diff --git "a/landscape_768x512/vae_decoder.xml" "b/landscape_768x512/vae_decoder.xml"
new file mode 100644--- /dev/null
+++ "b/landscape_768x512/vae_decoder.xml"
@@ -0,0 +1,14761 @@
+<?xml version="1.0" ?>
+<net name="torch_jit" version="11">
+	<layers>
+		<layer id="0" name="latents" type="Parameter" version="opset1">
+			<data shape="1,4,64,96" 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>96</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="Constant_11891_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 512" offset="0" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" 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="3" name="Constant_11887_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 512" offset="1024" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" 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>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="Constant_11793_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="4, 4, 1, 1" offset="2048" size="32"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="Constant_11793" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+				<attribute name="fused_names" version="0" value="/Constant, /Mul, /post_quant_conv/Conv/WithoutBiases, vae.post_quant_conv.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="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="/Constant, /Mul, /post_quant_conv/Conv/WithoutBiases, vae.post_quant_conv.weight"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>64</dim>
+					<dim>96</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>96</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="Reshape_163_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 4, 1, 1" offset="2080" size="8"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="Reshape_163" 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_162, Reshape_163"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>64</dim>
+					<dim>96</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>96</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>96</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>96</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="Reshape_211_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="38952" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="Reshape_211" 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_210, Reshape_211"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>96</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>96</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>96</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>98304</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="Constant_248" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_248"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="MVN_249" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/resnets.0/norm1/InstanceNormalization, Concat_268, Concat_313, MVN_249, Multiply_296, Reshape_269, Reshape_314"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>98304</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>98304</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>96</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>98304</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>96</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="Constant_11881_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="40008" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="24" name="Constant_11881" 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>96</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>96</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="Constant_11882_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="41032" size="1024"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="27" 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="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>96</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>96</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>96</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>96</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="30" name="vae.decoder.mid_block.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
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+			<data destination_type="f32"/>
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+			<data auto_broadcast="numpy"/>
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+			<data auto_broadcast="numpy"/>
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+			<data special_zero="true"/>
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+		<layer id="61" name="MVN_583" type="MVN" version="opset6">
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+			<data auto_broadcast="numpy"/>
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+				<attribute name="decompression" version="0"/>
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+			<data transpose_a="false" transpose_b="true"/>
+			<rt_info>
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+					<dim>4</dim>
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+			<data transpose_a="false" transpose_b="true"/>
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+			</rt_info>
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+				</port>
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+			<output>
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+			</output>
+		</layer>
+		<layer id="90" name="Constant_11727" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="10009752" size="32"/>
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
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+			</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>
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+					<dim>1</dim>
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+				<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">
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+				</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>
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+					<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>
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+				<port id="1" precision="I64">
+					<dim>3</dim>
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+			</input>
+			<output>
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+					<dim>1</dim>
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+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="94" name="Constant_741" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="9485408" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_741"/>
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+				<port id="0" precision="I64">
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+			</output>
+		</layer>
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+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Transpose_4"/>
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+				<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">
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+					<dim>6144</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="96" name="Constant_11889_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1" offset="10535120" size="2"/>
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="97" name="Constant_11889" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
+			</rt_info>
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+					<dim>1</dim>
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+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="98" name="Multiply_11795" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Add, /decoder/mid_block/attentions.0/Cast, /decoder/mid_block/attentions.0/MatMul, /decoder/mid_block/attentions.0/Mul, /decoder/mid_block/attentions.0/Transpose_4"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
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+				</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>
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+			<output>
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+					<dim>6144</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"/>
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+					<dim>1</dim>
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+			<output>
+				<port id="1" precision="FP32" names="/decoder/mid_block/attentions.0/Cast_1_output_0,/decoder/mid_block/attentions.0/Softmax_output_0">
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+			</output>
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+					<dim>512</dim>
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+		</layer>
+		<layer id="102" name="Constant_11890" type="Convert" version="opset1">
+			<data destination_type="f32"/>
+			<rt_info>
+				<attribute name="decompression" version="0"/>
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+		<layer id="103" name="Constant_11739_compressed" type="Const" version="opset1">
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+					<dim>512</dim>
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+			</output>
+		</layer>
+		<layer id="104" name="Constant_11739" 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/to_v/MatMul, onnx::MatMul_949"/>
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+					<dim>512</dim>
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+			<output>
+				<port id="1" precision="FP32">
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+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
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+			<data transpose_a="false" transpose_b="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/to_v/MatMul, onnx::MatMul_949"/>
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+			</output>
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+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/to_v/Add"/>
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+		</layer>
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+			<rt_info>
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+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
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+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Reshape_5"/>
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+				<port id="1" precision="I64">
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+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Reshape_6"/>
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+				<port id="1" precision="I64">
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+			<data transpose_a="false" transpose_b="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/MatMul_1"/>
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+			<output>
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+					<dim>512</dim>
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+			<rt_info>
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+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
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+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/decoder/mid_block/attentions.0/Reshape_7"/>
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+			<output>
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+			<data special_zero="true"/>
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+					<dim>3</dim>
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+			<rt_info>
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+		<Runtime_version value="2022.2.0-7713-af16ea1d79a-releases/2022/2"/>
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+		<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"/>
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+			<stream_output value="False"/>
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