diff --git "a/vae/vae_decoder.xml" "b/vae/vae_decoder.xml"
new file mode 100644--- /dev/null
+++ "b/vae/vae_decoder.xml"
@@ -0,0 +1,5203 @@
+<?xml version="1.0"?>
+<net name="Model0" version="11">
+	<layers>
+		<layer id="0" name="args" type="Parameter" version="opset1">
+			<data shape="?,?,?,?" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="args">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="Constant_3851_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1, 1" offset="0" size="2" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="Constant_3851" 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>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="__module.decoder/aten::div/Divide" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="16">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="__module.decoder/aten::tanh/Tanh" type="Tanh" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="17">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="Constant_3838_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="64, 16, 3, 3" offset="2" size="18432" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>64</dim>
+					<dim>16</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="Constant_3838" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>64</dim>
+					<dim>16</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>64</dim>
+					<dim>16</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="__module.decoder.layers.0/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>64</dim>
+					<dim>16</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="__module.decoder.layers.0/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 64, 1, 1" offset="18434" size="128" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="__module.decoder.layers.0/aten::_convolution/Reshape" 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>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="__module.decoder.layers.0/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="46,input.3">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="__module.decoder.layers.17.conv.1/aten::relu/Relu" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="47,input.5">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="self.decoder.layers.2.conv.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="64, 64, 3, 3" offset="18562" size="73728" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.layers.2.conv.0.weight">
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="self.decoder.layers.2.conv.0.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="__module.decoder.layers.2.conv.0/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="__module.decoder.layers.2.conv.0/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 64, 1, 1" offset="92290" size="128" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="__module.decoder.layers.2.conv.0/aten::_convolution/Reshape" 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>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="__module.decoder.layers.2.conv.0/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
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+				<port id="1" precision="FP32">
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+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="60,input.7">
+					<dim>-1</dim>
+					<dim>64</dim>
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+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="__module.decoder.layers.17.conv.1/aten::relu/Relu_1" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>64</dim>
+					<dim>-1</dim>
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+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="61,input.9">
+					<dim>-1</dim>
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+			</output>
+		</layer>
+		<layer id="19" name="self.decoder.layers.2.conv.2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="64, 64, 3, 3" offset="92418" size="73728" />
+			<output>
+				<port id="0" precision="FP16" names="self.decoder.layers.2.conv.2.weight">
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="self.decoder.layers.2.conv.2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>64</dim>
+					<dim>64</dim>
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+					<dim>3</dim>
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+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="__module.decoder.layers.2.conv.2/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>64</dim>
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+				<port id="1" precision="FP32">
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+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
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+					<dim>64</dim>
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+			</output>
+		</layer>
+		<layer id="22" name="__module.decoder.layers.2.conv.2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 64, 1, 1" offset="166146" size="128" />
+			<output>
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+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="__module.decoder.layers.2.conv.2/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
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+					<dim>64</dim>
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+				</port>
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+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="24" name="__module.decoder.layers.2.conv.2/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+					<dim>1</dim>
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+			</input>
+			<output>
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+			</output>
+		</layer>
+		<layer id="25" name="__module.decoder.layers.17.conv.1/aten::relu/Relu_2" type="ReLU" version="opset1">
+			<input>
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+		<layer id="26" name="self.decoder.layers.2.conv.4.weight_compressed" type="Const" version="opset1">
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+		</layer>
+		<layer id="27" name="self.decoder.layers.2.conv.4.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+					<dim>3</dim>
+					<dim>3</dim>
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+			</output>
+		</layer>
+		<layer id="28" name="__module.decoder.layers.2.conv.4/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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+		<layer id="29" name="__module.decoder.layers.2.conv.4/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 64, 1, 1" offset="240002" size="128" />
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+					<dim>1</dim>
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+		</layer>
+		<layer id="30" name="__module.decoder.layers.2.conv.4/aten::_convolution/Reshape" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
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+		</layer>
+		<layer id="31" name="__module.decoder.layers.2.conv.4/aten::_convolution/Add" type="Add" version="opset1">
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+	</rt_info>
+</net>