diff --git "a/openvino/inception_resnet_v1/best.xml" "b/openvino/inception_resnet_v1/best.xml"
new file mode 100644--- /dev/null
+++ "b/openvino/inception_resnet_v1/best.xml"
@@ -0,0 +1,20191 @@
+<?xml version="1.0"?>
+<net name="Model0" version="11">
+	<layers>
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+			<output>
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+			</output>
+		</layer>
+		<layer id="1" name="Multiply_18390_compressed" type="Const" version="opset1">
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+					<dim>3</dim>
+					<dim>3</dim>
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+			</output>
+		</layer>
+		<layer id="2" name="Multiply_18390" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
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+					<dim>3</dim>
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+		</layer>
+		<layer id="3" name="Multiply_17524" type="Convolution" version="opset1">
+			<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
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+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+		</layer>
+		<layer id="6" name="__module.conv2d_1a.bn/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+		<layer id="7" name="__module.conv2d_1a.relu/aten::relu/Relu" type="ReLU" version="opset1">
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+				<port id="0" precision="FP32">
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+			<data destination_type="f32" />
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+		</layer>
+		<layer id="12" name="Constant_17536" 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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+				<port id="1" precision="FP32">
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+					<dim>32</dim>
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+			</output>
+		</layer>
+		<layer id="13" name="__module.conv2d_2a.bn/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+			<data destination_type="f32" />
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+		<layer id="21" name="__module.conv2d_2b.relu/aten::relu/Relu" type="ReLU" version="opset1">
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