vae_decoder/openvino_model.xml

<?xml version="1.0"?>
<net name="Model181" version="11">
	<layers>
		<layer id="0" name="latent_sample" type="Parameter" version="opset1">
			<data shape="1,4,?,?" element_type="f32" />
			<output>
				<port id="0" precision="FP32" names="latent_sample">
					<dim>1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="1" name="self.post_quant_conv.weight" type="Const" version="opset1">
			<data element_type="f32" shape="4, 4, 1, 1" offset="0" size="64" />
			<output>
				<port id="0" precision="FP32" names="self.post_quant_conv.weight">
					<dim>4</dim>
					<dim>4</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="2" name="__module.post_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>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>4</dim>
					<dim>4</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="3" name="__module.post_quant_conv/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 4, 1, 1" offset="64" size="16" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>4</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="4" name="__module.post_quant_conv/aten::_convolution/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="17">
					<dim>1</dim>
					<dim>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="5" name="self.decoder.conv_in.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 4, 3, 3" offset="80" size="73728" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.conv_in.weight">
					<dim>512</dim>
					<dim>4</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="6" name="__module.decoder.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>4</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>512</dim>
					<dim>4</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="7" name="__module.decoder.conv_in/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="73808" 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="8" name="__module.decoder.conv_in/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="57,input.1">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="9" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="10" name="__module.decoder.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="11" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="12" name="__module.decoder.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="13" name="__module.decoder.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="14" name="__module.decoder.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="15" name="Constant_941711" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="75872" 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="16" name="__module.decoder.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="17" name="Constant_941712" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="77920" 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="18" name="__module.decoder.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="74,input.3">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="19" 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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="75">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="20" name="self.decoder.mid_block.resnets.0.conv1.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="79968" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.mid_block.resnets.0.conv1.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="21" name="__module.decoder.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="22" name="__module.decoder.mid_block.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="9517152" 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="23" name="__module.decoder.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="82,input.5">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="24" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="25" name="__module.decoder.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="26" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="27" name="__module.decoder.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="28" name="__module.decoder.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="29" name="__module.decoder.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="30" name="Constant_941713" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="9519200" 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="31" name="__module.decoder.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="32" name="Constant_941714" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="9521248" 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="33" name="__module.decoder.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="85,input.7">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="34" 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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="86,input.9">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="35" name="self.decoder.mid_block.resnets.0.conv2.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="9523296" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.mid_block.resnets.0.conv2.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="36" name="__module.decoder.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="37" name="__module.decoder.mid_block.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="18960480" 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="38" name="__module.decoder.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="94,hidden_states.1">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="39" name="__module.decoder.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="95,96,hidden_states.3">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="40" name="Constant_941983" type="Const" version="opset1">
			<data element_type="i64" shape="3" offset="18962528" size="24" />
			<output>
				<port id="0" precision="I64">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="41" name="__module.decoder.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="112">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="42" name="__module.decoder.mid_block.attentions.0/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="18962552" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="43" name="__module.decoder.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="113,hidden_states.5">
					<dim>1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="44" name="__module.decoder.mid_block.attentions.0/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="18962552" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="45" name="__module.decoder.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="115,input.11">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="46" name="__module.decoder.mid_block.attentions.0.group_norm/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="47" name="__module.decoder.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="48" name="__module.decoder.mid_block.attentions.0.group_norm/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="49" name="__module.decoder.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="50" name="Constant_941984" type="Const" version="opset1">
			<data element_type="i64" shape="3" offset="18962528" size="24" />
			<output>
				<port id="0" precision="I64">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="51" name="__module.decoder.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="52" name="Constant_941715" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1" offset="18962564" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="53" name="__module.decoder.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="54" name="Constant_941716" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1" offset="18964612" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="55" name="__module.decoder.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="118">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="56" name="self.decoder.mid_block.attentions.0.to_q.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512" offset="18966660" size="1048576" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.mid_block.attentions.0.to_q.weight">
					<dim>512</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="57" name="__module.decoder.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="58" name="Constant_941717" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 512" offset="20015236" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="59" name="__module.decoder.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="122,query">
					<dim>1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="60" name="Constant_941985" type="Const" version="opset1">
			<data element_type="i64" shape="4" offset="20017284" size="32" />
			<output>
				<port id="0" precision="I64">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="61" name="__module.decoder.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="136">
					<dim>1</dim>
					<dim>-1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="62" name="Constant_941439" type="Const" version="opset1">
			<data element_type="i64" shape="4" offset="20017316" size="32" />
			<output>
				<port id="0" precision="I64">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="63" name="__module.decoder.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="137">
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="64" name="self.decoder.mid_block.attentions.0.to_k.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512" offset="20017348" size="1048576" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.mid_block.attentions.0.to_k.weight">
					<dim>512</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="65" name="__module.decoder.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="66" name="Constant_941718" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 512" offset="21065924" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="67" name="__module.decoder.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="125,key">
					<dim>1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="68" name="Constant_941986" type="Const" version="opset1">
			<data element_type="i64" shape="4" offset="20017284" size="32" />
			<output>
				<port id="0" precision="I64">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="69" name="__module.decoder.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="139">
					<dim>1</dim>
					<dim>-1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="70" name="Constant_941441" type="Const" version="opset1">
			<data element_type="i64" shape="4" offset="20017316" size="32" />
			<output>
				<port id="0" precision="I64">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="71" name="__module.decoder.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="140">
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="72" name="self.decoder.mid_block.attentions.0.to_v.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512" offset="21067972" size="1048576" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.mid_block.attentions.0.to_v.weight">
					<dim>512</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="73" name="__module.decoder.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="74" name="Constant_941719" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 512" offset="22116548" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="75" name="__module.decoder.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="128,value">
					<dim>1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="76" name="Constant_941987" type="Const" version="opset1">
			<data element_type="i64" shape="4" offset="20017284" size="32" />
			<output>
				<port id="0" precision="I64">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="77" name="__module.decoder.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="142">
					<dim>1</dim>
					<dim>-1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="78" name="Constant_941445" type="Const" version="opset1">
			<data element_type="i64" shape="4" offset="20017316" size="32" />
			<output>
				<port id="0" precision="I64">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="79" name="__module.decoder.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="143">
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="80" name="__module.decoder.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="144,hidden_states.7">
					<dim>1</dim>
					<dim>1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="81" name="Constant_941447" type="Const" version="opset1">
			<data element_type="i64" shape="4" offset="22118596" size="32" />
			<output>
				<port id="0" precision="I64">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="82" name="__module.decoder.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="145">
					<dim>1</dim>
					<dim>-1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="83" name="Constant_941988" type="Const" version="opset1">
			<data element_type="i64" shape="3" offset="22118628" size="24" />
			<output>
				<port id="0" precision="I64">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="84" name="__module.decoder.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="149,150,hidden_states.9">
					<dim>1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="85" name="self.decoder.mid_block.attentions.0.to_out.0.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512" offset="22118652" size="1048576" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.mid_block.attentions.0.to_out.0.weight">
					<dim>512</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="86" name="__module.decoder.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="87" name="Constant_941720" type="Const" version="opset1">
			<data element_type="f32" shape="1, 1, 512" offset="23167228" size="2048" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="88" name="__module.decoder.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="153,input.13">
					<dim>1</dim>
					<dim>-1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="89" name="__module.decoder.mid_block.attentions.0/aten::transpose/ScatterElementsUpdate_7" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="18962552" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="90" name="__module.decoder.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="155">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="91" name="ShapeOf_941959" 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="92" name="Constant_941960" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="23169276" size="8" />
			<output>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="93" name="Constant_941961" type="Const" version="opset1">
			<data element_type="i64" shape="" offset="23169276" size="8" />
			<output>
				<port id="0" precision="I64" />
			</output>
		</layer>
		<layer id="94" name="Gather_941962" 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="103,114">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="95" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct/Reshape_0" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="23169284" size="8" />
			<output>
				<port id="0" precision="I64">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="96" name="ShapeOf_941964" 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="97" name="Constant_942075" type="Const" version="opset1">
			<data element_type="i64" shape="2" offset="23169292" size="16" />
			<output>
				<port id="0" precision="I64">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="98" name="Constant_942076" type="Const" version="opset1">
			<data element_type="i64" shape="" offset="23169276" size="8" />
			<output>
				<port id="0" precision="I64" />
			</output>
		</layer>
		<layer id="99" name="Gather_942077" 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="100" name="__module.decoder.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="156">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="101" name="__module.decoder.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="157,hidden_states.13">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="102" name="__module.decoder.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="158,159,hidden_states.15,input.15">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="103" name="__module.decoder.mid_block.resnets.1.norm1/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="104" name="__module.decoder.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="105" name="__module.decoder.mid_block.resnets.1.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="106" name="__module.decoder.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="107" name="__module.decoder.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="108" name="__module.decoder.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="109" name="Constant_941721" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="23169308" 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="110" name="__module.decoder.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="111" name="Constant_941722" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="23171356" 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="112" name="__module.decoder.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="168,input.17">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="113" 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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="169">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="114" name="self.decoder.mid_block.resnets.1.conv1.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="23173404" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.mid_block.resnets.1.conv1.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="115" name="__module.decoder.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="116" name="__module.decoder.mid_block.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="32610588" 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="117" name="__module.decoder.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="176,input.19">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="118" name="__module.decoder.mid_block.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="119" name="__module.decoder.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="120" name="__module.decoder.mid_block.resnets.1.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="121" name="__module.decoder.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="122" name="__module.decoder.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="123" name="__module.decoder.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="124" name="Constant_941723" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="32612636" 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="125" name="__module.decoder.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="126" name="Constant_941724" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="32614684" 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="127" name="__module.decoder.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="179,input.21">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="128" 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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="180,input.23">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="129" name="self.decoder.mid_block.resnets.1.conv2.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="32616732" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.mid_block.resnets.1.conv2.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="130" name="__module.decoder.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="131" name="__module.decoder.mid_block.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="42053916" 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="132" name="__module.decoder.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="188,hidden_states.17">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="133" name="__module.decoder.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="189,190,191,input.25,sample">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="134" name="__module.decoder.up_blocks.0.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="135" name="__module.decoder.up_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>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="136" name="__module.decoder.up_blocks.0.resnets.0.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="137" name="__module.decoder.up_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="138" name="__module.decoder.up_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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="139" name="__module.decoder.up_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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="140" name="Constant_941725" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="42055964" 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="141" name="__module.decoder.up_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>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="142" name="Constant_941726" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="42058012" 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="143" name="__module.decoder.up_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>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="207,input.27">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="144" 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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="208">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="145" name="self.decoder.up_blocks.0.resnets.0.conv1.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="42060060" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.0.conv1.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="146" name="__module.decoder.up_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>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="147" name="__module.decoder.up_blocks.0.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="51497244" 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="148" name="__module.decoder.up_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>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="215,input.29">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="149" name="__module.decoder.up_blocks.0.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="150" name="__module.decoder.up_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>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="151" name="__module.decoder.up_blocks.0.resnets.0.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="152" name="__module.decoder.up_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="153" name="__module.decoder.up_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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="154" name="__module.decoder.up_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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="155" name="Constant_941727" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="51499292" 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="156" name="__module.decoder.up_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>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="157" name="Constant_941728" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="51501340" 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="158" name="__module.decoder.up_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>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="218,input.31">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="159" 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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="219,input.33">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="160" name="self.decoder.up_blocks.0.resnets.0.conv2.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="51503388" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.0.conv2.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="161" name="__module.decoder.up_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>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="162" name="__module.decoder.up_blocks.0.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="60940572" 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="163" name="__module.decoder.up_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>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="227,hidden_states.19">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="164" name="__module.decoder.up_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>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="228,229,input.35">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="165" name="__module.decoder.up_blocks.0.resnets.1.norm1/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="166" name="__module.decoder.up_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>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="167" name="__module.decoder.up_blocks.0.resnets.1.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="168" name="__module.decoder.up_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="169" name="__module.decoder.up_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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="170" name="__module.decoder.up_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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="171" name="Constant_941729" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="60942620" 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="172" name="__module.decoder.up_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>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="173" name="Constant_941730" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="60944668" 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.decoder.up_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>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="237,input.37">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="175" 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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="238">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="176" name="self.decoder.up_blocks.0.resnets.1.conv1.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="60946716" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.1.conv1.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="177" name="__module.decoder.up_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>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="178" name="__module.decoder.up_blocks.0.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="70383900" 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="179" name="__module.decoder.up_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>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="245,input.39">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="180" name="__module.decoder.up_blocks.0.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="181" name="__module.decoder.up_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>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="182" name="__module.decoder.up_blocks.0.resnets.1.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="183" name="__module.decoder.up_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="184" name="__module.decoder.up_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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="185" name="__module.decoder.up_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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="186" name="Constant_941731" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="70385948" 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="187" name="__module.decoder.up_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>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="188" name="Constant_941732" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="70387996" 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="189" name="__module.decoder.up_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>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="248,input.41">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="190" 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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="249,input.43">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="191" name="self.decoder.up_blocks.0.resnets.1.conv2.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="70390044" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.1.conv2.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="192" name="__module.decoder.up_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>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="193" name="__module.decoder.up_blocks.0.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="79827228" 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="194" name="__module.decoder.up_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>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="257,hidden_states.21">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="195" name="__module.decoder.up_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>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="258,259,input.45">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="196" name="__module.decoder.up_blocks.0.resnets.2.norm1/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="197" name="__module.decoder.up_blocks.0.resnets.2.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="198" name="__module.decoder.up_blocks.0.resnets.2.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="199" name="__module.decoder.up_blocks.0.resnets.2.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="200" name="__module.decoder.up_blocks.0.resnets.2.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="201" name="__module.decoder.up_blocks.0.resnets.2.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="202" name="Constant_941733" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="79829276" 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="203" name="__module.decoder.up_blocks.0.resnets.2.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="204" name="Constant_941734" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="79831324" 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.decoder.up_blocks.0.resnets.2.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="267,input.47">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="206" 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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="268">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="207" name="self.decoder.up_blocks.0.resnets.2.conv1.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="79833372" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.2.conv1.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="208" name="__module.decoder.up_blocks.0.resnets.2.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="209" name="__module.decoder.up_blocks.0.resnets.2.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="89270556" 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.decoder.up_blocks.0.resnets.2.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.49">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="211" name="__module.decoder.up_blocks.0.resnets.2.norm2/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="212" name="__module.decoder.up_blocks.0.resnets.2.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="213" name="__module.decoder.up_blocks.0.resnets.2.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="214" name="__module.decoder.up_blocks.0.resnets.2.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="215" name="__module.decoder.up_blocks.0.resnets.2.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="216" name="__module.decoder.up_blocks.0.resnets.2.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="217" name="Constant_941735" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="89272604" 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.decoder.up_blocks.0.resnets.2.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="219" name="Constant_941736" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="89274652" 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.decoder.up_blocks.0.resnets.2.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.51">
					<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_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.53">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="222" name="self.decoder.up_blocks.0.resnets.2.conv2.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="89276700" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.2.conv2.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="223" name="__module.decoder.up_blocks.0.resnets.2.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="224" name="__module.decoder.up_blocks.0.resnets.2.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="98713884" 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.decoder.up_blocks.0.resnets.2.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.23">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="226" name="__module.decoder.up_blocks.0.resnets.2/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="288,289,hidden_states.25">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="227" name="__module.decoder.up_blocks.0.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
			<data element_type="f32" shape="2" offset="98715932" size="8" />
			<output>
				<port id="0" precision="FP32">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="228" name="Constant_930745" type="Const" version="opset1">
			<data element_type="i32" shape="2" offset="98715940" size="8" />
			<output>
				<port id="0" precision="I32">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="229" name="__module.decoder.up_blocks.0.upsamplers.0/aten::upsample_nearest2d/Interpolate" type="Interpolate" version="opset11">
			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
			<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>2</dim>
				</port>
				<port id="2" precision="I32">
					<dim>2</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="FP32" names="292">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="230" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="98715948" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.up_blocks.0.upsamplers.0.conv.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="231" name="__module.decoder.up_blocks.0.upsamplers.0.conv/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="232" name="__module.decoder.up_blocks.0.upsamplers.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="108153132" 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.decoder.up_blocks.0.upsamplers.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="299,input.55">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="234" name="__module.decoder.up_blocks.1.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="235" name="__module.decoder.up_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>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="236" name="__module.decoder.up_blocks.1.resnets.0.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="237" name="__module.decoder.up_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="238" name="__module.decoder.up_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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="239" name="__module.decoder.up_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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="240" name="Constant_941737" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="108155180" 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="241" name="__module.decoder.up_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>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="242" name="Constant_941738" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="108157228" 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="243" name="__module.decoder.up_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>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="244" 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="316">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="245" name="self.decoder.up_blocks.1.resnets.0.conv1.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="108159276" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.0.conv1.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="246" name="__module.decoder.up_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>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="247" name="__module.decoder.up_blocks.1.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="117596460" 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="248" name="__module.decoder.up_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>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="323,input.59">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="249" name="__module.decoder.up_blocks.1.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="250" name="__module.decoder.up_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>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="251" name="__module.decoder.up_blocks.1.resnets.0.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="252" name="__module.decoder.up_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="253" name="__module.decoder.up_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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="254" name="__module.decoder.up_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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="255" name="Constant_941739" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="117598508" 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.decoder.up_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>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="257" name="Constant_941740" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="117600556" 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="258" name="__module.decoder.up_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>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="326,input.61">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="259" 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="327,input.63">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="260" name="self.decoder.up_blocks.1.resnets.0.conv2.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="117602604" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.0.conv2.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="261" name="__module.decoder.up_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>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="262" name="__module.decoder.up_blocks.1.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="127039788" 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="263" name="__module.decoder.up_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>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="335,hidden_states.27">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="264" name="__module.decoder.up_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>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="336,337,input.65">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="265" name="__module.decoder.up_blocks.1.resnets.1.norm1/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="266" name="__module.decoder.up_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>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="267" name="__module.decoder.up_blocks.1.resnets.1.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="268" name="__module.decoder.up_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="269" name="__module.decoder.up_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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="270" name="__module.decoder.up_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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="271" name="Constant_941741" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="127041836" 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="272" name="__module.decoder.up_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>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="273" name="Constant_941742" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="127043884" 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="274" name="__module.decoder.up_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>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="345,input.67">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="275" 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="346">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="276" name="self.decoder.up_blocks.1.resnets.1.conv1.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="127045932" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.1.conv1.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="277" name="__module.decoder.up_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>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="278" name="__module.decoder.up_blocks.1.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="136483116" 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="279" name="__module.decoder.up_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>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="353,input.69">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="280" name="__module.decoder.up_blocks.1.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="281" name="__module.decoder.up_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>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="282" name="__module.decoder.up_blocks.1.resnets.1.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="283" name="__module.decoder.up_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="284" name="__module.decoder.up_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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="285" name="__module.decoder.up_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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="286" name="Constant_941743" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="136485164" 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.decoder.up_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>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="288" name="Constant_941744" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="136487212" 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="289" name="__module.decoder.up_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>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.71">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="290" 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="357,input.73">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="291" name="self.decoder.up_blocks.1.resnets.1.conv2.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="136489260" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.1.conv2.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="292" name="__module.decoder.up_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>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="293" name="__module.decoder.up_blocks.1.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="145926444" 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="294" name="__module.decoder.up_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>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="365,hidden_states.29">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="295" name="__module.decoder.up_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>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="366,367,input.75">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="296" name="__module.decoder.up_blocks.1.resnets.2.norm1/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="297" name="__module.decoder.up_blocks.1.resnets.2.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="298" name="__module.decoder.up_blocks.1.resnets.2.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="299" name="__module.decoder.up_blocks.1.resnets.2.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="300" name="__module.decoder.up_blocks.1.resnets.2.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="301" name="__module.decoder.up_blocks.1.resnets.2.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="302" name="Constant_941745" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="145928492" 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="303" name="__module.decoder.up_blocks.1.resnets.2.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="304" name="Constant_941746" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="145930540" 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="305" name="__module.decoder.up_blocks.1.resnets.2.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="375,input.77">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="306" 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="376">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="307" name="self.decoder.up_blocks.1.resnets.2.conv1.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="145932588" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.2.conv1.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="308" name="__module.decoder.up_blocks.1.resnets.2.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="309" name="__module.decoder.up_blocks.1.resnets.2.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="155369772" 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="310" name="__module.decoder.up_blocks.1.resnets.2.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="383,input.79">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="311" name="__module.decoder.up_blocks.1.resnets.2.norm2/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="312" name="__module.decoder.up_blocks.1.resnets.2.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="313" name="__module.decoder.up_blocks.1.resnets.2.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="314" name="__module.decoder.up_blocks.1.resnets.2.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="315" name="__module.decoder.up_blocks.1.resnets.2.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="316" name="__module.decoder.up_blocks.1.resnets.2.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="317" name="Constant_941747" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="155371820" 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="318" name="__module.decoder.up_blocks.1.resnets.2.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="319" name="Constant_941748" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="155373868" 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="320" name="__module.decoder.up_blocks.1.resnets.2.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="386,input.81">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="321" 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="387,input.83">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="322" name="self.decoder.up_blocks.1.resnets.2.conv2.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="155375916" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.2.conv2.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="323" name="__module.decoder.up_blocks.1.resnets.2.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="324" name="__module.decoder.up_blocks.1.resnets.2.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="164813100" 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="325" name="__module.decoder.up_blocks.1.resnets.2.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="395,hidden_states.31">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="326" name="__module.decoder.up_blocks.1.resnets.2/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="396,397,hidden_states.33">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="327" name="__module.decoder.up_blocks.1.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
			<data element_type="f32" shape="2" offset="98715932" size="8" />
			<output>
				<port id="0" precision="FP32">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="328" name="Constant_931291" type="Const" version="opset1">
			<data element_type="i32" shape="2" offset="98715940" size="8" />
			<output>
				<port id="0" precision="I32">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="329" name="__module.decoder.up_blocks.1.upsamplers.0/aten::upsample_nearest2d/Interpolate" type="Interpolate" version="opset11">
			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
			<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>2</dim>
				</port>
				<port id="2" precision="I32">
					<dim>2</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="FP32" names="400">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="330" name="self.decoder.up_blocks.1.upsamplers.0.conv.weight" type="Const" version="opset1">
			<data element_type="f32" shape="512, 512, 3, 3" offset="164815148" size="9437184" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.up_blocks.1.upsamplers.0.conv.weight">
					<dim>512</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="331" name="__module.decoder.up_blocks.1.upsamplers.0.conv/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="332" name="__module.decoder.up_blocks.1.upsamplers.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="174252332" 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="333" name="__module.decoder.up_blocks.1.upsamplers.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="407,input.85">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="334" name="self.decoder.up_blocks.2.resnets.0.conv_shortcut.weight" type="Const" version="opset1">
			<data element_type="f32" shape="256, 512, 1, 1" offset="174254380" size="524288" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.up_blocks.2.resnets.0.conv_shortcut.weight">
					<dim>256</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="335" name="__module.decoder.up_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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>256</dim>
					<dim>512</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="336" name="__module.decoder.up_blocks.2.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="174778668" 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="337" name="__module.decoder.up_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>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="451,input_tensor.1">
					<dim>1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="338" name="__module.decoder.up_blocks.2.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="339" name="__module.decoder.up_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>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="340" name="__module.decoder.up_blocks.2.resnets.0.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="341" name="__module.decoder.up_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="342" name="__module.decoder.up_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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="343" name="__module.decoder.up_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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="344" name="Constant_941749" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="174779692" 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="345" name="__module.decoder.up_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>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="346" name="Constant_941750" type="Const" version="opset1">
			<data element_type="f32" shape="1, 512, 1, 1" offset="174781740" 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="347" name="__module.decoder.up_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>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="424,input.87">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="348" 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="425">
					<dim>1</dim>
					<dim>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="349" name="self.decoder.up_blocks.2.resnets.0.conv1.weight" type="Const" version="opset1">
			<data element_type="f32" shape="256, 512, 3, 3" offset="174783788" size="4718592" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.up_blocks.2.resnets.0.conv1.weight">
					<dim>256</dim>
					<dim>512</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="350" name="__module.decoder.up_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>512</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>256</dim>
					<dim>512</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="351" name="__module.decoder.up_blocks.2.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="179502380" 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="352" name="__module.decoder.up_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>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="432,input.89">
					<dim>1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="353" name="__module.decoder.up_blocks.2.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="354" name="__module.decoder.up_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>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="355" name="__module.decoder.up_blocks.2.resnets.0.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="356" name="__module.decoder.up_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="357" name="__module.decoder.up_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>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="358" name="__module.decoder.up_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>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="359" name="Constant_941751" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="179503404" 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="360" name="__module.decoder.up_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>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="361" name="Constant_941752" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="179504428" 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="362" name="__module.decoder.up_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>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="435,input.91">
					<dim>1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="363" 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>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="436,input.93">
					<dim>1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="364" name="self.decoder.up_blocks.2.resnets.0.conv2.weight" type="Const" version="opset1">
			<data element_type="f32" shape="256, 256, 3, 3" offset="179505452" size="2359296" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.up_blocks.2.resnets.0.conv2.weight">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="365" name="__module.decoder.up_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>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="366" name="__module.decoder.up_blocks.2.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="181864748" 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="367" name="__module.decoder.up_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>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="444,hidden_states.35">
					<dim>1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="368" name="__module.decoder.up_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>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="452,453,input.95">
					<dim>1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="369" name="__module.decoder.up_blocks.2.resnets.1.norm1/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="370" name="__module.decoder.up_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>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="371" name="__module.decoder.up_blocks.2.resnets.1.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="372" name="__module.decoder.up_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="373" name="__module.decoder.up_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>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="374" name="__module.decoder.up_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>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="375" name="Constant_941753" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="181865772" 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="376" name="__module.decoder.up_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>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="377" name="Constant_941754" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="181866796" 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="378" name="__module.decoder.up_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>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="461,input.97">
					<dim>1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="379" 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>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="462">
					<dim>1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="380" name="self.decoder.up_blocks.2.resnets.1.conv1.weight" type="Const" version="opset1">
			<data element_type="f32" shape="256, 256, 3, 3" offset="181867820" size="2359296" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.up_blocks.2.resnets.1.conv1.weight">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="381" name="__module.decoder.up_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>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="382" name="__module.decoder.up_blocks.2.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="184227116" 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="383" name="__module.decoder.up_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>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="469,input.99">
					<dim>1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="384" name="__module.decoder.up_blocks.2.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="385" name="__module.decoder.up_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>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="386" name="__module.decoder.up_blocks.2.resnets.1.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="387" name="__module.decoder.up_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="388" name="__module.decoder.up_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>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="389" name="__module.decoder.up_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>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="390" name="Constant_941755" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="184228140" 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="391" name="__module.decoder.up_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>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="392" name="Constant_941756" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="184229164" 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="393" name="__module.decoder.up_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>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="472,input.101">
					<dim>1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="394" 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>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="473,input.103">
					<dim>1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="395" name="self.decoder.up_blocks.2.resnets.1.conv2.weight" type="Const" version="opset1">
			<data element_type="f32" shape="256, 256, 3, 3" offset="184230188" size="2359296" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.up_blocks.2.resnets.1.conv2.weight">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="396" name="__module.decoder.up_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>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="397" name="__module.decoder.up_blocks.2.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="186589484" 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="398" name="__module.decoder.up_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>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="481,hidden_states.37">
					<dim>1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="399" name="__module.decoder.up_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>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="482,483,input.105">
					<dim>1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="400" name="__module.decoder.up_blocks.2.resnets.2.norm1/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="401" name="__module.decoder.up_blocks.2.resnets.2.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="402" name="__module.decoder.up_blocks.2.resnets.2.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="403" name="__module.decoder.up_blocks.2.resnets.2.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="404" name="__module.decoder.up_blocks.2.resnets.2.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="405" name="__module.decoder.up_blocks.2.resnets.2.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="406" name="Constant_941757" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="186590508" 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="407" name="__module.decoder.up_blocks.2.resnets.2.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="408" name="Constant_941758" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="186591532" 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="409" name="__module.decoder.up_blocks.2.resnets.2.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="491,input.107">
					<dim>1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="410" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_20" 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="492">
					<dim>1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="411" name="self.decoder.up_blocks.2.resnets.2.conv1.weight" type="Const" version="opset1">
			<data element_type="f32" shape="256, 256, 3, 3" offset="186592556" size="2359296" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.up_blocks.2.resnets.2.conv1.weight">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="412" name="__module.decoder.up_blocks.2.resnets.2.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="413" name="__module.decoder.up_blocks.2.resnets.2.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="188951852" 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="414" name="__module.decoder.up_blocks.2.resnets.2.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="499,input.109">
					<dim>1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="415" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="416" name="__module.decoder.up_blocks.2.resnets.2.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="417" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="418" name="__module.decoder.up_blocks.2.resnets.2.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="419" name="__module.decoder.up_blocks.2.resnets.2.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="420" name="__module.decoder.up_blocks.2.resnets.2.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="421" name="Constant_941759" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="188952876" 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="422" name="__module.decoder.up_blocks.2.resnets.2.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="423" name="Constant_941760" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="188953900" 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="424" name="__module.decoder.up_blocks.2.resnets.2.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="502,input.111">
					<dim>1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="425" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_21" 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="503,input.113">
					<dim>1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="426" name="self.decoder.up_blocks.2.resnets.2.conv2.weight" type="Const" version="opset1">
			<data element_type="f32" shape="256, 256, 3, 3" offset="188954924" size="2359296" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.up_blocks.2.resnets.2.conv2.weight">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="427" name="__module.decoder.up_blocks.2.resnets.2.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="428" name="__module.decoder.up_blocks.2.resnets.2.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="191314220" 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="429" name="__module.decoder.up_blocks.2.resnets.2.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="511,hidden_states.39">
					<dim>1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="430" name="__module.decoder.up_blocks.2.resnets.2/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="512,513,hidden_states.41">
					<dim>1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="431" name="__module.decoder.up_blocks.2.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
			<data element_type="f32" shape="2" offset="98715932" size="8" />
			<output>
				<port id="0" precision="FP32">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="432" name="Constant_931886" type="Const" version="opset1">
			<data element_type="i32" shape="2" offset="98715940" size="8" />
			<output>
				<port id="0" precision="I32">
					<dim>2</dim>
				</port>
			</output>
		</layer>
		<layer id="433" name="__module.decoder.up_blocks.2.upsamplers.0/aten::upsample_nearest2d/Interpolate" type="Interpolate" version="opset11">
			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
			<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>2</dim>
				</port>
				<port id="2" precision="I32">
					<dim>2</dim>
				</port>
			</input>
			<output>
				<port id="3" precision="FP32" names="516">
					<dim>1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="434" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight" type="Const" version="opset1">
			<data element_type="f32" shape="256, 256, 3, 3" offset="191315244" size="2359296" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.up_blocks.2.upsamplers.0.conv.weight">
					<dim>256</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="435" name="__module.decoder.up_blocks.2.upsamplers.0.conv/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="436" name="__module.decoder.up_blocks.2.upsamplers.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="193674540" 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="437" name="__module.decoder.up_blocks.2.upsamplers.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="523,input.115">
					<dim>1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="438" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight" type="Const" version="opset1">
			<data element_type="f32" shape="128, 256, 1, 1" offset="193675564" size="131072" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight">
					<dim>128</dim>
					<dim>256</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="439" name="__module.decoder.up_blocks.3.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>128</dim>
					<dim>256</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="440" name="__module.decoder.up_blocks.3.resnets.0.conv_shortcut/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="193806636" 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="441" name="__module.decoder.up_blocks.3.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>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="565,input_tensor">
					<dim>1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="442" name="__module.decoder.up_blocks.3.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="443" name="__module.decoder.up_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>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="444" name="__module.decoder.up_blocks.3.resnets.0.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="445" name="__module.decoder.up_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="446" name="__module.decoder.up_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>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="447" name="__module.decoder.up_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>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="448" name="Constant_941761" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="193807148" 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="449" name="__module.decoder.up_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>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="450" name="Constant_941762" type="Const" version="opset1">
			<data element_type="f32" shape="1, 256, 1, 1" offset="193808172" 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="451" name="__module.decoder.up_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>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="538,input.117">
					<dim>1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="452" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_22" 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="539">
					<dim>1</dim>
					<dim>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="453" name="self.decoder.up_blocks.3.resnets.0.conv1.weight" type="Const" version="opset1">
			<data element_type="f32" shape="128, 256, 3, 3" offset="193809196" size="1179648" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.up_blocks.3.resnets.0.conv1.weight">
					<dim>128</dim>
					<dim>256</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="454" name="__module.decoder.up_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>256</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>128</dim>
					<dim>256</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="455" name="__module.decoder.up_blocks.3.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="194988844" 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="456" name="__module.decoder.up_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>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="546,input.119">
					<dim>1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="457" name="__module.decoder.up_blocks.3.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="458" name="__module.decoder.up_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>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="459" name="__module.decoder.up_blocks.3.resnets.0.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="460" name="__module.decoder.up_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="461" name="__module.decoder.up_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>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="462" name="__module.decoder.up_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>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="463" name="Constant_941763" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="194989356" 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="464" name="__module.decoder.up_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>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="465" name="Constant_941764" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="194989868" 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="466" name="__module.decoder.up_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>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="549,input.121">
					<dim>1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="467" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_23" 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="550,input.123">
					<dim>1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="468" name="self.decoder.up_blocks.3.resnets.0.conv2.weight" type="Const" version="opset1">
			<data element_type="f32" shape="128, 128, 3, 3" offset="194990380" size="589824" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.up_blocks.3.resnets.0.conv2.weight">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="469" name="__module.decoder.up_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>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="470" name="__module.decoder.up_blocks.3.resnets.0.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="195580204" 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="471" name="__module.decoder.up_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>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="558,hidden_states.43">
					<dim>1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="472" name="__module.decoder.up_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>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="566,567,input.125">
					<dim>1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="473" name="__module.decoder.up_blocks.3.resnets.1.norm1/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="474" name="__module.decoder.up_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>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="475" name="__module.decoder.up_blocks.3.resnets.1.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="476" name="__module.decoder.up_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="477" name="__module.decoder.up_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>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="478" name="__module.decoder.up_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>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="479" name="Constant_941765" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="195580716" 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="480" name="__module.decoder.up_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>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="481" name="Constant_941766" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="195581228" 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="482" name="__module.decoder.up_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>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="575,input.127">
					<dim>1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="483" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_24" 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="576">
					<dim>1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="484" name="self.decoder.up_blocks.3.resnets.1.conv1.weight" type="Const" version="opset1">
			<data element_type="f32" shape="128, 128, 3, 3" offset="195581740" size="589824" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.up_blocks.3.resnets.1.conv1.weight">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="485" name="__module.decoder.up_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>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="486" name="__module.decoder.up_blocks.3.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="196171564" 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="487" name="__module.decoder.up_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>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="583,input.129">
					<dim>1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="488" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="489" name="__module.decoder.up_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>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="490" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="491" name="__module.decoder.up_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="492" name="__module.decoder.up_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>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="493" name="__module.decoder.up_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>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="494" name="Constant_941767" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="196172076" 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="495" name="__module.decoder.up_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>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="496" name="Constant_941768" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="196172588" 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="497" name="__module.decoder.up_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>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="586,input.131">
					<dim>1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="498" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_25" 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="587,input.133">
					<dim>1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="499" name="self.decoder.up_blocks.3.resnets.1.conv2.weight" type="Const" version="opset1">
			<data element_type="f32" shape="128, 128, 3, 3" offset="196173100" size="589824" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.up_blocks.3.resnets.1.conv2.weight">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="500" name="__module.decoder.up_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>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="501" name="__module.decoder.up_blocks.3.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="196762924" 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="502" name="__module.decoder.up_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>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="595,hidden_states.45">
					<dim>1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="503" name="__module.decoder.up_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>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="596,597,input.135">
					<dim>1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="504" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="505" name="__module.decoder.up_blocks.3.resnets.2.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="506" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="507" name="__module.decoder.up_blocks.3.resnets.2.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="508" name="__module.decoder.up_blocks.3.resnets.2.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="509" name="__module.decoder.up_blocks.3.resnets.2.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="510" name="Constant_941769" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="196763436" 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="511" name="__module.decoder.up_blocks.3.resnets.2.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="512" name="Constant_941770" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="196763948" 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="513" name="__module.decoder.up_blocks.3.resnets.2.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="605,input.137">
					<dim>1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="514" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_26" 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="606">
					<dim>1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="515" name="self.decoder.up_blocks.3.resnets.2.conv1.weight" type="Const" version="opset1">
			<data element_type="f32" shape="128, 128, 3, 3" offset="196764460" size="589824" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.up_blocks.3.resnets.2.conv1.weight">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="516" name="__module.decoder.up_blocks.3.resnets.2.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="517" name="__module.decoder.up_blocks.3.resnets.2.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="197354284" 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="518" name="__module.decoder.up_blocks.3.resnets.2.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="613,input.139">
					<dim>1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="519" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="520" name="__module.decoder.up_blocks.3.resnets.2.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="521" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="522" name="__module.decoder.up_blocks.3.resnets.2.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="523" name="__module.decoder.up_blocks.3.resnets.2.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="524" name="__module.decoder.up_blocks.3.resnets.2.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="525" name="Constant_941771" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="197354796" 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="526" name="__module.decoder.up_blocks.3.resnets.2.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="527" name="Constant_941772" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="197355308" 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="528" name="__module.decoder.up_blocks.3.resnets.2.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="616,input.141">
					<dim>1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="529" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_27" 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="617,input.143">
					<dim>1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="530" name="self.decoder.up_blocks.3.resnets.2.conv2.weight" type="Const" version="opset1">
			<data element_type="f32" shape="128, 128, 3, 3" offset="197355820" size="589824" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.up_blocks.3.resnets.2.conv2.weight">
					<dim>128</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="531" name="__module.decoder.up_blocks.3.resnets.2.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="532" name="__module.decoder.up_blocks.3.resnets.2.conv2/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="197945644" 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="533" name="__module.decoder.up_blocks.3.resnets.2.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="625,hidden_states">
					<dim>1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="534" name="__module.decoder.up_blocks.3.resnets.2/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="626,627,input.145">
					<dim>1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="535" name="__module.decoder.conv_norm_out/aten::group_norm/Constant" type="Const" version="opset1">
			<data element_type="i32" shape="3" offset="75856" size="12" />
			<output>
				<port id="0" precision="I32">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="536" name="__module.decoder.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>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="537" name="__module.decoder.conv_norm_out/aten::group_norm/Constant_1" type="Const" version="opset1">
			<data element_type="i32" shape="1" offset="75868" size="4" />
			<output>
				<port id="0" precision="I32">
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="538" name="__module.decoder.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="539" name="__module.decoder.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>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="I32">
					<dim>4</dim>
				</port>
			</output>
		</layer>
		<layer id="540" name="__module.decoder.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>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="541" name="Constant_941773" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="197946156" 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="542" name="__module.decoder.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>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="543" name="Constant_941774" type="Const" version="opset1">
			<data element_type="f32" shape="1, 128, 1, 1" offset="197946668" 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="544" name="__module.decoder.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>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="630,input">
					<dim>1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="545" name="__module.decoder.conv_act/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="631">
					<dim>1</dim>
					<dim>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="546" name="self.decoder.conv_out.weight" type="Const" version="opset1">
			<data element_type="f32" shape="3, 128, 3, 3" offset="197947180" size="13824" />
			<output>
				<port id="0" precision="FP32" names="self.decoder.conv_out.weight">
					<dim>3</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="547" name="__module.decoder.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>128</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>3</dim>
					<dim>128</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>3</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="548" name="__module.decoder.conv_out/aten::_convolution/Reshape" type="Const" version="opset1">
			<data element_type="f32" shape="1, 3, 1, 1" offset="197961004" size="12" />
			<output>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>3</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="549" name="__module.decoder.conv_out/aten::_convolution/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<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>1</dim>
					<dim>3</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="sample">
					<dim>1</dim>
					<dim>3</dim>
					<dim>-1</dim>
					<dim>-1</dim>
				</port>
			</output>
		</layer>
		<layer id="550" name="Result_936779" type="Result" version="opset1">
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>3</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="0" from-port="0" to-layer="91" 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="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="39" to-port="0" />
		<edge from-layer="8" from-port="2" to-layer="13" to-port="0" />
		<edge from-layer="8" from-port="2" to-layer="10" to-port="0" />
		<edge from-layer="9" from-port="0" 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="1" to-layer="14" to-port="1" />
		<edge from-layer="14" from-port="2" to-layer="16" to-port="0" />
		<edge from-layer="15" from-port="0" to-layer="16" to-port="1" />
		<edge from-layer="16" from-port="2" to-layer="18" to-port="0" />
		<edge from-layer="17" from-port="0" to-layer="18" to-port="1" />
		<edge from-layer="18" from-port="2" to-layer="19" to-port="0" />
		<edge from-layer="19" from-port="1" to-layer="21" 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="28" to-port="0" />
		<edge from-layer="23" from-port="2" to-layer="25" to-port="0" />
		<edge from-layer="24" from-port="0" 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="1" to-layer="29" to-port="1" />
		<edge from-layer="29" from-port="2" to-layer="31" to-port="0" />
		<edge from-layer="30" from-port="0" to-layer="31" to-port="1" />
		<edge from-layer="31" from-port="2" to-layer="33" to-port="0" />
		<edge from-layer="32" from-port="0" to-layer="33" to-port="1" />
		<edge from-layer="33" from-port="2" to-layer="34" to-port="0" />
		<edge from-layer="34" from-port="1" to-layer="36" to-port="0" />
		<edge from-layer="35" from-port="0" to-layer="36" to-port="1" />
		<edge from-layer="36" from-port="2" to-layer="38" to-port="0" />
		<edge from-layer="37" from-port="0" to-layer="38" to-port="1" />
		<edge from-layer="38" from-port="2" to-layer="39" to-port="1" />
		<edge from-layer="39" from-port="2" to-layer="41" to-port="0" />
		<edge from-layer="39" from-port="2" to-layer="102" to-port="1" />
		<edge from-layer="39" from-port="2" to-layer="96" to-port="0" />
		<edge from-layer="40" from-port="0" 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="47" to-port="0" />
		<edge from-layer="46" from-port="0" to-layer="47" to-port="1" />
		<edge from-layer="47" from-port="2" to-layer="49" to-port="0" />
		<edge from-layer="48" from-port="0" to-layer="49" to-port="1" />
		<edge from-layer="49" from-port="2" to-layer="51" to-port="0" />
		<edge from-layer="50" from-port="0" to-layer="51" to-port="1" />
		<edge from-layer="51" from-port="2" to-layer="53" to-port="0" />
		<edge from-layer="52" from-port="0" to-layer="53" to-port="1" />
		<edge from-layer="53" from-port="2" to-layer="55" to-port="0" />
		<edge from-layer="54" from-port="0" to-layer="55" to-port="1" />
		<edge from-layer="55" from-port="2" to-layer="57" to-port="0" />
		<edge from-layer="55" from-port="2" to-layer="65" to-port="0" />
		<edge from-layer="55" from-port="2" to-layer="73" to-port="0" />
		<edge from-layer="56" from-port="0" to-layer="57" to-port="1" />
		<edge from-layer="57" from-port="2" to-layer="59" to-port="0" />
		<edge from-layer="58" from-port="0" to-layer="59" to-port="1" />
		<edge from-layer="59" from-port="2" to-layer="61" to-port="0" />
		<edge from-layer="60" from-port="0" to-layer="61" to-port="1" />
		<edge from-layer="61" from-port="2" 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="80" 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="67" to-port="0" />
		<edge from-layer="66" from-port="0" to-layer="67" to-port="1" />
		<edge from-layer="67" from-port="2" to-layer="69" to-port="0" />
		<edge from-layer="68" from-port="0" to-layer="69" to-port="1" />
		<edge from-layer="69" from-port="2" to-layer="71" to-port="0" />
		<edge from-layer="70" from-port="0" to-layer="71" to-port="1" />
		<edge from-layer="71" from-port="2" to-layer="80" to-port="1" />
		<edge from-layer="72" from-port="0" to-layer="73" to-port="1" />
		<edge from-layer="73" from-port="2" to-layer="75" to-port="0" />
		<edge from-layer="74" from-port="0" to-layer="75" to-port="1" />
		<edge from-layer="75" from-port="2" to-layer="77" to-port="0" />
		<edge from-layer="76" from-port="0" to-layer="77" to-port="1" />
		<edge from-layer="77" from-port="2" to-layer="79" to-port="0" />
		<edge from-layer="78" from-port="0" to-layer="79" to-port="1" />
		<edge from-layer="79" from-port="2" to-layer="80" to-port="2" />
		<edge from-layer="80" from-port="3" 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="86" to-port="0" />
		<edge from-layer="85" from-port="0" to-layer="86" to-port="1" />
		<edge from-layer="86" from-port="2" to-layer="88" to-port="0" />
		<edge from-layer="87" from-port="0" to-layer="88" to-port="1" />
		<edge from-layer="88" from-port="2" to-layer="90" to-port="0" />
		<edge from-layer="89" from-port="0" to-layer="90" to-port="1" />
		<edge from-layer="90" from-port="2" to-layer="101" to-port="0" />
		<edge from-layer="91" from-port="1" to-layer="94" to-port="0" />
		<edge from-layer="92" from-port="0" to-layer="94" to-port="1" />
		<edge from-layer="93" from-port="0" to-layer="94" to-port="2" />
		<edge from-layer="94" from-port="3" to-layer="100" to-port="0" />
		<edge from-layer="95" from-port="0" to-layer="100" to-port="1" />
		<edge from-layer="96" from-port="1" to-layer="99" to-port="0" />
		<edge from-layer="97" from-port="0" to-layer="99" to-port="1" />
		<edge from-layer="98" from-port="0" to-layer="99" to-port="2" />
		<edge from-layer="99" from-port="3" to-layer="100" to-port="2" />
		<edge from-layer="100" from-port="3" to-layer="101" to-port="1" />
		<edge from-layer="101" from-port="2" to-layer="102" to-port="0" />
		<edge from-layer="102" from-port="2" to-layer="104" to-port="0" />
		<edge from-layer="102" from-port="2" to-layer="107" to-port="0" />
		<edge from-layer="102" from-port="2" to-layer="133" 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="106" to-port="0" />
		<edge from-layer="105" from-port="0" to-layer="106" to-port="1" />
		<edge from-layer="106" from-port="2" to-layer="108" to-port="0" />
		<edge from-layer="107" from-port="1" to-layer="108" to-port="1" />
		<edge from-layer="108" from-port="2" to-layer="110" to-port="0" />
		<edge from-layer="109" from-port="0" to-layer="110" to-port="1" />
		<edge from-layer="110" from-port="2" to-layer="112" to-port="0" />
		<edge from-layer="111" from-port="0" to-layer="112" to-port="1" />
		<edge from-layer="112" from-port="2" to-layer="113" to-port="0" />
		<edge from-layer="113" from-port="1" 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="117" to-port="0" />
		<edge from-layer="116" from-port="0" to-layer="117" to-port="1" />
		<edge from-layer="117" from-port="2" to-layer="119" to-port="0" />
		<edge from-layer="117" from-port="2" to-layer="122" to-port="0" />
		<edge from-layer="118" from-port="0" to-layer="119" to-port="1" />
		<edge from-layer="119" from-port="2" to-layer="121" to-port="0" />
		<edge from-layer="120" from-port="0" to-layer="121" to-port="1" />
		<edge from-layer="121" from-port="2" to-layer="123" to-port="0" />
		<edge from-layer="122" from-port="1" to-layer="123" to-port="1" />
		<edge from-layer="123" from-port="2" to-layer="125" to-port="0" />
		<edge from-layer="124" from-port="0" to-layer="125" to-port="1" />
		<edge from-layer="125" from-port="2" to-layer="127" to-port="0" />
		<edge from-layer="126" from-port="0" to-layer="127" to-port="1" />
		<edge from-layer="127" from-port="2" to-layer="128" to-port="0" />
		<edge from-layer="128" from-port="1" 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="132" to-port="0" />
		<edge from-layer="131" from-port="0" to-layer="132" to-port="1" />
		<edge from-layer="132" from-port="2" to-layer="133" to-port="1" />
		<edge from-layer="133" from-port="2" to-layer="135" to-port="0" />
		<edge from-layer="133" from-port="2" to-layer="138" to-port="0" />
		<edge from-layer="133" from-port="2" to-layer="164" 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="137" to-port="0" />
		<edge from-layer="136" from-port="0" to-layer="137" to-port="1" />
		<edge from-layer="137" from-port="2" to-layer="139" to-port="0" />
		<edge from-layer="138" from-port="1" to-layer="139" to-port="1" />
		<edge from-layer="139" from-port="2" to-layer="141" to-port="0" />
		<edge from-layer="140" from-port="0" to-layer="141" to-port="1" />
		<edge from-layer="141" from-port="2" to-layer="143" to-port="0" />
		<edge from-layer="142" from-port="0" to-layer="143" to-port="1" />
		<edge from-layer="143" from-port="2" to-layer="144" to-port="0" />
		<edge from-layer="144" from-port="1" to-layer="146" 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="153" to-port="0" />
		<edge from-layer="148" from-port="2" to-layer="150" to-port="0" />
		<edge from-layer="149" from-port="0" 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="1" to-layer="154" to-port="1" />
		<edge from-layer="154" from-port="2" to-layer="156" to-port="0" />
		<edge from-layer="155" from-port="0" to-layer="156" to-port="1" />
		<edge from-layer="156" from-port="2" to-layer="158" to-port="0" />
		<edge from-layer="157" from-port="0" to-layer="158" to-port="1" />
		<edge from-layer="158" from-port="2" to-layer="159" to-port="0" />
		<edge from-layer="159" from-port="1" to-layer="161" 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="164" to-port="1" />
		<edge from-layer="164" from-port="2" to-layer="195" to-port="0" />
		<edge from-layer="164" from-port="2" to-layer="169" to-port="0" />
		<edge from-layer="164" from-port="2" to-layer="166" to-port="0" />
		<edge from-layer="165" from-port="0" to-layer="166" to-port="1" />
		<edge from-layer="166" from-port="2" to-layer="168" to-port="0" />
		<edge from-layer="167" from-port="0" to-layer="168" to-port="1" />
		<edge from-layer="168" from-port="2" to-layer="170" to-port="0" />
		<edge from-layer="169" from-port="1" to-layer="170" to-port="1" />
		<edge from-layer="170" from-port="2" 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="0" />
		<edge from-layer="175" from-port="1" to-layer="177" 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="179" from-port="2" to-layer="184" to-port="0" />
		<edge from-layer="180" from-port="0" 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="1" to-layer="185" to-port="1" />
		<edge from-layer="185" from-port="2" to-layer="187" to-port="0" />
		<edge from-layer="186" from-port="0" to-layer="187" to-port="1" />
		<edge from-layer="187" from-port="2" to-layer="189" to-port="0" />
		<edge from-layer="188" from-port="0" to-layer="189" to-port="1" />
		<edge from-layer="189" from-port="2" to-layer="190" to-port="0" />
		<edge from-layer="190" from-port="1" to-layer="192" 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="195" to-port="1" />
		<edge from-layer="195" from-port="2" to-layer="197" to-port="0" />
		<edge from-layer="195" from-port="2" to-layer="200" to-port="0" />
		<edge from-layer="195" from-port="2" to-layer="226" to-port="0" />
		<edge from-layer="196" from-port="0" to-layer="197" to-port="1" />
		<edge from-layer="197" from-port="2" to-layer="199" to-port="0" />
		<edge from-layer="198" from-port="0" to-layer="199" to-port="1" />
		<edge from-layer="199" from-port="2" to-layer="201" to-port="0" />
		<edge from-layer="200" from-port="1" to-layer="201" to-port="1" />
		<edge from-layer="201" from-port="2" 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="0" />
		<edge from-layer="206" from-port="1" 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="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="226" to-port="1" />
		<edge from-layer="226" from-port="2" to-layer="229" to-port="0" />
		<edge from-layer="227" from-port="0" to-layer="229" to-port="1" />
		<edge from-layer="228" from-port="0" to-layer="229" to-port="2" />
		<edge from-layer="229" from-port="3" to-layer="231" to-port="0" />
		<edge from-layer="230" from-port="0" 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="264" to-port="0" />
		<edge from-layer="233" from-port="2" to-layer="238" to-port="0" />
		<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="237" to-port="0" />
		<edge from-layer="236" from-port="0" to-layer="237" to-port="1" />
		<edge from-layer="237" from-port="2" to-layer="239" to-port="0" />
		<edge from-layer="238" from-port="1" to-layer="239" to-port="1" />
		<edge from-layer="239" from-port="2" to-layer="241" to-port="0" />
		<edge from-layer="240" from-port="0" to-layer="241" to-port="1" />
		<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="244" to-port="0" />
		<edge from-layer="244" from-port="1" to-layer="246" to-port="0" />
		<edge from-layer="245" from-port="0" to-layer="246" to-port="1" />
		<edge from-layer="246" from-port="2" to-layer="248" to-port="0" />
		<edge from-layer="247" from-port="0" to-layer="248" to-port="1" />
		<edge from-layer="248" from-port="2" to-layer="250" to-port="0" />
		<edge from-layer="248" from-port="2" to-layer="253" to-port="0" />
		<edge from-layer="249" from-port="0" to-layer="250" to-port="1" />
		<edge from-layer="250" from-port="2" to-layer="252" to-port="0" />
		<edge from-layer="251" from-port="0" to-layer="252" to-port="1" />
		<edge from-layer="252" from-port="2" to-layer="254" to-port="0" />
		<edge from-layer="253" from-port="1" 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="257" from-port="0" to-layer="258" to-port="1" />
		<edge from-layer="258" from-port="2" to-layer="259" to-port="0" />
		<edge from-layer="259" from-port="1" to-layer="261" to-port="0" />
		<edge from-layer="260" from-port="0" to-layer="261" to-port="1" />
		<edge from-layer="261" from-port="2" to-layer="263" to-port="0" />
		<edge from-layer="262" from-port="0" to-layer="263" to-port="1" />
		<edge from-layer="263" from-port="2" to-layer="264" to-port="1" />
		<edge from-layer="264" from-port="2" to-layer="266" to-port="0" />
		<edge from-layer="264" from-port="2" to-layer="269" to-port="0" />
		<edge from-layer="264" from-port="2" to-layer="295" 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="268" to-port="0" />
		<edge from-layer="267" from-port="0" to-layer="268" to-port="1" />
		<edge from-layer="268" from-port="2" to-layer="270" to-port="0" />
		<edge from-layer="269" from-port="1" to-layer="270" to-port="1" />
		<edge from-layer="270" from-port="2" to-layer="272" to-port="0" />
		<edge from-layer="271" from-port="0" to-layer="272" to-port="1" />
		<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="275" to-port="0" />
		<edge from-layer="275" from-port="1" to-layer="277" to-port="0" />
		<edge from-layer="276" from-port="0" to-layer="277" to-port="1" />
		<edge from-layer="277" from-port="2" to-layer="279" to-port="0" />
		<edge from-layer="278" from-port="0" to-layer="279" to-port="1" />
		<edge from-layer="279" from-port="2" to-layer="281" to-port="0" />
		<edge from-layer="279" from-port="2" to-layer="284" to-port="0" />
		<edge from-layer="280" from-port="0" to-layer="281" to-port="1" />
		<edge from-layer="281" from-port="2" to-layer="283" to-port="0" />
		<edge from-layer="282" from-port="0" to-layer="283" to-port="1" />
		<edge from-layer="283" from-port="2" to-layer="285" to-port="0" />
		<edge from-layer="284" from-port="1" 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="288" from-port="0" to-layer="289" to-port="1" />
		<edge from-layer="289" from-port="2" to-layer="290" to-port="0" />
		<edge from-layer="290" from-port="1" to-layer="292" to-port="0" />
		<edge from-layer="291" from-port="0" to-layer="292" to-port="1" />
		<edge from-layer="292" from-port="2" to-layer="294" to-port="0" />
		<edge from-layer="293" from-port="0" to-layer="294" to-port="1" />
		<edge from-layer="294" from-port="2" to-layer="295" to-port="1" />
		<edge from-layer="295" from-port="2" to-layer="326" to-port="0" />
		<edge from-layer="295" from-port="2" to-layer="297" to-port="0" />
		<edge from-layer="295" from-port="2" to-layer="300" 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="299" to-port="0" />
		<edge from-layer="298" from-port="0" to-layer="299" to-port="1" />
		<edge from-layer="299" from-port="2" to-layer="301" to-port="0" />
		<edge from-layer="300" from-port="1" to-layer="301" to-port="1" />
		<edge from-layer="301" from-port="2" to-layer="303" to-port="0" />
		<edge from-layer="302" from-port="0" to-layer="303" to-port="1" />
		<edge from-layer="303" from-port="2" to-layer="305" to-port="0" />
		<edge from-layer="304" from-port="0" to-layer="305" to-port="1" />
		<edge from-layer="305" from-port="2" to-layer="306" to-port="0" />
		<edge from-layer="306" from-port="1" to-layer="308" to-port="0" />
		<edge from-layer="307" from-port="0" to-layer="308" to-port="1" />
		<edge from-layer="308" from-port="2" to-layer="310" to-port="0" />
		<edge from-layer="309" from-port="0" to-layer="310" to-port="1" />
		<edge from-layer="310" from-port="2" to-layer="312" to-port="0" />
		<edge from-layer="310" from-port="2" to-layer="315" to-port="0" />
		<edge from-layer="311" from-port="0" to-layer="312" to-port="1" />
		<edge from-layer="312" from-port="2" to-layer="314" to-port="0" />
		<edge from-layer="313" from-port="0" to-layer="314" to-port="1" />
		<edge from-layer="314" from-port="2" to-layer="316" to-port="0" />
		<edge from-layer="315" from-port="1" to-layer="316" to-port="1" />
		<edge from-layer="316" from-port="2" to-layer="318" to-port="0" />
		<edge from-layer="317" from-port="0" to-layer="318" to-port="1" />
		<edge from-layer="318" from-port="2" to-layer="320" to-port="0" />
		<edge from-layer="319" from-port="0" to-layer="320" to-port="1" />
		<edge from-layer="320" from-port="2" to-layer="321" to-port="0" />
		<edge from-layer="321" from-port="1" 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="326" to-port="1" />
		<edge from-layer="326" from-port="2" to-layer="329" to-port="0" />
		<edge from-layer="327" from-port="0" to-layer="329" to-port="1" />
		<edge from-layer="328" from-port="0" to-layer="329" to-port="2" />
		<edge from-layer="329" from-port="3" 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="333" from-port="2" to-layer="339" to-port="0" />
		<edge from-layer="333" from-port="2" to-layer="342" 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="337" to-port="0" />
		<edge from-layer="336" from-port="0" to-layer="337" to-port="1" />
		<edge from-layer="337" from-port="2" to-layer="368" 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="1" to-layer="343" to-port="1" />
		<edge from-layer="343" from-port="2" to-layer="345" to-port="0" />
		<edge from-layer="344" from-port="0" to-layer="345" to-port="1" />
		<edge from-layer="345" from-port="2" to-layer="347" to-port="0" />
		<edge from-layer="346" from-port="0" to-layer="347" to-port="1" />
		<edge from-layer="347" from-port="2" to-layer="348" to-port="0" />
		<edge from-layer="348" from-port="1" 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="352" from-port="2" to-layer="357" 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="356" to-port="0" />
		<edge from-layer="355" from-port="0" to-layer="356" to-port="1" />
		<edge from-layer="356" from-port="2" to-layer="358" to-port="0" />
		<edge from-layer="357" from-port="1" to-layer="358" to-port="1" />
		<edge from-layer="358" from-port="2" to-layer="360" to-port="0" />
		<edge from-layer="359" from-port="0" to-layer="360" to-port="1" />
		<edge from-layer="360" from-port="2" to-layer="362" to-port="0" />
		<edge from-layer="361" from-port="0" to-layer="362" to-port="1" />
		<edge from-layer="362" from-port="2" to-layer="363" to-port="0" />
		<edge from-layer="363" from-port="1" to-layer="365" to-port="0" />
		<edge from-layer="364" from-port="0" to-layer="365" to-port="1" />
		<edge from-layer="365" from-port="2" to-layer="367" to-port="0" />
		<edge from-layer="366" from-port="0" to-layer="367" to-port="1" />
		<edge from-layer="367" from-port="2" to-layer="368" to-port="1" />
		<edge from-layer="368" from-port="2" to-layer="370" to-port="0" />
		<edge from-layer="368" from-port="2" to-layer="399" to-port="0" />
		<edge from-layer="368" from-port="2" to-layer="373" 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="0" 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="1" 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="378" to-port="0" />
		<edge from-layer="377" from-port="0" to-layer="378" to-port="1" />
		<edge from-layer="378" from-port="2" to-layer="379" to-port="0" />
		<edge from-layer="379" from-port="1" 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="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="383" from-port="2" to-layer="388" 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="0" 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="1" 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="393" to-port="0" />
		<edge from-layer="392" from-port="0" to-layer="393" to-port="1" />
		<edge from-layer="393" from-port="2" to-layer="394" to-port="0" />
		<edge from-layer="394" from-port="1" 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="398" to-port="0" />
		<edge from-layer="397" from-port="0" to-layer="398" to-port="1" />
		<edge from-layer="398" from-port="2" to-layer="399" to-port="1" />
		<edge from-layer="399" from-port="2" to-layer="401" to-port="0" />
		<edge from-layer="399" from-port="2" to-layer="430" to-port="0" />
		<edge from-layer="399" from-port="2" to-layer="404" 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="0" 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="1" 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="409" to-port="0" />
		<edge from-layer="408" from-port="0" to-layer="409" to-port="1" />
		<edge from-layer="409" from-port="2" to-layer="410" to-port="0" />
		<edge from-layer="410" from-port="1" 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="414" from-port="2" to-layer="419" 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="417" from-port="0" to-layer="418" to-port="1" />
		<edge from-layer="418" from-port="2" to-layer="420" to-port="0" />
		<edge from-layer="419" from-port="1" to-layer="420" to-port="1" />
		<edge from-layer="420" from-port="2" to-layer="422" to-port="0" />
		<edge from-layer="421" from-port="0" to-layer="422" to-port="1" />
		<edge from-layer="422" from-port="2" to-layer="424" to-port="0" />
		<edge from-layer="423" from-port="0" to-layer="424" to-port="1" />
		<edge from-layer="424" from-port="2" to-layer="425" to-port="0" />
		<edge from-layer="425" from-port="1" to-layer="427" to-port="0" />
		<edge from-layer="426" from-port="0" to-layer="427" to-port="1" />
		<edge from-layer="427" from-port="2" to-layer="429" to-port="0" />
		<edge from-layer="428" from-port="0" to-layer="429" to-port="1" />
		<edge from-layer="429" from-port="2" to-layer="430" to-port="1" />
		<edge from-layer="430" from-port="2" to-layer="433" to-port="0" />
		<edge from-layer="431" from-port="0" to-layer="433" to-port="1" />
		<edge from-layer="432" from-port="0" to-layer="433" to-port="2" />
		<edge from-layer="433" from-port="3" to-layer="435" to-port="0" />
		<edge from-layer="434" from-port="0" to-layer="435" to-port="1" />
		<edge from-layer="435" from-port="2" to-layer="437" to-port="0" />
		<edge from-layer="436" from-port="0" to-layer="437" to-port="1" />
		<edge from-layer="437" from-port="2" to-layer="439" to-port="0" />
		<edge from-layer="437" from-port="2" to-layer="443" to-port="0" />
		<edge from-layer="437" from-port="2" to-layer="446" to-port="0" />
		<edge from-layer="438" from-port="0" to-layer="439" to-port="1" />
		<edge from-layer="439" from-port="2" to-layer="441" to-port="0" />
		<edge from-layer="440" from-port="0" to-layer="441" to-port="1" />
		<edge from-layer="441" from-port="2" to-layer="472" to-port="0" />
		<edge from-layer="442" from-port="0" to-layer="443" to-port="1" />
		<edge from-layer="443" from-port="2" to-layer="445" to-port="0" />
		<edge from-layer="444" from-port="0" to-layer="445" to-port="1" />
		<edge from-layer="445" from-port="2" to-layer="447" to-port="0" />
		<edge from-layer="446" from-port="1" to-layer="447" to-port="1" />
		<edge from-layer="447" from-port="2" 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="451" to-port="0" />
		<edge from-layer="450" from-port="0" to-layer="451" to-port="1" />
		<edge from-layer="451" from-port="2" to-layer="452" to-port="0" />
		<edge from-layer="452" from-port="1" to-layer="454" to-port="0" />
		<edge from-layer="453" from-port="0" to-layer="454" to-port="1" />
		<edge from-layer="454" from-port="2" to-layer="456" to-port="0" />
		<edge from-layer="455" from-port="0" to-layer="456" to-port="1" />
		<edge from-layer="456" from-port="2" to-layer="458" to-port="0" />
		<edge from-layer="456" from-port="2" to-layer="461" to-port="0" />
		<edge from-layer="457" from-port="0" to-layer="458" to-port="1" />
		<edge from-layer="458" from-port="2" to-layer="460" to-port="0" />
		<edge from-layer="459" from-port="0" to-layer="460" to-port="1" />
		<edge from-layer="460" from-port="2" to-layer="462" to-port="0" />
		<edge from-layer="461" from-port="1" to-layer="462" to-port="1" />
		<edge from-layer="462" from-port="2" to-layer="464" to-port="0" />
		<edge from-layer="463" from-port="0" to-layer="464" to-port="1" />
		<edge from-layer="464" from-port="2" to-layer="466" to-port="0" />
		<edge from-layer="465" from-port="0" to-layer="466" to-port="1" />
		<edge from-layer="466" from-port="2" to-layer="467" to-port="0" />
		<edge from-layer="467" from-port="1" to-layer="469" to-port="0" />
		<edge from-layer="468" from-port="0" to-layer="469" to-port="1" />
		<edge from-layer="469" from-port="2" to-layer="471" to-port="0" />
		<edge from-layer="470" from-port="0" to-layer="471" to-port="1" />
		<edge from-layer="471" from-port="2" to-layer="472" to-port="1" />
		<edge from-layer="472" from-port="2" to-layer="474" to-port="0" />
		<edge from-layer="472" from-port="2" to-layer="477" to-port="0" />
		<edge from-layer="472" from-port="2" to-layer="503" to-port="0" />
		<edge from-layer="473" from-port="0" to-layer="474" to-port="1" />
		<edge from-layer="474" from-port="2" to-layer="476" to-port="0" />
		<edge from-layer="475" from-port="0" to-layer="476" to-port="1" />
		<edge from-layer="476" from-port="2" to-layer="478" to-port="0" />
		<edge from-layer="477" from-port="1" to-layer="478" to-port="1" />
		<edge from-layer="478" from-port="2" to-layer="480" to-port="0" />
		<edge from-layer="479" from-port="0" to-layer="480" to-port="1" />
		<edge from-layer="480" from-port="2" to-layer="482" to-port="0" />
		<edge from-layer="481" from-port="0" to-layer="482" to-port="1" />
		<edge from-layer="482" from-port="2" to-layer="483" to-port="0" />
		<edge from-layer="483" from-port="1" to-layer="485" to-port="0" />
		<edge from-layer="484" from-port="0" to-layer="485" to-port="1" />
		<edge from-layer="485" from-port="2" to-layer="487" to-port="0" />
		<edge from-layer="486" from-port="0" to-layer="487" to-port="1" />
		<edge from-layer="487" from-port="2" to-layer="489" to-port="0" />
		<edge from-layer="487" from-port="2" to-layer="492" to-port="0" />
		<edge from-layer="488" from-port="0" to-layer="489" to-port="1" />
		<edge from-layer="489" from-port="2" to-layer="491" to-port="0" />
		<edge from-layer="490" from-port="0" to-layer="491" to-port="1" />
		<edge from-layer="491" from-port="2" to-layer="493" to-port="0" />
		<edge from-layer="492" from-port="1" to-layer="493" to-port="1" />
		<edge from-layer="493" from-port="2" to-layer="495" to-port="0" />
		<edge from-layer="494" from-port="0" to-layer="495" to-port="1" />
		<edge from-layer="495" from-port="2" to-layer="497" to-port="0" />
		<edge from-layer="496" from-port="0" to-layer="497" to-port="1" />
		<edge from-layer="497" from-port="2" to-layer="498" to-port="0" />
		<edge from-layer="498" from-port="1" to-layer="500" to-port="0" />
		<edge from-layer="499" from-port="0" to-layer="500" to-port="1" />
		<edge from-layer="500" from-port="2" to-layer="502" to-port="0" />
		<edge from-layer="501" from-port="0" to-layer="502" to-port="1" />
		<edge from-layer="502" from-port="2" to-layer="503" to-port="1" />
		<edge from-layer="503" from-port="2" to-layer="505" to-port="0" />
		<edge from-layer="503" from-port="2" to-layer="534" to-port="0" />
		<edge from-layer="503" from-port="2" to-layer="508" to-port="0" />
		<edge from-layer="504" from-port="0" to-layer="505" to-port="1" />
		<edge from-layer="505" from-port="2" to-layer="507" to-port="0" />
		<edge from-layer="506" from-port="0" to-layer="507" to-port="1" />
		<edge from-layer="507" from-port="2" to-layer="509" to-port="0" />
		<edge from-layer="508" from-port="1" to-layer="509" to-port="1" />
		<edge from-layer="509" from-port="2" to-layer="511" to-port="0" />
		<edge from-layer="510" from-port="0" to-layer="511" to-port="1" />
		<edge from-layer="511" from-port="2" to-layer="513" to-port="0" />
		<edge from-layer="512" from-port="0" to-layer="513" to-port="1" />
		<edge from-layer="513" from-port="2" to-layer="514" to-port="0" />
		<edge from-layer="514" from-port="1" to-layer="516" to-port="0" />
		<edge from-layer="515" from-port="0" to-layer="516" to-port="1" />
		<edge from-layer="516" from-port="2" to-layer="518" to-port="0" />
		<edge from-layer="517" from-port="0" to-layer="518" to-port="1" />
		<edge from-layer="518" from-port="2" to-layer="523" to-port="0" />
		<edge from-layer="518" from-port="2" to-layer="520" to-port="0" />
		<edge from-layer="519" from-port="0" to-layer="520" to-port="1" />
		<edge from-layer="520" from-port="2" to-layer="522" to-port="0" />
		<edge from-layer="521" from-port="0" to-layer="522" to-port="1" />
		<edge from-layer="522" from-port="2" to-layer="524" to-port="0" />
		<edge from-layer="523" from-port="1" to-layer="524" to-port="1" />
		<edge from-layer="524" from-port="2" to-layer="526" to-port="0" />
		<edge from-layer="525" from-port="0" to-layer="526" to-port="1" />
		<edge from-layer="526" from-port="2" to-layer="528" to-port="0" />
		<edge from-layer="527" from-port="0" to-layer="528" to-port="1" />
		<edge from-layer="528" from-port="2" to-layer="529" to-port="0" />
		<edge from-layer="529" from-port="1" to-layer="531" to-port="0" />
		<edge from-layer="530" from-port="0" to-layer="531" to-port="1" />
		<edge from-layer="531" from-port="2" to-layer="533" to-port="0" />
		<edge from-layer="532" from-port="0" to-layer="533" to-port="1" />
		<edge from-layer="533" from-port="2" to-layer="534" to-port="1" />
		<edge from-layer="534" from-port="2" to-layer="536" to-port="0" />
		<edge from-layer="534" from-port="2" to-layer="539" to-port="0" />
		<edge from-layer="535" from-port="0" to-layer="536" to-port="1" />
		<edge from-layer="536" from-port="2" to-layer="538" to-port="0" />
		<edge from-layer="537" from-port="0" to-layer="538" to-port="1" />
		<edge from-layer="538" from-port="2" to-layer="540" to-port="0" />
		<edge from-layer="539" from-port="1" to-layer="540" to-port="1" />
		<edge from-layer="540" from-port="2" to-layer="542" to-port="0" />
		<edge from-layer="541" from-port="0" to-layer="542" to-port="1" />
		<edge from-layer="542" from-port="2" to-layer="544" to-port="0" />
		<edge from-layer="543" from-port="0" to-layer="544" to-port="1" />
		<edge from-layer="544" from-port="2" to-layer="545" to-port="0" />
		<edge from-layer="545" from-port="1" to-layer="547" to-port="0" />
		<edge from-layer="546" from-port="0" to-layer="547" to-port="1" />
		<edge from-layer="547" from-port="2" to-layer="549" to-port="0" />
		<edge from-layer="548" from-port="0" to-layer="549" to-port="1" />
		<edge from-layer="549" from-port="2" to-layer="550" to-port="0" />
	</edges>
	<rt_info>
		<Runtime_version value="2024.2.0-15519-5c0f38f83f6-releases/2024/2" />
		<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+7a224c2" />
			<optimum_version value="1.22.0.dev0" />
			<pytorch_version value="2.4.0" />
			<transformers_version value="4.42.4" />
		</optimum>
	</rt_info>
</net>