diff --git "a/basic/ddpm.xml" "b/basic/ddpm.xml"
new file mode 100644--- /dev/null
+++ "b/basic/ddpm.xml"
@@ -0,0 +1,142040 @@
+<?xml version="1.0"?>
+<net name="Model0" version="11">
+	<layers>
+		<layer id="2" name="x" type="Parameter" version="opset1">
+			<data shape="1,16,128,32" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="x_noisy">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>128</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="t" type="Parameter" version="opset1">
+			<data shape="1" element_type="i64" />
+			<output>
+				<port id="0" precision="I64" names="t">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="0" name="cond" type="Parameter" version="opset1">
+			<data shape="1,16,128,32" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="cond">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>128</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="Constant_646441_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="4" name="Constant_646441" 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="5" name="aten::mul/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
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+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="10,cond">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>128</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="aten::cat/Concat" type="Concat" version="opset1">
+			<data axis="1" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>128</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>128</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="123,13,input.7,x.5">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>128</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="self.diffusion_model.input_blocks.0.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 32, 3, 3" offset="2" size="73728" />
+			<output>
+				<port id="0" precision="FP16" names="self.diffusion_model.input_blocks.0.0.weight">
+					<dim>128</dim>
+					<dim>32</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="self.diffusion_model.input_blocks.0.0.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>128</dim>
+					<dim>32</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>32</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="__module.diffusion_model.input_blocks.0.0/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>32</dim>
+					<dim>128</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+					<dim>32</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="__module.diffusion_model.input_blocks.0.0/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="73730" size="256" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="__module.diffusion_model.input_blocks.0.0/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>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="__module.diffusion_model.input_blocks.0.0/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="131,142,147,158,190,193,input.9,x.7">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="self.diffusion_model.input_blocks.1.0.in_layers.0.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128" offset="73986" size="256" />
+			<output>
+				<port id="0" precision="FP16" names="self.diffusion_model.input_blocks.1.0.in_layers.0.weight">
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="self.diffusion_model.input_blocks.1.0.in_layers.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">
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+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="self.diffusion_model.input_blocks.1.0.in_layers.0.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128" offset="74242" size="256" />
+			<output>
+				<port id="0" precision="FP16" names="self.diffusion_model.input_blocks.1.0.in_layers.0.bias">
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="self.diffusion_model.input_blocks.1.0.in_layers.0.bias" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
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+			</rt_info>
+			<input>
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+			<output>
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+			</output>
+		</layer>
+		<layer id="17" name="__module.diffusion_model.input_blocks.1.0.in_layers.0/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999997473787516e-06" />
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+		</layer>
+		<layer id="18" name="__module.diffusion_model.input_blocks.1.0.in_layers.1/aten::silu/Swish" type="Swish" version="opset4">
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+		</layer>
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+		<layer id="20" name="self.diffusion_model.input_blocks.1.0.in_layers.2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+		<layer id="21" name="__module.diffusion_model.input_blocks.1.0.in_layers.2/aten::_convolution/Convolution" type="Convolution" version="opset1">
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+		<layer id="22" name="__module.diffusion_model.input_blocks.1.0.in_layers.2/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
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