diff --git "a/vae_decoder/openvino_model.xml" "b/vae_decoder/openvino_model.xml"
new file mode 100644--- /dev/null
+++ "b/vae_decoder/openvino_model.xml"
@@ -0,0 +1,3630 @@
+<?xml version="1.0"?>
+<net name="Model0" version="11">
+	<layers>
+		<layer id="0" name="latent_sample" type="Parameter" version="opset1">
+			<data shape="?,?,?,?" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="latent_sample">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
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+			</output>
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+		<layer id="1" name="Constant_2188" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="0" size="4" />
+			<output>
+				<port id="0" precision="FP32">
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+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="__module.decoder/aten::div/Divide" type="Divide" version="opset1">
+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<input>
+				<port id="0" precision="FP32">
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="76">
+					<dim>-1</dim>
+					<dim>-1</dim>
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+					<dim>-1</dim>
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+			</output>
+		</layer>
+		<layer id="3" 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>
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+			<output>
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+		</layer>
+		<layer id="4" name="Constant_2178" type="Const" version="opset1">
+			<data element_type="f32" shape="64, 4, 3, 3" offset="4" size="9216" />
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+		<layer id="5" 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>
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+			<output>
+				<port id="2" precision="FP32">
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+					<dim>64</dim>
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+		<layer id="6" name="__module.decoder.layers.0/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 64, 1, 1" offset="9220" size="256" />
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+		<layer id="7" name="__module.decoder.layers.0/aten::_convolution/Add_3" type="Add" version="opset1">
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+		<layer id="8" name="__module.decoder.layers.17.conv.1/aten::relu/Relu" type="ReLU" version="opset1">
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+				<port id="0" precision="FP32">
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+			<data auto_broadcast="numpy" />
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