diff --git "a/resnet50_fp16.xml" "b/resnet50_fp16.xml"
new file mode 100644--- /dev/null
+++ "b/resnet50_fp16.xml"
@@ -0,0 +1,8052 @@
+<?xml version="1.0"?>
+<net name="Model2" version="11">
+	<layers>
+		<layer id="0" name="x" type="Parameter" version="opset1">
+			<data shape="1,3,224,224" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="x">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>224</dim>
+					<dim>224</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="Constant_18_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="64, 3, 7, 7" offset="0" size="18816" />
+			<output>
+				<port id="0" precision="FP16" names="14,self.conv1.weight_fused_bn">
+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>7</dim>
+					<dim>7</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="Constant_18" 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>3</dim>
+					<dim>7</dim>
+					<dim>7</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>7</dim>
+					<dim>7</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="aten::conv2d/Convolution" type="Convolution" version="opset1">
+			<data strides="2, 2" dilations="1, 1" pads_begin="3, 3" pads_end="3, 3" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>224</dim>
+					<dim>224</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>7</dim>
+					<dim>7</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>112</dim>
+					<dim>112</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="aten::conv2d/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 64, 1, 1" offset="18816" 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="5" name="aten::conv2d/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="6" name="aten::conv2d/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>112</dim>
+					<dim>112</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="16_1">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>112</dim>
+					<dim>112</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="aten::relu_/Relu" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>112</dim>
+					<dim>112</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="16,x.5">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>112</dim>
+					<dim>112</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="aten::max_pool2d/MaxPool" type="MaxPool" version="opset8">
+			<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" kernel="3, 3" rounding_type="floor" auto_pad="explicit" index_element_type="i64" axis="2" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>112</dim>
+					<dim>112</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="18,x.17">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>56</dim>
+					<dim>56</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>56</dim>
+					<dim>56</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="Constant_43_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="64, 64, 1, 1" offset="18944" size="8192" />
+			<output>
+				<port id="0" precision="FP16" names="19,self.layer1.0.conv1.weight_fused_bn">
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="Constant_43" 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>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="aten::conv2d/Convolution_1" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>56</dim>
+					<dim>56</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>56</dim>
+					<dim>56</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="aten::conv2d/Reshape_1_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 64, 1, 1" offset="27136" 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="13" name="aten::conv2d/Reshape_1" 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="14" name="aten::conv2d/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>56</dim>
+					<dim>56</dim>
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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="21_1">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>56</dim>
+					<dim>56</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="aten::relu_/Relu_1" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>56</dim>
+					<dim>56</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="21,out.3">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>56</dim>
+					<dim>56</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="Constant_67_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="64, 64, 3, 3" offset="27264" size="73728" />
+			<output>
+				<port id="0" precision="FP16" names="23,self.layer1.0.conv2.weight_fused_bn">
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="Constant_67" 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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+			<output>
+				<port id="1" precision="FP32">
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="aten::conv2d/Convolution_2" 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>
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+				<port id="1" precision="FP32">
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+					<dim>64</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>56</dim>
+					<dim>56</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="aten::conv2d/Reshape_2_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 64, 1, 1" offset="100992" size="128" />
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+			</output>
+		</layer>
+		<layer id="20" name="aten::conv2d/Reshape_2" 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>
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+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="21" name="aten::conv2d/Add_2" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>1</dim>
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+					<dim>56</dim>
+					<dim>56</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="aten::relu_/Relu_2" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
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+		</layer>
+		<layer id="23" name="Constant_91_compressed" type="Const" version="opset1">
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+		</layer>
+		<layer id="24" name="Constant_91" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<input>
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+		</layer>
+		<layer id="25" name="aten::conv2d/Convolution_3" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
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