vae_encoder/openvino_model.xml

<?xml version="1.0"?>
<net name="Model6" version="11">
	<layers>
		<layer id="0" name="sample" type="Parameter" version="opset1">
			<data shape="?,3,?,?" element_type="f32" />
			<output>
				<port id="0" precision="FP32" names="sample">
					<dim>-1</dim>
					<dim>3</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="1" name="self.encoder.conv_in.weight" type="Const" version="opset1">
			<data element_type="f32" shape="128, 3, 3, 3" offset="0" size="13824" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.conv_in.weight">
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="2" name="__module.encoder.conv_in/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>3</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="3" name="__module.encoder.conv_in/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="13824" size="512" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="4" name="__module.encoder.conv_in/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</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="92,input.1">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="5" name="__module.encoder.down_blocks.0.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="14336" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="6" name="__module.encoder.down_blocks.0.resnets.0.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="7" name="__module.encoder.down_blocks.0.resnets.0.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="14348" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="8" name="__module.encoder.down_blocks.0.resnets.0.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="9" name="__module.encoder.down_blocks.0.resnets.0.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
			<data output_type="i32" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="10" name="__module.encoder.down_blocks.0.resnets.0.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="11" name="Constant_153647" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="14352" size="512" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="12" name="__module.encoder.down_blocks.0.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</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">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="13" name="Constant_153648" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="14864" size="512" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="14" name="__module.encoder.down_blocks.0.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</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="106,input.3">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="15" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="107">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="16" name="self.encoder.down_blocks.0.resnets.0.conv1.weight" type="Const" version="opset1">
			<data element_type="f32" shape="128, 128, 3, 3" offset="15376" size="589824" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.down_blocks.0.resnets.0.conv1.weight">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="17" name="__module.encoder.down_blocks.0.resnets.0.conv1/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>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="18" name="__module.encoder.down_blocks.0.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="605200" size="512" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="19" name="__module.encoder.down_blocks.0.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</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="114,input.5">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="20" name="__module.encoder.down_blocks.0.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="14336" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="21" name="__module.encoder.down_blocks.0.resnets.0.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="22" name="__module.encoder.down_blocks.0.resnets.0.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="14348" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="23" name="__module.encoder.down_blocks.0.resnets.0.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="24" name="__module.encoder.down_blocks.0.resnets.0.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
			<data output_type="i32" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="25" name="__module.encoder.down_blocks.0.resnets.0.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="26" name="Constant_153649" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="605712" size="512" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="27" name="__module.encoder.down_blocks.0.resnets.0.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</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">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="28" name="Constant_153650" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="606224" size="512" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="29" name="__module.encoder.down_blocks.0.resnets.0.norm2/aten::group_norm/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</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="117,input.7">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="30" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="118,input.9">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="31" name="self.encoder.down_blocks.0.resnets.0.conv2.weight" type="Const" version="opset1">
			<data element_type="f32" shape="128, 128, 3, 3" offset="606736" size="589824" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.down_blocks.0.resnets.0.conv2.weight">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="32" name="__module.encoder.down_blocks.0.resnets.0.conv2/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>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="33" name="__module.encoder.down_blocks.0.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="1196560" size="512" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="34" name="__module.encoder.down_blocks.0.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</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="126,hidden_states.1">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="35" name="__module.encoder.down_blocks.0.resnets.0/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</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="127,128,input.11">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="36" name="__module.encoder.down_blocks.0.resnets.1.norm1/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="14336" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="37" name="__module.encoder.down_blocks.0.resnets.1.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="38" name="__module.encoder.down_blocks.0.resnets.1.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="14348" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="39" name="__module.encoder.down_blocks.0.resnets.1.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="40" name="__module.encoder.down_blocks.0.resnets.1.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
			<data output_type="i32" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="41" name="__module.encoder.down_blocks.0.resnets.1.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="42" name="Constant_153651" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="1197072" size="512" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="43" name="__module.encoder.down_blocks.0.resnets.1.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</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">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="44" name="Constant_153652" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="1197584" size="512" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="45" name="__module.encoder.down_blocks.0.resnets.1.norm1/aten::group_norm/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</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="136,input.13">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="46" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_2" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="137">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="47" name="self.encoder.down_blocks.0.resnets.1.conv1.weight" type="Const" version="opset1">
			<data element_type="f32" shape="128, 128, 3, 3" offset="1198096" size="589824" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.down_blocks.0.resnets.1.conv1.weight">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="48" name="__module.encoder.down_blocks.0.resnets.1.conv1/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>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="49" name="__module.encoder.down_blocks.0.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="1787920" size="512" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="50" name="__module.encoder.down_blocks.0.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</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="144,input.15">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="51" name="__module.encoder.down_blocks.0.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="14336" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="52" name="__module.encoder.down_blocks.0.resnets.1.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="53" name="__module.encoder.down_blocks.0.resnets.1.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="14348" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="54" name="__module.encoder.down_blocks.0.resnets.1.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="55" name="__module.encoder.down_blocks.0.resnets.1.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
			<data output_type="i32" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="56" name="__module.encoder.down_blocks.0.resnets.1.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="57" name="Constant_153653" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="1788432" size="512" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="58" name="__module.encoder.down_blocks.0.resnets.1.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</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">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="59" name="Constant_153654" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="1788944" size="512" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="60" name="__module.encoder.down_blocks.0.resnets.1.norm2/aten::group_norm/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</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="147,input.17">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="61" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_3" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="148,input.19">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="62" name="self.encoder.down_blocks.0.resnets.1.conv2.weight" type="Const" version="opset1">
			<data element_type="f32" shape="128, 128, 3, 3" offset="1789456" size="589824" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.down_blocks.0.resnets.1.conv2.weight">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="63" name="__module.encoder.down_blocks.0.resnets.1.conv2/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>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="64" name="__module.encoder.down_blocks.0.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="2379280" size="512" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="65" name="__module.encoder.down_blocks.0.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</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="156,hidden_states.3">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="66" name="__module.encoder.down_blocks.0.resnets.1/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</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="157,158,hidden_states.5">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="67" name="self.encoder.down_blocks.0.downsamplers.0.conv.weight" type="Const" version="opset1">
			<data element_type="f32" shape="128, 128, 3, 3" offset="2379792" size="589824" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.down_blocks.0.downsamplers.0.conv.weight">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="68" name="__module.encoder.down_blocks.0.downsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="69" name="__module.encoder.down_blocks.0.downsamplers.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="2969616" size="512" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="70" name="__module.encoder.down_blocks.0.downsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</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="168,input.21">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="71" name="self.encoder.down_blocks.1.resnets.0.conv_shortcut.weight" type="Const" version="opset1">
			<data element_type="f32" shape="256, 128, 1, 1" offset="2970128" size="131072" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.down_blocks.1.resnets.0.conv_shortcut.weight">
					<dim>256</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="72" name="__module.encoder.down_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Convolution" 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>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>256</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="73" name="__module.encoder.down_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="3101200" size="1024" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="74" name="__module.encoder.down_blocks.1.resnets.0.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="210,input_tensor.1">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="75" name="__module.encoder.down_blocks.1.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="14336" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="76" name="__module.encoder.down_blocks.1.resnets.0.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="77" name="__module.encoder.down_blocks.1.resnets.0.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="14348" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="78" name="__module.encoder.down_blocks.1.resnets.0.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="79" name="__module.encoder.down_blocks.1.resnets.0.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
			<data output_type="i32" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="80" name="__module.encoder.down_blocks.1.resnets.0.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="81" name="Constant_153655" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="3102224" size="512" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="82" name="__module.encoder.down_blocks.1.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</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">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="83" name="Constant_153656" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="3102736" size="512" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>128</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="84" name="__module.encoder.down_blocks.1.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</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="183,input.23">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="85" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_4" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="184">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="86" name="self.encoder.down_blocks.1.resnets.0.conv1.weight" type="Const" version="opset1">
			<data element_type="f32" shape="256, 128, 3, 3" offset="3103248" size="1179648" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.down_blocks.1.resnets.0.conv1.weight">
					<dim>256</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="87" name="__module.encoder.down_blocks.1.resnets.0.conv1/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>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>256</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="88" name="__module.encoder.down_blocks.1.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="4282896" size="1024" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="89" name="__module.encoder.down_blocks.1.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="191,input.25">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="90" name="__module.encoder.down_blocks.1.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="14336" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="91" name="__module.encoder.down_blocks.1.resnets.0.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="92" name="__module.encoder.down_blocks.1.resnets.0.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="14348" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="93" name="__module.encoder.down_blocks.1.resnets.0.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="94" name="__module.encoder.down_blocks.1.resnets.0.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
			<data output_type="i32" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="95" name="__module.encoder.down_blocks.1.resnets.0.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="96" name="Constant_153657" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="4283920" size="1024" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="97" name="__module.encoder.down_blocks.1.resnets.0.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="98" name="Constant_153658" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="4284944" size="1024" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="99" name="__module.encoder.down_blocks.1.resnets.0.norm2/aten::group_norm/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="194,input.27">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="100" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_5" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="195,input.29">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="101" name="self.encoder.down_blocks.1.resnets.0.conv2.weight" type="Const" version="opset1">
			<data element_type="f32" shape="256, 256, 3, 3" offset="4285968" size="2359296" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.down_blocks.1.resnets.0.conv2.weight">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="102" name="__module.encoder.down_blocks.1.resnets.0.conv2/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>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="103" name="__module.encoder.down_blocks.1.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="6645264" size="1024" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="104" name="__module.encoder.down_blocks.1.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="203,hidden_states.9">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="105" name="__module.encoder.down_blocks.1.resnets.0/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="211,212,input.31">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="106" name="__module.encoder.down_blocks.1.resnets.1.norm1/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="14336" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="107" name="__module.encoder.down_blocks.1.resnets.1.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="108" name="__module.encoder.down_blocks.1.resnets.1.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="14348" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="109" name="__module.encoder.down_blocks.1.resnets.1.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="110" name="__module.encoder.down_blocks.1.resnets.1.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
			<data output_type="i32" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="111" name="__module.encoder.down_blocks.1.resnets.1.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="112" name="Constant_153659" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="6646288" size="1024" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="113" name="__module.encoder.down_blocks.1.resnets.1.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="114" name="Constant_153660" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="6647312" size="1024" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="115" name="__module.encoder.down_blocks.1.resnets.1.norm1/aten::group_norm/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="220,input.33">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="116" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_6" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="221">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="117" name="self.encoder.down_blocks.1.resnets.1.conv1.weight" type="Const" version="opset1">
			<data element_type="f32" shape="256, 256, 3, 3" offset="6648336" size="2359296" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.down_blocks.1.resnets.1.conv1.weight">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="118" name="__module.encoder.down_blocks.1.resnets.1.conv1/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>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="119" name="__module.encoder.down_blocks.1.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="9007632" size="1024" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="120" name="__module.encoder.down_blocks.1.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="228,input.35">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="121" name="__module.encoder.down_blocks.1.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="14336" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="122" name="__module.encoder.down_blocks.1.resnets.1.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="123" name="__module.encoder.down_blocks.1.resnets.1.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="14348" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="124" name="__module.encoder.down_blocks.1.resnets.1.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="125" name="__module.encoder.down_blocks.1.resnets.1.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
			<data output_type="i32" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="126" name="__module.encoder.down_blocks.1.resnets.1.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="127" name="Constant_153661" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="9008656" size="1024" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="128" name="__module.encoder.down_blocks.1.resnets.1.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="129" name="Constant_153662" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="9009680" size="1024" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="130" name="__module.encoder.down_blocks.1.resnets.1.norm2/aten::group_norm/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="231,input.37">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="131" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_7" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="232,input.39">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="132" name="self.encoder.down_blocks.1.resnets.1.conv2.weight" type="Const" version="opset1">
			<data element_type="f32" shape="256, 256, 3, 3" offset="9010704" size="2359296" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.down_blocks.1.resnets.1.conv2.weight">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="133" name="__module.encoder.down_blocks.1.resnets.1.conv2/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>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="134" name="__module.encoder.down_blocks.1.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="11370000" size="1024" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="135" name="__module.encoder.down_blocks.1.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="240,hidden_states.11">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="136" name="__module.encoder.down_blocks.1.resnets.1/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="241,242,hidden_states.13">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="137" name="self.encoder.down_blocks.1.downsamplers.0.conv.weight" type="Const" version="opset1">
			<data element_type="f32" shape="256, 256, 3, 3" offset="11371024" size="2359296" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.down_blocks.1.downsamplers.0.conv.weight">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="138" name="__module.encoder.down_blocks.1.downsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="139" name="__module.encoder.down_blocks.1.downsamplers.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="13730320" size="1024" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="140" name="__module.encoder.down_blocks.1.downsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="252,input.41">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="141" name="self.encoder.down_blocks.2.resnets.0.conv_shortcut.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 256, 1, 1" offset="13731344" size="524288" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.down_blocks.2.resnets.0.conv_shortcut.weight">
					<dim>512</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="142" name="__module.encoder.down_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Convolution" 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>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>512</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="143" name="__module.encoder.down_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="14255632" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="144" name="__module.encoder.down_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="294,input_tensor">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="145" name="__module.encoder.down_blocks.2.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="14336" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="146" name="__module.encoder.down_blocks.2.resnets.0.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="147" name="__module.encoder.down_blocks.2.resnets.0.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="14348" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="148" name="__module.encoder.down_blocks.2.resnets.0.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="149" name="__module.encoder.down_blocks.2.resnets.0.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
			<data output_type="i32" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="150" name="__module.encoder.down_blocks.2.resnets.0.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="151" name="Constant_153663" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="14257680" size="1024" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="152" name="__module.encoder.down_blocks.2.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="153" name="Constant_153664" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="14258704" size="1024" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="154" name="__module.encoder.down_blocks.2.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="267,input.43">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="155" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_8" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="268">
					<dim>-1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="156" name="self.encoder.down_blocks.2.resnets.0.conv1.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 256, 3, 3" offset="14259728" size="4718592" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.down_blocks.2.resnets.0.conv1.weight">
					<dim>512</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="157" name="__module.encoder.down_blocks.2.resnets.0.conv1/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>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>512</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="158" name="__module.encoder.down_blocks.2.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="18978320" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="159" name="__module.encoder.down_blocks.2.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="275,input.45">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="160" name="__module.encoder.down_blocks.2.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="14336" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="161" name="__module.encoder.down_blocks.2.resnets.0.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="162" name="__module.encoder.down_blocks.2.resnets.0.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="14348" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="163" name="__module.encoder.down_blocks.2.resnets.0.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="164" name="__module.encoder.down_blocks.2.resnets.0.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
			<data output_type="i32" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="165" name="__module.encoder.down_blocks.2.resnets.0.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="166" name="Constant_153665" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="18980368" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="167" name="__module.encoder.down_blocks.2.resnets.0.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="168" name="Constant_153666" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="18982416" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="169" name="__module.encoder.down_blocks.2.resnets.0.norm2/aten::group_norm/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="278,input.47">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="170" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_9" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="279,input.49">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="171" name="self.encoder.down_blocks.2.resnets.0.conv2.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="18984464" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.down_blocks.2.resnets.0.conv2.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="172" name="__module.encoder.down_blocks.2.resnets.0.conv2/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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="173" name="__module.encoder.down_blocks.2.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="28421648" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="174" name="__module.encoder.down_blocks.2.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="287,hidden_states.17">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="175" name="__module.encoder.down_blocks.2.resnets.0/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="295,296,input.51">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="176" name="__module.encoder.down_blocks.2.resnets.1.norm1/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="14336" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="177" name="__module.encoder.down_blocks.2.resnets.1.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="178" name="__module.encoder.down_blocks.2.resnets.1.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="14348" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="179" name="__module.encoder.down_blocks.2.resnets.1.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="180" name="__module.encoder.down_blocks.2.resnets.1.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
			<data output_type="i32" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="181" name="__module.encoder.down_blocks.2.resnets.1.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="182" name="Constant_153667" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="28423696" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="183" name="__module.encoder.down_blocks.2.resnets.1.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="184" name="Constant_153668" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="28425744" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="185" name="__module.encoder.down_blocks.2.resnets.1.norm1/aten::group_norm/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="304,input.53">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="186" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_10" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="305">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="187" name="self.encoder.down_blocks.2.resnets.1.conv1.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="28427792" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.down_blocks.2.resnets.1.conv1.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="188" name="__module.encoder.down_blocks.2.resnets.1.conv1/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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="189" name="__module.encoder.down_blocks.2.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="37864976" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="190" name="__module.encoder.down_blocks.2.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="312,input.55">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="191" name="__module.encoder.down_blocks.2.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="14336" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="192" name="__module.encoder.down_blocks.2.resnets.1.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="193" name="__module.encoder.down_blocks.2.resnets.1.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="14348" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="194" name="__module.encoder.down_blocks.2.resnets.1.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="195" name="__module.encoder.down_blocks.2.resnets.1.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
			<data output_type="i32" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="196" name="__module.encoder.down_blocks.2.resnets.1.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="197" name="Constant_153669" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="37867024" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="198" name="__module.encoder.down_blocks.2.resnets.1.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="199" name="Constant_153670" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="37869072" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="200" name="__module.encoder.down_blocks.2.resnets.1.norm2/aten::group_norm/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="315,input.57">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="201" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_11" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="316,input.59">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="202" name="self.encoder.down_blocks.2.resnets.1.conv2.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="37871120" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.down_blocks.2.resnets.1.conv2.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="203" name="__module.encoder.down_blocks.2.resnets.1.conv2/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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="204" name="__module.encoder.down_blocks.2.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="47308304" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="205" name="__module.encoder.down_blocks.2.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="324,hidden_states.19">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="206" name="__module.encoder.down_blocks.2.resnets.1/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="325,326,hidden_states.21">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="207" name="self.encoder.down_blocks.2.downsamplers.0.conv.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="47310352" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.down_blocks.2.downsamplers.0.conv.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="208" name="__module.encoder.down_blocks.2.downsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
			<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="209" name="__module.encoder.down_blocks.2.downsamplers.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="56747536" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="210" name="__module.encoder.down_blocks.2.downsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="336,input.61">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="211" name="__module.encoder.down_blocks.3.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="14336" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="212" name="__module.encoder.down_blocks.3.resnets.0.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="213" name="__module.encoder.down_blocks.3.resnets.0.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="14348" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="214" name="__module.encoder.down_blocks.3.resnets.0.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="215" name="__module.encoder.down_blocks.3.resnets.0.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
			<data output_type="i32" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="216" name="__module.encoder.down_blocks.3.resnets.0.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="217" name="Constant_153671" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="56749584" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="218" name="__module.encoder.down_blocks.3.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="219" name="Constant_153672" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="56751632" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="220" name="__module.encoder.down_blocks.3.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="348,input.63">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="221" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_12" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="349">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="222" name="self.encoder.down_blocks.3.resnets.0.conv1.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="56753680" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.down_blocks.3.resnets.0.conv1.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="223" name="__module.encoder.down_blocks.3.resnets.0.conv1/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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="224" name="__module.encoder.down_blocks.3.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="66190864" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="225" name="__module.encoder.down_blocks.3.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="356,input.65">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="226" name="__module.encoder.down_blocks.3.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="14336" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="227" name="__module.encoder.down_blocks.3.resnets.0.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="228" name="__module.encoder.down_blocks.3.resnets.0.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="14348" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="229" name="__module.encoder.down_blocks.3.resnets.0.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="230" name="__module.encoder.down_blocks.3.resnets.0.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
			<data output_type="i32" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="231" name="__module.encoder.down_blocks.3.resnets.0.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="232" name="Constant_153673" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="66192912" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="233" name="__module.encoder.down_blocks.3.resnets.0.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="234" name="Constant_153674" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="66194960" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="235" name="__module.encoder.down_blocks.3.resnets.0.norm2/aten::group_norm/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="359,input.67">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="236" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_13" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="360,input.69">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="237" name="self.encoder.down_blocks.3.resnets.0.conv2.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="66197008" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.down_blocks.3.resnets.0.conv2.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="238" name="__module.encoder.down_blocks.3.resnets.0.conv2/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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="239" name="__module.encoder.down_blocks.3.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="75634192" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="240" name="__module.encoder.down_blocks.3.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="368,hidden_states.25">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="241" name="__module.encoder.down_blocks.3.resnets.0/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="369,370,input.71">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="242" name="__module.encoder.down_blocks.3.resnets.1.norm1/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="14336" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="243" name="__module.encoder.down_blocks.3.resnets.1.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="244" name="__module.encoder.down_blocks.3.resnets.1.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="14348" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="245" name="__module.encoder.down_blocks.3.resnets.1.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="246" name="__module.encoder.down_blocks.3.resnets.1.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
			<data output_type="i32" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="247" name="__module.encoder.down_blocks.3.resnets.1.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="248" name="Constant_153675" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="75636240" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="249" name="__module.encoder.down_blocks.3.resnets.1.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="250" name="Constant_153676" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="75638288" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="251" name="__module.encoder.down_blocks.3.resnets.1.norm1/aten::group_norm/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="378,input.73">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="252" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_14" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="379">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="253" name="self.encoder.down_blocks.3.resnets.1.conv1.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="75640336" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.down_blocks.3.resnets.1.conv1.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="254" name="__module.encoder.down_blocks.3.resnets.1.conv1/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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="255" name="__module.encoder.down_blocks.3.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="85077520" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="256" name="__module.encoder.down_blocks.3.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="386,input.75">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="257" name="__module.encoder.down_blocks.3.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="14336" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="258" name="__module.encoder.down_blocks.3.resnets.1.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="259" name="__module.encoder.down_blocks.3.resnets.1.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="14348" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="260" name="__module.encoder.down_blocks.3.resnets.1.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="261" name="__module.encoder.down_blocks.3.resnets.1.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
			<data output_type="i32" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="262" name="__module.encoder.down_blocks.3.resnets.1.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="263" name="Constant_153677" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="85079568" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="264" name="__module.encoder.down_blocks.3.resnets.1.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="265" name="Constant_153678" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="85081616" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="266" name="__module.encoder.down_blocks.3.resnets.1.norm2/aten::group_norm/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="389,input.77">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="267" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_15" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="390,input.79">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="268" name="self.encoder.down_blocks.3.resnets.1.conv2.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="85083664" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.down_blocks.3.resnets.1.conv2.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="269" name="__module.encoder.down_blocks.3.resnets.1.conv2/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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="270" name="__module.encoder.down_blocks.3.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="94520848" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="271" name="__module.encoder.down_blocks.3.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="398,hidden_states.27">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="272" name="__module.encoder.down_blocks.3.resnets.1/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="399,400,input.81">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="273" name="__module.encoder.mid_block.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="14336" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="274" name="__module.encoder.mid_block.resnets.0.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="275" name="__module.encoder.mid_block.resnets.0.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="14348" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="276" name="__module.encoder.mid_block.resnets.0.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="277" name="__module.encoder.mid_block.resnets.0.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
			<data output_type="i32" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="278" name="__module.encoder.mid_block.resnets.0.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="279" name="Constant_153679" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="94522896" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="280" name="__module.encoder.mid_block.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="281" name="Constant_153680" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="94524944" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="282" name="__module.encoder.mid_block.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="414,input.83">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="283" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_16" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="415">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="284" name="self.encoder.mid_block.resnets.0.conv1.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="94526992" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.mid_block.resnets.0.conv1.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="285" name="__module.encoder.mid_block.resnets.0.conv1/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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="286" name="__module.encoder.mid_block.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="103964176" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="287" name="__module.encoder.mid_block.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="422,input.85">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="288" name="__module.encoder.mid_block.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="14336" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="289" name="__module.encoder.mid_block.resnets.0.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="290" name="__module.encoder.mid_block.resnets.0.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="14348" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="291" name="__module.encoder.mid_block.resnets.0.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="292" name="__module.encoder.mid_block.resnets.0.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
			<data output_type="i32" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="293" name="__module.encoder.mid_block.resnets.0.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="294" name="Constant_153681" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="103966224" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="295" name="__module.encoder.mid_block.resnets.0.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="296" name="Constant_153682" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="103968272" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="297" name="__module.encoder.mid_block.resnets.0.norm2/aten::group_norm/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="425,input.87">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="298" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_17" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="426,input.89">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="299" name="self.encoder.mid_block.resnets.0.conv2.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="103970320" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.mid_block.resnets.0.conv2.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="300" name="__module.encoder.mid_block.resnets.0.conv2/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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="301" name="__module.encoder.mid_block.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="113407504" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="302" name="__module.encoder.mid_block.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="434,hidden_states.29">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="303" name="__module.encoder.mid_block.resnets.0/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="435,436,hidden_states.31">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="304" name="Constant_154003" type="Const" version="opset1">
			<data element_type="i64" shape="3" offset="113409552" size="24" />
			<output>
				<port id="0" precision="I64">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="305" name="__module.encoder.mid_block.attentions.0/aten::view/Reshape" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="452">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="306" name="__module.encoder.mid_block.attentions.0/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="113409576" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="307" name="__module.encoder.mid_block.attentions.0/aten::transpose/Transpose" type="Transpose" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="453,hidden_states.33">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="308" name="__module.encoder.mid_block.attentions.0/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="113409576" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="309" name="__module.encoder.mid_block.attentions.0/aten::transpose/Transpose_1" type="Transpose" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
				<port id="1" precision="I32">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="455,input.91">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="310" name="__module.encoder.mid_block.attentions.0.group_norm/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="14336" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="311" name="__module.encoder.mid_block.attentions.0.group_norm/aten::group_norm/Reshape" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="312" name="__module.encoder.mid_block.attentions.0.group_norm/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="14348" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="313" name="__module.encoder.mid_block.attentions.0.group_norm/aten::group_norm/MVN" type="MVN" version="opset6">
			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="314" name="Constant_154004" type="Const" version="opset1">
			<data element_type="i64" shape="3" offset="113409552" size="24" />
			<output>
				<port id="0" precision="I64">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="315" name="__module.encoder.mid_block.attentions.0.group_norm/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="316" name="Constant_153683" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1" offset="113409588" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="317" name="__module.encoder.mid_block.attentions.0.group_norm/aten::group_norm/Multiply" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="318" name="Constant_153684" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1" offset="113411636" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="319" name="__module.encoder.mid_block.attentions.0.group_norm/aten::group_norm/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="458">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="320" name="self.encoder.mid_block.attentions.0.to_q.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512" offset="113413684" size="1048576" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.mid_block.attentions.0.to_q.weight">
					<dim>512</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="321" name="__module.encoder.mid_block.attentions.0.to_q/aten::linear/MatMul" type="MatMul" version="opset1">
			<data transpose_a="true" transpose_b="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>512</dim>
					<dim>512</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="322" name="Constant_153685" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 512" offset="114462260" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="323" name="__module.encoder.mid_block.attentions.0.to_q/aten::linear/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="462,query">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="324" name="Constant_154005" type="Const" version="opset1">
			<data element_type="i64" shape="4" offset="114464308" size="32" />
			<output>
				<port id="0" precision="I64">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="325" name="__module.encoder.mid_block.attentions.0/aten::view/Reshape_1" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
				<port id="1" precision="I64">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="476">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="326" name="Constant_153514" type="Const" version="opset1">
			<data element_type="i64" shape="4" offset="114464340" size="32" />
			<output>
				<port id="0" precision="I64">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="327" name="__module.encoder.mid_block.attentions.0/aten::transpose/Transpose_3" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
				<port id="1" precision="I64">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="477">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="328" name="self.encoder.mid_block.attentions.0.to_k.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512" offset="114464372" size="1048576" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.mid_block.attentions.0.to_k.weight">
					<dim>512</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="329" name="__module.encoder.mid_block.attentions.0.to_k/aten::linear/MatMul" type="MatMul" version="opset1">
			<data transpose_a="true" transpose_b="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>512</dim>
					<dim>512</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="330" name="Constant_153686" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 512" offset="115512948" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="331" name="__module.encoder.mid_block.attentions.0.to_k/aten::linear/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="465,key">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="332" name="Constant_154006" type="Const" version="opset1">
			<data element_type="i64" shape="4" offset="114464308" size="32" />
			<output>
				<port id="0" precision="I64">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="333" name="__module.encoder.mid_block.attentions.0/aten::view/Reshape_2" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
				<port id="1" precision="I64">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="479">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="334" name="Constant_153516" type="Const" version="opset1">
			<data element_type="i64" shape="4" offset="114464340" size="32" />
			<output>
				<port id="0" precision="I64">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="335" name="__module.encoder.mid_block.attentions.0/aten::transpose/Transpose_4" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
				<port id="1" precision="I64">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="480">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="336" name="self.encoder.mid_block.attentions.0.to_v.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512" offset="115514996" size="1048576" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.mid_block.attentions.0.to_v.weight">
					<dim>512</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="337" name="__module.encoder.mid_block.attentions.0.to_v/aten::linear/MatMul" type="MatMul" version="opset1">
			<data transpose_a="true" transpose_b="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>512</dim>
					<dim>512</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="338" name="Constant_153687" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 512" offset="116563572" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="339" name="__module.encoder.mid_block.attentions.0.to_v/aten::linear/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="468,value">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="340" name="Constant_154007" type="Const" version="opset1">
			<data element_type="i64" shape="4" offset="114464308" size="32" />
			<output>
				<port id="0" precision="I64">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="341" name="__module.encoder.mid_block.attentions.0/aten::view/Reshape_3" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
				<port id="1" precision="I64">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="482">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="342" name="Constant_153520" type="Const" version="opset1">
			<data element_type="i64" shape="4" offset="114464340" size="32" />
			<output>
				<port id="0" precision="I64">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="343" name="__module.encoder.mid_block.attentions.0/aten::transpose/Transpose_5" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
				<port id="1" precision="I64">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="483">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="344" name="__module.encoder.mid_block.attentions.0/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
			<data causal="false" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="FP32" names="484,hidden_states.35">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="345" name="Constant_153522" type="Const" version="opset1">
			<data element_type="i64" shape="4" offset="116565620" size="32" />
			<output>
				<port id="0" precision="I64">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="346" name="__module.encoder.mid_block.attentions.0/aten::transpose/Transpose_6" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
				<port id="1" precision="I64">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="485">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="347" name="Constant_154008" type="Const" version="opset1">
			<data element_type="i64" shape="3" offset="116565652" size="24" />
			<output>
				<port id="0" precision="I64">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="348" name="__module.encoder.mid_block.attentions.0/aten::reshape/Reshape" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
				<port id="1" precision="I64">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="489,490,hidden_states.37">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="349" name="self.encoder.mid_block.attentions.0.to_out.0.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512" offset="116565676" size="1048576" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.mid_block.attentions.0.to_out.0.weight">
					<dim>512</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="350" name="__module.encoder.mid_block.attentions.0.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1">
			<data transpose_a="false" transpose_b="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>512</dim>
					<dim>512</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="351" name="Constant_153688" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 512" offset="117614252" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="352" name="__module.encoder.mid_block.attentions.0.to_out.0/aten::linear/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="493,input.93">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="353" name="__module.encoder.mid_block.attentions.0/aten::transpose/ScatterElementsUpdate_7" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="113409576" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="354" name="__module.encoder.mid_block.attentions.0/aten::transpose/Transpose_7" type="Transpose" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
				<port id="1" precision="I32">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="495">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="355" name="ShapeOf_153942" type="ShapeOf" version="opset3">
			<data output_type="i64" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I64">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="356" name="Constant_153943" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="117616300" size="8" />
			<output>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="357" name="Constant_153944" type="Const" version="opset1">
			<data element_type="i64" shape="" offset="117616300" size="8" />
			<output>
				<port id="0" precision="I64" />
			</output>
		</layer>
		<layer id="358" name="Gather_153945" type="Gather" version="opset8">
			<data batch_dims="0" />
			<input>
				<port id="0" precision="I64">
					<dim>4</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
				<port id="2" precision="I64" />
			</input>
			<output>
				<port id="3" precision="I64" names="443,454">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="359" name="__module.encoder.mid_block.attentions.0/prim::ListConstruct/Reshape_0" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="117616308" size="8" />
			<output>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="360" name="ShapeOf_153947" type="ShapeOf" version="opset3">
			<data output_type="i64" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I64">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="361" name="Constant_154120" type="Const" version="opset1">
			<data element_type="i64" shape="2" offset="117616316" size="16" />
			<output>
				<port id="0" precision="I64">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="362" name="Constant_154121" type="Const" version="opset1">
			<data element_type="i64" shape="" offset="117616300" size="8" />
			<output>
				<port id="0" precision="I64" />
			</output>
		</layer>
		<layer id="363" name="Gather_154122" type="Gather" version="opset8">
			<data batch_dims="0" />
			<input>
				<port id="0" precision="I64">
					<dim>4</dim>
				</port>
				<port id="1" precision="I64">
					<dim>2</dim>
				</port>
				<port id="2" precision="I64" />
			</input>
			<output>
				<port id="3" precision="I64">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="364" name="__module.encoder.mid_block.attentions.0/prim::ListConstruct/Concat_5" type="Concat" version="opset1">
			<data axis="0" />
			<input>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
				<port id="2" precision="I64">
					<dim>2</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="I64" names="496">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="365" name="__module.encoder.mid_block.attentions.0/aten::reshape/Reshape_1" type="Reshape" version="opset1">
			<data special_zero="false" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="497,hidden_states.41">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="366" name="__module.encoder.mid_block.attentions.0/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="498,499,hidden_states.43,input.95">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="367" name="__module.encoder.mid_block.resnets.1.norm1/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="14336" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="368" name="__module.encoder.mid_block.resnets.1.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="369" name="__module.encoder.mid_block.resnets.1.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="14348" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="370" name="__module.encoder.mid_block.resnets.1.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="371" name="__module.encoder.mid_block.resnets.1.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
			<data output_type="i32" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="372" name="__module.encoder.mid_block.resnets.1.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="373" name="Constant_153689" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="117616332" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="374" name="__module.encoder.mid_block.resnets.1.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="375" name="Constant_153690" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="117618380" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="376" name="__module.encoder.mid_block.resnets.1.norm1/aten::group_norm/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="507,input.97">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="377" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_18" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="508">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="378" name="self.encoder.mid_block.resnets.1.conv1.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="117620428" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.mid_block.resnets.1.conv1.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="379" name="__module.encoder.mid_block.resnets.1.conv1/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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="380" name="__module.encoder.mid_block.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="127057612" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="381" name="__module.encoder.mid_block.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="515,input.99">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="382" name="__module.encoder.mid_block.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="14336" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="383" name="__module.encoder.mid_block.resnets.1.norm2/aten::group_norm/Reshape" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="384" name="__module.encoder.mid_block.resnets.1.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="14348" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="385" name="__module.encoder.mid_block.resnets.1.norm2/aten::group_norm/MVN" type="MVN" version="opset6">
			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="386" name="__module.encoder.mid_block.resnets.1.norm2/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
			<data output_type="i32" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="387" name="__module.encoder.mid_block.resnets.1.norm2/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="388" name="Constant_153691" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="127059660" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="389" name="__module.encoder.mid_block.resnets.1.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="390" name="Constant_153692" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="127061708" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="391" name="__module.encoder.mid_block.resnets.1.norm2/aten::group_norm/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="518,input.101">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="392" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_19" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="519,input.103">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="393" name="self.encoder.mid_block.resnets.1.conv2.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="127063756" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.mid_block.resnets.1.conv2.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="394" name="__module.encoder.mid_block.resnets.1.conv2/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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="395" name="__module.encoder.mid_block.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="136500940" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="396" name="__module.encoder.mid_block.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="527,hidden_states">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="397" name="__module.encoder.mid_block.resnets.1/aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="528,529,input.105">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="398" name="__module.encoder.conv_norm_out/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="14336" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="399" name="__module.encoder.conv_norm_out/aten::group_norm/Reshape" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="400" name="__module.encoder.conv_norm_out/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="14348" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="401" name="__module.encoder.conv_norm_out/aten::group_norm/MVN" type="MVN" version="opset6">
			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="402" name="__module.encoder.conv_norm_out/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
			<data output_type="i32" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="403" name="__module.encoder.conv_norm_out/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>32</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="404" name="Constant_153693" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="136502988" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="405" name="__module.encoder.conv_norm_out/aten::group_norm/Multiply" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="406" name="Constant_153694" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="136505036" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="407" name="__module.encoder.conv_norm_out/aten::group_norm/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="532,input">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="408" name="__module.encoder.conv_act/aten::silu/Swish" type="Swish" version="opset4">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="533">
					<dim>-1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="409" name="self.encoder.conv_out.weight" type="Const" version="opset1">
			<data element_type="f32" shape="8, 512, 3, 3" offset="136507084" size="147456" />
			<output>
				<port id="0" precision="FP32" names="self.encoder.conv_out.weight">
					<dim>8</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="410" name="__module.encoder.conv_out/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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>8</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>8</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="411" name="__module.encoder.conv_out/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 8, 1, 1" offset="136654540" size="32" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>8</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="412" name="__module.encoder.conv_out/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>8</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>8</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="540">
					<dim>-1</dim>
					<dim>8</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="413" name="self.quant_conv.weight" type="Const" version="opset1">
			<data element_type="f32" shape="8, 8, 1, 1" offset="136654572" size="256" />
			<output>
				<port id="0" precision="FP32" names="self.quant_conv.weight">
					<dim>8</dim>
					<dim>8</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="414" name="__module.quant_conv/aten::_convolution/Convolution" 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>8</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>8</dim>
					<dim>8</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>8</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="415" name="__module.quant_conv/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 8, 1, 1" offset="136654828" size="32" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>8</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="416" name="__module.quant_conv/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>8</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>8</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="551">
					<dim>-1</dim>
					<dim>8</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="417" name="12" type="Const" version="opset1">
			<data element_type="i64" shape="" offset="136654860" size="8" />
			<output>
				<port id="0" precision="I64" names="12" />
			</output>
		</layer>
		<layer id="418" name="prim::ListUnpack/ShapeOf" type="ShapeOf" version="opset3">
			<data output_type="i32" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>8</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="419" name="Constant_146809" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="136654868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="420" name="prim::ListUnpack/Gather" type="Gather" version="opset8">
			<data batch_dims="0" />
			<input>
				<port id="0" precision="I32">
					<dim>4</dim>
				</port>
				<port id="1" precision="I64" />
				<port id="2" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="I32" />
			</output>
		</layer>
		<layer id="421" name="prim::ListUnpack/Convert" type="Const" version="opset1">
			<data element_type="i32" shape="" offset="14348" size="4" />
			<output>
				<port id="0" precision="I32" />
			</output>
		</layer>
		<layer id="422" name="prim::ListUnpack/Divide" type="Divide" version="opset1">
			<data auto_broadcast="numpy" m_pythondiv="true" />
			<input>
				<port id="0" precision="I32" />
				<port id="1" precision="I32" />
			</input>
			<output>
				<port id="2" precision="I32" />
			</output>
		</layer>
		<layer id="423" name="prim::ListUnpack/Mod" type="Mod" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="I32" />
				<port id="1" precision="I32" />
			</input>
			<output>
				<port id="2" precision="I32" />
			</output>
		</layer>
		<layer id="424" name="prim::ListUnpack/Greater" type="Greater" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="I32" />
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="BOOL">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="425" name="Convert_153966" type="Convert" version="opset1">
			<data destination_type="i32" />
			<input>
				<port id="0" precision="BOOL">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="426" name="prim::ListUnpack/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="I32" />
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="427" name="Constant_146810" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="136654872" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="428" name="prim::ListUnpack/Concat" type="Concat" version="opset1">
			<data axis="0" />
			<input>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
				<port id="1" precision="I32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="I32">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="429" name="prim::ListUnpack/VariadicSplit" type="VariadicSplit" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>8</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="I64" />
				<port id="2" precision="I32">
					<dim>2</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="FP32" names="14">
					<dim>-1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="4" precision="FP32" names="15">
					<dim>-1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="430" name="aten::clamp/Minimum" type="Clamp" version="opset1">
			<data min="-30" max="20" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="18">
					<dim>-1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="431" name="Constant_153695" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1" offset="136654876" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="432" name="aten::mul/Multiply" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="20">
					<dim>-1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="433" name="aten::exp/Exp" type="Exp" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="21">
					<dim>-1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="434" name="aten::size/ShapeOf" type="ShapeOf" version="opset3">
			<data output_type="i64" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I64">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="435" name="Constant_154112" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="136654860" size="8" />
			<output>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="436" name="aten::size/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="" offset="136654868" size="4" />
			<output>
				<port id="0" precision="I32" />
			</output>
		</layer>
		<layer id="437" name="aten::size/Gather_1" type="Gather" version="opset8">
			<data batch_dims="0" />
			<input>
				<port id="0" precision="I64">
					<dim>4</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
				<port id="2" precision="I32" />
			</input>
			<output>
				<port id="3" precision="I64" names="27,29">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="438" name="ShapeOf_153987" type="ShapeOf" version="opset3">
			<data output_type="i64" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>8</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I64">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="439" name="Constant_154125" type="Const" version="opset1">
			<data element_type="i64" shape="2" offset="117616316" size="16" />
			<output>
				<port id="0" precision="I64">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="440" name="Constant_154126" type="Const" version="opset1">
			<data element_type="i64" shape="" offset="117616300" size="8" />
			<output>
				<port id="0" precision="I64" />
			</output>
		</layer>
		<layer id="441" name="Gather_154127" type="Gather" version="opset8">
			<data batch_dims="0" />
			<input>
				<port id="0" precision="I64">
					<dim>4</dim>
				</port>
				<port id="1" precision="I64">
					<dim>2</dim>
				</port>
				<port id="2" precision="I64" />
			</input>
			<output>
				<port id="3" precision="I64">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="442" name="Concat_144018" type="Concat" version="opset1">
			<data axis="0" />
			<input>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
				<port id="1" precision="I64">
					<dim>1</dim>
				</port>
				<port id="2" precision="I64">
					<dim>2</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="I64">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="443" name="aten::randn/Convert" type="Convert" version="opset1">
			<data destination_type="i32" />
			<input>
				<port id="0" precision="I64">
					<dim>4</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="444" name="aten::randn/Constant_1" type="Const" version="opset1">
			<data element_type="f32" shape="1" offset="136654880" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="445" name="aten::randn/Constant_2" type="Const" version="opset1">
			<data element_type="f32" shape="1" offset="136654884" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="446" name="aten::randn/RandomUniform" type="RandomUniform" version="opset8">
			<data output_type="f32" op_seed="1175022446" global_seed="0" alignment="tensorflow" />
			<rt_info>
				<attribute name="precise" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="I32">
					<dim>4</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
				</port>
				<port id="2" precision="FP32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="FP32">
					<dim>-1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="447" name="aten::randn/Log" type="Log" version="opset1">
			<rt_info>
				<attribute name="precise" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="448" name="Constant_153696" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 1, 1" offset="136654888" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="449" name="aten::randn/Multiply" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>-1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="450" name="aten::randn/Sqrt" type="Sqrt" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="451" name="Constant_153562" type="Const" version="opset1">
			<data element_type="f32" shape="1" offset="136654892" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="452" name="Constant_153563" type="Const" version="opset1">
			<data element_type="f32" shape="1" offset="136654896" size="4" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="453" name="aten::randn/Multiply_2" type="RandomUniform" version="opset8">
			<data output_type="f32" op_seed="1175032446" global_seed="0" alignment="tensorflow" />
			<input>
				<port id="0" precision="I32">
					<dim>4</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
				</port>
				<port id="2" precision="FP32">
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="FP32">
					<dim>-1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="454" name="aten::randn/Cos" type="Cos" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="455" name="aten::randn/Multiply_3" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="44,52,sample">
					<dim>-1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="456" name="aten::mul/Multiply_1" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="53">
					<dim>-1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="457" name="aten::add/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>-1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="latent_sample">
					<dim>-1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="458" name="Result_148148" type="Result" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>-1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
		</layer>
	</layers>
	<edges>
		<edge from-layer="0" from-port="0" to-layer="2" to-port="0" />
		<edge from-layer="1" from-port="0" to-layer="2" to-port="1" />
		<edge from-layer="2" from-port="2" to-layer="4" to-port="0" />
		<edge from-layer="3" from-port="0" to-layer="4" to-port="1" />
		<edge from-layer="4" from-port="2" to-layer="35" to-port="0" />
		<edge from-layer="4" from-port="2" to-layer="355" to-port="0" />
		<edge from-layer="4" from-port="2" to-layer="9" to-port="0" />
		<edge from-layer="4" from-port="2" to-layer="6" to-port="0" />
		<edge from-layer="5" from-port="0" to-layer="6" to-port="1" />
		<edge from-layer="6" from-port="2" to-layer="8" to-port="0" />
		<edge from-layer="7" from-port="0" to-layer="8" to-port="1" />
		<edge from-layer="8" from-port="2" to-layer="10" to-port="0" />
		<edge from-layer="9" from-port="1" to-layer="10" to-port="1" />
		<edge from-layer="10" from-port="2" to-layer="12" to-port="0" />
		<edge from-layer="11" from-port="0" to-layer="12" to-port="1" />
		<edge from-layer="12" from-port="2" to-layer="14" to-port="0" />
		<edge from-layer="13" from-port="0" to-layer="14" to-port="1" />
		<edge from-layer="14" from-port="2" to-layer="15" to-port="0" />
		<edge from-layer="15" from-port="1" to-layer="17" to-port="0" />
		<edge from-layer="16" from-port="0" to-layer="17" to-port="1" />
		<edge from-layer="17" from-port="2" to-layer="19" to-port="0" />
		<edge from-layer="18" from-port="0" to-layer="19" to-port="1" />
		<edge from-layer="19" from-port="2" to-layer="21" to-port="0" />
		<edge from-layer="19" from-port="2" to-layer="24" to-port="0" />
		<edge from-layer="20" from-port="0" to-layer="21" to-port="1" />
		<edge from-layer="21" from-port="2" to-layer="23" to-port="0" />
		<edge from-layer="22" from-port="0" to-layer="23" to-port="1" />
		<edge from-layer="23" from-port="2" to-layer="25" to-port="0" />
		<edge from-layer="24" from-port="1" to-layer="25" to-port="1" />
		<edge from-layer="25" from-port="2" to-layer="27" to-port="0" />
		<edge from-layer="26" from-port="0" to-layer="27" to-port="1" />
		<edge from-layer="27" from-port="2" to-layer="29" to-port="0" />
		<edge from-layer="28" from-port="0" to-layer="29" to-port="1" />
		<edge from-layer="29" from-port="2" to-layer="30" to-port="0" />
		<edge from-layer="30" from-port="1" to-layer="32" to-port="0" />
		<edge from-layer="31" from-port="0" to-layer="32" to-port="1" />
		<edge from-layer="32" from-port="2" to-layer="34" to-port="0" />
		<edge from-layer="33" from-port="0" to-layer="34" to-port="1" />
		<edge from-layer="34" from-port="2" to-layer="35" to-port="1" />
		<edge from-layer="35" from-port="2" to-layer="37" to-port="0" />
		<edge from-layer="35" from-port="2" to-layer="66" to-port="0" />
		<edge from-layer="35" from-port="2" to-layer="40" to-port="0" />
		<edge from-layer="36" from-port="0" to-layer="37" to-port="1" />
		<edge from-layer="37" from-port="2" to-layer="39" to-port="0" />
		<edge from-layer="38" from-port="0" to-layer="39" to-port="1" />
		<edge from-layer="39" from-port="2" to-layer="41" to-port="0" />
		<edge from-layer="40" from-port="1" to-layer="41" to-port="1" />
		<edge from-layer="41" from-port="2" to-layer="43" to-port="0" />
		<edge from-layer="42" from-port="0" to-layer="43" to-port="1" />
		<edge from-layer="43" from-port="2" to-layer="45" to-port="0" />
		<edge from-layer="44" from-port="0" to-layer="45" to-port="1" />
		<edge from-layer="45" from-port="2" to-layer="46" to-port="0" />
		<edge from-layer="46" from-port="1" to-layer="48" to-port="0" />
		<edge from-layer="47" from-port="0" to-layer="48" to-port="1" />
		<edge from-layer="48" from-port="2" to-layer="50" to-port="0" />
		<edge from-layer="49" from-port="0" to-layer="50" to-port="1" />
		<edge from-layer="50" from-port="2" to-layer="52" to-port="0" />
		<edge from-layer="50" from-port="2" to-layer="55" to-port="0" />
		<edge from-layer="51" from-port="0" to-layer="52" to-port="1" />
		<edge from-layer="52" from-port="2" to-layer="54" to-port="0" />
		<edge from-layer="53" from-port="0" to-layer="54" to-port="1" />
		<edge from-layer="54" from-port="2" to-layer="56" to-port="0" />
		<edge from-layer="55" from-port="1" to-layer="56" to-port="1" />
		<edge from-layer="56" from-port="2" to-layer="58" to-port="0" />
		<edge from-layer="57" from-port="0" to-layer="58" to-port="1" />
		<edge from-layer="58" from-port="2" to-layer="60" to-port="0" />
		<edge from-layer="59" from-port="0" to-layer="60" to-port="1" />
		<edge from-layer="60" from-port="2" to-layer="61" to-port="0" />
		<edge from-layer="61" from-port="1" to-layer="63" to-port="0" />
		<edge from-layer="62" from-port="0" to-layer="63" to-port="1" />
		<edge from-layer="63" from-port="2" to-layer="65" to-port="0" />
		<edge from-layer="64" from-port="0" to-layer="65" to-port="1" />
		<edge from-layer="65" from-port="2" to-layer="66" to-port="1" />
		<edge from-layer="66" from-port="2" to-layer="68" to-port="0" />
		<edge from-layer="67" from-port="0" to-layer="68" to-port="1" />
		<edge from-layer="68" from-port="2" to-layer="70" to-port="0" />
		<edge from-layer="69" from-port="0" to-layer="70" to-port="1" />
		<edge from-layer="70" from-port="2" to-layer="72" to-port="0" />
		<edge from-layer="70" from-port="2" to-layer="76" to-port="0" />
		<edge from-layer="70" from-port="2" to-layer="79" to-port="0" />
		<edge from-layer="71" from-port="0" to-layer="72" to-port="1" />
		<edge from-layer="72" from-port="2" to-layer="74" to-port="0" />
		<edge from-layer="73" from-port="0" to-layer="74" to-port="1" />
		<edge from-layer="74" from-port="2" to-layer="105" to-port="0" />
		<edge from-layer="75" from-port="0" to-layer="76" to-port="1" />
		<edge from-layer="76" from-port="2" to-layer="78" to-port="0" />
		<edge from-layer="77" from-port="0" to-layer="78" to-port="1" />
		<edge from-layer="78" from-port="2" to-layer="80" to-port="0" />
		<edge from-layer="79" from-port="1" to-layer="80" to-port="1" />
		<edge from-layer="80" from-port="2" to-layer="82" to-port="0" />
		<edge from-layer="81" from-port="0" to-layer="82" to-port="1" />
		<edge from-layer="82" from-port="2" to-layer="84" to-port="0" />
		<edge from-layer="83" from-port="0" to-layer="84" to-port="1" />
		<edge from-layer="84" from-port="2" to-layer="85" to-port="0" />
		<edge from-layer="85" from-port="1" to-layer="87" to-port="0" />
		<edge from-layer="86" from-port="0" to-layer="87" to-port="1" />
		<edge from-layer="87" from-port="2" to-layer="89" to-port="0" />
		<edge from-layer="88" from-port="0" to-layer="89" to-port="1" />
		<edge from-layer="89" from-port="2" to-layer="91" to-port="0" />
		<edge from-layer="89" from-port="2" to-layer="94" to-port="0" />
		<edge from-layer="90" from-port="0" to-layer="91" to-port="1" />
		<edge from-layer="91" from-port="2" to-layer="93" to-port="0" />
		<edge from-layer="92" from-port="0" to-layer="93" to-port="1" />
		<edge from-layer="93" from-port="2" to-layer="95" to-port="0" />
		<edge from-layer="94" from-port="1" to-layer="95" to-port="1" />
		<edge from-layer="95" from-port="2" to-layer="97" to-port="0" />
		<edge from-layer="96" from-port="0" to-layer="97" to-port="1" />
		<edge from-layer="97" from-port="2" to-layer="99" to-port="0" />
		<edge from-layer="98" from-port="0" to-layer="99" to-port="1" />
		<edge from-layer="99" from-port="2" to-layer="100" to-port="0" />
		<edge from-layer="100" from-port="1" to-layer="102" to-port="0" />
		<edge from-layer="101" from-port="0" to-layer="102" to-port="1" />
		<edge from-layer="102" from-port="2" to-layer="104" to-port="0" />
		<edge from-layer="103" from-port="0" to-layer="104" to-port="1" />
		<edge from-layer="104" from-port="2" to-layer="105" to-port="1" />
		<edge from-layer="105" from-port="2" to-layer="136" to-port="0" />
		<edge from-layer="105" from-port="2" to-layer="110" to-port="0" />
		<edge from-layer="105" from-port="2" to-layer="107" to-port="0" />
		<edge from-layer="106" from-port="0" to-layer="107" to-port="1" />
		<edge from-layer="107" from-port="2" to-layer="109" to-port="0" />
		<edge from-layer="108" from-port="0" to-layer="109" to-port="1" />
		<edge from-layer="109" from-port="2" to-layer="111" to-port="0" />
		<edge from-layer="110" from-port="1" to-layer="111" to-port="1" />
		<edge from-layer="111" from-port="2" to-layer="113" to-port="0" />
		<edge from-layer="112" from-port="0" to-layer="113" to-port="1" />
		<edge from-layer="113" from-port="2" to-layer="115" to-port="0" />
		<edge from-layer="114" from-port="0" to-layer="115" to-port="1" />
		<edge from-layer="115" from-port="2" to-layer="116" to-port="0" />
		<edge from-layer="116" from-port="1" to-layer="118" to-port="0" />
		<edge from-layer="117" from-port="0" to-layer="118" to-port="1" />
		<edge from-layer="118" from-port="2" to-layer="120" to-port="0" />
		<edge from-layer="119" from-port="0" to-layer="120" to-port="1" />
		<edge from-layer="120" from-port="2" to-layer="122" to-port="0" />
		<edge from-layer="120" from-port="2" to-layer="125" to-port="0" />
		<edge from-layer="121" from-port="0" to-layer="122" to-port="1" />
		<edge from-layer="122" from-port="2" to-layer="124" to-port="0" />
		<edge from-layer="123" from-port="0" to-layer="124" to-port="1" />
		<edge from-layer="124" from-port="2" to-layer="126" to-port="0" />
		<edge from-layer="125" from-port="1" to-layer="126" to-port="1" />
		<edge from-layer="126" from-port="2" to-layer="128" to-port="0" />
		<edge from-layer="127" from-port="0" to-layer="128" to-port="1" />
		<edge from-layer="128" from-port="2" to-layer="130" to-port="0" />
		<edge from-layer="129" from-port="0" to-layer="130" to-port="1" />
		<edge from-layer="130" from-port="2" to-layer="131" to-port="0" />
		<edge from-layer="131" from-port="1" to-layer="133" to-port="0" />
		<edge from-layer="132" from-port="0" to-layer="133" to-port="1" />
		<edge from-layer="133" from-port="2" to-layer="135" to-port="0" />
		<edge from-layer="134" from-port="0" to-layer="135" to-port="1" />
		<edge from-layer="135" from-port="2" to-layer="136" to-port="1" />
		<edge from-layer="136" from-port="2" to-layer="138" to-port="0" />
		<edge from-layer="137" from-port="0" to-layer="138" to-port="1" />
		<edge from-layer="138" from-port="2" to-layer="140" to-port="0" />
		<edge from-layer="139" from-port="0" to-layer="140" to-port="1" />
		<edge from-layer="140" from-port="2" to-layer="142" to-port="0" />
		<edge from-layer="140" from-port="2" to-layer="146" to-port="0" />
		<edge from-layer="140" from-port="2" to-layer="149" to-port="0" />
		<edge from-layer="141" from-port="0" to-layer="142" to-port="1" />
		<edge from-layer="142" from-port="2" to-layer="144" to-port="0" />
		<edge from-layer="143" from-port="0" to-layer="144" to-port="1" />
		<edge from-layer="144" from-port="2" to-layer="175" to-port="0" />
		<edge from-layer="145" from-port="0" to-layer="146" to-port="1" />
		<edge from-layer="146" from-port="2" to-layer="148" to-port="0" />
		<edge from-layer="147" from-port="0" to-layer="148" to-port="1" />
		<edge from-layer="148" from-port="2" to-layer="150" to-port="0" />
		<edge from-layer="149" from-port="1" to-layer="150" to-port="1" />
		<edge from-layer="150" from-port="2" to-layer="152" to-port="0" />
		<edge from-layer="151" from-port="0" to-layer="152" to-port="1" />
		<edge from-layer="152" from-port="2" to-layer="154" to-port="0" />
		<edge from-layer="153" from-port="0" to-layer="154" to-port="1" />
		<edge from-layer="154" from-port="2" to-layer="155" to-port="0" />
		<edge from-layer="155" from-port="1" to-layer="157" to-port="0" />
		<edge from-layer="156" from-port="0" to-layer="157" to-port="1" />
		<edge from-layer="157" from-port="2" to-layer="159" to-port="0" />
		<edge from-layer="158" from-port="0" to-layer="159" to-port="1" />
		<edge from-layer="159" from-port="2" to-layer="161" to-port="0" />
		<edge from-layer="159" from-port="2" to-layer="164" to-port="0" />
		<edge from-layer="160" from-port="0" to-layer="161" to-port="1" />
		<edge from-layer="161" from-port="2" to-layer="163" to-port="0" />
		<edge from-layer="162" from-port="0" to-layer="163" to-port="1" />
		<edge from-layer="163" from-port="2" to-layer="165" to-port="0" />
		<edge from-layer="164" from-port="1" to-layer="165" to-port="1" />
		<edge from-layer="165" from-port="2" to-layer="167" to-port="0" />
		<edge from-layer="166" from-port="0" to-layer="167" to-port="1" />
		<edge from-layer="167" from-port="2" to-layer="169" to-port="0" />
		<edge from-layer="168" from-port="0" to-layer="169" to-port="1" />
		<edge from-layer="169" from-port="2" to-layer="170" to-port="0" />
		<edge from-layer="170" from-port="1" to-layer="172" to-port="0" />
		<edge from-layer="171" from-port="0" to-layer="172" to-port="1" />
		<edge from-layer="172" from-port="2" to-layer="174" to-port="0" />
		<edge from-layer="173" from-port="0" to-layer="174" to-port="1" />
		<edge from-layer="174" from-port="2" to-layer="175" to-port="1" />
		<edge from-layer="175" from-port="2" to-layer="177" to-port="0" />
		<edge from-layer="175" from-port="2" to-layer="180" to-port="0" />
		<edge from-layer="175" from-port="2" to-layer="206" to-port="0" />
		<edge from-layer="176" from-port="0" to-layer="177" to-port="1" />
		<edge from-layer="177" from-port="2" to-layer="179" to-port="0" />
		<edge from-layer="178" from-port="0" to-layer="179" to-port="1" />
		<edge from-layer="179" from-port="2" to-layer="181" to-port="0" />
		<edge from-layer="180" from-port="1" to-layer="181" to-port="1" />
		<edge from-layer="181" from-port="2" to-layer="183" to-port="0" />
		<edge from-layer="182" from-port="0" to-layer="183" to-port="1" />
		<edge from-layer="183" from-port="2" to-layer="185" to-port="0" />
		<edge from-layer="184" from-port="0" to-layer="185" to-port="1" />
		<edge from-layer="185" from-port="2" to-layer="186" to-port="0" />
		<edge from-layer="186" from-port="1" to-layer="188" to-port="0" />
		<edge from-layer="187" from-port="0" to-layer="188" to-port="1" />
		<edge from-layer="188" from-port="2" to-layer="190" to-port="0" />
		<edge from-layer="189" from-port="0" to-layer="190" to-port="1" />
		<edge from-layer="190" from-port="2" to-layer="192" to-port="0" />
		<edge from-layer="190" from-port="2" to-layer="195" to-port="0" />
		<edge from-layer="191" from-port="0" to-layer="192" to-port="1" />
		<edge from-layer="192" from-port="2" to-layer="194" to-port="0" />
		<edge from-layer="193" from-port="0" to-layer="194" to-port="1" />
		<edge from-layer="194" from-port="2" to-layer="196" to-port="0" />
		<edge from-layer="195" from-port="1" to-layer="196" to-port="1" />
		<edge from-layer="196" from-port="2" to-layer="198" to-port="0" />
		<edge from-layer="197" from-port="0" to-layer="198" to-port="1" />
		<edge from-layer="198" from-port="2" to-layer="200" to-port="0" />
		<edge from-layer="199" from-port="0" to-layer="200" to-port="1" />
		<edge from-layer="200" from-port="2" to-layer="201" to-port="0" />
		<edge from-layer="201" from-port="1" to-layer="203" to-port="0" />
		<edge from-layer="202" from-port="0" to-layer="203" to-port="1" />
		<edge from-layer="203" from-port="2" to-layer="205" to-port="0" />
		<edge from-layer="204" from-port="0" to-layer="205" to-port="1" />
		<edge from-layer="205" from-port="2" to-layer="206" to-port="1" />
		<edge from-layer="206" from-port="2" to-layer="208" to-port="0" />
		<edge from-layer="207" from-port="0" to-layer="208" to-port="1" />
		<edge from-layer="208" from-port="2" to-layer="210" to-port="0" />
		<edge from-layer="209" from-port="0" to-layer="210" to-port="1" />
		<edge from-layer="210" from-port="2" to-layer="212" to-port="0" />
		<edge from-layer="210" from-port="2" to-layer="241" to-port="0" />
		<edge from-layer="210" from-port="2" to-layer="215" to-port="0" />
		<edge from-layer="211" from-port="0" to-layer="212" to-port="1" />
		<edge from-layer="212" from-port="2" to-layer="214" to-port="0" />
		<edge from-layer="213" from-port="0" to-layer="214" to-port="1" />
		<edge from-layer="214" from-port="2" to-layer="216" to-port="0" />
		<edge from-layer="215" from-port="1" to-layer="216" to-port="1" />
		<edge from-layer="216" from-port="2" to-layer="218" to-port="0" />
		<edge from-layer="217" from-port="0" to-layer="218" to-port="1" />
		<edge from-layer="218" from-port="2" to-layer="220" to-port="0" />
		<edge from-layer="219" from-port="0" to-layer="220" to-port="1" />
		<edge from-layer="220" from-port="2" to-layer="221" to-port="0" />
		<edge from-layer="221" from-port="1" to-layer="223" to-port="0" />
		<edge from-layer="222" from-port="0" to-layer="223" to-port="1" />
		<edge from-layer="223" from-port="2" to-layer="225" to-port="0" />
		<edge from-layer="224" from-port="0" to-layer="225" to-port="1" />
		<edge from-layer="225" from-port="2" to-layer="227" to-port="0" />
		<edge from-layer="225" from-port="2" to-layer="230" to-port="0" />
		<edge from-layer="226" from-port="0" to-layer="227" to-port="1" />
		<edge from-layer="227" from-port="2" to-layer="229" to-port="0" />
		<edge from-layer="228" from-port="0" to-layer="229" to-port="1" />
		<edge from-layer="229" from-port="2" to-layer="231" to-port="0" />
		<edge from-layer="230" from-port="1" to-layer="231" to-port="1" />
		<edge from-layer="231" from-port="2" to-layer="233" to-port="0" />
		<edge from-layer="232" from-port="0" to-layer="233" to-port="1" />
		<edge from-layer="233" from-port="2" to-layer="235" to-port="0" />
		<edge from-layer="234" from-port="0" to-layer="235" to-port="1" />
		<edge from-layer="235" from-port="2" to-layer="236" to-port="0" />
		<edge from-layer="236" from-port="1" to-layer="238" to-port="0" />
		<edge from-layer="237" from-port="0" to-layer="238" to-port="1" />
		<edge from-layer="238" from-port="2" to-layer="240" to-port="0" />
		<edge from-layer="239" from-port="0" to-layer="240" to-port="1" />
		<edge from-layer="240" from-port="2" to-layer="241" to-port="1" />
		<edge from-layer="241" from-port="2" to-layer="272" to-port="0" />
		<edge from-layer="241" from-port="2" to-layer="246" to-port="0" />
		<edge from-layer="241" from-port="2" to-layer="243" to-port="0" />
		<edge from-layer="242" from-port="0" to-layer="243" to-port="1" />
		<edge from-layer="243" from-port="2" to-layer="245" to-port="0" />
		<edge from-layer="244" from-port="0" to-layer="245" to-port="1" />
		<edge from-layer="245" from-port="2" to-layer="247" to-port="0" />
		<edge from-layer="246" from-port="1" to-layer="247" to-port="1" />
		<edge from-layer="247" from-port="2" to-layer="249" to-port="0" />
		<edge from-layer="248" from-port="0" to-layer="249" to-port="1" />
		<edge from-layer="249" from-port="2" to-layer="251" to-port="0" />
		<edge from-layer="250" from-port="0" to-layer="251" to-port="1" />
		<edge from-layer="251" from-port="2" to-layer="252" to-port="0" />
		<edge from-layer="252" from-port="1" to-layer="254" to-port="0" />
		<edge from-layer="253" from-port="0" to-layer="254" to-port="1" />
		<edge from-layer="254" from-port="2" to-layer="256" to-port="0" />
		<edge from-layer="255" from-port="0" to-layer="256" to-port="1" />
		<edge from-layer="256" from-port="2" to-layer="258" to-port="0" />
		<edge from-layer="256" from-port="2" to-layer="261" to-port="0" />
		<edge from-layer="257" from-port="0" to-layer="258" to-port="1" />
		<edge from-layer="258" from-port="2" to-layer="260" to-port="0" />
		<edge from-layer="259" from-port="0" to-layer="260" to-port="1" />
		<edge from-layer="260" from-port="2" to-layer="262" to-port="0" />
		<edge from-layer="261" from-port="1" to-layer="262" to-port="1" />
		<edge from-layer="262" from-port="2" to-layer="264" to-port="0" />
		<edge from-layer="263" from-port="0" to-layer="264" to-port="1" />
		<edge from-layer="264" from-port="2" to-layer="266" to-port="0" />
		<edge from-layer="265" from-port="0" to-layer="266" to-port="1" />
		<edge from-layer="266" from-port="2" to-layer="267" to-port="0" />
		<edge from-layer="267" from-port="1" to-layer="269" to-port="0" />
		<edge from-layer="268" from-port="0" to-layer="269" to-port="1" />
		<edge from-layer="269" from-port="2" to-layer="271" to-port="0" />
		<edge from-layer="270" from-port="0" to-layer="271" to-port="1" />
		<edge from-layer="271" from-port="2" to-layer="272" to-port="1" />
		<edge from-layer="272" from-port="2" to-layer="303" to-port="0" />
		<edge from-layer="272" from-port="2" to-layer="277" to-port="0" />
		<edge from-layer="272" from-port="2" to-layer="274" to-port="0" />
		<edge from-layer="273" from-port="0" to-layer="274" to-port="1" />
		<edge from-layer="274" from-port="2" to-layer="276" to-port="0" />
		<edge from-layer="275" from-port="0" to-layer="276" to-port="1" />
		<edge from-layer="276" from-port="2" to-layer="278" to-port="0" />
		<edge from-layer="277" from-port="1" to-layer="278" to-port="1" />
		<edge from-layer="278" from-port="2" to-layer="280" to-port="0" />
		<edge from-layer="279" from-port="0" to-layer="280" to-port="1" />
		<edge from-layer="280" from-port="2" to-layer="282" to-port="0" />
		<edge from-layer="281" from-port="0" to-layer="282" to-port="1" />
		<edge from-layer="282" from-port="2" to-layer="283" to-port="0" />
		<edge from-layer="283" from-port="1" to-layer="285" to-port="0" />
		<edge from-layer="284" from-port="0" to-layer="285" to-port="1" />
		<edge from-layer="285" from-port="2" to-layer="287" to-port="0" />
		<edge from-layer="286" from-port="0" to-layer="287" to-port="1" />
		<edge from-layer="287" from-port="2" to-layer="289" to-port="0" />
		<edge from-layer="287" from-port="2" to-layer="292" to-port="0" />
		<edge from-layer="288" from-port="0" to-layer="289" to-port="1" />
		<edge from-layer="289" from-port="2" to-layer="291" to-port="0" />
		<edge from-layer="290" from-port="0" to-layer="291" to-port="1" />
		<edge from-layer="291" from-port="2" to-layer="293" to-port="0" />
		<edge from-layer="292" from-port="1" to-layer="293" to-port="1" />
		<edge from-layer="293" from-port="2" to-layer="295" to-port="0" />
		<edge from-layer="294" from-port="0" to-layer="295" to-port="1" />
		<edge from-layer="295" from-port="2" to-layer="297" to-port="0" />
		<edge from-layer="296" from-port="0" to-layer="297" to-port="1" />
		<edge from-layer="297" from-port="2" to-layer="298" to-port="0" />
		<edge from-layer="298" from-port="1" to-layer="300" to-port="0" />
		<edge from-layer="299" from-port="0" to-layer="300" to-port="1" />
		<edge from-layer="300" from-port="2" to-layer="302" to-port="0" />
		<edge from-layer="301" from-port="0" to-layer="302" to-port="1" />
		<edge from-layer="302" from-port="2" to-layer="303" to-port="1" />
		<edge from-layer="303" from-port="2" to-layer="305" to-port="0" />
		<edge from-layer="303" from-port="2" to-layer="360" to-port="0" />
		<edge from-layer="303" from-port="2" to-layer="366" to-port="1" />
		<edge from-layer="304" from-port="0" to-layer="305" to-port="1" />
		<edge from-layer="305" from-port="2" to-layer="307" to-port="0" />
		<edge from-layer="306" from-port="0" to-layer="307" to-port="1" />
		<edge from-layer="307" from-port="2" to-layer="309" to-port="0" />
		<edge from-layer="308" from-port="0" to-layer="309" to-port="1" />
		<edge from-layer="309" from-port="2" to-layer="311" to-port="0" />
		<edge from-layer="310" from-port="0" to-layer="311" to-port="1" />
		<edge from-layer="311" from-port="2" to-layer="313" to-port="0" />
		<edge from-layer="312" from-port="0" to-layer="313" to-port="1" />
		<edge from-layer="313" from-port="2" to-layer="315" to-port="0" />
		<edge from-layer="314" from-port="0" to-layer="315" to-port="1" />
		<edge from-layer="315" from-port="2" to-layer="317" to-port="0" />
		<edge from-layer="316" from-port="0" to-layer="317" to-port="1" />
		<edge from-layer="317" from-port="2" to-layer="319" to-port="0" />
		<edge from-layer="318" from-port="0" to-layer="319" to-port="1" />
		<edge from-layer="319" from-port="2" to-layer="321" to-port="0" />
		<edge from-layer="319" from-port="2" to-layer="329" to-port="0" />
		<edge from-layer="319" from-port="2" to-layer="337" to-port="0" />
		<edge from-layer="320" from-port="0" to-layer="321" to-port="1" />
		<edge from-layer="321" from-port="2" to-layer="323" to-port="0" />
		<edge from-layer="322" from-port="0" to-layer="323" to-port="1" />
		<edge from-layer="323" from-port="2" to-layer="325" to-port="0" />
		<edge from-layer="324" from-port="0" to-layer="325" to-port="1" />
		<edge from-layer="325" from-port="2" to-layer="327" to-port="0" />
		<edge from-layer="326" from-port="0" to-layer="327" to-port="1" />
		<edge from-layer="327" from-port="2" to-layer="344" to-port="0" />
		<edge from-layer="328" from-port="0" to-layer="329" to-port="1" />
		<edge from-layer="329" from-port="2" to-layer="331" to-port="0" />
		<edge from-layer="330" from-port="0" to-layer="331" to-port="1" />
		<edge from-layer="331" from-port="2" to-layer="333" to-port="0" />
		<edge from-layer="332" from-port="0" to-layer="333" to-port="1" />
		<edge from-layer="333" from-port="2" to-layer="335" to-port="0" />
		<edge from-layer="334" from-port="0" to-layer="335" to-port="1" />
		<edge from-layer="335" from-port="2" to-layer="344" to-port="1" />
		<edge from-layer="336" from-port="0" to-layer="337" to-port="1" />
		<edge from-layer="337" from-port="2" to-layer="339" to-port="0" />
		<edge from-layer="338" from-port="0" to-layer="339" to-port="1" />
		<edge from-layer="339" from-port="2" to-layer="341" to-port="0" />
		<edge from-layer="340" from-port="0" to-layer="341" to-port="1" />
		<edge from-layer="341" from-port="2" to-layer="343" to-port="0" />
		<edge from-layer="342" from-port="0" to-layer="343" to-port="1" />
		<edge from-layer="343" from-port="2" to-layer="344" to-port="2" />
		<edge from-layer="344" from-port="3" to-layer="346" to-port="0" />
		<edge from-layer="345" from-port="0" to-layer="346" to-port="1" />
		<edge from-layer="346" from-port="2" to-layer="348" to-port="0" />
		<edge from-layer="347" from-port="0" to-layer="348" to-port="1" />
		<edge from-layer="348" from-port="2" to-layer="350" to-port="0" />
		<edge from-layer="349" from-port="0" to-layer="350" to-port="1" />
		<edge from-layer="350" from-port="2" to-layer="352" to-port="0" />
		<edge from-layer="351" from-port="0" to-layer="352" to-port="1" />
		<edge from-layer="352" from-port="2" to-layer="354" to-port="0" />
		<edge from-layer="353" from-port="0" to-layer="354" to-port="1" />
		<edge from-layer="354" from-port="2" to-layer="365" to-port="0" />
		<edge from-layer="355" from-port="1" to-layer="358" to-port="0" />
		<edge from-layer="356" from-port="0" to-layer="358" to-port="1" />
		<edge from-layer="357" from-port="0" to-layer="358" to-port="2" />
		<edge from-layer="358" from-port="3" to-layer="442" to-port="0" />
		<edge from-layer="358" from-port="3" to-layer="364" to-port="0" />
		<edge from-layer="359" from-port="0" to-layer="364" to-port="1" />
		<edge from-layer="360" from-port="1" to-layer="363" to-port="0" />
		<edge from-layer="361" from-port="0" to-layer="363" to-port="1" />
		<edge from-layer="362" from-port="0" to-layer="363" to-port="2" />
		<edge from-layer="363" from-port="3" to-layer="364" to-port="2" />
		<edge from-layer="364" from-port="3" to-layer="365" to-port="1" />
		<edge from-layer="365" from-port="2" to-layer="366" to-port="0" />
		<edge from-layer="366" from-port="2" to-layer="368" to-port="0" />
		<edge from-layer="366" from-port="2" to-layer="371" to-port="0" />
		<edge from-layer="366" from-port="2" to-layer="397" to-port="0" />
		<edge from-layer="367" from-port="0" to-layer="368" to-port="1" />
		<edge from-layer="368" from-port="2" to-layer="370" to-port="0" />
		<edge from-layer="369" from-port="0" to-layer="370" to-port="1" />
		<edge from-layer="370" from-port="2" to-layer="372" to-port="0" />
		<edge from-layer="371" from-port="1" to-layer="372" to-port="1" />
		<edge from-layer="372" from-port="2" to-layer="374" to-port="0" />
		<edge from-layer="373" from-port="0" to-layer="374" to-port="1" />
		<edge from-layer="374" from-port="2" to-layer="376" to-port="0" />
		<edge from-layer="375" from-port="0" to-layer="376" to-port="1" />
		<edge from-layer="376" from-port="2" to-layer="377" to-port="0" />
		<edge from-layer="377" from-port="1" to-layer="379" to-port="0" />
		<edge from-layer="378" from-port="0" to-layer="379" to-port="1" />
		<edge from-layer="379" from-port="2" to-layer="381" to-port="0" />
		<edge from-layer="380" from-port="0" to-layer="381" to-port="1" />
		<edge from-layer="381" from-port="2" to-layer="386" to-port="0" />
		<edge from-layer="381" from-port="2" to-layer="383" to-port="0" />
		<edge from-layer="382" from-port="0" to-layer="383" to-port="1" />
		<edge from-layer="383" from-port="2" to-layer="385" to-port="0" />
		<edge from-layer="384" from-port="0" to-layer="385" to-port="1" />
		<edge from-layer="385" from-port="2" to-layer="387" to-port="0" />
		<edge from-layer="386" from-port="1" to-layer="387" to-port="1" />
		<edge from-layer="387" from-port="2" to-layer="389" to-port="0" />
		<edge from-layer="388" from-port="0" to-layer="389" to-port="1" />
		<edge from-layer="389" from-port="2" to-layer="391" to-port="0" />
		<edge from-layer="390" from-port="0" to-layer="391" to-port="1" />
		<edge from-layer="391" from-port="2" to-layer="392" to-port="0" />
		<edge from-layer="392" from-port="1" to-layer="394" to-port="0" />
		<edge from-layer="393" from-port="0" to-layer="394" to-port="1" />
		<edge from-layer="394" from-port="2" to-layer="396" to-port="0" />
		<edge from-layer="395" from-port="0" to-layer="396" to-port="1" />
		<edge from-layer="396" from-port="2" to-layer="397" to-port="1" />
		<edge from-layer="397" from-port="2" to-layer="402" to-port="0" />
		<edge from-layer="397" from-port="2" to-layer="399" to-port="0" />
		<edge from-layer="398" from-port="0" to-layer="399" to-port="1" />
		<edge from-layer="399" from-port="2" to-layer="401" to-port="0" />
		<edge from-layer="400" from-port="0" to-layer="401" to-port="1" />
		<edge from-layer="401" from-port="2" to-layer="403" to-port="0" />
		<edge from-layer="402" from-port="1" to-layer="403" to-port="1" />
		<edge from-layer="403" from-port="2" to-layer="405" to-port="0" />
		<edge from-layer="404" from-port="0" to-layer="405" to-port="1" />
		<edge from-layer="405" from-port="2" to-layer="407" to-port="0" />
		<edge from-layer="406" from-port="0" to-layer="407" to-port="1" />
		<edge from-layer="407" from-port="2" to-layer="408" to-port="0" />
		<edge from-layer="408" from-port="1" to-layer="410" to-port="0" />
		<edge from-layer="409" from-port="0" to-layer="410" to-port="1" />
		<edge from-layer="410" from-port="2" to-layer="412" to-port="0" />
		<edge from-layer="411" from-port="0" to-layer="412" to-port="1" />
		<edge from-layer="412" from-port="2" to-layer="414" to-port="0" />
		<edge from-layer="413" from-port="0" to-layer="414" to-port="1" />
		<edge from-layer="414" from-port="2" to-layer="416" to-port="0" />
		<edge from-layer="415" from-port="0" to-layer="416" to-port="1" />
		<edge from-layer="416" from-port="2" to-layer="418" to-port="0" />
		<edge from-layer="416" from-port="2" to-layer="438" to-port="0" />
		<edge from-layer="416" from-port="2" to-layer="429" to-port="0" />
		<edge from-layer="417" from-port="0" to-layer="420" to-port="1" />
		<edge from-layer="417" from-port="0" to-layer="429" to-port="1" />
		<edge from-layer="418" from-port="1" to-layer="420" to-port="0" />
		<edge from-layer="419" from-port="0" to-layer="424" to-port="1" />
		<edge from-layer="419" from-port="0" to-layer="420" to-port="2" />
		<edge from-layer="420" from-port="3" to-layer="423" to-port="0" />
		<edge from-layer="420" from-port="3" to-layer="422" to-port="0" />
		<edge from-layer="421" from-port="0" to-layer="423" to-port="1" />
		<edge from-layer="421" from-port="0" to-layer="422" to-port="1" />
		<edge from-layer="422" from-port="2" to-layer="426" to-port="0" />
		<edge from-layer="423" from-port="2" to-layer="424" to-port="0" />
		<edge from-layer="424" from-port="2" to-layer="425" to-port="0" />
		<edge from-layer="425" from-port="1" to-layer="426" to-port="1" />
		<edge from-layer="426" from-port="2" to-layer="428" to-port="0" />
		<edge from-layer="427" from-port="0" to-layer="428" to-port="1" />
		<edge from-layer="428" from-port="2" to-layer="429" to-port="2" />
		<edge from-layer="429" from-port="3" to-layer="457" to-port="0" />
		<edge from-layer="429" from-port="3" to-layer="434" to-port="0" />
		<edge from-layer="429" from-port="4" to-layer="430" to-port="0" />
		<edge from-layer="430" from-port="1" to-layer="432" to-port="0" />
		<edge from-layer="431" from-port="0" to-layer="432" to-port="1" />
		<edge from-layer="432" from-port="2" to-layer="433" to-port="0" />
		<edge from-layer="433" from-port="1" to-layer="456" to-port="0" />
		<edge from-layer="434" from-port="1" to-layer="437" to-port="0" />
		<edge from-layer="435" from-port="0" to-layer="437" to-port="1" />
		<edge from-layer="436" from-port="0" to-layer="437" to-port="2" />
		<edge from-layer="437" from-port="3" to-layer="442" to-port="1" />
		<edge from-layer="438" from-port="1" to-layer="441" to-port="0" />
		<edge from-layer="439" from-port="0" to-layer="441" to-port="1" />
		<edge from-layer="440" from-port="0" to-layer="441" to-port="2" />
		<edge from-layer="441" from-port="3" to-layer="442" to-port="2" />
		<edge from-layer="442" from-port="3" to-layer="443" to-port="0" />
		<edge from-layer="443" from-port="1" to-layer="446" to-port="0" />
		<edge from-layer="443" from-port="1" to-layer="453" to-port="0" />
		<edge from-layer="444" from-port="0" to-layer="446" to-port="1" />
		<edge from-layer="445" from-port="0" to-layer="446" to-port="2" />
		<edge from-layer="446" from-port="3" to-layer="447" to-port="0" />
		<edge from-layer="447" from-port="1" to-layer="449" to-port="0" />
		<edge from-layer="448" from-port="0" to-layer="449" to-port="1" />
		<edge from-layer="449" from-port="2" to-layer="450" to-port="0" />
		<edge from-layer="450" from-port="1" to-layer="455" to-port="0" />
		<edge from-layer="451" from-port="0" to-layer="453" to-port="1" />
		<edge from-layer="452" from-port="0" to-layer="453" to-port="2" />
		<edge from-layer="453" from-port="3" to-layer="454" to-port="0" />
		<edge from-layer="454" from-port="1" to-layer="455" to-port="1" />
		<edge from-layer="455" from-port="2" to-layer="456" to-port="1" />
		<edge from-layer="456" from-port="2" to-layer="457" to-port="1" />
		<edge from-layer="457" from-port="2" to-layer="458" to-port="0" />
	</edges>
	<rt_info>
		<Runtime_version value="2024.3.0-16041-1e3b88e4e3f-releases/2024/3" />
		<conversion_parameters>
			<framework value="pytorch" />
			<is_python_object value="True" />
		</conversion_parameters>
		<optimum>
			<diffusers_version value="1.22.0.dev0" />
			<optimum_intel_version value="1.19.0.dev0+f692326" />
			<optimum_version value="1.22.0.dev0" />
			<pytorch_version value="2.4.0" />
			<transformers_version value="4.42.4" />
		</optimum>
	</rt_info>
</net>