decoder/up_blocks.0/resnets.0/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/norm1/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/up_blocks.0/resnets.0/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="169" name="/decoder/up_blocks.0/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/norm1/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.0/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="170" name="Constant_1116" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_1116"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="171" name="MVN_1117" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/norm1/InstanceNormalization, Concat_1136, Concat_1181, MVN_1117, Multiply_1164, Reshape_1137, Reshape_1182"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.0/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="172" name="/decoder/up_blocks.0/resnets.0/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/norm1/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/up_blocks.0/resnets.0/norm1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="173" name="/decoder/up_blocks.0/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/norm1/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.0/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="174" name="Constant_11897_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="21028146" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="175" name="Constant_11897" 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>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="176" name="/decoder/up_blocks.0/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/norm1/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="2" precision="FP32" names="/decoder/up_blocks.0/resnets.0/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="177" name="Constant_11898_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="21029170" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="178" name="Constant_11898" 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>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="179" name="/decoder/up_blocks.0/resnets.0/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/norm1/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="2" precision="FP32" names="/decoder/up_blocks.0/resnets.0/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="180" name="/decoder/up_blocks.0/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/nonlinearity/Mul, /decoder/up_blocks.0/resnets.0/nonlinearity/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/up_blocks.0/resnets.0/nonlinearity/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="181" name="vae.decoder.up_blocks.0.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="21030194" size="4718592"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="182" name="vae.decoder.up_blocks.0.resnets.0.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.0.resnets.0.conv1.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.0.resnets.0.conv1.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="183" name="/decoder/up_blocks.0/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/conv1/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="184" name="Reshape_1241_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="25748786" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="185" name="Reshape_1241" 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>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="186" name="/decoder/up_blocks.0/resnets.0/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/conv1/Conv, Concat_1240, Reshape_1241"/>
+			</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>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.0/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="187" name="/decoder/up_blocks.0/resnets.0/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/norm2/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/up_blocks.0/resnets.0/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="188" name="/decoder/up_blocks.0/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/norm2/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.0/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="189" name="Constant_1278" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_1278"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="190" name="MVN_1279" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/norm2/InstanceNormalization, Concat_1298, Concat_1343, MVN_1279, Multiply_1326, Reshape_1299, Reshape_1344"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.0/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="191" name="/decoder/up_blocks.0/resnets.0/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/norm2/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/up_blocks.0/resnets.0/norm2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="192" name="/decoder/up_blocks.0/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/norm2/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.0/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="193" name="Constant_11899_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="25749810" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="194" name="Constant_11899" 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>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="195" name="/decoder/up_blocks.0/resnets.0/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/norm2/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="2" precision="FP32" names="/decoder/up_blocks.0/resnets.0/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="196" name="Constant_11900_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="25750834" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="197" name="Constant_11900" 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>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="198" name="/decoder/up_blocks.0/resnets.0/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/norm2/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="2" precision="FP32" names="/decoder/up_blocks.0/resnets.0/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="199" name="/decoder/up_blocks.0/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/nonlinearity_1/Mul, /decoder/up_blocks.0/resnets.0/nonlinearity_1/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/up_blocks.0/resnets.0/nonlinearity_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="200" name="vae.decoder.up_blocks.0.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="25751858" size="4718592"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="201" name="vae.decoder.up_blocks.0.resnets.0.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.0.resnets.0.conv2.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.0.resnets.0.conv2.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="202" name="/decoder/up_blocks.0/resnets.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/conv2/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="203" name="Reshape_1403_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="30470450" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="204" name="Reshape_1403" 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>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="205" name="/decoder/up_blocks.0/resnets.0/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/conv2/Conv, Concat_1402, Reshape_1403"/>
+			</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>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.0/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="206" name="/decoder/up_blocks.0/resnets.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.0/Add, /decoder/up_blocks.0/resnets.0/Div"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="2" precision="FP32" names="/decoder/up_blocks.0/resnets.0/Add_output_0,/decoder/up_blocks.0/resnets.0/Div_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="207" name="/decoder/up_blocks.0/resnets.1/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/norm1/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/up_blocks.0/resnets.1/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="208" name="/decoder/up_blocks.0/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/norm1/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.1/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="209" name="Constant_1443" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_1443"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="210" name="MVN_1444" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/norm1/InstanceNormalization, Concat_1463, Concat_1508, MVN_1444, Multiply_1491, Reshape_1464, Reshape_1509"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.1/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="211" name="/decoder/up_blocks.0/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/norm1/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/up_blocks.0/resnets.1/norm1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="212" name="/decoder/up_blocks.0/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/norm1/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.1/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="213" name="Constant_11901_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="30471474" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="214" name="Constant_11901" 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>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="215" name="/decoder/up_blocks.0/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/norm1/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="2" precision="FP32" names="/decoder/up_blocks.0/resnets.1/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="216" name="Constant_11902_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="30472498" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="217" name="Constant_11902" 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>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="218" name="/decoder/up_blocks.0/resnets.1/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/norm1/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="2" precision="FP32" names="/decoder/up_blocks.0/resnets.1/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="219" name="/decoder/up_blocks.0/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/nonlinearity/Mul, /decoder/up_blocks.0/resnets.1/nonlinearity/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/up_blocks.0/resnets.1/nonlinearity/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="220" name="vae.decoder.up_blocks.0.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="30473522" size="4718592"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="221" name="vae.decoder.up_blocks.0.resnets.1.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.0.resnets.1.conv1.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.0.resnets.1.conv1.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="222" name="/decoder/up_blocks.0/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/conv1/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="223" name="Reshape_1568_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="35192114" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="224" name="Reshape_1568" 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>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="225" name="/decoder/up_blocks.0/resnets.1/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/conv1/Conv, Concat_1567, Reshape_1568"/>
+			</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>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.1/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="226" name="/decoder/up_blocks.0/resnets.1/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/norm2/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/up_blocks.0/resnets.1/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="227" name="/decoder/up_blocks.0/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/norm2/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.1/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="228" name="Constant_1605" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_1605"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="229" name="MVN_1606" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/norm2/InstanceNormalization, Concat_1625, Concat_1670, MVN_1606, Multiply_1653, Reshape_1626, Reshape_1671"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.1/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="230" name="/decoder/up_blocks.0/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/norm2/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/up_blocks.0/resnets.1/norm2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="231" name="/decoder/up_blocks.0/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/norm2/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.1/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="232" name="Constant_11903_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="35193138" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="233" name="Constant_11903" 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>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="234" name="/decoder/up_blocks.0/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/norm2/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="2" precision="FP32" names="/decoder/up_blocks.0/resnets.1/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="235" name="Constant_11904_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="35194162" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="236" name="Constant_11904" 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>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="237" name="/decoder/up_blocks.0/resnets.1/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/norm2/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="2" precision="FP32" names="/decoder/up_blocks.0/resnets.1/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="238" name="/decoder/up_blocks.0/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/nonlinearity_1/Mul, /decoder/up_blocks.0/resnets.1/nonlinearity_1/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/up_blocks.0/resnets.1/nonlinearity_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="239" name="vae.decoder.up_blocks.0.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="35195186" size="4718592"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="240" name="vae.decoder.up_blocks.0.resnets.1.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.0.resnets.1.conv2.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.0.resnets.1.conv2.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="241" name="/decoder/up_blocks.0/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/conv2/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="242" name="Reshape_1730_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="39913778" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="243" name="Reshape_1730" 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>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="244" name="/decoder/up_blocks.0/resnets.1/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/conv2/Conv, Concat_1729, Reshape_1730"/>
+			</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>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.1/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="245" name="/decoder/up_blocks.0/resnets.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.1/Add, /decoder/up_blocks.0/resnets.1/Div"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="2" precision="FP32" names="/decoder/up_blocks.0/resnets.1/Add_output_0,/decoder/up_blocks.0/resnets.1/Div_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="246" name="/decoder/up_blocks.0/resnets.2/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/norm1/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/up_blocks.0/resnets.2/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="247" name="/decoder/up_blocks.0/resnets.2/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/norm1/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.2/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="248" name="Constant_1770" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_1770"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="249" name="MVN_1771" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/norm1/InstanceNormalization, Concat_1790, Concat_1835, MVN_1771, Multiply_1818, Reshape_1791, Reshape_1836"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.2/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="250" name="/decoder/up_blocks.0/resnets.2/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/norm1/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/up_blocks.0/resnets.2/norm1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="251" name="/decoder/up_blocks.0/resnets.2/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/norm1/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.2/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="252" name="Constant_11905_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="39914802" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="253" name="Constant_11905" 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>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="254" name="/decoder/up_blocks.0/resnets.2/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/norm1/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="2" precision="FP32" names="/decoder/up_blocks.0/resnets.2/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="255" name="Constant_11906_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="39915826" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="256" name="Constant_11906" 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>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="257" name="/decoder/up_blocks.0/resnets.2/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/norm1/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="2" precision="FP32" names="/decoder/up_blocks.0/resnets.2/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="258" name="/decoder/up_blocks.0/resnets.2/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/nonlinearity/Mul, /decoder/up_blocks.0/resnets.2/nonlinearity/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/up_blocks.0/resnets.2/nonlinearity/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="259" name="vae.decoder.up_blocks.0.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="39916850" size="4718592"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="260" name="vae.decoder.up_blocks.0.resnets.2.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.0.resnets.2.conv1.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.0.resnets.2.conv1.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="261" name="/decoder/up_blocks.0/resnets.2/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/conv1/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="262" name="Reshape_1895_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="44635442" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="263" name="Reshape_1895" 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>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="264" name="/decoder/up_blocks.0/resnets.2/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/conv1/Conv, Concat_1894, Reshape_1895"/>
+			</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>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.2/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="265" name="/decoder/up_blocks.0/resnets.2/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/norm2/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/up_blocks.0/resnets.2/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="266" name="/decoder/up_blocks.0/resnets.2/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/norm2/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.2/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="267" name="Constant_1932" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_1932"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="268" name="MVN_1933" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/norm2/InstanceNormalization, Concat_1952, Concat_1997, MVN_1933, Multiply_1980, Reshape_1953, Reshape_1998"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.2/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="269" name="/decoder/up_blocks.0/resnets.2/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/norm2/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/up_blocks.0/resnets.2/norm2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="270" name="/decoder/up_blocks.0/resnets.2/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/norm2/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.2/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="271" name="Constant_11907_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="44636466" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="272" name="Constant_11907" 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>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="273" name="/decoder/up_blocks.0/resnets.2/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/norm2/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="2" precision="FP32" names="/decoder/up_blocks.0/resnets.2/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="274" name="Constant_11908_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="44637490" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="275" name="Constant_11908" 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>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="276" name="/decoder/up_blocks.0/resnets.2/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/norm2/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="2" precision="FP32" names="/decoder/up_blocks.0/resnets.2/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="277" name="/decoder/up_blocks.0/resnets.2/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/nonlinearity_1/Mul, /decoder/up_blocks.0/resnets.2/nonlinearity_1/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/up_blocks.0/resnets.2/nonlinearity_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="278" name="vae.decoder.up_blocks.0.resnets.2.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="44638514" size="4718592"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="279" name="vae.decoder.up_blocks.0.resnets.2.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.0.resnets.2.conv2.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.0.resnets.2.conv2.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="280" name="/decoder/up_blocks.0/resnets.2/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/conv2/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="281" name="Reshape_2057_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="49357106" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="282" name="Reshape_2057" 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>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="283" name="/decoder/up_blocks.0/resnets.2/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/conv2/Conv, Concat_2056, Reshape_2057"/>
+			</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>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.2/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="284" name="/decoder/up_blocks.0/resnets.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/resnets.2/Add, /decoder/up_blocks.0/resnets.2/Div"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<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="2" precision="FP32" names="/decoder/up_blocks.0/resnets.2/Add_output_0,/decoder/up_blocks.0/resnets.2/Div_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="285" name="ShapeOf_2090" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="ShapeOf_2090"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="286" name="Convert_2091" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Convert_2091"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="287" name="/decoder/up_blocks.0/upsamplers.0/Constant" type="Const" version="opset1">
+			<data element_type="f32" shape="4" offset="49358130" size="16"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/upsamplers.0/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="/decoder/up_blocks.0/upsamplers.0/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="288" name="Multiply_2092" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Multiply_2092"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="289" name="Convert_2093" type="Convert" version="opset1">
+			<data destination_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Convert_2093"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="290" name="/decoder/up_blocks.0/upsamplers.0/Resize" type="Interpolate" version="opset4">
+			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/upsamplers.0/Resize"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="/decoder/up_blocks.0/upsamplers.0/Resize_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="291" name="vae.decoder.up_blocks.0.upsamplers.0.conv.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="49358146" size="4718592"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="292" name="vae.decoder.up_blocks.0.upsamplers.0.conv.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.0.upsamplers.0.conv.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.0.upsamplers.0.conv.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="293" name="/decoder/up_blocks.0/upsamplers.0/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/upsamplers.0/conv/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="294" name="Reshape_2115_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="54076738" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="295" name="Reshape_2115" 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>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="296" name="/decoder/up_blocks.0/upsamplers.0/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.0/upsamplers.0/conv/Conv, Concat_2114, Reshape_2115"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/upsamplers.0/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="297" name="/decoder/up_blocks.1/resnets.0/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/norm1/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/up_blocks.1/resnets.0/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="298" name="/decoder/up_blocks.1/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/norm1/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.0/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>262144</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="299" name="Constant_2152" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_2152"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="300" name="MVN_2153" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/norm1/InstanceNormalization, Concat_2172, Concat_2217, MVN_2153, Multiply_2200, Reshape_2173, Reshape_2218"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>262144</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.0/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>262144</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="301" name="/decoder/up_blocks.1/resnets.0/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/norm1/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/up_blocks.1/resnets.0/norm1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="302" name="/decoder/up_blocks.1/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/norm1/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>262144</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.0/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="303" name="Constant_11909_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="54077762" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="304" name="Constant_11909" 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>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="305" name="/decoder/up_blocks.1/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/norm1/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.0/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="306" name="Constant_11910_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="54078786" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="307" name="Constant_11910" 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>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="308" name="/decoder/up_blocks.1/resnets.0/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/norm1/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.0/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="309" name="/decoder/up_blocks.1/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/nonlinearity/Mul, /decoder/up_blocks.1/resnets.0/nonlinearity/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/up_blocks.1/resnets.0/nonlinearity/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="310" name="vae.decoder.up_blocks.1.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="54079810" size="4718592"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="311" name="vae.decoder.up_blocks.1.resnets.0.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.1.resnets.0.conv1.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.1.resnets.0.conv1.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="312" name="/decoder/up_blocks.1/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/conv1/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="313" name="Reshape_2277_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="58798402" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="314" name="Reshape_2277" 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>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="315" name="/decoder/up_blocks.1/resnets.0/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/conv1/Conv, Concat_2276, Reshape_2277"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.0/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="316" name="/decoder/up_blocks.1/resnets.0/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/norm2/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/up_blocks.1/resnets.0/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="317" name="/decoder/up_blocks.1/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/norm2/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.0/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>262144</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="318" name="Constant_2314" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_2314"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="319" name="MVN_2315" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/norm2/InstanceNormalization, Concat_2334, Concat_2379, MVN_2315, Multiply_2362, Reshape_2335, Reshape_2380"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>262144</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.0/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>262144</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="320" name="/decoder/up_blocks.1/resnets.0/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/norm2/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/up_blocks.1/resnets.0/norm2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="321" name="/decoder/up_blocks.1/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/norm2/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>262144</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.0/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="322" name="Constant_11911_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="58799426" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="323" name="Constant_11911" 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>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="324" name="/decoder/up_blocks.1/resnets.0/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/norm2/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.0/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="325" name="Constant_11912_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="58800450" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="326" name="Constant_11912" 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>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="327" name="/decoder/up_blocks.1/resnets.0/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/norm2/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.0/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="328" name="/decoder/up_blocks.1/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/nonlinearity_1/Mul, /decoder/up_blocks.1/resnets.0/nonlinearity_1/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/up_blocks.1/resnets.0/nonlinearity_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="329" name="vae.decoder.up_blocks.1.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="58801474" size="4718592"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="330" name="vae.decoder.up_blocks.1.resnets.0.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.1.resnets.0.conv2.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.1.resnets.0.conv2.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="331" name="/decoder/up_blocks.1/resnets.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/conv2/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="332" name="Reshape_2439_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="63520066" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="333" name="Reshape_2439" 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>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="334" name="/decoder/up_blocks.1/resnets.0/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/conv2/Conv, Concat_2438, Reshape_2439"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.0/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="335" name="/decoder/up_blocks.1/resnets.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.0/Add, /decoder/up_blocks.1/resnets.0/Div"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.0/Add_output_0,/decoder/up_blocks.1/resnets.0/Div_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="336" name="/decoder/up_blocks.1/resnets.1/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/norm1/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/up_blocks.1/resnets.1/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="337" name="/decoder/up_blocks.1/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/norm1/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.1/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>262144</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="338" name="Constant_2479" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_2479"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="339" name="MVN_2480" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/norm1/InstanceNormalization, Concat_2499, Concat_2544, MVN_2480, Multiply_2527, Reshape_2500, Reshape_2545"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>262144</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.1/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>262144</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="340" name="/decoder/up_blocks.1/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/norm1/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/up_blocks.1/resnets.1/norm1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="341" name="/decoder/up_blocks.1/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/norm1/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>262144</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.1/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="342" name="Constant_11913_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="63521090" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="343" name="Constant_11913" 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>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="344" name="/decoder/up_blocks.1/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/norm1/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.1/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="345" name="Constant_11914_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="63522114" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="346" name="Constant_11914" 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>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="347" name="/decoder/up_blocks.1/resnets.1/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/norm1/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.1/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="348" name="/decoder/up_blocks.1/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/nonlinearity/Mul, /decoder/up_blocks.1/resnets.1/nonlinearity/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/up_blocks.1/resnets.1/nonlinearity/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="349" name="vae.decoder.up_blocks.1.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="63523138" size="4718592"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="350" name="vae.decoder.up_blocks.1.resnets.1.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.1.resnets.1.conv1.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.1.resnets.1.conv1.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="351" name="/decoder/up_blocks.1/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/conv1/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="352" name="Reshape_2604_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="68241730" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="353" name="Reshape_2604" 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>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="354" name="/decoder/up_blocks.1/resnets.1/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/conv1/Conv, Concat_2603, Reshape_2604"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.1/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="355" name="/decoder/up_blocks.1/resnets.1/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/norm2/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/up_blocks.1/resnets.1/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="356" name="/decoder/up_blocks.1/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/norm2/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.1/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>262144</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="357" name="Constant_2641" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_2641"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="358" name="MVN_2642" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/norm2/InstanceNormalization, Concat_2661, Concat_2706, MVN_2642, Multiply_2689, Reshape_2662, Reshape_2707"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>262144</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.1/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>262144</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="359" name="/decoder/up_blocks.1/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/norm2/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/up_blocks.1/resnets.1/norm2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="360" name="/decoder/up_blocks.1/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/norm2/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>262144</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.1/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="361" name="Constant_11915_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="68242754" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="362" name="Constant_11915" 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>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="363" name="/decoder/up_blocks.1/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/norm2/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.1/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="364" name="Constant_11916_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="68243778" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="365" name="Constant_11916" 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>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="366" name="/decoder/up_blocks.1/resnets.1/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/norm2/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.1/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="367" name="/decoder/up_blocks.1/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/nonlinearity_1/Mul, /decoder/up_blocks.1/resnets.1/nonlinearity_1/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/up_blocks.1/resnets.1/nonlinearity_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="368" name="vae.decoder.up_blocks.1.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="68244802" size="4718592"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="369" name="vae.decoder.up_blocks.1.resnets.1.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.1.resnets.1.conv2.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.1.resnets.1.conv2.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="370" name="/decoder/up_blocks.1/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/conv2/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="371" name="Reshape_2766_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="72963394" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="372" name="Reshape_2766" 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>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="373" name="/decoder/up_blocks.1/resnets.1/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/conv2/Conv, Concat_2765, Reshape_2766"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.1/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="374" name="/decoder/up_blocks.1/resnets.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.1/Add, /decoder/up_blocks.1/resnets.1/Div"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.1/Add_output_0,/decoder/up_blocks.1/resnets.1/Div_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="375" name="/decoder/up_blocks.1/resnets.2/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/norm1/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/up_blocks.1/resnets.2/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="376" name="/decoder/up_blocks.1/resnets.2/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/norm1/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.2/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>262144</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="377" name="Constant_2806" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_2806"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="378" name="MVN_2807" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/norm1/InstanceNormalization, Concat_2826, Concat_2871, MVN_2807, Multiply_2854, Reshape_2827, Reshape_2872"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>262144</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.2/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>262144</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="379" name="/decoder/up_blocks.1/resnets.2/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/norm1/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/up_blocks.1/resnets.2/norm1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="380" name="/decoder/up_blocks.1/resnets.2/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/norm1/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>262144</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.2/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="381" name="Constant_11917_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="72964418" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="382" name="Constant_11917" 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>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="383" name="/decoder/up_blocks.1/resnets.2/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/norm1/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.2/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="384" name="Constant_11918_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="72965442" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="385" name="Constant_11918" 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>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="386" name="/decoder/up_blocks.1/resnets.2/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/norm1/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.2/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="387" name="/decoder/up_blocks.1/resnets.2/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/nonlinearity/Mul, /decoder/up_blocks.1/resnets.2/nonlinearity/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/up_blocks.1/resnets.2/nonlinearity/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="388" name="vae.decoder.up_blocks.1.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="72966466" size="4718592"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="389" name="vae.decoder.up_blocks.1.resnets.2.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.1.resnets.2.conv1.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.1.resnets.2.conv1.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="390" name="/decoder/up_blocks.1/resnets.2/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/conv1/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="391" name="Reshape_2931_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="77685058" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="392" name="Reshape_2931" 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>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="393" name="/decoder/up_blocks.1/resnets.2/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/conv1/Conv, Concat_2930, Reshape_2931"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.2/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="394" name="/decoder/up_blocks.1/resnets.2/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/norm2/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/up_blocks.1/resnets.2/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="395" name="/decoder/up_blocks.1/resnets.2/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/norm2/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.2/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>262144</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="396" name="Constant_2968" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_2968"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="397" name="MVN_2969" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/norm2/InstanceNormalization, Concat_2988, Concat_3033, MVN_2969, Multiply_3016, Reshape_2989, Reshape_3034"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>262144</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.2/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>262144</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="398" name="/decoder/up_blocks.1/resnets.2/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/norm2/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/up_blocks.1/resnets.2/norm2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="399" name="/decoder/up_blocks.1/resnets.2/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/norm2/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>262144</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.2/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="400" name="Constant_11919_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="77686082" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="401" name="Constant_11919" 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>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="402" name="/decoder/up_blocks.1/resnets.2/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/norm2/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.2/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="403" name="Constant_11920_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="77687106" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="404" name="Constant_11920" 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>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="405" name="/decoder/up_blocks.1/resnets.2/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/norm2/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.2/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="406" name="/decoder/up_blocks.1/resnets.2/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/nonlinearity_1/Mul, /decoder/up_blocks.1/resnets.2/nonlinearity_1/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/up_blocks.1/resnets.2/nonlinearity_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="407" name="vae.decoder.up_blocks.1.resnets.2.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="77688130" size="4718592"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="408" name="vae.decoder.up_blocks.1.resnets.2.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.1.resnets.2.conv2.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.1.resnets.2.conv2.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="409" name="/decoder/up_blocks.1/resnets.2/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/conv2/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="410" name="Reshape_3093_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="82406722" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="411" name="Reshape_3093" 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>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="412" name="/decoder/up_blocks.1/resnets.2/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/conv2/Conv, Concat_3092, Reshape_3093"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.2/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="413" name="/decoder/up_blocks.1/resnets.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/resnets.2/Add, /decoder/up_blocks.1/resnets.2/Div"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.2/Add_output_0,/decoder/up_blocks.1/resnets.2/Div_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="414" name="ShapeOf_3126" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="ShapeOf_3126"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="415" name="Convert_3127" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Convert_3127"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="416" name="/decoder/up_blocks.1/upsamplers.0/Constant" type="Const" version="opset1">
+			<data element_type="f32" shape="4" offset="49358130" size="16"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/upsamplers.0/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="/decoder/up_blocks.1/upsamplers.0/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="417" name="Multiply_3128" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Multiply_3128"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="418" name="Convert_3129" type="Convert" version="opset1">
+			<data destination_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Convert_3129"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="419" name="/decoder/up_blocks.1/upsamplers.0/Resize" type="Interpolate" version="opset4">
+			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/upsamplers.0/Resize"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="/decoder/up_blocks.1/upsamplers.0/Resize_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="420" name="vae.decoder.up_blocks.1.upsamplers.0.conv.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="82407746" size="4718592"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="421" name="vae.decoder.up_blocks.1.upsamplers.0.conv.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.1.upsamplers.0.conv.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.1.upsamplers.0.conv.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="422" name="/decoder/up_blocks.1/upsamplers.0/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/upsamplers.0/conv/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="423" name="Reshape_3151_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="87126338" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="424" name="Reshape_3151" 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>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="425" name="/decoder/up_blocks.1/upsamplers.0/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.1/upsamplers.0/conv/Conv, Concat_3150, Reshape_3151"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/upsamplers.0/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="426" name="vae.decoder.up_blocks.2.resnets.0.conv_shortcut.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 512, 1, 1" offset="87127362" size="262144"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="427" name="vae.decoder.up_blocks.2.resnets.0.conv_shortcut.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.2.resnets.0.conv_shortcut.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.2.resnets.0.conv_shortcut.weight">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="428" name="/decoder/up_blocks.2/resnets.0/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/conv_shortcut/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="429" name="Reshape_3523_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="87389506" size="512"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="430" name="Reshape_3523" 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>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="431" name="/decoder/up_blocks.2/resnets.0/conv_shortcut/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/conv_shortcut/Conv, Concat_3522, Reshape_3523"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.0/conv_shortcut/Conv_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="432" name="/decoder/up_blocks.2/resnets.0/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/norm1/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/up_blocks.2/resnets.0/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="433" name="/decoder/up_blocks.2/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/norm1/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.0/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1048576</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="434" name="Constant_3188" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_3188"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="435" name="MVN_3189" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/norm1/InstanceNormalization, Concat_3208, Concat_3253, MVN_3189, Multiply_3236, Reshape_3209, Reshape_3254"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1048576</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.0/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1048576</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="436" name="/decoder/up_blocks.2/resnets.0/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/norm1/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/up_blocks.2/resnets.0/norm1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="437" name="/decoder/up_blocks.2/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/norm1/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1048576</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.0/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="438" name="Constant_11921_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="87390018" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="439" name="Constant_11921" 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>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="440" name="/decoder/up_blocks.2/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/norm1/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.0/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="441" name="Constant_11922_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="87391042" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="442" name="Constant_11922" 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>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="443" name="/decoder/up_blocks.2/resnets.0/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/norm1/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.0/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="444" name="/decoder/up_blocks.2/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/nonlinearity/Mul, /decoder/up_blocks.2/resnets.0/nonlinearity/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/up_blocks.2/resnets.0/nonlinearity/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="445" name="vae.decoder.up_blocks.2.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 512, 3, 3" offset="87392066" size="2359296"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="446" name="vae.decoder.up_blocks.2.resnets.0.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.2.resnets.0.conv1.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.2.resnets.0.conv1.weight">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="447" name="/decoder/up_blocks.2/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/conv1/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="448" name="Reshape_3313_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="89751362" size="512"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="449" name="Reshape_3313" 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>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="450" name="/decoder/up_blocks.2/resnets.0/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/conv1/Conv, Concat_3312, Reshape_3313"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.0/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="451" name="/decoder/up_blocks.2/resnets.0/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/norm2/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/up_blocks.2/resnets.0/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="452" name="/decoder/up_blocks.2/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/norm2/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.0/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>524288</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="453" name="Constant_3350" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_3350"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="454" name="MVN_3351" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/norm2/InstanceNormalization, Concat_3370, Concat_3415, MVN_3351, Multiply_3398, Reshape_3371, Reshape_3416"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>524288</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.0/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>524288</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="455" name="/decoder/up_blocks.2/resnets.0/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/norm2/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/up_blocks.2/resnets.0/norm2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="456" name="/decoder/up_blocks.2/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/norm2/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>524288</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.0/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="457" name="Constant_11923_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="89751874" size="512"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="458" name="Constant_11923" 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>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="459" name="/decoder/up_blocks.2/resnets.0/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/norm2/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.0/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="460" name="Constant_11924_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="89752386" size="512"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="461" name="Constant_11924" 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>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="462" name="/decoder/up_blocks.2/resnets.0/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/norm2/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.0/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="463" name="/decoder/up_blocks.2/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/nonlinearity_1/Mul, /decoder/up_blocks.2/resnets.0/nonlinearity_1/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/up_blocks.2/resnets.0/nonlinearity_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="464" name="vae.decoder.up_blocks.2.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 256, 3, 3" offset="89752898" size="1179648"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="465" name="vae.decoder.up_blocks.2.resnets.0.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.2.resnets.0.conv2.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.2.resnets.0.conv2.weight">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="466" name="/decoder/up_blocks.2/resnets.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/conv2/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="467" name="Reshape_3475_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="90932546" size="512"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="468" name="Reshape_3475" 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>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="469" name="/decoder/up_blocks.2/resnets.0/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/conv2/Conv, Concat_3474, Reshape_3475"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.0/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="470" name="/decoder/up_blocks.2/resnets.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.0/Add, /decoder/up_blocks.2/resnets.0/Div"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.0/Add_output_0,/decoder/up_blocks.2/resnets.0/Div_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="471" name="/decoder/up_blocks.2/resnets.1/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/norm1/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/up_blocks.2/resnets.1/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="472" name="/decoder/up_blocks.2/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/norm1/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.1/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>524288</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="473" name="Constant_3563" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_3563"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="474" name="MVN_3564" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/norm1/InstanceNormalization, Concat_3583, Concat_3628, MVN_3564, Multiply_3611, Reshape_3584, Reshape_3629"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>524288</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.1/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>524288</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="475" name="/decoder/up_blocks.2/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/norm1/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/up_blocks.2/resnets.1/norm1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="476" name="/decoder/up_blocks.2/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/norm1/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>524288</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.1/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="477" name="Constant_11925_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="90933058" size="512"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="478" name="Constant_11925" 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>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="479" name="/decoder/up_blocks.2/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/norm1/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.1/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="480" name="Constant_11926_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="90933570" size="512"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="481" name="Constant_11926" 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>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="482" name="/decoder/up_blocks.2/resnets.1/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/norm1/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.1/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="483" name="/decoder/up_blocks.2/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/nonlinearity/Mul, /decoder/up_blocks.2/resnets.1/nonlinearity/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/up_blocks.2/resnets.1/nonlinearity/Mul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="484" name="vae.decoder.up_blocks.2.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 256, 3, 3" offset="90934082" size="1179648"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="485" name="vae.decoder.up_blocks.2.resnets.1.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.2.resnets.1.conv1.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.2.resnets.1.conv1.weight">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="486" name="/decoder/up_blocks.2/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/conv1/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="487" name="Reshape_3688_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="92113730" size="512"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="488" name="Reshape_3688" 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>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="489" name="/decoder/up_blocks.2/resnets.1/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/conv1/Conv, Concat_3687, Reshape_3688"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.1/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="490" name="/decoder/up_blocks.2/resnets.1/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/norm2/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/up_blocks.2/resnets.1/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="491" name="/decoder/up_blocks.2/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/norm2/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.1/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>524288</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="492" name="Constant_3725" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_3725"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="493" name="MVN_3726" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/norm2/InstanceNormalization, Concat_3745, Concat_3790, MVN_3726, Multiply_3773, Reshape_3746, Reshape_3791"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>524288</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.1/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>524288</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="494" name="/decoder/up_blocks.2/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/norm2/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/up_blocks.2/resnets.1/norm2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="495" name="/decoder/up_blocks.2/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/norm2/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>524288</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.1/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="496" name="Constant_11927_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="92114242" size="512"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="497" name="Constant_11927" 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>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="498" name="/decoder/up_blocks.2/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/norm2/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.1/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="499" name="Constant_11928_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="92114754" size="512"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="500" name="Constant_11928" 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>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="501" name="/decoder/up_blocks.2/resnets.1/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/norm2/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.1/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="502" name="/decoder/up_blocks.2/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/nonlinearity_1/Mul, /decoder/up_blocks.2/resnets.1/nonlinearity_1/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/up_blocks.2/resnets.1/nonlinearity_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="503" name="vae.decoder.up_blocks.2.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 256, 3, 3" offset="92115266" size="1179648"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="504" name="vae.decoder.up_blocks.2.resnets.1.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.2.resnets.1.conv2.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.2.resnets.1.conv2.weight">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="505" name="/decoder/up_blocks.2/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/conv2/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="506" name="Reshape_3850_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="93294914" size="512"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="507" name="Reshape_3850" 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>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="508" name="/decoder/up_blocks.2/resnets.1/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/conv2/Conv, Concat_3849, Reshape_3850"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.1/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="509" name="/decoder/up_blocks.2/resnets.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.1/Add, /decoder/up_blocks.2/resnets.1/Div"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.1/Add_output_0,/decoder/up_blocks.2/resnets.1/Div_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="510" name="/decoder/up_blocks.2/resnets.2/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/norm1/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/up_blocks.2/resnets.2/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="511" name="/decoder/up_blocks.2/resnets.2/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/norm1/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.2/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>524288</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="512" name="Constant_3890" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_3890"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="513" name="MVN_3891" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/norm1/InstanceNormalization, Concat_3910, Concat_3955, MVN_3891, Multiply_3938, Reshape_3911, Reshape_3956"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>524288</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.2/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>524288</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="514" name="/decoder/up_blocks.2/resnets.2/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/norm1/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/up_blocks.2/resnets.2/norm1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="515" name="/decoder/up_blocks.2/resnets.2/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/norm1/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>524288</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.2/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="516" name="Constant_11929_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="93295426" size="512"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="517" name="Constant_11929" 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>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="518" name="/decoder/up_blocks.2/resnets.2/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/norm1/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.2/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="519" name="Constant_11930_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="93295938" size="512"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="520" name="Constant_11930" 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>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="521" name="/decoder/up_blocks.2/resnets.2/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/norm1/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.2/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="522" name="/decoder/up_blocks.2/resnets.2/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/nonlinearity/Mul, /decoder/up_blocks.2/resnets.2/nonlinearity/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/up_blocks.2/resnets.2/nonlinearity/Mul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="523" name="vae.decoder.up_blocks.2.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 256, 3, 3" offset="93296450" size="1179648"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="524" name="vae.decoder.up_blocks.2.resnets.2.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.2.resnets.2.conv1.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.2.resnets.2.conv1.weight">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="525" name="/decoder/up_blocks.2/resnets.2/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/conv1/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="526" name="Reshape_4015_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="94476098" size="512"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="527" name="Reshape_4015" 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>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="528" name="/decoder/up_blocks.2/resnets.2/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/conv1/Conv, Concat_4014, Reshape_4015"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.2/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="529" name="/decoder/up_blocks.2/resnets.2/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/norm2/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/up_blocks.2/resnets.2/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="530" name="/decoder/up_blocks.2/resnets.2/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/norm2/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.2/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>524288</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="531" name="Constant_4052" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_4052"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="532" name="MVN_4053" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/norm2/InstanceNormalization, Concat_4072, Concat_4117, MVN_4053, Multiply_4100, Reshape_4073, Reshape_4118"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>524288</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.2/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>524288</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="533" name="/decoder/up_blocks.2/resnets.2/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/norm2/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/up_blocks.2/resnets.2/norm2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="534" name="/decoder/up_blocks.2/resnets.2/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/norm2/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>524288</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.2/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="535" name="Constant_11931_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="94476610" size="512"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="536" name="Constant_11931" 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>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="537" name="/decoder/up_blocks.2/resnets.2/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/norm2/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.2/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="538" name="Constant_11932_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="94477122" size="512"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="539" name="Constant_11932" 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>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="540" name="/decoder/up_blocks.2/resnets.2/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/norm2/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.2/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="541" name="/decoder/up_blocks.2/resnets.2/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/nonlinearity_1/Mul, /decoder/up_blocks.2/resnets.2/nonlinearity_1/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/up_blocks.2/resnets.2/nonlinearity_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="542" name="vae.decoder.up_blocks.2.resnets.2.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 256, 3, 3" offset="94477634" size="1179648"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="543" name="vae.decoder.up_blocks.2.resnets.2.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.2.resnets.2.conv2.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.2.resnets.2.conv2.weight">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="544" name="/decoder/up_blocks.2/resnets.2/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/conv2/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="545" name="Reshape_4177_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="95657282" size="512"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="546" name="Reshape_4177" 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>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="547" name="/decoder/up_blocks.2/resnets.2/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/conv2/Conv, Concat_4176, Reshape_4177"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.2/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="548" name="/decoder/up_blocks.2/resnets.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/resnets.2/Add, /decoder/up_blocks.2/resnets.2/Div"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.2/Add_output_0,/decoder/up_blocks.2/resnets.2/Div_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="549" name="ShapeOf_4210" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="ShapeOf_4210"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="550" name="Convert_4211" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Convert_4211"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="551" name="/decoder/up_blocks.2/upsamplers.0/Constant" type="Const" version="opset1">
+			<data element_type="f32" shape="4" offset="49358130" size="16"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/upsamplers.0/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="/decoder/up_blocks.2/upsamplers.0/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="552" name="Multiply_4212" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Multiply_4212"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="553" name="Convert_4213" type="Convert" version="opset1">
+			<data destination_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Convert_4213"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="554" name="/decoder/up_blocks.2/upsamplers.0/Resize" type="Interpolate" version="opset4">
+			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/upsamplers.0/Resize"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="/decoder/up_blocks.2/upsamplers.0/Resize_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="555" name="vae.decoder.up_blocks.2.upsamplers.0.conv.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 256, 3, 3" offset="95657794" size="1179648"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="556" name="vae.decoder.up_blocks.2.upsamplers.0.conv.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.2.upsamplers.0.conv.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.2.upsamplers.0.conv.weight">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="557" name="/decoder/up_blocks.2/upsamplers.0/conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/upsamplers.0/conv/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="558" name="Reshape_4235_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="96837442" size="512"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="559" name="Reshape_4235" 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>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="560" name="/decoder/up_blocks.2/upsamplers.0/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.2/upsamplers.0/conv/Conv, Concat_4234, Reshape_4235"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/upsamplers.0/conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="561" name="vae.decoder.up_blocks.3.resnets.0.conv_shortcut.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 256, 1, 1" offset="96837954" size="65536"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="562" name="vae.decoder.up_blocks.3.resnets.0.conv_shortcut.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.3.resnets.0.conv_shortcut.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.3.resnets.0.conv_shortcut.weight">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="563" name="/decoder/up_blocks.3/resnets.0/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/conv_shortcut/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="564" name="Reshape_4607_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="96903490" size="256"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="565" name="Reshape_4607" 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>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="566" name="/decoder/up_blocks.3/resnets.0/conv_shortcut/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/conv_shortcut/Conv, Concat_4606, Reshape_4607"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.0/conv_shortcut/Conv_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="567" name="/decoder/up_blocks.3/resnets.0/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/norm1/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/up_blocks.3/resnets.0/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="568" name="/decoder/up_blocks.3/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/norm1/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.0/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2097152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="569" name="Constant_4272" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_4272"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="570" name="MVN_4273" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/norm1/InstanceNormalization, Concat_4292, Concat_4337, MVN_4273, Multiply_4320, Reshape_4293, Reshape_4338"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2097152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.0/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2097152</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="571" name="/decoder/up_blocks.3/resnets.0/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/norm1/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/up_blocks.3/resnets.0/norm1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="572" name="/decoder/up_blocks.3/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/norm1/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>2097152</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.0/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="573" name="Constant_11933_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="96903746" size="512"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="574" name="Constant_11933" 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>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="575" name="/decoder/up_blocks.3/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/norm1/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.0/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="576" name="Constant_11934_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="96904258" size="512"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="577" name="Constant_11934" 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>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="578" name="/decoder/up_blocks.3/resnets.0/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/norm1/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.0/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="579" name="/decoder/up_blocks.3/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/nonlinearity/Mul, /decoder/up_blocks.3/resnets.0/nonlinearity/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/up_blocks.3/resnets.0/nonlinearity/Mul_output_0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="580" name="vae.decoder.up_blocks.3.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 256, 3, 3" offset="96904770" size="589824"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="581" name="vae.decoder.up_blocks.3.resnets.0.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.3.resnets.0.conv1.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.3.resnets.0.conv1.weight">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="582" name="/decoder/up_blocks.3/resnets.0/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/conv1/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="583" name="Reshape_4397_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="97494594" size="256"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="584" name="Reshape_4397" 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>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="585" name="/decoder/up_blocks.3/resnets.0/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/conv1/Conv, Concat_4396, Reshape_4397"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.0/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="586" name="/decoder/up_blocks.3/resnets.0/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/norm2/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/up_blocks.3/resnets.0/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="587" name="/decoder/up_blocks.3/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/norm2/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.0/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1048576</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="588" name="Constant_4434" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_4434"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="589" name="MVN_4435" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/norm2/InstanceNormalization, Concat_4454, Concat_4499, MVN_4435, Multiply_4482, Reshape_4455, Reshape_4500"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1048576</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.0/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1048576</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="590" name="/decoder/up_blocks.3/resnets.0/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/norm2/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/up_blocks.3/resnets.0/norm2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="591" name="/decoder/up_blocks.3/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/norm2/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1048576</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.0/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="592" name="Constant_11935_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="97494850" size="256"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="593" name="Constant_11935" 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>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="594" name="/decoder/up_blocks.3/resnets.0/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/norm2/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.0/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="595" name="Constant_11936_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="97495106" size="256"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="596" name="Constant_11936" 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>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="597" name="/decoder/up_blocks.3/resnets.0/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/norm2/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.0/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="598" name="/decoder/up_blocks.3/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/nonlinearity_1/Mul, /decoder/up_blocks.3/resnets.0/nonlinearity_1/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/up_blocks.3/resnets.0/nonlinearity_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="599" name="vae.decoder.up_blocks.3.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 128, 3, 3" offset="97495362" size="294912"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="600" name="vae.decoder.up_blocks.3.resnets.0.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.3.resnets.0.conv2.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.3.resnets.0.conv2.weight">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="601" name="/decoder/up_blocks.3/resnets.0/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/conv2/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="602" name="Reshape_4559_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="97790274" size="256"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="603" name="Reshape_4559" 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>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="604" name="/decoder/up_blocks.3/resnets.0/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/conv2/Conv, Concat_4558, Reshape_4559"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.0/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="605" name="/decoder/up_blocks.3/resnets.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.0/Add, /decoder/up_blocks.3/resnets.0/Div"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.0/Add_output_0,/decoder/up_blocks.3/resnets.0/Div_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="606" name="/decoder/up_blocks.3/resnets.1/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/norm1/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/up_blocks.3/resnets.1/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="607" name="/decoder/up_blocks.3/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/norm1/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.1/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1048576</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="608" name="Constant_4647" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_4647"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="609" name="MVN_4648" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/norm1/InstanceNormalization, Concat_4667, Concat_4712, MVN_4648, Multiply_4695, Reshape_4668, Reshape_4713"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1048576</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.1/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1048576</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="610" name="/decoder/up_blocks.3/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/norm1/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/up_blocks.3/resnets.1/norm1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="611" name="/decoder/up_blocks.3/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/norm1/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1048576</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.1/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="612" name="Constant_11937_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="97790530" size="256"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="613" name="Constant_11937" 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>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="614" name="/decoder/up_blocks.3/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/norm1/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.1/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="615" name="Constant_11938_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="97790786" size="256"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="616" name="Constant_11938" 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>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="617" name="/decoder/up_blocks.3/resnets.1/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/norm1/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.1/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="618" name="/decoder/up_blocks.3/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/nonlinearity/Mul, /decoder/up_blocks.3/resnets.1/nonlinearity/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/up_blocks.3/resnets.1/nonlinearity/Mul_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="619" name="vae.decoder.up_blocks.3.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 128, 3, 3" offset="97791042" size="294912"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="620" name="vae.decoder.up_blocks.3.resnets.1.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.3.resnets.1.conv1.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.3.resnets.1.conv1.weight">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="621" name="/decoder/up_blocks.3/resnets.1/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/conv1/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="622" name="Reshape_4772_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98085954" size="256"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="623" name="Reshape_4772" 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>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="624" name="/decoder/up_blocks.3/resnets.1/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/conv1/Conv, Concat_4771, Reshape_4772"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.1/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="625" name="/decoder/up_blocks.3/resnets.1/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/norm2/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/up_blocks.3/resnets.1/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="626" name="/decoder/up_blocks.3/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/norm2/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.1/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1048576</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="627" name="Constant_4809" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_4809"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="628" name="MVN_4810" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/norm2/InstanceNormalization, Concat_4829, Concat_4874, MVN_4810, Multiply_4857, Reshape_4830, Reshape_4875"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1048576</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.1/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1048576</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="629" name="/decoder/up_blocks.3/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/norm2/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/up_blocks.3/resnets.1/norm2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="630" name="/decoder/up_blocks.3/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/norm2/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1048576</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.1/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="631" name="Constant_11939_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98086210" size="256"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="632" name="Constant_11939" 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>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="633" name="/decoder/up_blocks.3/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/norm2/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.1/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="634" name="Constant_11940_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98086466" size="256"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="635" name="Constant_11940" 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>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="636" name="/decoder/up_blocks.3/resnets.1/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/norm2/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.1/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="637" name="/decoder/up_blocks.3/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/nonlinearity_1/Mul, /decoder/up_blocks.3/resnets.1/nonlinearity_1/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/up_blocks.3/resnets.1/nonlinearity_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="638" name="vae.decoder.up_blocks.3.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 128, 3, 3" offset="98086722" size="294912"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="639" name="vae.decoder.up_blocks.3.resnets.1.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.3.resnets.1.conv2.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.3.resnets.1.conv2.weight">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="640" name="/decoder/up_blocks.3/resnets.1/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/conv2/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="641" name="Reshape_4934_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98381634" size="256"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="642" name="Reshape_4934" 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>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="643" name="/decoder/up_blocks.3/resnets.1/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/conv2/Conv, Concat_4933, Reshape_4934"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.1/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="644" name="/decoder/up_blocks.3/resnets.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.1/Add, /decoder/up_blocks.3/resnets.1/Div"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.1/Add_output_0,/decoder/up_blocks.3/resnets.1/Div_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="645" name="/decoder/up_blocks.3/resnets.2/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/norm1/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/up_blocks.3/resnets.2/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="646" name="/decoder/up_blocks.3/resnets.2/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/norm1/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.2/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1048576</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="647" name="Constant_4974" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_4974"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="648" name="MVN_4975" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/norm1/InstanceNormalization, Concat_4994, Concat_5039, MVN_4975, Multiply_5022, Reshape_4995, Reshape_5040"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1048576</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.2/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1048576</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="649" name="/decoder/up_blocks.3/resnets.2/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/norm1/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/up_blocks.3/resnets.2/norm1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="650" name="/decoder/up_blocks.3/resnets.2/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/norm1/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1048576</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.2/norm1/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="651" name="Constant_11941_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98381890" size="256"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="652" name="Constant_11941" 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>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="653" name="/decoder/up_blocks.3/resnets.2/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/norm1/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.2/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="654" name="Constant_11942_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98382146" size="256"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="655" name="Constant_11942" 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>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="656" name="/decoder/up_blocks.3/resnets.2/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/norm1/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.2/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="657" name="/decoder/up_blocks.3/resnets.2/nonlinearity/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/nonlinearity/Mul, /decoder/up_blocks.3/resnets.2/nonlinearity/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/up_blocks.3/resnets.2/nonlinearity/Mul_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="658" name="vae.decoder.up_blocks.3.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 128, 3, 3" offset="98382402" size="294912"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="659" name="vae.decoder.up_blocks.3.resnets.2.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.3.resnets.2.conv1.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.3.resnets.2.conv1.weight">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="660" name="/decoder/up_blocks.3/resnets.2/conv1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/conv1/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="661" name="Reshape_5099_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98677314" size="256"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="662" name="Reshape_5099" 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>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="663" name="/decoder/up_blocks.3/resnets.2/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/conv1/Conv, Concat_5098, Reshape_5099"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.2/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="664" name="/decoder/up_blocks.3/resnets.2/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/norm2/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/up_blocks.3/resnets.2/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="665" name="/decoder/up_blocks.3/resnets.2/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/norm2/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.2/norm2/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1048576</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="666" name="Constant_5136" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_5136"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="667" name="MVN_5137" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/norm2/InstanceNormalization, Concat_5156, Concat_5201, MVN_5137, Multiply_5184, Reshape_5157, Reshape_5202"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1048576</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.2/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1048576</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="668" name="/decoder/up_blocks.3/resnets.2/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/norm2/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/up_blocks.3/resnets.2/norm2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="669" name="/decoder/up_blocks.3/resnets.2/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/norm2/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1048576</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.2/norm2/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="670" name="Constant_11943_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98677570" size="256"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="671" name="Constant_11943" 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>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="672" name="/decoder/up_blocks.3/resnets.2/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/norm2/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.2/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="673" name="Constant_11944_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98677826" size="256"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="674" name="Constant_11944" 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>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="675" name="/decoder/up_blocks.3/resnets.2/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/norm2/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.2/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="676" name="/decoder/up_blocks.3/resnets.2/nonlinearity_1/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/nonlinearity_1/Mul, /decoder/up_blocks.3/resnets.2/nonlinearity_1/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/up_blocks.3/resnets.2/nonlinearity_1/Mul_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="677" name="vae.decoder.up_blocks.3.resnets.2.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 128, 3, 3" offset="98678082" size="294912"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="678" name="vae.decoder.up_blocks.3.resnets.2.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.up_blocks.3.resnets.2.conv2.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.3.resnets.2.conv2.weight">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="679" name="/decoder/up_blocks.3/resnets.2/conv2/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/conv2/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="680" name="Reshape_5261_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98972994" size="256"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="681" name="Reshape_5261" 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>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="682" name="/decoder/up_blocks.3/resnets.2/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/conv2/Conv, Concat_5260, Reshape_5261"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.2/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="683" name="/decoder/up_blocks.3/resnets.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/up_blocks.3/resnets.2/Add, /decoder/up_blocks.3/resnets.2/Div"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.2/Add_output_0,/decoder/up_blocks.3/resnets.2/Div_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="684" name="/decoder/conv_norm_out/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/conv_norm_out/Constant"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/decoder/conv_norm_out/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="685" name="/decoder/conv_norm_out/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/conv_norm_out/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/conv_norm_out/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1048576</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="686" name="Constant_5301" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_5301"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="687" name="MVN_5302" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/conv_norm_out/InstanceNormalization, Concat_5321, Concat_5366, MVN_5302, Multiply_5349, Reshape_5322, Reshape_5367"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1048576</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/conv_norm_out/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1048576</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="688" name="/decoder/conv_norm_out/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/conv_norm_out/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/conv_norm_out/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="689" name="/decoder/conv_norm_out/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/conv_norm_out/Reshape_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1048576</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/conv_norm_out/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="690" name="Constant_11945_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98973250" size="256"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="691" name="Constant_11945" 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>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="692" name="/decoder/conv_norm_out/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/conv_norm_out/Mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/conv_norm_out/Mul_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="693" name="Constant_11946_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98973506" size="256"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="694" name="Constant_11946" 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>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="695" name="/decoder/conv_norm_out/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/conv_norm_out/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/conv_norm_out/Add_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="696" name="/decoder/conv_act/Mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/conv_act/Mul, /decoder/conv_act/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/conv_act/Mul_output_0">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="697" name="vae.decoder.conv_out.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="3, 128, 3, 3" offset="98973762" size="6912"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>3</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="698" name="vae.decoder.conv_out.weight" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="vae.decoder.conv_out.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.conv_out.weight">
+					<dim>3</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="699" name="/decoder/conv_out/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/conv_out/Conv/WithoutBiases"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>3</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="700" name="Reshape_5426_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 3, 1, 1" offset="98980674" size="6"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="701" name="Reshape_5426" 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>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="702" name="sample" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Concat_5425, Reshape_5426, sample"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="sample">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="703" name="sample/sink_port_0" type="Result" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="sample/sink_port_0"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+		</layer>
+	</layers>
+	<edges>
+		<edge from-layer="0" from-port="0" to-layer="7" to-port="0"/>
+		<edge from-layer="1" from-port="0" to-layer="2" to-port="0"/>
+		<edge from-layer="2" from-port="1" to-layer="123" to-port="0"/>
+		<edge from-layer="3" from-port="0" to-layer="4" to-port="0"/>
+		<edge from-layer="4" from-port="1" to-layer="75" to-port="0"/>
+		<edge from-layer="5" from-port="0" to-layer="6" to-port="0"/>
+		<edge from-layer="6" from-port="1" to-layer="7" to-port="1"/>
+		<edge from-layer="7" from-port="2" to-layer="10" to-port="0"/>
+		<edge from-layer="8" from-port="0" to-layer="9" to-port="0"/>
+		<edge from-layer="9" from-port="1" to-layer="10" to-port="1"/>
+		<edge from-layer="10" from-port="2" to-layer="13" to-port="0"/>
+		<edge from-layer="11" from-port="0" to-layer="12" to-port="0"/>
+		<edge from-layer="12" from-port="1" to-layer="13" to-port="1"/>
+		<edge from-layer="13" from-port="2" to-layer="16" to-port="0"/>
+		<edge from-layer="14" from-port="0" to-layer="15" to-port="0"/>
+		<edge from-layer="15" from-port="1" to-layer="16" to-port="1"/>
+		<edge from-layer="16" from-port="2" to-layer="18" to-port="0"/>
+		<edge from-layer="16" from-port="2" to-layer="21" to-port="0"/>
+		<edge from-layer="16" from-port="2" to-layer="55" to-port="0"/>
+		<edge from-layer="17" from-port="0" to-layer="18" to-port="1"/>
+		<edge from-layer="18" from-port="2" to-layer="20" to-port="0"/>
+		<edge from-layer="19" from-port="0" to-layer="20" to-port="1"/>
+		<edge from-layer="20" from-port="2" to-layer="22" to-port="0"/>
+		<edge from-layer="21" from-port="1" to-layer="22" to-port="1"/>
+		<edge from-layer="22" from-port="2" to-layer="25" to-port="0"/>
+		<edge from-layer="23" from-port="0" to-layer="24" to-port="0"/>
+		<edge from-layer="24" from-port="1" to-layer="25" to-port="1"/>
+		<edge from-layer="25" from-port="2" to-layer="28" to-port="0"/>
+		<edge from-layer="26" from-port="0" to-layer="27" to-port="0"/>
+		<edge from-layer="27" from-port="1" to-layer="28" to-port="1"/>
+		<edge from-layer="28" from-port="2" to-layer="29" to-port="0"/>
+		<edge from-layer="29" from-port="1" to-layer="32" to-port="0"/>
+		<edge from-layer="30" from-port="0" to-layer="31" to-port="0"/>
+		<edge from-layer="31" from-port="1" to-layer="32" to-port="1"/>
+		<edge from-layer="32" from-port="2" to-layer="35" to-port="0"/>
+		<edge from-layer="33" from-port="0" to-layer="34" to-port="0"/>
+		<edge from-layer="34" from-port="1" to-layer="35" to-port="1"/>
+		<edge from-layer="35" from-port="2" to-layer="37" to-port="0"/>
+		<edge from-layer="35" from-port="2" to-layer="40" to-port="0"/>
+		<edge from-layer="36" from-port="0" to-layer="37" to-port="1"/>
+		<edge from-layer="37" from-port="2" to-layer="39" to-port="0"/>
+		<edge from-layer="38" from-port="0" to-layer="39" to-port="1"/>
+		<edge from-layer="39" from-port="2" to-layer="41" to-port="0"/>
+		<edge from-layer="40" from-port="1" to-layer="41" to-port="1"/>
+		<edge from-layer="41" from-port="2" to-layer="44" to-port="0"/>
+		<edge from-layer="42" from-port="0" to-layer="43" to-port="0"/>
+		<edge from-layer="43" from-port="1" to-layer="44" to-port="1"/>
+		<edge from-layer="44" from-port="2" to-layer="47" to-port="0"/>
+		<edge from-layer="45" from-port="0" to-layer="46" to-port="0"/>
+		<edge from-layer="46" from-port="1" to-layer="47" to-port="1"/>
+		<edge from-layer="47" from-port="2" to-layer="48" to-port="0"/>
+		<edge from-layer="48" from-port="1" to-layer="51" to-port="0"/>
+		<edge from-layer="49" from-port="0" to-layer="50" to-port="0"/>
+		<edge from-layer="50" from-port="1" to-layer="51" to-port="1"/>
+		<edge from-layer="51" from-port="2" to-layer="54" to-port="0"/>
+		<edge from-layer="52" from-port="0" to-layer="53" to-port="0"/>
+		<edge from-layer="53" from-port="1" to-layer="54" to-port="1"/>
+		<edge from-layer="54" from-port="2" to-layer="55" to-port="1"/>
+		<edge from-layer="55" from-port="2" to-layer="57" to-port="0"/>
+		<edge from-layer="55" from-port="2" to-layer="60" to-port="0"/>
+		<edge from-layer="55" from-port="2" to-layer="128" to-port="1"/>
+		<edge from-layer="56" from-port="0" to-layer="57" to-port="1"/>
+		<edge from-layer="57" from-port="2" to-layer="59" to-port="0"/>
+		<edge from-layer="58" from-port="0" to-layer="59" to-port="1"/>
+		<edge from-layer="59" from-port="2" to-layer="61" to-port="0"/>
+		<edge from-layer="60" from-port="1" to-layer="61" to-port="1"/>
+		<edge from-layer="61" from-port="2" to-layer="64" to-port="0"/>
+		<edge from-layer="62" from-port="0" to-layer="63" to-port="0"/>
+		<edge from-layer="63" from-port="1" to-layer="64" to-port="1"/>
+		<edge from-layer="64" from-port="2" to-layer="67" to-port="0"/>
+		<edge from-layer="65" from-port="0" to-layer="66" to-port="0"/>
+		<edge from-layer="66" from-port="1" to-layer="67" to-port="1"/>
+		<edge from-layer="67" from-port="2" to-layer="69" to-port="0"/>
+		<edge from-layer="68" from-port="0" to-layer="69" to-port="1"/>
+		<edge from-layer="69" from-port="2" to-layer="71" to-port="0"/>
+		<edge from-layer="70" from-port="0" to-layer="71" to-port="1"/>
+		<edge from-layer="71" from-port="2" to-layer="74" to-port="0"/>
+		<edge from-layer="71" from-port="2" to-layer="86" to-port="0"/>
+		<edge from-layer="71" from-port="2" to-layer="105" to-port="0"/>
+		<edge from-layer="72" from-port="0" to-layer="73" to-port="0"/>
+		<edge from-layer="73" from-port="1" to-layer="74" to-port="1"/>
+		<edge from-layer="74" from-port="2" to-layer="75" to-port="1"/>
+		<edge from-layer="75" from-port="2" to-layer="77" to-port="0"/>
+		<edge from-layer="76" from-port="0" to-layer="77" to-port="1"/>
+		<edge from-layer="77" from-port="2" to-layer="79" to-port="0"/>
+		<edge from-layer="78" from-port="0" to-layer="79" to-port="1"/>
+		<edge from-layer="79" from-port="2" to-layer="81" to-port="0"/>
+		<edge from-layer="80" from-port="0" to-layer="81" to-port="1"/>
+		<edge from-layer="81" from-port="2" to-layer="99" to-port="0"/>
+		<edge from-layer="82" from-port="0" to-layer="83" to-port="0"/>
+		<edge from-layer="83" from-port="1" to-layer="87" to-port="0"/>
+		<edge from-layer="84" from-port="0" to-layer="85" to-port="0"/>
+		<edge from-layer="85" from-port="1" to-layer="86" to-port="1"/>
+		<edge from-layer="86" from-port="2" to-layer="87" to-port="1"/>
+		<edge from-layer="87" from-port="2" to-layer="89" to-port="0"/>
+		<edge from-layer="88" from-port="0" to-layer="89" to-port="1"/>
+		<edge from-layer="89" from-port="2" to-layer="91" to-port="0"/>
+		<edge from-layer="90" from-port="0" to-layer="91" to-port="1"/>
+		<edge from-layer="91" from-port="2" to-layer="93" to-port="0"/>
+		<edge from-layer="92" from-port="0" to-layer="93" to-port="1"/>
+		<edge from-layer="93" from-port="2" to-layer="95" to-port="0"/>
+		<edge from-layer="94" from-port="0" to-layer="95" to-port="1"/>
+		<edge from-layer="95" from-port="2" to-layer="98" to-port="0"/>
+		<edge from-layer="96" from-port="0" to-layer="97" to-port="0"/>
+		<edge from-layer="97" from-port="1" to-layer="98" to-port="1"/>
+		<edge from-layer="98" from-port="2" to-layer="99" to-port="1"/>
+		<edge from-layer="99" from-port="2" to-layer="100" to-port="0"/>
+		<edge from-layer="100" from-port="1" to-layer="113" to-port="0"/>
+		<edge from-layer="101" from-port="0" to-layer="102" to-port="0"/>
+		<edge from-layer="102" from-port="1" to-layer="106" to-port="0"/>
+		<edge from-layer="103" from-port="0" to-layer="104" to-port="0"/>
+		<edge from-layer="104" from-port="1" to-layer="105" to-port="1"/>
+		<edge from-layer="105" from-port="2" to-layer="106" to-port="1"/>
+		<edge from-layer="106" from-port="2" to-layer="108" to-port="0"/>
+		<edge from-layer="107" from-port="0" to-layer="108" to-port="1"/>
+		<edge from-layer="108" from-port="2" to-layer="110" to-port="0"/>
+		<edge from-layer="109" from-port="0" to-layer="110" to-port="1"/>
+		<edge from-layer="110" from-port="2" to-layer="112" to-port="0"/>
+		<edge from-layer="111" from-port="0" to-layer="112" to-port="1"/>
+		<edge from-layer="112" from-port="2" to-layer="113" to-port="1"/>
+		<edge from-layer="113" from-port="2" to-layer="115" to-port="0"/>
+		<edge from-layer="114" from-port="0" to-layer="115" to-port="1"/>
+		<edge from-layer="115" from-port="2" to-layer="117" to-port="0"/>
+		<edge from-layer="116" from-port="0" to-layer="117" to-port="1"/>
+		<edge from-layer="117" from-port="2" to-layer="119" to-port="0"/>
+		<edge from-layer="118" from-port="0" to-layer="119" to-port="1"/>
+		<edge from-layer="119" from-port="2" to-layer="122" to-port="0"/>
+		<edge from-layer="120" from-port="0" to-layer="121" to-port="0"/>
+		<edge from-layer="121" from-port="1" to-layer="122" to-port="1"/>
+		<edge from-layer="122" from-port="2" to-layer="123" to-port="1"/>
+		<edge from-layer="123" from-port="2" to-layer="125" to-port="0"/>
+		<edge from-layer="124" from-port="0" to-layer="125" to-port="1"/>
+		<edge from-layer="125" from-port="2" to-layer="127" to-port="0"/>
+		<edge from-layer="126" from-port="0" to-layer="127" to-port="1"/>
+		<edge from-layer="127" from-port="2" to-layer="128" to-port="0"/>
+		<edge from-layer="128" from-port="2" to-layer="130" to-port="0"/>
+		<edge from-layer="128" from-port="2" to-layer="167" to-port="0"/>
+		<edge from-layer="128" from-port="2" to-layer="133" to-port="0"/>
+		<edge from-layer="129" from-port="0" to-layer="130" to-port="1"/>
+		<edge from-layer="130" from-port="2" to-layer="132" to-port="0"/>
+		<edge from-layer="131" from-port="0" to-layer="132" to-port="1"/>
+		<edge from-layer="132" from-port="2" to-layer="134" to-port="0"/>
+		<edge from-layer="133" from-port="1" to-layer="134" to-port="1"/>
+		<edge from-layer="134" from-port="2" to-layer="137" to-port="0"/>
+		<edge from-layer="135" from-port="0" to-layer="136" to-port="0"/>
+		<edge from-layer="136" from-port="1" to-layer="137" to-port="1"/>
+		<edge from-layer="137" from-port="2" to-layer="140" to-port="0"/>
+		<edge from-layer="138" from-port="0" to-layer="139" to-port="0"/>
+		<edge from-layer="139" from-port="1" to-layer="140" to-port="1"/>
+		<edge from-layer="140" from-port="2" to-layer="141" to-port="0"/>
+		<edge from-layer="141" from-port="1" to-layer="144" to-port="0"/>
+		<edge from-layer="142" from-port="0" to-layer="143" to-port="0"/>
+		<edge from-layer="143" from-port="1" to-layer="144" to-port="1"/>
+		<edge from-layer="144" from-port="2" to-layer="147" to-port="0"/>
+		<edge from-layer="145" from-port="0" to-layer="146" to-port="0"/>
+		<edge from-layer="146" from-port="1" to-layer="147" to-port="1"/>
+		<edge from-layer="147" from-port="2" to-layer="149" to-port="0"/>
+		<edge from-layer="147" from-port="2" to-layer="152" to-port="0"/>
+		<edge from-layer="148" from-port="0" to-layer="149" to-port="1"/>
+		<edge from-layer="149" from-port="2" to-layer="151" to-port="0"/>
+		<edge from-layer="150" from-port="0" to-layer="151" to-port="1"/>
+		<edge from-layer="151" from-port="2" to-layer="153" to-port="0"/>
+		<edge from-layer="152" from-port="1" to-layer="153" to-port="1"/>
+		<edge from-layer="153" from-port="2" to-layer="156" to-port="0"/>
+		<edge from-layer="154" from-port="0" to-layer="155" to-port="0"/>
+		<edge from-layer="155" from-port="1" to-layer="156" to-port="1"/>
+		<edge from-layer="156" from-port="2" to-layer="159" to-port="0"/>
+		<edge from-layer="157" from-port="0" to-layer="158" to-port="0"/>
+		<edge from-layer="158" from-port="1" to-layer="159" to-port="1"/>
+		<edge from-layer="159" from-port="2" to-layer="160" to-port="0"/>
+		<edge from-layer="160" from-port="1" to-layer="163" to-port="0"/>
+		<edge from-layer="161" from-port="0" to-layer="162" to-port="0"/>
+		<edge from-layer="162" from-port="1" to-layer="163" to-port="1"/>
+		<edge from-layer="163" from-port="2" to-layer="166" to-port="0"/>
+		<edge from-layer="164" from-port="0" to-layer="165" to-port="0"/>
+		<edge from-layer="165" from-port="1" to-layer="166" to-port="1"/>
+		<edge from-layer="166" from-port="2" to-layer="167" to-port="1"/>
+		<edge from-layer="167" from-port="2" to-layer="169" to-port="0"/>
+		<edge from-layer="167" from-port="2" to-layer="206" to-port="0"/>
+		<edge from-layer="167" from-port="2" to-layer="172" to-port="0"/>
+		<edge from-layer="168" from-port="0" to-layer="169" to-port="1"/>
+		<edge from-layer="169" from-port="2" to-layer="171" to-port="0"/>
+		<edge from-layer="170" from-port="0" to-layer="171" to-port="1"/>
+		<edge from-layer="171" from-port="2" to-layer="173" to-port="0"/>
+		<edge from-layer="172" from-port="1" to-layer="173" to-port="1"/>
+		<edge from-layer="173" from-port="2" to-layer="176" to-port="0"/>
+		<edge from-layer="174" from-port="0" to-layer="175" to-port="0"/>
+		<edge from-layer="175" from-port="1" to-layer="176" to-port="1"/>
+		<edge from-layer="176" from-port="2" to-layer="179" to-port="0"/>
+		<edge from-layer="177" from-port="0" to-layer="178" to-port="0"/>
+		<edge from-layer="178" from-port="1" to-layer="179" to-port="1"/>
+		<edge from-layer="179" from-port="2" to-layer="180" to-port="0"/>
+		<edge from-layer="180" from-port="1" to-layer="183" to-port="0"/>
+		<edge from-layer="181" from-port="0" to-layer="182" to-port="0"/>
+		<edge from-layer="182" from-port="1" to-layer="183" to-port="1"/>
+		<edge from-layer="183" from-port="2" to-layer="186" to-port="0"/>
+		<edge from-layer="184" from-port="0" to-layer="185" to-port="0"/>
+		<edge from-layer="185" from-port="1" to-layer="186" to-port="1"/>
+		<edge from-layer="186" from-port="2" to-layer="188" to-port="0"/>
+		<edge from-layer="186" from-port="2" to-layer="191" to-port="0"/>
+		<edge from-layer="187" from-port="0" to-layer="188" to-port="1"/>
+		<edge from-layer="188" from-port="2" to-layer="190" to-port="0"/>
+		<edge from-layer="189" from-port="0" to-layer="190" to-port="1"/>
+		<edge from-layer="190" from-port="2" to-layer="192" to-port="0"/>
+		<edge from-layer="191" from-port="1" to-layer="192" to-port="1"/>
+		<edge from-layer="192" from-port="2" to-layer="195" to-port="0"/>
+		<edge from-layer="193" from-port="0" to-layer="194" to-port="0"/>
+		<edge from-layer="194" from-port="1" to-layer="195" to-port="1"/>
+		<edge from-layer="195" from-port="2" to-layer="198" to-port="0"/>
+		<edge from-layer="196" from-port="0" to-layer="197" to-port="0"/>
+		<edge from-layer="197" from-port="1" to-layer="198" to-port="1"/>
+		<edge from-layer="198" from-port="2" to-layer="199" to-port="0"/>
+		<edge from-layer="199" from-port="1" to-layer="202" to-port="0"/>
+		<edge from-layer="200" from-port="0" to-layer="201" to-port="0"/>
+		<edge from-layer="201" from-port="1" to-layer="202" to-port="1"/>
+		<edge from-layer="202" from-port="2" to-layer="205" to-port="0"/>
+		<edge from-layer="203" from-port="0" to-layer="204" to-port="0"/>
+		<edge from-layer="204" from-port="1" to-layer="205" to-port="1"/>
+		<edge from-layer="205" from-port="2" to-layer="206" to-port="1"/>
+		<edge from-layer="206" from-port="2" to-layer="208" to-port="0"/>
+		<edge from-layer="206" from-port="2" to-layer="211" to-port="0"/>
+		<edge from-layer="206" from-port="2" to-layer="245" to-port="0"/>
+		<edge from-layer="207" from-port="0" to-layer="208" to-port="1"/>
+		<edge from-layer="208" from-port="2" to-layer="210" to-port="0"/>
+		<edge from-layer="209" from-port="0" to-layer="210" to-port="1"/>
+		<edge from-layer="210" from-port="2" to-layer="212" to-port="0"/>
+		<edge from-layer="211" from-port="1" to-layer="212" to-port="1"/>
+		<edge from-layer="212" from-port="2" to-layer="215" to-port="0"/>
+		<edge from-layer="213" from-port="0" to-layer="214" to-port="0"/>
+		<edge from-layer="214" from-port="1" to-layer="215" to-port="1"/>
+		<edge from-layer="215" from-port="2" to-layer="218" to-port="0"/>
+		<edge from-layer="216" from-port="0" to-layer="217" to-port="0"/>
+		<edge from-layer="217" from-port="1" to-layer="218" to-port="1"/>
+		<edge from-layer="218" from-port="2" to-layer="219" to-port="0"/>
+		<edge from-layer="219" from-port="1" to-layer="222" to-port="0"/>
+		<edge from-layer="220" from-port="0" to-layer="221" to-port="0"/>
+		<edge from-layer="221" from-port="1" to-layer="222" to-port="1"/>
+		<edge from-layer="222" from-port="2" to-layer="225" to-port="0"/>
+		<edge from-layer="223" from-port="0" to-layer="224" to-port="0"/>
+		<edge from-layer="224" from-port="1" to-layer="225" to-port="1"/>
+		<edge from-layer="225" from-port="2" to-layer="227" to-port="0"/>
+		<edge from-layer="225" from-port="2" to-layer="230" to-port="0"/>
+		<edge from-layer="226" from-port="0" to-layer="227" to-port="1"/>
+		<edge from-layer="227" from-port="2" to-layer="229" to-port="0"/>
+		<edge from-layer="228" from-port="0" to-layer="229" to-port="1"/>
+		<edge from-layer="229" from-port="2" to-layer="231" to-port="0"/>
+		<edge from-layer="230" from-port="1" to-layer="231" to-port="1"/>
+		<edge from-layer="231" from-port="2" to-layer="234" to-port="0"/>
+		<edge from-layer="232" from-port="0" to-layer="233" to-port="0"/>
+		<edge from-layer="233" from-port="1" to-layer="234" to-port="1"/>
+		<edge from-layer="234" from-port="2" to-layer="237" to-port="0"/>
+		<edge from-layer="235" from-port="0" to-layer="236" to-port="0"/>
+		<edge from-layer="236" from-port="1" to-layer="237" to-port="1"/>
+		<edge from-layer="237" from-port="2" to-layer="238" to-port="0"/>
+		<edge from-layer="238" from-port="1" to-layer="241" to-port="0"/>
+		<edge from-layer="239" from-port="0" to-layer="240" to-port="0"/>
+		<edge from-layer="240" from-port="1" to-layer="241" to-port="1"/>
+		<edge from-layer="241" from-port="2" to-layer="244" to-port="0"/>
+		<edge from-layer="242" from-port="0" to-layer="243" to-port="0"/>
+		<edge from-layer="243" from-port="1" to-layer="244" to-port="1"/>
+		<edge from-layer="244" from-port="2" to-layer="245" to-port="1"/>
+		<edge from-layer="245" from-port="2" to-layer="247" to-port="0"/>
+		<edge from-layer="245" from-port="2" to-layer="250" to-port="0"/>
+		<edge from-layer="245" from-port="2" to-layer="284" to-port="0"/>
+		<edge from-layer="246" from-port="0" to-layer="247" to-port="1"/>
+		<edge from-layer="247" from-port="2" to-layer="249" to-port="0"/>
+		<edge from-layer="248" from-port="0" to-layer="249" to-port="1"/>
+		<edge from-layer="249" from-port="2" to-layer="251" to-port="0"/>
+		<edge from-layer="250" from-port="1" to-layer="251" to-port="1"/>
+		<edge from-layer="251" from-port="2" to-layer="254" to-port="0"/>
+		<edge from-layer="252" from-port="0" to-layer="253" to-port="0"/>
+		<edge from-layer="253" from-port="1" to-layer="254" to-port="1"/>
+		<edge from-layer="254" from-port="2" to-layer="257" to-port="0"/>
+		<edge from-layer="255" from-port="0" to-layer="256" to-port="0"/>
+		<edge from-layer="256" from-port="1" to-layer="257" to-port="1"/>
+		<edge from-layer="257" from-port="2" to-layer="258" to-port="0"/>
+		<edge from-layer="258" from-port="1" to-layer="261" to-port="0"/>
+		<edge from-layer="259" from-port="0" to-layer="260" to-port="0"/>
+		<edge from-layer="260" from-port="1" to-layer="261" to-port="1"/>
+		<edge from-layer="261" from-port="2" to-layer="264" to-port="0"/>
+		<edge from-layer="262" from-port="0" to-layer="263" to-port="0"/>
+		<edge from-layer="263" from-port="1" to-layer="264" to-port="1"/>
+		<edge from-layer="264" from-port="2" to-layer="266" to-port="0"/>
+		<edge from-layer="264" from-port="2" to-layer="269" to-port="0"/>
+		<edge from-layer="265" from-port="0" to-layer="266" to-port="1"/>
+		<edge from-layer="266" from-port="2" to-layer="268" to-port="0"/>
+		<edge from-layer="267" from-port="0" to-layer="268" to-port="1"/>
+		<edge from-layer="268" from-port="2" to-layer="270" to-port="0"/>
+		<edge from-layer="269" from-port="1" to-layer="270" to-port="1"/>
+		<edge from-layer="270" from-port="2" to-layer="273" to-port="0"/>
+		<edge from-layer="271" from-port="0" to-layer="272" to-port="0"/>
+		<edge from-layer="272" from-port="1" to-layer="273" to-port="1"/>
+		<edge from-layer="273" from-port="2" to-layer="276" to-port="0"/>
+		<edge from-layer="274" from-port="0" to-layer="275" to-port="0"/>
+		<edge from-layer="275" from-port="1" to-layer="276" to-port="1"/>
+		<edge from-layer="276" from-port="2" to-layer="277" to-port="0"/>
+		<edge from-layer="277" from-port="1" to-layer="280" to-port="0"/>
+		<edge from-layer="278" from-port="0" to-layer="279" to-port="0"/>
+		<edge from-layer="279" from-port="1" to-layer="280" to-port="1"/>
+		<edge from-layer="280" from-port="2" to-layer="283" to-port="0"/>
+		<edge from-layer="281" from-port="0" to-layer="282" to-port="0"/>
+		<edge from-layer="282" from-port="1" to-layer="283" to-port="1"/>
+		<edge from-layer="283" from-port="2" to-layer="284" to-port="1"/>
+		<edge from-layer="284" from-port="2" to-layer="285" to-port="0"/>
+		<edge from-layer="284" from-port="2" to-layer="290" to-port="0"/>
+		<edge from-layer="285" from-port="1" to-layer="286" to-port="0"/>
+		<edge from-layer="286" from-port="1" to-layer="288" to-port="0"/>
+		<edge from-layer="287" from-port="0" to-layer="288" to-port="1"/>
+		<edge from-layer="287" from-port="0" to-layer="290" to-port="2"/>
+		<edge from-layer="288" from-port="2" to-layer="289" to-port="0"/>
+		<edge from-layer="289" from-port="1" to-layer="290" to-port="1"/>
+		<edge from-layer="290" from-port="3" to-layer="293" to-port="0"/>
+		<edge from-layer="291" from-port="0" to-layer="292" to-port="0"/>
+		<edge from-layer="292" from-port="1" to-layer="293" to-port="1"/>
+		<edge from-layer="293" from-port="2" to-layer="296" to-port="0"/>
+		<edge from-layer="294" from-port="0" to-layer="295" to-port="0"/>
+		<edge from-layer="295" from-port="1" to-layer="296" to-port="1"/>
+		<edge from-layer="296" from-port="2" to-layer="298" to-port="0"/>
+		<edge from-layer="296" from-port="2" to-layer="335" to-port="0"/>
+		<edge from-layer="296" from-port="2" to-layer="301" to-port="0"/>
+		<edge from-layer="297" from-port="0" to-layer="298" to-port="1"/>
+		<edge from-layer="298" from-port="2" to-layer="300" to-port="0"/>
+		<edge from-layer="299" from-port="0" to-layer="300" to-port="1"/>
+		<edge from-layer="300" from-port="2" to-layer="302" to-port="0"/>
+		<edge from-layer="301" from-port="1" to-layer="302" to-port="1"/>
+		<edge from-layer="302" from-port="2" to-layer="305" to-port="0"/>
+		<edge from-layer="303" from-port="0" to-layer="304" to-port="0"/>
+		<edge from-layer="304" from-port="1" to-layer="305" to-port="1"/>
+		<edge from-layer="305" from-port="2" to-layer="308" to-port="0"/>
+		<edge from-layer="306" from-port="0" to-layer="307" to-port="0"/>
+		<edge from-layer="307" from-port="1" to-layer="308" to-port="1"/>
+		<edge from-layer="308" from-port="2" to-layer="309" to-port="0"/>
+		<edge from-layer="309" from-port="1" to-layer="312" to-port="0"/>
+		<edge from-layer="310" from-port="0" to-layer="311" to-port="0"/>
+		<edge from-layer="311" from-port="1" to-layer="312" to-port="1"/>
+		<edge from-layer="312" from-port="2" to-layer="315" to-port="0"/>
+		<edge from-layer="313" from-port="0" to-layer="314" to-port="0"/>
+		<edge from-layer="314" from-port="1" to-layer="315" to-port="1"/>
+		<edge from-layer="315" from-port="2" to-layer="317" to-port="0"/>
+		<edge from-layer="315" from-port="2" to-layer="320" to-port="0"/>
+		<edge from-layer="316" from-port="0" to-layer="317" to-port="1"/>
+		<edge from-layer="317" from-port="2" to-layer="319" to-port="0"/>
+		<edge from-layer="318" from-port="0" to-layer="319" to-port="1"/>
+		<edge from-layer="319" from-port="2" to-layer="321" to-port="0"/>
+		<edge from-layer="320" from-port="1" to-layer="321" to-port="1"/>
+		<edge from-layer="321" from-port="2" to-layer="324" to-port="0"/>
+		<edge from-layer="322" from-port="0" to-layer="323" to-port="0"/>
+		<edge from-layer="323" from-port="1" to-layer="324" to-port="1"/>
+		<edge from-layer="324" from-port="2" to-layer="327" to-port="0"/>
+		<edge from-layer="325" from-port="0" to-layer="326" to-port="0"/>
+		<edge from-layer="326" from-port="1" to-layer="327" to-port="1"/>
+		<edge from-layer="327" from-port="2" to-layer="328" to-port="0"/>
+		<edge from-layer="328" from-port="1" to-layer="331" to-port="0"/>
+		<edge from-layer="329" from-port="0" to-layer="330" to-port="0"/>
+		<edge from-layer="330" from-port="1" to-layer="331" to-port="1"/>
+		<edge from-layer="331" from-port="2" to-layer="334" to-port="0"/>
+		<edge from-layer="332" from-port="0" to-layer="333" to-port="0"/>
+		<edge from-layer="333" from-port="1" to-layer="334" to-port="1"/>
+		<edge from-layer="334" from-port="2" to-layer="335" to-port="1"/>
+		<edge from-layer="335" from-port="2" to-layer="337" to-port="0"/>
+		<edge from-layer="335" from-port="2" to-layer="340" to-port="0"/>
+		<edge from-layer="335" from-port="2" to-layer="374" to-port="0"/>
+		<edge from-layer="336" from-port="0" to-layer="337" to-port="1"/>
+		<edge from-layer="337" from-port="2" to-layer="339" to-port="0"/>
+		<edge from-layer="338" from-port="0" to-layer="339" to-port="1"/>
+		<edge from-layer="339" from-port="2" to-layer="341" to-port="0"/>
+		<edge from-layer="340" from-port="1" to-layer="341" to-port="1"/>
+		<edge from-layer="341" from-port="2" to-layer="344" to-port="0"/>
+		<edge from-layer="342" from-port="0" to-layer="343" to-port="0"/>
+		<edge from-layer="343" from-port="1" to-layer="344" to-port="1"/>
+		<edge from-layer="344" from-port="2" to-layer="347" to-port="0"/>
+		<edge from-layer="345" from-port="0" to-layer="346" to-port="0"/>
+		<edge from-layer="346" from-port="1" to-layer="347" to-port="1"/>
+		<edge from-layer="347" from-port="2" to-layer="348" to-port="0"/>
+		<edge from-layer="348" from-port="1" to-layer="351" to-port="0"/>
+		<edge from-layer="349" from-port="0" to-layer="350" to-port="0"/>
+		<edge from-layer="350" from-port="1" to-layer="351" to-port="1"/>
+		<edge from-layer="351" from-port="2" to-layer="354" to-port="0"/>
+		<edge from-layer="352" from-port="0" to-layer="353" to-port="0"/>
+		<edge from-layer="353" from-port="1" to-layer="354" to-port="1"/>
+		<edge from-layer="354" from-port="2" to-layer="359" to-port="0"/>
+		<edge from-layer="354" from-port="2" to-layer="356" to-port="0"/>
+		<edge from-layer="355" from-port="0" to-layer="356" to-port="1"/>
+		<edge from-layer="356" from-port="2" to-layer="358" to-port="0"/>
+		<edge from-layer="357" from-port="0" to-layer="358" to-port="1"/>
+		<edge from-layer="358" from-port="2" to-layer="360" to-port="0"/>
+		<edge from-layer="359" from-port="1" to-layer="360" to-port="1"/>
+		<edge from-layer="360" from-port="2" to-layer="363" to-port="0"/>
+		<edge from-layer="361" from-port="0" to-layer="362" to-port="0"/>
+		<edge from-layer="362" from-port="1" to-layer="363" to-port="1"/>
+		<edge from-layer="363" from-port="2" to-layer="366" to-port="0"/>
+		<edge from-layer="364" from-port="0" to-layer="365" to-port="0"/>
+		<edge from-layer="365" from-port="1" to-layer="366" to-port="1"/>
+		<edge from-layer="366" from-port="2" to-layer="367" to-port="0"/>
+		<edge from-layer="367" from-port="1" to-layer="370" to-port="0"/>
+		<edge from-layer="368" from-port="0" to-layer="369" to-port="0"/>
+		<edge from-layer="369" from-port="1" to-layer="370" to-port="1"/>
+		<edge from-layer="370" from-port="2" to-layer="373" to-port="0"/>
+		<edge from-layer="371" from-port="0" to-layer="372" to-port="0"/>
+		<edge from-layer="372" from-port="1" to-layer="373" to-port="1"/>
+		<edge from-layer="373" from-port="2" to-layer="374" to-port="1"/>
+		<edge from-layer="374" from-port="2" to-layer="376" to-port="0"/>
+		<edge from-layer="374" from-port="2" to-layer="413" to-port="0"/>
+		<edge from-layer="374" from-port="2" to-layer="379" to-port="0"/>
+		<edge from-layer="375" from-port="0" to-layer="376" to-port="1"/>
+		<edge from-layer="376" from-port="2" to-layer="378" to-port="0"/>
+		<edge from-layer="377" from-port="0" to-layer="378" to-port="1"/>
+		<edge from-layer="378" from-port="2" to-layer="380" to-port="0"/>
+		<edge from-layer="379" from-port="1" to-layer="380" to-port="1"/>
+		<edge from-layer="380" from-port="2" to-layer="383" to-port="0"/>
+		<edge from-layer="381" from-port="0" to-layer="382" to-port="0"/>
+		<edge from-layer="382" from-port="1" to-layer="383" to-port="1"/>
+		<edge from-layer="383" from-port="2" to-layer="386" to-port="0"/>
+		<edge from-layer="384" from-port="0" to-layer="385" to-port="0"/>
+		<edge from-layer="385" from-port="1" to-layer="386" to-port="1"/>
+		<edge from-layer="386" from-port="2" to-layer="387" to-port="0"/>
+		<edge from-layer="387" from-port="1" to-layer="390" to-port="0"/>
+		<edge from-layer="388" from-port="0" to-layer="389" to-port="0"/>
+		<edge from-layer="389" from-port="1" to-layer="390" to-port="1"/>
+		<edge from-layer="390" from-port="2" to-layer="393" to-port="0"/>
+		<edge from-layer="391" from-port="0" to-layer="392" to-port="0"/>
+		<edge from-layer="392" from-port="1" to-layer="393" to-port="1"/>
+		<edge from-layer="393" from-port="2" to-layer="395" to-port="0"/>
+		<edge from-layer="393" from-port="2" to-layer="398" to-port="0"/>
+		<edge from-layer="394" from-port="0" to-layer="395" to-port="1"/>
+		<edge from-layer="395" from-port="2" to-layer="397" to-port="0"/>
+		<edge from-layer="396" from-port="0" to-layer="397" to-port="1"/>
+		<edge from-layer="397" from-port="2" to-layer="399" to-port="0"/>
+		<edge from-layer="398" from-port="1" to-layer="399" to-port="1"/>
+		<edge from-layer="399" from-port="2" to-layer="402" to-port="0"/>
+		<edge from-layer="400" from-port="0" to-layer="401" to-port="0"/>
+		<edge from-layer="401" from-port="1" to-layer="402" to-port="1"/>
+		<edge from-layer="402" from-port="2" to-layer="405" to-port="0"/>
+		<edge from-layer="403" from-port="0" to-layer="404" to-port="0"/>
+		<edge from-layer="404" from-port="1" to-layer="405" to-port="1"/>
+		<edge from-layer="405" from-port="2" to-layer="406" to-port="0"/>
+		<edge from-layer="406" from-port="1" to-layer="409" to-port="0"/>
+		<edge from-layer="407" from-port="0" to-layer="408" to-port="0"/>
+		<edge from-layer="408" from-port="1" to-layer="409" to-port="1"/>
+		<edge from-layer="409" from-port="2" to-layer="412" to-port="0"/>
+		<edge from-layer="410" from-port="0" to-layer="411" to-port="0"/>
+		<edge from-layer="411" from-port="1" to-layer="412" to-port="1"/>
+		<edge from-layer="412" from-port="2" to-layer="413" to-port="1"/>
+		<edge from-layer="413" from-port="2" to-layer="414" to-port="0"/>
+		<edge from-layer="413" from-port="2" to-layer="419" to-port="0"/>
+		<edge from-layer="414" from-port="1" to-layer="415" to-port="0"/>
+		<edge from-layer="415" from-port="1" to-layer="417" to-port="0"/>
+		<edge from-layer="416" from-port="0" to-layer="417" to-port="1"/>
+		<edge from-layer="416" from-port="0" to-layer="419" to-port="2"/>
+		<edge from-layer="417" from-port="2" to-layer="418" to-port="0"/>
+		<edge from-layer="418" from-port="1" to-layer="419" to-port="1"/>
+		<edge from-layer="419" from-port="3" to-layer="422" to-port="0"/>
+		<edge from-layer="420" from-port="0" to-layer="421" to-port="0"/>
+		<edge from-layer="421" from-port="1" to-layer="422" to-port="1"/>
+		<edge from-layer="422" from-port="2" to-layer="425" to-port="0"/>
+		<edge from-layer="423" from-port="0" to-layer="424" to-port="0"/>
+		<edge from-layer="424" from-port="1" to-layer="425" to-port="1"/>
+		<edge from-layer="425" from-port="2" to-layer="428" to-port="0"/>
+		<edge from-layer="425" from-port="2" to-layer="433" to-port="0"/>
+		<edge from-layer="425" from-port="2" to-layer="436" to-port="0"/>
+		<edge from-layer="426" from-port="0" to-layer="427" to-port="0"/>
+		<edge from-layer="427" from-port="1" to-layer="428" to-port="1"/>
+		<edge from-layer="428" from-port="2" to-layer="431" to-port="0"/>
+		<edge from-layer="429" from-port="0" to-layer="430" to-port="0"/>
+		<edge from-layer="430" from-port="1" to-layer="431" to-port="1"/>
+		<edge from-layer="431" from-port="2" to-layer="470" to-port="0"/>
+		<edge from-layer="432" from-port="0" to-layer="433" to-port="1"/>
+		<edge from-layer="433" from-port="2" to-layer="435" to-port="0"/>
+		<edge from-layer="434" from-port="0" to-layer="435" to-port="1"/>
+		<edge from-layer="435" from-port="2" to-layer="437" to-port="0"/>
+		<edge from-layer="436" from-port="1" to-layer="437" to-port="1"/>
+		<edge from-layer="437" from-port="2" to-layer="440" to-port="0"/>
+		<edge from-layer="438" from-port="0" to-layer="439" to-port="0"/>
+		<edge from-layer="439" from-port="1" to-layer="440" to-port="1"/>
+		<edge from-layer="440" from-port="2" to-layer="443" to-port="0"/>
+		<edge from-layer="441" from-port="0" to-layer="442" to-port="0"/>
+		<edge from-layer="442" from-port="1" to-layer="443" to-port="1"/>
+		<edge from-layer="443" from-port="2" to-layer="444" to-port="0"/>
+		<edge from-layer="444" from-port="1" to-layer="447" to-port="0"/>
+		<edge from-layer="445" from-port="0" to-layer="446" to-port="0"/>
+		<edge from-layer="446" from-port="1" to-layer="447" to-port="1"/>
+		<edge from-layer="447" from-port="2" to-layer="450" to-port="0"/>
+		<edge from-layer="448" from-port="0" to-layer="449" to-port="0"/>
+		<edge from-layer="449" from-port="1" to-layer="450" to-port="1"/>
+		<edge from-layer="450" from-port="2" to-layer="452" to-port="0"/>
+		<edge from-layer="450" from-port="2" to-layer="455" to-port="0"/>
+		<edge from-layer="451" from-port="0" to-layer="452" to-port="1"/>
+		<edge from-layer="452" from-port="2" to-layer="454" to-port="0"/>
+		<edge from-layer="453" from-port="0" to-layer="454" to-port="1"/>
+		<edge from-layer="454" from-port="2" to-layer="456" to-port="0"/>
+		<edge from-layer="455" from-port="1" to-layer="456" to-port="1"/>
+		<edge from-layer="456" from-port="2" to-layer="459" to-port="0"/>
+		<edge from-layer="457" from-port="0" to-layer="458" to-port="0"/>
+		<edge from-layer="458" from-port="1" to-layer="459" to-port="1"/>
+		<edge from-layer="459" from-port="2" to-layer="462" to-port="0"/>
+		<edge from-layer="460" from-port="0" to-layer="461" to-port="0"/>
+		<edge from-layer="461" from-port="1" to-layer="462" to-port="1"/>
+		<edge from-layer="462" from-port="2" to-layer="463" to-port="0"/>
+		<edge from-layer="463" from-port="1" to-layer="466" to-port="0"/>
+		<edge from-layer="464" from-port="0" to-layer="465" to-port="0"/>
+		<edge from-layer="465" from-port="1" to-layer="466" to-port="1"/>
+		<edge from-layer="466" from-port="2" to-layer="469" to-port="0"/>
+		<edge from-layer="467" from-port="0" to-layer="468" to-port="0"/>
+		<edge from-layer="468" from-port="1" to-layer="469" to-port="1"/>
+		<edge from-layer="469" from-port="2" to-layer="470" to-port="1"/>
+		<edge from-layer="470" from-port="2" to-layer="472" to-port="0"/>
+		<edge from-layer="470" from-port="2" to-layer="475" to-port="0"/>
+		<edge from-layer="470" from-port="2" to-layer="509" to-port="0"/>
+		<edge from-layer="471" from-port="0" to-layer="472" to-port="1"/>
+		<edge from-layer="472" from-port="2" to-layer="474" to-port="0"/>
+		<edge from-layer="473" from-port="0" to-layer="474" to-port="1"/>
+		<edge from-layer="474" from-port="2" to-layer="476" to-port="0"/>
+		<edge from-layer="475" from-port="1" to-layer="476" to-port="1"/>
+		<edge from-layer="476" from-port="2" to-layer="479" to-port="0"/>
+		<edge from-layer="477" from-port="0" to-layer="478" to-port="0"/>
+		<edge from-layer="478" from-port="1" to-layer="479" to-port="1"/>
+		<edge from-layer="479" from-port="2" to-layer="482" to-port="0"/>
+		<edge from-layer="480" from-port="0" to-layer="481" to-port="0"/>
+		<edge from-layer="481" from-port="1" to-layer="482" to-port="1"/>
+		<edge from-layer="482" from-port="2" to-layer="483" to-port="0"/>
+		<edge from-layer="483" from-port="1" to-layer="486" to-port="0"/>
+		<edge from-layer="484" from-port="0" to-layer="485" to-port="0"/>
+		<edge from-layer="485" from-port="1" to-layer="486" to-port="1"/>
+		<edge from-layer="486" from-port="2" to-layer="489" to-port="0"/>
+		<edge from-layer="487" from-port="0" to-layer="488" to-port="0"/>
+		<edge from-layer="488" from-port="1" to-layer="489" to-port="1"/>
+		<edge from-layer="489" from-port="2" to-layer="491" to-port="0"/>
+		<edge from-layer="489" from-port="2" to-layer="494" to-port="0"/>
+		<edge from-layer="490" from-port="0" to-layer="491" to-port="1"/>
+		<edge from-layer="491" from-port="2" to-layer="493" to-port="0"/>
+		<edge from-layer="492" from-port="0" to-layer="493" to-port="1"/>
+		<edge from-layer="493" from-port="2" to-layer="495" to-port="0"/>
+		<edge from-layer="494" from-port="1" to-layer="495" to-port="1"/>
+		<edge from-layer="495" from-port="2" to-layer="498" to-port="0"/>
+		<edge from-layer="496" from-port="0" to-layer="497" to-port="0"/>
+		<edge from-layer="497" from-port="1" to-layer="498" to-port="1"/>
+		<edge from-layer="498" from-port="2" to-layer="501" to-port="0"/>
+		<edge from-layer="499" from-port="0" to-layer="500" to-port="0"/>
+		<edge from-layer="500" from-port="1" to-layer="501" to-port="1"/>
+		<edge from-layer="501" from-port="2" to-layer="502" to-port="0"/>
+		<edge from-layer="502" from-port="1" to-layer="505" to-port="0"/>
+		<edge from-layer="503" from-port="0" to-layer="504" to-port="0"/>
+		<edge from-layer="504" from-port="1" to-layer="505" to-port="1"/>
+		<edge from-layer="505" from-port="2" to-layer="508" to-port="0"/>
+		<edge from-layer="506" from-port="0" to-layer="507" to-port="0"/>
+		<edge from-layer="507" from-port="1" to-layer="508" to-port="1"/>
+		<edge from-layer="508" from-port="2" to-layer="509" to-port="1"/>
+		<edge from-layer="509" from-port="2" to-layer="511" to-port="0"/>
+		<edge from-layer="509" from-port="2" to-layer="514" to-port="0"/>
+		<edge from-layer="509" from-port="2" to-layer="548" to-port="0"/>
+		<edge from-layer="510" from-port="0" to-layer="511" to-port="1"/>
+		<edge from-layer="511" from-port="2" to-layer="513" to-port="0"/>
+		<edge from-layer="512" from-port="0" to-layer="513" to-port="1"/>
+		<edge from-layer="513" from-port="2" to-layer="515" to-port="0"/>
+		<edge from-layer="514" from-port="1" to-layer="515" to-port="1"/>
+		<edge from-layer="515" from-port="2" to-layer="518" to-port="0"/>
+		<edge from-layer="516" from-port="0" to-layer="517" to-port="0"/>
+		<edge from-layer="517" from-port="1" to-layer="518" to-port="1"/>
+		<edge from-layer="518" from-port="2" to-layer="521" to-port="0"/>
+		<edge from-layer="519" from-port="0" to-layer="520" to-port="0"/>
+		<edge from-layer="520" from-port="1" to-layer="521" to-port="1"/>
+		<edge from-layer="521" from-port="2" to-layer="522" to-port="0"/>
+		<edge from-layer="522" from-port="1" to-layer="525" to-port="0"/>
+		<edge from-layer="523" from-port="0" to-layer="524" to-port="0"/>
+		<edge from-layer="524" from-port="1" to-layer="525" to-port="1"/>
+		<edge from-layer="525" from-port="2" to-layer="528" to-port="0"/>
+		<edge from-layer="526" from-port="0" to-layer="527" to-port="0"/>
+		<edge from-layer="527" from-port="1" to-layer="528" to-port="1"/>
+		<edge from-layer="528" from-port="2" to-layer="530" to-port="0"/>
+		<edge from-layer="528" from-port="2" to-layer="533" to-port="0"/>
+		<edge from-layer="529" from-port="0" to-layer="530" to-port="1"/>
+		<edge from-layer="530" from-port="2" to-layer="532" to-port="0"/>
+		<edge from-layer="531" from-port="0" to-layer="532" to-port="1"/>
+		<edge from-layer="532" from-port="2" to-layer="534" to-port="0"/>
+		<edge from-layer="533" from-port="1" to-layer="534" to-port="1"/>
+		<edge from-layer="534" from-port="2" to-layer="537" to-port="0"/>
+		<edge from-layer="535" from-port="0" to-layer="536" to-port="0"/>
+		<edge from-layer="536" from-port="1" to-layer="537" to-port="1"/>
+		<edge from-layer="537" from-port="2" to-layer="540" to-port="0"/>
+		<edge from-layer="538" from-port="0" to-layer="539" to-port="0"/>
+		<edge from-layer="539" from-port="1" to-layer="540" to-port="1"/>
+		<edge from-layer="540" from-port="2" to-layer="541" to-port="0"/>
+		<edge from-layer="541" from-port="1" to-layer="544" to-port="0"/>
+		<edge from-layer="542" from-port="0" to-layer="543" to-port="0"/>
+		<edge from-layer="543" from-port="1" to-layer="544" to-port="1"/>
+		<edge from-layer="544" from-port="2" to-layer="547" to-port="0"/>
+		<edge from-layer="545" from-port="0" to-layer="546" to-port="0"/>
+		<edge from-layer="546" from-port="1" to-layer="547" to-port="1"/>
+		<edge from-layer="547" from-port="2" to-layer="548" to-port="1"/>
+		<edge from-layer="548" from-port="2" to-layer="549" to-port="0"/>
+		<edge from-layer="548" from-port="2" to-layer="554" to-port="0"/>
+		<edge from-layer="549" from-port="1" to-layer="550" to-port="0"/>
+		<edge from-layer="550" from-port="1" to-layer="552" to-port="0"/>
+		<edge from-layer="551" from-port="0" to-layer="552" to-port="1"/>
+		<edge from-layer="551" from-port="0" to-layer="554" to-port="2"/>
+		<edge from-layer="552" from-port="2" to-layer="553" to-port="0"/>
+		<edge from-layer="553" from-port="1" to-layer="554" to-port="1"/>
+		<edge from-layer="554" from-port="3" to-layer="557" to-port="0"/>
+		<edge from-layer="555" from-port="0" to-layer="556" to-port="0"/>
+		<edge from-layer="556" from-port="1" to-layer="557" to-port="1"/>
+		<edge from-layer="557" from-port="2" to-layer="560" to-port="0"/>
+		<edge from-layer="558" from-port="0" to-layer="559" to-port="0"/>
+		<edge from-layer="559" from-port="1" to-layer="560" to-port="1"/>
+		<edge from-layer="560" from-port="2" to-layer="563" to-port="0"/>
+		<edge from-layer="560" from-port="2" to-layer="568" to-port="0"/>
+		<edge from-layer="560" from-port="2" to-layer="571" to-port="0"/>
+		<edge from-layer="561" from-port="0" to-layer="562" to-port="0"/>
+		<edge from-layer="562" from-port="1" to-layer="563" to-port="1"/>
+		<edge from-layer="563" from-port="2" to-layer="566" to-port="0"/>
+		<edge from-layer="564" from-port="0" to-layer="565" to-port="0"/>
+		<edge from-layer="565" from-port="1" to-layer="566" to-port="1"/>
+		<edge from-layer="566" from-port="2" to-layer="605" to-port="0"/>
+		<edge from-layer="567" from-port="0" to-layer="568" to-port="1"/>
+		<edge from-layer="568" from-port="2" to-layer="570" to-port="0"/>
+		<edge from-layer="569" from-port="0" to-layer="570" to-port="1"/>
+		<edge from-layer="570" from-port="2" to-layer="572" to-port="0"/>
+		<edge from-layer="571" from-port="1" to-layer="572" to-port="1"/>
+		<edge from-layer="572" from-port="2" to-layer="575" to-port="0"/>
+		<edge from-layer="573" from-port="0" to-layer="574" to-port="0"/>
+		<edge from-layer="574" from-port="1" to-layer="575" to-port="1"/>
+		<edge from-layer="575" from-port="2" to-layer="578" to-port="0"/>
+		<edge from-layer="576" from-port="0" to-layer="577" to-port="0"/>
+		<edge from-layer="577" from-port="1" to-layer="578" to-port="1"/>
+		<edge from-layer="578" from-port="2" to-layer="579" to-port="0"/>
+		<edge from-layer="579" from-port="1" to-layer="582" to-port="0"/>
+		<edge from-layer="580" from-port="0" to-layer="581" to-port="0"/>
+		<edge from-layer="581" from-port="1" to-layer="582" to-port="1"/>
+		<edge from-layer="582" from-port="2" to-layer="585" to-port="0"/>
+		<edge from-layer="583" from-port="0" to-layer="584" to-port="0"/>
+		<edge from-layer="584" from-port="1" to-layer="585" to-port="1"/>
+		<edge from-layer="585" from-port="2" to-layer="587" to-port="0"/>
+		<edge from-layer="585" from-port="2" to-layer="590" to-port="0"/>
+		<edge from-layer="586" from-port="0" to-layer="587" to-port="1"/>
+		<edge from-layer="587" from-port="2" to-layer="589" to-port="0"/>
+		<edge from-layer="588" from-port="0" to-layer="589" to-port="1"/>
+		<edge from-layer="589" from-port="2" to-layer="591" to-port="0"/>
+		<edge from-layer="590" from-port="1" to-layer="591" to-port="1"/>
+		<edge from-layer="591" from-port="2" to-layer="594" to-port="0"/>
+		<edge from-layer="592" from-port="0" to-layer="593" to-port="0"/>
+		<edge from-layer="593" from-port="1" to-layer="594" to-port="1"/>
+		<edge from-layer="594" from-port="2" to-layer="597" to-port="0"/>
+		<edge from-layer="595" from-port="0" to-layer="596" to-port="0"/>
+		<edge from-layer="596" from-port="1" to-layer="597" to-port="1"/>
+		<edge from-layer="597" from-port="2" to-layer="598" to-port="0"/>
+		<edge from-layer="598" from-port="1" to-layer="601" to-port="0"/>
+		<edge from-layer="599" from-port="0" to-layer="600" to-port="0"/>
+		<edge from-layer="600" from-port="1" to-layer="601" to-port="1"/>
+		<edge from-layer="601" from-port="2" to-layer="604" to-port="0"/>
+		<edge from-layer="602" from-port="0" to-layer="603" to-port="0"/>
+		<edge from-layer="603" from-port="1" to-layer="604" to-port="1"/>
+		<edge from-layer="604" from-port="2" to-layer="605" to-port="1"/>
+		<edge from-layer="605" from-port="2" to-layer="607" to-port="0"/>
+		<edge from-layer="605" from-port="2" to-layer="644" to-port="0"/>
+		<edge from-layer="605" from-port="2" to-layer="610" to-port="0"/>
+		<edge from-layer="606" from-port="0" to-layer="607" to-port="1"/>
+		<edge from-layer="607" from-port="2" to-layer="609" to-port="0"/>
+		<edge from-layer="608" from-port="0" to-layer="609" to-port="1"/>
+		<edge from-layer="609" from-port="2" to-layer="611" to-port="0"/>
+		<edge from-layer="610" from-port="1" to-layer="611" to-port="1"/>
+		<edge from-layer="611" from-port="2" to-layer="614" to-port="0"/>
+		<edge from-layer="612" from-port="0" to-layer="613" to-port="0"/>
+		<edge from-layer="613" from-port="1" to-layer="614" to-port="1"/>
+		<edge from-layer="614" from-port="2" to-layer="617" to-port="0"/>
+		<edge from-layer="615" from-port="0" to-layer="616" to-port="0"/>
+		<edge from-layer="616" from-port="1" to-layer="617" to-port="1"/>
+		<edge from-layer="617" from-port="2" to-layer="618" to-port="0"/>
+		<edge from-layer="618" from-port="1" to-layer="621" to-port="0"/>
+		<edge from-layer="619" from-port="0" to-layer="620" to-port="0"/>
+		<edge from-layer="620" from-port="1" to-layer="621" to-port="1"/>
+		<edge from-layer="621" from-port="2" to-layer="624" to-port="0"/>
+		<edge from-layer="622" from-port="0" to-layer="623" to-port="0"/>
+		<edge from-layer="623" from-port="1" to-layer="624" to-port="1"/>
+		<edge from-layer="624" from-port="2" to-layer="626" to-port="0"/>
+		<edge from-layer="624" from-port="2" to-layer="629" to-port="0"/>
+		<edge from-layer="625" from-port="0" to-layer="626" to-port="1"/>
+		<edge from-layer="626" from-port="2" to-layer="628" to-port="0"/>
+		<edge from-layer="627" from-port="0" to-layer="628" to-port="1"/>
+		<edge from-layer="628" from-port="2" to-layer="630" to-port="0"/>
+		<edge from-layer="629" from-port="1" to-layer="630" to-port="1"/>
+		<edge from-layer="630" from-port="2" to-layer="633" to-port="0"/>
+		<edge from-layer="631" from-port="0" to-layer="632" to-port="0"/>
+		<edge from-layer="632" from-port="1" to-layer="633" to-port="1"/>
+		<edge from-layer="633" from-port="2" to-layer="636" to-port="0"/>
+		<edge from-layer="634" from-port="0" to-layer="635" to-port="0"/>
+		<edge from-layer="635" from-port="1" to-layer="636" to-port="1"/>
+		<edge from-layer="636" from-port="2" to-layer="637" to-port="0"/>
+		<edge from-layer="637" from-port="1" to-layer="640" to-port="0"/>
+		<edge from-layer="638" from-port="0" to-layer="639" to-port="0"/>
+		<edge from-layer="639" from-port="1" to-layer="640" to-port="1"/>
+		<edge from-layer="640" from-port="2" to-layer="643" to-port="0"/>
+		<edge from-layer="641" from-port="0" to-layer="642" to-port="0"/>
+		<edge from-layer="642" from-port="1" to-layer="643" to-port="1"/>
+		<edge from-layer="643" from-port="2" to-layer="644" to-port="1"/>
+		<edge from-layer="644" from-port="2" to-layer="646" to-port="0"/>
+		<edge from-layer="644" from-port="2" to-layer="649" to-port="0"/>
+		<edge from-layer="644" from-port="2" to-layer="683" to-port="0"/>
+		<edge from-layer="645" from-port="0" to-layer="646" to-port="1"/>
+		<edge from-layer="646" from-port="2" to-layer="648" to-port="0"/>
+		<edge from-layer="647" from-port="0" to-layer="648" to-port="1"/>
+		<edge from-layer="648" from-port="2" to-layer="650" to-port="0"/>
+		<edge from-layer="649" from-port="1" to-layer="650" to-port="1"/>
+		<edge from-layer="650" from-port="2" to-layer="653" to-port="0"/>
+		<edge from-layer="651" from-port="0" to-layer="652" to-port="0"/>
+		<edge from-layer="652" from-port="1" to-layer="653" to-port="1"/>
+		<edge from-layer="653" from-port="2" to-layer="656" to-port="0"/>
+		<edge from-layer="654" from-port="0" to-layer="655" to-port="0"/>
+		<edge from-layer="655" from-port="1" to-layer="656" to-port="1"/>
+		<edge from-layer="656" from-port="2" to-layer="657" to-port="0"/>
+		<edge from-layer="657" from-port="1" to-layer="660" to-port="0"/>
+		<edge from-layer="658" from-port="0" to-layer="659" to-port="0"/>
+		<edge from-layer="659" from-port="1" to-layer="660" to-port="1"/>
+		<edge from-layer="660" from-port="2" to-layer="663" to-port="0"/>
+		<edge from-layer="661" from-port="0" to-layer="662" to-port="0"/>
+		<edge from-layer="662" from-port="1" to-layer="663" to-port="1"/>
+		<edge from-layer="663" from-port="2" to-layer="665" to-port="0"/>
+		<edge from-layer="663" from-port="2" to-layer="668" to-port="0"/>
+		<edge from-layer="664" from-port="0" to-layer="665" to-port="1"/>
+		<edge from-layer="665" from-port="2" to-layer="667" to-port="0"/>
+		<edge from-layer="666" from-port="0" to-layer="667" to-port="1"/>
+		<edge from-layer="667" from-port="2" to-layer="669" to-port="0"/>
+		<edge from-layer="668" from-port="1" to-layer="669" to-port="1"/>
+		<edge from-layer="669" from-port="2" to-layer="672" to-port="0"/>
+		<edge from-layer="670" from-port="0" to-layer="671" to-port="0"/>
+		<edge from-layer="671" from-port="1" to-layer="672" to-port="1"/>
+		<edge from-layer="672" from-port="2" to-layer="675" to-port="0"/>
+		<edge from-layer="673" from-port="0" to-layer="674" to-port="0"/>
+		<edge from-layer="674" from-port="1" to-layer="675" to-port="1"/>
+		<edge from-layer="675" from-port="2" to-layer="676" to-port="0"/>
+		<edge from-layer="676" from-port="1" to-layer="679" to-port="0"/>
+		<edge from-layer="677" from-port="0" to-layer="678" to-port="0"/>
+		<edge from-layer="678" from-port="1" to-layer="679" to-port="1"/>
+		<edge from-layer="679" from-port="2" to-layer="682" to-port="0"/>
+		<edge from-layer="680" from-port="0" to-layer="681" to-port="0"/>
+		<edge from-layer="681" from-port="1" to-layer="682" to-port="1"/>
+		<edge from-layer="682" from-port="2" to-layer="683" to-port="1"/>
+		<edge from-layer="683" from-port="2" to-layer="685" to-port="0"/>
+		<edge from-layer="683" from-port="2" to-layer="688" to-port="0"/>
+		<edge from-layer="684" from-port="0" to-layer="685" to-port="1"/>
+		<edge from-layer="685" from-port="2" to-layer="687" to-port="0"/>
+		<edge from-layer="686" from-port="0" to-layer="687" to-port="1"/>
+		<edge from-layer="687" from-port="2" to-layer="689" to-port="0"/>
+		<edge from-layer="688" from-port="1" to-layer="689" to-port="1"/>
+		<edge from-layer="689" from-port="2" to-layer="692" to-port="0"/>
+		<edge from-layer="690" from-port="0" to-layer="691" to-port="0"/>
+		<edge from-layer="691" from-port="1" to-layer="692" to-port="1"/>
+		<edge from-layer="692" from-port="2" to-layer="695" to-port="0"/>
+		<edge from-layer="693" from-port="0" to-layer="694" to-port="0"/>
+		<edge from-layer="694" from-port="1" to-layer="695" to-port="1"/>
+		<edge from-layer="695" from-port="2" to-layer="696" to-port="0"/>
+		<edge from-layer="696" from-port="1" to-layer="699" to-port="0"/>
+		<edge from-layer="697" from-port="0" to-layer="698" to-port="0"/>
+		<edge from-layer="698" from-port="1" to-layer="699" to-port="1"/>
+		<edge from-layer="699" from-port="2" to-layer="702" to-port="0"/>
+		<edge from-layer="700" from-port="0" to-layer="701" to-port="0"/>
+		<edge from-layer="701" from-port="1" to-layer="702" to-port="1"/>
+		<edge from-layer="702" from-port="2" to-layer="703" to-port="0"/>
+	</edges>
+	<meta_data>
+		<MO_version value="2022.2.0-7713-af16ea1d79a-releases/2022/2"/>
+		<Runtime_version value="2022.2.0-7713-af16ea1d79a-releases/2022/2"/>
+		<legacy_path value="False"/>
+		<cli_parameters>
+			<caffe_parser_path value="DIR"/>
+			<compress_fp16 value="True"/>
+			<data_type value="FP32"/>
+			<disable_nhwc_to_nchw value="False"/>
+			<disable_omitting_optional value="False"/>
+			<disable_resnet_optimization value="False"/>
+			<disable_weights_compression value="False"/>
+			<enable_concat_optimization value="False"/>
+			<enable_flattening_nested_params value="False"/>
+			<enable_ssd_gluoncv value="False"/>
+			<extensions value="DIR"/>
+			<framework value="onnx"/>
+			<freeze_placeholder_with_value value="{}"/>
+			<input_model value="DIR\vae_decoder.onnx"/>
+			<input_model_is_text value="False"/>
+			<k value="DIR\CustomLayersMapping.xml"/>
+			<layout value="()"/>
+			<layout_values value="{}"/>
+			<legacy_mxnet_model value="False"/>
+			<log_level value="ERROR"/>
+			<mean_scale_values value="{}"/>
+			<mean_values value="()"/>
+			<model_name value="vae_decoder"/>
+			<output_dir value="DIR"/>
+			<placeholder_data_types value="{}"/>
+			<progress value="False"/>
+			<remove_memory value="False"/>
+			<remove_output_softmax value="False"/>
+			<reverse_input_channels value="False"/>
+			<save_params_from_nd value="False"/>
+			<scale_values value="()"/>
+			<silent value="False"/>
+			<source_layout value="()"/>
+			<static_shape value="False"/>
+			<stream_output value="False"/>
+			<target_layout value="()"/>
+			<transform value=""/>
+			<use_legacy_frontend value="False"/>
+			<use_new_frontend value="False"/>
+			<unset unset_cli_parameters="batch, counts, disable_fusing, finegrain_fusing, input, input_checkpoint, input_meta_graph, input_proto, input_shape, input_symbol, mean_file, mean_file_offsets, nd_prefix_name, output, placeholder_shapes, pretrained_model_name, saved_model_dir, saved_model_tags, scale, tensorboard_logdir, tensorflow_custom_layer_libraries, tensorflow_custom_operations_config_update, tensorflow_object_detection_api_pipeline_config, tensorflow_use_custom_operations_config, transformations_config"/>
+		</cli_parameters>
+	</meta_data>
+</net>