diff --git "a/regnety_016.tv2_in1k/openvino_int8/model.xml" "b/regnety_016.tv2_in1k/openvino_int8/model.xml"
new file mode 100644--- /dev/null
+++ "b/regnety_016.tv2_in1k/openvino_int8/model.xml"
@@ -0,0 +1,29753 @@
+<?xml version="1.0"?>
+<net name="Model0" version="11">
+	<layers>
+		<layer id="0" name="x" type="Parameter" version="opset1">
+			<data shape="?,3,?,?" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="x">
+					<dim>-1</dim>
+					<dim>3</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="x/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="2" name="x/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="4" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="3" name="x/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="4" name="x/fq_output_0/output_high" type="Const" version="opset1">
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+			<output>
+				<port id="0" precision="FP32" />
+			</output>
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+		<layer id="5" name="x/fq_output_0" type="FakeQuantize" version="opset1">
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+		<layer id="12" name="__module.stem.bn/aten::batch_norm/BatchNormInference" type="Add" version="opset1">
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+				<port id="0" precision="FP32">
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+		</layer>
+		<layer id="13" name="__module.stem.bn.act/aten::relu_/Relu" type="ReLU" version="opset1">
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+				<port id="0" precision="FP32">
+					<dim>-1</dim>
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+					<dim>-1</dim>
+					<dim>32</dim>
+					<dim>-1</dim>
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+			</output>
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+		<layer id="14" name="__module.stem.bn.act/aten::relu_/Relu/fq_output_0/input_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="15" name="__module.stem.bn.act/aten::relu_/Relu/fq_output_0/input_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="1128" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="16" name="__module.stem.bn.act/aten::relu_/Relu/fq_output_0/output_low" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="0" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="17" name="__module.stem.bn.act/aten::relu_/Relu/fq_output_0/output_high" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="1128" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="18" name="__module.stem.bn.act/aten::relu_/Relu/fq_output_0" type="FakeQuantize" version="opset1">
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+				<port id="0" precision="I8">
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+		<layer id="22" name="Multiply_22346/fq_weights_1" type="Multiply" version="opset1">
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