<?xml version="1.0"?> <net name="Model9" 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="u8" shape="4, 4, 1, 1" offset="0" size="16" /> <output> <port id="0" precision="U8"> <dim>4</dim> <dim>4</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="2" name="Convert_246152" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>4</dim> <dim>4</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>4</dim> <dim>4</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="3" name="self.post_quant_conv.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="4, 1, 1, 1" offset="16" size="4" /> <output> <port id="0" precision="U8"> <dim>4</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="4" name="Convert_246155" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>4</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>4</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="5" name="self.post_quant_conv.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>4</dim> <dim>4</dim> <dim>1</dim> <dim>1</dim> </port> <port id="1" precision="FP16"> <dim>4</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>4</dim> <dim>4</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="6" name="self.post_quant_conv.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="4, 1, 1, 1" offset="20" size="8" /> <output> <port id="0" precision="FP16"> <dim>4</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="7" name="self.post_quant_conv.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>4</dim> <dim>4</dim> <dim>1</dim> <dim>1</dim> </port> <port id="1" precision="FP16"> <dim>4</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>4</dim> <dim>4</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="8" name="self.post_quant_conv.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>4</dim> <dim>4</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>4</dim> <dim>4</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="9" 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="10" name="__module.post_quant_conv/aten::_convolution/Reshape" type="Const" version="opset1"> <data element_type="f32" shape="1, 4, 1, 1" offset="28" 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="11" 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="12" name="self.decoder.conv_in.weight" type="Const" version="opset1"> <data element_type="u8" shape="512, 4, 3, 3" offset="44" size="18432" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>4</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="13" name="Convert_246130" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>4</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>4</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="14" name="self.decoder.conv_in.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="512, 1, 1, 1" offset="18476" size="512" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="15" name="Convert_246133" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="16" name="self.decoder.conv_in.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>4</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>4</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="17" name="self.decoder.conv_in.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="512, 1, 1, 1" offset="18988" size="1024" /> <output> <port id="0" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="18" name="self.decoder.conv_in.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>4</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>4</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="19" name="self.decoder.conv_in.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>4</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>512</dim> <dim>4</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="20" 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="21" name="__module.decoder.conv_in/aten::_convolution/Reshape" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="20012" 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="22" 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="23" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="24" 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="25" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Constant_1" type="Const" version="opset1"> <data element_type="i32" shape="1" offset="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="26" 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="27" 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="28" 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="29" name="Constant_231667" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="22076" 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="30" 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="31" name="Constant_231668" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="24124" 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="32" 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="33" 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="34" name="self.decoder.mid_block.resnets.0.conv1.weight" type="Const" version="opset1"> <data element_type="u8" shape="512, 512, 3, 3" offset="26172" size="2359296" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="35" name="Convert_245723" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="36" name="self.decoder.mid_block.resnets.0.conv1.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="512, 1, 1, 1" offset="2385468" size="512" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="37" name="Convert_245726" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="38" name="self.decoder.mid_block.resnets.0.conv1.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="39" name="self.decoder.mid_block.resnets.0.conv1.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="512, 1, 1, 1" offset="2385980" size="1024" /> <output> <port id="0" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="40" name="self.decoder.mid_block.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="41" name="self.decoder.mid_block.resnets.0.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="42" 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="43" 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="2387004" 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="44" 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="45" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="46" 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="47" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/Constant_1" type="Const" version="opset1"> <data element_type="i32" shape="1" offset="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="48" 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="49" 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="50" 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="51" name="Constant_231669" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="2389052" 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="52" 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="53" name="Constant_231670" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="2391100" 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="54" 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="55" 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="56" name="self.decoder.mid_block.resnets.0.conv2.weight" type="Const" version="opset1"> <data element_type="u8" shape="512, 512, 3, 3" offset="2393148" size="2359296" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="57" name="Convert_245734" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="58" name="self.decoder.mid_block.resnets.0.conv2.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="512, 1, 1, 1" offset="4752444" size="512" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="59" name="Convert_245737" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="60" name="self.decoder.mid_block.resnets.0.conv2.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="61" name="self.decoder.mid_block.resnets.0.conv2.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="512, 1, 1, 1" offset="4752956" size="1024" /> <output> <port id="0" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="62" name="self.decoder.mid_block.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="63" name="self.decoder.mid_block.resnets.0.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="64" 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="65" 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="4753980" 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="66" 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="67" 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="68" name="Constant_231939" type="Const" version="opset1"> <data element_type="i64" shape="3" offset="4756028" size="24" /> <output> <port id="0" precision="I64"> <dim>3</dim> </port> </output> </layer> <layer id="69" 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="70" name="__module.decoder.mid_block.attentions.0/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="4756052" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="71" 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="72" name="__module.decoder.mid_block.attentions.0/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="4756052" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="73" 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="74" name="__module.decoder.mid_block.attentions.0.group_norm/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="75" 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="76" 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="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="77" 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="78" name="Constant_231940" type="Const" version="opset1"> <data element_type="i64" shape="3" offset="4756028" size="24" /> <output> <port id="0" precision="I64"> <dim>3</dim> </port> </output> </layer> <layer id="79" 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="80" name="Constant_231671" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1" offset="4756064" size="2048" /> <output> <port id="0" precision="FP32"> <dim>1</dim> <dim>512</dim> <dim>1</dim> </port> </output> </layer> <layer id="81" 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="82" name="Constant_231672" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1" offset="4758112" size="2048" /> <output> <port id="0" precision="FP32"> <dim>1</dim> <dim>512</dim> <dim>1</dim> </port> </output> </layer> <layer id="83" 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="84" name="self.decoder.mid_block.attentions.0.to_q.weight" type="Const" version="opset1"> <data element_type="u8" shape="512, 512" offset="4760160" size="262144" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> </port> </output> </layer> <layer id="85" name="Convert_246031" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>512</dim> </port> </output> </layer> <layer id="86" name="self.decoder.mid_block.attentions.0.to_q.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="512, 1" offset="5022304" size="512" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> </port> </output> </layer> <layer id="87" name="Convert_246034" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> </port> </output> </layer> <layer id="88" name="self.decoder.mid_block.attentions.0.to_q.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> </port> </output> </layer> <layer id="89" name="self.decoder.mid_block.attentions.0.to_q.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="512, 1" offset="5022816" size="1024" /> <output> <port id="0" precision="FP16"> <dim>512</dim> <dim>1</dim> </port> </output> </layer> <layer id="90" name="self.decoder.mid_block.attentions.0.to_q.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> </port> </output> </layer> <layer id="91" name="self.decoder.mid_block.attentions.0.to_q.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>512</dim> <dim>512</dim> </port> </output> </layer> <layer id="92" 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="93" name="Constant_231673" type="Const" version="opset1"> <data element_type="f32" shape="1, 1, 512" offset="5023840" size="2048" /> <output> <port id="0" precision="FP32"> <dim>1</dim> <dim>1</dim> <dim>512</dim> </port> </output> </layer> <layer id="94" 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="95" name="Constant_231941" type="Const" version="opset1"> <data element_type="i64" shape="4" offset="5025888" size="32" /> <output> <port id="0" precision="I64"> <dim>4</dim> </port> </output> </layer> <layer id="96" 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="97" name="Constant_231395" type="Const" version="opset1"> <data element_type="i64" shape="4" offset="5025920" size="32" /> <output> <port id="0" precision="I64"> <dim>4</dim> </port> </output> </layer> <layer id="98" 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="99" name="self.decoder.mid_block.attentions.0.to_k.weight" type="Const" version="opset1"> <data element_type="u8" shape="512, 512" offset="5025952" size="262144" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> </port> </output> </layer> <layer id="100" name="Convert_246020" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>512</dim> </port> </output> </layer> <layer id="101" name="self.decoder.mid_block.attentions.0.to_k.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="512, 1" offset="5288096" size="512" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> </port> </output> </layer> <layer id="102" name="Convert_246023" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> </port> </output> </layer> <layer id="103" name="self.decoder.mid_block.attentions.0.to_k.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> </port> </output> </layer> <layer id="104" name="self.decoder.mid_block.attentions.0.to_k.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="512, 1" offset="5288608" size="1024" /> <output> <port id="0" precision="FP16"> <dim>512</dim> <dim>1</dim> </port> </output> </layer> <layer id="105" name="self.decoder.mid_block.attentions.0.to_k.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> </port> </output> </layer> <layer id="106" name="self.decoder.mid_block.attentions.0.to_k.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>512</dim> <dim>512</dim> </port> </output> </layer> <layer id="107" 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="108" name="Constant_231674" type="Const" version="opset1"> <data element_type="f32" shape="1, 1, 512" offset="5289632" size="2048" /> <output> <port id="0" precision="FP32"> <dim>1</dim> <dim>1</dim> <dim>512</dim> </port> </output> </layer> <layer id="109" 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="110" name="Constant_231942" type="Const" version="opset1"> <data element_type="i64" shape="4" offset="5025888" size="32" /> <output> <port id="0" precision="I64"> <dim>4</dim> </port> </output> </layer> <layer id="111" 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="112" name="Constant_231397" type="Const" version="opset1"> <data element_type="i64" shape="4" offset="5025920" size="32" /> <output> <port id="0" precision="I64"> <dim>4</dim> </port> </output> </layer> <layer id="113" 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="114" name="self.decoder.mid_block.attentions.0.to_v.weight" type="Const" version="opset1"> <data element_type="u8" shape="512, 512" offset="5291680" size="262144" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> </port> </output> </layer> <layer id="115" name="Convert_246009" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>512</dim> </port> </output> </layer> <layer id="116" name="self.decoder.mid_block.attentions.0.to_v.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="512, 1" offset="5553824" size="512" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> </port> </output> </layer> <layer id="117" name="Convert_246012" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> </port> </output> </layer> <layer id="118" name="self.decoder.mid_block.attentions.0.to_v.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> </port> </output> </layer> <layer id="119" name="self.decoder.mid_block.attentions.0.to_v.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="512, 1" offset="5554336" size="1024" /> <output> <port id="0" precision="FP16"> <dim>512</dim> <dim>1</dim> </port> </output> </layer> <layer id="120" name="self.decoder.mid_block.attentions.0.to_v.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> </port> </output> </layer> <layer id="121" name="self.decoder.mid_block.attentions.0.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>512</dim> <dim>512</dim> </port> </output> </layer> <layer id="122" 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="123" name="Constant_231675" type="Const" version="opset1"> <data element_type="f32" shape="1, 1, 512" offset="5555360" size="2048" /> <output> <port id="0" precision="FP32"> <dim>1</dim> <dim>1</dim> <dim>512</dim> </port> </output> </layer> <layer id="124" 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="125" name="Constant_231943" type="Const" version="opset1"> <data element_type="i64" shape="4" offset="5025888" size="32" /> <output> <port id="0" precision="I64"> <dim>4</dim> </port> </output> </layer> <layer id="126" 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="127" name="Constant_231401" type="Const" version="opset1"> <data element_type="i64" shape="4" offset="5025920" size="32" /> <output> <port id="0" precision="I64"> <dim>4</dim> </port> </output> </layer> <layer id="128" 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="129" 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="130" name="Constant_231403" type="Const" version="opset1"> <data element_type="i64" shape="4" offset="5557408" size="32" /> <output> <port id="0" precision="I64"> <dim>4</dim> </port> </output> </layer> <layer id="131" 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="132" name="Constant_231944" type="Const" version="opset1"> <data element_type="i64" shape="3" offset="5557440" size="24" /> <output> <port id="0" precision="I64"> <dim>3</dim> </port> </output> </layer> <layer id="133" 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="134" name="self.decoder.mid_block.attentions.0.to_out.0.weight" type="Const" version="opset1"> <data element_type="u8" shape="512, 512" offset="5557464" size="262144" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> </port> </output> </layer> <layer id="135" name="Convert_246042" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>512</dim> </port> </output> </layer> <layer id="136" name="self.decoder.mid_block.attentions.0.to_out.0.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="512, 1" offset="5819608" size="512" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> </port> </output> </layer> <layer id="137" name="Convert_246045" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> </port> </output> </layer> <layer id="138" name="self.decoder.mid_block.attentions.0.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> </port> </output> </layer> <layer id="139" name="self.decoder.mid_block.attentions.0.to_out.0.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="512, 1" offset="5820120" size="1024" /> <output> <port id="0" precision="FP16"> <dim>512</dim> <dim>1</dim> </port> </output> </layer> <layer id="140" name="self.decoder.mid_block.attentions.0.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> </port> </output> </layer> <layer id="141" name="self.decoder.mid_block.attentions.0.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>512</dim> <dim>512</dim> </port> </output> </layer> <layer id="142" 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="143" name="Constant_231676" type="Const" version="opset1"> <data element_type="f32" shape="1, 1, 512" offset="5821144" size="2048" /> <output> <port id="0" precision="FP32"> <dim>1</dim> <dim>1</dim> <dim>512</dim> </port> </output> </layer> <layer id="144" 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="145" name="__module.decoder.mid_block.attentions.0/aten::transpose/ScatterElementsUpdate_7" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="4756052" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="146" 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="147" name="ShapeOf_231915" 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="148" name="Constant_231916" type="Const" version="opset1"> <data element_type="i64" shape="1" offset="5823192" size="8" /> <output> <port id="0" precision="I64"> <dim>1</dim> </port> </output> </layer> <layer id="149" name="Constant_231917" type="Const" version="opset1"> <data element_type="i64" shape="" offset="5823192" size="8" /> <output> <port id="0" precision="I64" /> </output> </layer> <layer id="150" name="Gather_231918" 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="151" name="__module.decoder.mid_block.attentions.0/prim::ListConstruct/Reshape_0" type="Const" version="opset1"> <data element_type="i64" shape="1" offset="5823200" size="8" /> <output> <port id="0" precision="I64"> <dim>1</dim> </port> </output> </layer> <layer id="152" name="ShapeOf_231920" 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="153" name="Constant_232047" type="Const" version="opset1"> <data element_type="i64" shape="2" offset="5823208" size="16" /> <output> <port id="0" precision="I64"> <dim>2</dim> </port> </output> </layer> <layer id="154" name="Constant_232048" type="Const" version="opset1"> <data element_type="i64" shape="" offset="5823192" size="8" /> <output> <port id="0" precision="I64" /> </output> </layer> <layer id="155" name="Gather_232049" 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="156" 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="157" 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="158" 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="159" name="__module.decoder.mid_block.resnets.1.norm1/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="160" 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="161" name="__module.decoder.mid_block.resnets.1.norm1/aten::group_norm/Constant_1" type="Const" version="opset1"> <data element_type="i32" shape="1" offset="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="162" 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="163" 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="164" 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="165" name="Constant_231677" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="5823224" 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="166" 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="167" name="Constant_231678" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="5825272" 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="168" 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="169" 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="170" name="self.decoder.mid_block.resnets.1.conv1.weight" type="Const" version="opset1"> <data element_type="u8" shape="512, 512, 3, 3" offset="5827320" size="2359296" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="171" name="Convert_245745" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="172" name="self.decoder.mid_block.resnets.1.conv1.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="512, 1, 1, 1" offset="8186616" size="512" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="173" name="Convert_245748" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="174" name="self.decoder.mid_block.resnets.1.conv1.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="175" name="self.decoder.mid_block.resnets.1.conv1.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="512, 1, 1, 1" offset="8187128" size="1024" /> <output> <port id="0" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="176" name="self.decoder.mid_block.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="177" name="self.decoder.mid_block.resnets.1.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="178" 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="179" 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="8188152" 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="180" 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="181" name="__module.decoder.mid_block.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="182" 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="183" name="__module.decoder.mid_block.resnets.1.norm2/aten::group_norm/Constant_1" type="Const" version="opset1"> <data element_type="i32" shape="1" offset="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="184" 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="185" 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="186" 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="187" name="Constant_231679" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="8190200" 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="188" 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="189" name="Constant_231680" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="8192248" size="2048" /> <output> <port id="0" precision="FP32"> <dim>1</dim> <dim>512</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="190" name="__module.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="191" 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="192" name="self.decoder.mid_block.resnets.1.conv2.weight" type="Const" version="opset1"> <data element_type="u8" shape="512, 512, 3, 3" offset="8194296" size="2359296" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="193" name="Convert_245756" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="194" name="self.decoder.mid_block.resnets.1.conv2.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="512, 1, 1, 1" offset="10553592" size="512" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="195" name="Convert_245759" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="196" name="self.decoder.mid_block.resnets.1.conv2.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="197" name="self.decoder.mid_block.resnets.1.conv2.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="512, 1, 1, 1" offset="10554104" size="1024" /> <output> <port id="0" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="198" name="self.decoder.mid_block.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="199" name="self.decoder.mid_block.resnets.1.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="200" 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="201" 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="10555128" 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="202" 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="203" 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="204" name="__module.decoder.up_blocks.0.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="205" 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="206" 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="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="207" 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="208" 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="209" 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="210" name="Constant_231681" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="10557176" 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="211" 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="212" name="Constant_231682" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="10559224" 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="213" 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="214" 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="215" name="self.decoder.up_blocks.0.resnets.0.conv1.weight" type="Const" version="opset1"> <data element_type="u8" shape="512, 512, 3, 3" offset="10561272" size="2359296" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="216" name="Convert_245767" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="217" name="self.decoder.up_blocks.0.resnets.0.conv1.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="512, 1, 1, 1" offset="12920568" size="512" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="218" name="Convert_245770" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="219" name="self.decoder.up_blocks.0.resnets.0.conv1.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="220" name="self.decoder.up_blocks.0.resnets.0.conv1.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="512, 1, 1, 1" offset="12921080" size="1024" /> <output> <port id="0" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="221" name="self.decoder.up_blocks.0.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="222" name="self.decoder.up_blocks.0.resnets.0.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <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.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1"> <data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" /> <input> <port id="0" precision="FP32"> <dim>1</dim> <dim>512</dim> <dim>-1</dim> <dim>-1</dim> </port> <port id="1" precision="FP32"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="2" precision="FP32"> <dim>1</dim> <dim>512</dim> <dim>-1</dim> <dim>-1</dim> </port> </output> </layer> <layer id="224" name="__module.decoder.up_blocks.0.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="12922104" 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.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="226" name="__module.decoder.up_blocks.0.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="227" 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="228" 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="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="229" 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="230" 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="231" 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="232" name="Constant_231683" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="12924152" 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.resnets.0.norm2/aten::group_norm/Multiply" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP32"> <dim>1</dim> <dim>512</dim> <dim>-1</dim> <dim>-1</dim> </port> <port id="1" precision="FP32"> <dim>1</dim> <dim>512</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP32"> <dim>1</dim> <dim>512</dim> <dim>-1</dim> <dim>-1</dim> </port> </output> </layer> <layer id="234" name="Constant_231684" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="12926200" size="2048" /> <output> <port id="0" precision="FP32"> <dim>1</dim> <dim>512</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="235" name="__module.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="236" 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="237" name="self.decoder.up_blocks.0.resnets.0.conv2.weight" type="Const" version="opset1"> <data element_type="u8" shape="512, 512, 3, 3" offset="12928248" size="2359296" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="238" name="Convert_245778" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="239" name="self.decoder.up_blocks.0.resnets.0.conv2.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="512, 1, 1, 1" offset="15287544" size="512" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="240" name="Convert_245781" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="241" name="self.decoder.up_blocks.0.resnets.0.conv2.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="242" name="self.decoder.up_blocks.0.resnets.0.conv2.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="512, 1, 1, 1" offset="15288056" size="1024" /> <output> <port id="0" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="243" name="self.decoder.up_blocks.0.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="244" name="self.decoder.up_blocks.0.resnets.0.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="245" 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="246" 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="15289080" 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="247" 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="248" 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="249" name="__module.decoder.up_blocks.0.resnets.1.norm1/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="250" 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="251" 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="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="252" 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="253" 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="254" 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="255" name="Constant_231685" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="15291128" 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.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="257" name="Constant_231686" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="15293176" 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.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="259" 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="260" name="self.decoder.up_blocks.0.resnets.1.conv1.weight" type="Const" version="opset1"> <data element_type="u8" shape="512, 512, 3, 3" offset="15295224" size="2359296" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="261" name="Convert_245789" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="262" name="self.decoder.up_blocks.0.resnets.1.conv1.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="512, 1, 1, 1" offset="17654520" size="512" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="263" name="Convert_245792" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="264" name="self.decoder.up_blocks.0.resnets.1.conv1.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="265" name="self.decoder.up_blocks.0.resnets.1.conv1.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="512, 1, 1, 1" offset="17655032" size="1024" /> <output> <port id="0" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="266" name="self.decoder.up_blocks.0.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="267" name="self.decoder.up_blocks.0.resnets.1.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="268" 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="269" 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="17656056" 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="270" 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="271" name="__module.decoder.up_blocks.0.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="272" 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="273" 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="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="274" 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="275" 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="276" 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="277" name="Constant_231687" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="17658104" 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="278" 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="279" name="Constant_231688" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="17660152" size="2048" /> <output> <port id="0" precision="FP32"> <dim>1</dim> <dim>512</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="280" name="__module.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="281" 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="282" name="self.decoder.up_blocks.0.resnets.1.conv2.weight" type="Const" version="opset1"> <data element_type="u8" shape="512, 512, 3, 3" offset="17662200" size="2359296" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="283" name="Convert_245800" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="284" name="self.decoder.up_blocks.0.resnets.1.conv2.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="512, 1, 1, 1" offset="20021496" size="512" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="285" name="Convert_245803" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="286" name="self.decoder.up_blocks.0.resnets.1.conv2.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="287" name="self.decoder.up_blocks.0.resnets.1.conv2.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="512, 1, 1, 1" offset="20022008" size="1024" /> <output> <port id="0" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="288" name="self.decoder.up_blocks.0.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="289" name="self.decoder.up_blocks.0.resnets.1.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="290" 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="291" 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="20023032" 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="292" 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="293" 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="294" name="__module.decoder.up_blocks.0.resnets.2.norm1/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="295" 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="296" 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="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="297" 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="298" 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="299" 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="300" name="Constant_231689" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="20025080" 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="301" 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="302" name="Constant_231690" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="20027128" 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.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="304" 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="305" name="self.decoder.up_blocks.0.resnets.2.conv1.weight" type="Const" version="opset1"> <data element_type="u8" shape="512, 512, 3, 3" offset="20029176" size="2359296" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="306" name="Convert_245811" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="307" name="self.decoder.up_blocks.0.resnets.2.conv1.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="512, 1, 1, 1" offset="22388472" size="512" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="308" name="Convert_245814" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="309" name="self.decoder.up_blocks.0.resnets.2.conv1.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="310" name="self.decoder.up_blocks.0.resnets.2.conv1.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="512, 1, 1, 1" offset="22388984" size="1024" /> <output> <port id="0" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="311" name="self.decoder.up_blocks.0.resnets.2.conv1.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="312" name="self.decoder.up_blocks.0.resnets.2.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="313" 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="314" 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="22390008" 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="315" 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="316" name="__module.decoder.up_blocks.0.resnets.2.norm2/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="317" 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="318" 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="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="319" 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="320" 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="321" 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="322" name="Constant_231691" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="22392056" 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="323" 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="324" name="Constant_231692" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="22394104" 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.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="326" 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="327" name="self.decoder.up_blocks.0.resnets.2.conv2.weight" type="Const" version="opset1"> <data element_type="u8" shape="512, 512, 3, 3" offset="22396152" size="2359296" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="328" name="Convert_245822" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="329" name="self.decoder.up_blocks.0.resnets.2.conv2.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="512, 1, 1, 1" offset="24755448" size="512" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="330" name="Convert_245825" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="331" name="self.decoder.up_blocks.0.resnets.2.conv2.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="332" name="self.decoder.up_blocks.0.resnets.2.conv2.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="512, 1, 1, 1" offset="24755960" size="1024" /> <output> <port id="0" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="333" name="self.decoder.up_blocks.0.resnets.2.conv2.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="334" name="self.decoder.up_blocks.0.resnets.2.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="335" 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="336" 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="24756984" 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="337" 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="338" 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="339" name="__module.decoder.up_blocks.0.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1"> <data element_type="f32" shape="2" offset="24759032" size="8" /> <output> <port id="0" precision="FP32"> <dim>2</dim> </port> </output> </layer> <layer id="340" name="Constant_220595" type="Const" version="opset1"> <data element_type="i32" shape="2" offset="24759040" size="8" /> <output> <port id="0" precision="I32"> <dim>2</dim> </port> </output> </layer> <layer id="341" 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="342" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight" type="Const" version="opset1"> <data element_type="u8" shape="512, 512, 3, 3" offset="24759048" size="2359296" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="343" name="Convert_245833" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="344" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="512, 1, 1, 1" offset="27118344" size="512" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="345" name="Convert_245836" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="346" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="347" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="512, 1, 1, 1" offset="27118856" size="1024" /> <output> <port id="0" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="348" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="349" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="350" 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="351" 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="27119880" 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="352" 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="353" name="__module.decoder.up_blocks.1.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="354" 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="355" 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="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="356" 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="357" 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="358" 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="359" name="Constant_231693" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="27121928" 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="360" 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="361" name="Constant_231694" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="27123976" 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="362" 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="363" 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="364" name="self.decoder.up_blocks.1.resnets.0.conv1.weight" type="Const" version="opset1"> <data element_type="u8" shape="512, 512, 3, 3" offset="27126024" size="2359296" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="365" name="Convert_245844" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="366" name="self.decoder.up_blocks.1.resnets.0.conv1.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="512, 1, 1, 1" offset="29485320" size="512" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="367" name="Convert_245847" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="368" name="self.decoder.up_blocks.1.resnets.0.conv1.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="369" name="self.decoder.up_blocks.1.resnets.0.conv1.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="512, 1, 1, 1" offset="29485832" size="1024" /> <output> <port id="0" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="370" name="self.decoder.up_blocks.1.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="371" name="self.decoder.up_blocks.1.resnets.0.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="372" 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="373" 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="29486856" size="2048" /> <output> <port id="0" precision="FP32"> <dim>1</dim> <dim>512</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="374" name="__module.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="375" name="__module.decoder.up_blocks.1.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="376" 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="377" 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="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="378" 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="379" 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="380" 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="381" name="Constant_231695" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="29488904" 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="382" 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="383" name="Constant_231696" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="29490952" 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="384" 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="385" 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="386" name="self.decoder.up_blocks.1.resnets.0.conv2.weight" type="Const" version="opset1"> <data element_type="u8" shape="512, 512, 3, 3" offset="29493000" size="2359296" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="387" name="Convert_245855" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="388" name="self.decoder.up_blocks.1.resnets.0.conv2.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="512, 1, 1, 1" offset="31852296" size="512" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="389" name="Convert_245858" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="390" name="self.decoder.up_blocks.1.resnets.0.conv2.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="391" name="self.decoder.up_blocks.1.resnets.0.conv2.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="512, 1, 1, 1" offset="31852808" size="1024" /> <output> <port id="0" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="392" name="self.decoder.up_blocks.1.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="393" name="self.decoder.up_blocks.1.resnets.0.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="394" 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="395" 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="31853832" size="2048" /> <output> <port id="0" precision="FP32"> <dim>1</dim> <dim>512</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="396" name="__module.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="397" 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="398" name="__module.decoder.up_blocks.1.resnets.1.norm1/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="399" 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="400" 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="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="401" 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="402" 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="403" 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="404" name="Constant_231697" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="31855880" size="2048" /> <output> <port id="0" precision="FP32"> <dim>1</dim> <dim>512</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="405" name="__module.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="406" name="Constant_231698" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="31857928" size="2048" /> <output> <port id="0" precision="FP32"> <dim>1</dim> <dim>512</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="407" name="__module.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="408" 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="409" name="self.decoder.up_blocks.1.resnets.1.conv1.weight" type="Const" version="opset1"> <data element_type="u8" shape="512, 512, 3, 3" offset="31859976" size="2359296" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="410" name="Convert_245866" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="411" name="self.decoder.up_blocks.1.resnets.1.conv1.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="512, 1, 1, 1" offset="34219272" size="512" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="412" name="Convert_245869" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="413" name="self.decoder.up_blocks.1.resnets.1.conv1.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="414" name="self.decoder.up_blocks.1.resnets.1.conv1.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="512, 1, 1, 1" offset="34219784" size="1024" /> <output> <port id="0" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="415" name="self.decoder.up_blocks.1.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="416" name="self.decoder.up_blocks.1.resnets.1.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="417" 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="418" 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="34220808" 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="419" 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="420" name="__module.decoder.up_blocks.1.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="421" 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="422" 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="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="423" 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="424" 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="425" 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="426" name="Constant_231699" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="34222856" 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="427" 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="428" name="Constant_231700" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="34224904" 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="429" 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="430" 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="431" name="self.decoder.up_blocks.1.resnets.1.conv2.weight" type="Const" version="opset1"> <data element_type="u8" shape="512, 512, 3, 3" offset="34226952" size="2359296" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="432" name="Convert_245877" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="433" name="self.decoder.up_blocks.1.resnets.1.conv2.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="512, 1, 1, 1" offset="36586248" size="512" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="434" name="Convert_245880" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="435" name="self.decoder.up_blocks.1.resnets.1.conv2.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="436" name="self.decoder.up_blocks.1.resnets.1.conv2.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="512, 1, 1, 1" offset="36586760" size="1024" /> <output> <port id="0" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="437" name="self.decoder.up_blocks.1.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="438" name="self.decoder.up_blocks.1.resnets.1.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="439" 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="440" 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="36587784" 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="441" 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="442" 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="443" name="__module.decoder.up_blocks.1.resnets.2.norm1/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="444" 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="445" 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="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="446" 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="447" 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="448" 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="449" name="Constant_231701" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="36589832" 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="450" 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="451" name="Constant_231702" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="36591880" 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="452" 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="453" 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="454" name="self.decoder.up_blocks.1.resnets.2.conv1.weight" type="Const" version="opset1"> <data element_type="u8" shape="512, 512, 3, 3" offset="36593928" size="2359296" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="455" name="Convert_245888" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="456" name="self.decoder.up_blocks.1.resnets.2.conv1.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="512, 1, 1, 1" offset="38953224" size="512" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="457" name="Convert_245891" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="458" name="self.decoder.up_blocks.1.resnets.2.conv1.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="459" name="self.decoder.up_blocks.1.resnets.2.conv1.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="512, 1, 1, 1" offset="38953736" size="1024" /> <output> <port id="0" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="460" name="self.decoder.up_blocks.1.resnets.2.conv1.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="461" name="self.decoder.up_blocks.1.resnets.2.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="462" 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="463" 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="38954760" 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="464" 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="465" name="__module.decoder.up_blocks.1.resnets.2.norm2/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="466" 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="467" 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="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="468" 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="469" 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="470" 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="471" name="Constant_231703" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="38956808" 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="472" 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="473" name="Constant_231704" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="38958856" 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="474" 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="475" 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="476" name="self.decoder.up_blocks.1.resnets.2.conv2.weight" type="Const" version="opset1"> <data element_type="u8" shape="512, 512, 3, 3" offset="38960904" size="2359296" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="477" name="Convert_245899" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="478" name="self.decoder.up_blocks.1.resnets.2.conv2.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="512, 1, 1, 1" offset="41320200" size="512" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="479" name="Convert_245902" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="480" name="self.decoder.up_blocks.1.resnets.2.conv2.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="481" name="self.decoder.up_blocks.1.resnets.2.conv2.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="512, 1, 1, 1" offset="41320712" size="1024" /> <output> <port id="0" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="482" name="self.decoder.up_blocks.1.resnets.2.conv2.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="483" name="self.decoder.up_blocks.1.resnets.2.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="484" 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="485" 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="41321736" 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="486" 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="487" 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="488" name="__module.decoder.up_blocks.1.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1"> <data element_type="f32" shape="2" offset="24759032" size="8" /> <output> <port id="0" precision="FP32"> <dim>2</dim> </port> </output> </layer> <layer id="489" name="Constant_221141" type="Const" version="opset1"> <data element_type="i32" shape="2" offset="24759040" size="8" /> <output> <port id="0" precision="I32"> <dim>2</dim> </port> </output> </layer> <layer id="490" 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="491" name="self.decoder.up_blocks.1.upsamplers.0.conv.weight" type="Const" version="opset1"> <data element_type="u8" shape="512, 512, 3, 3" offset="41323784" size="2359296" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="492" name="Convert_245910" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="493" name="self.decoder.up_blocks.1.upsamplers.0.conv.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="512, 1, 1, 1" offset="43683080" size="512" /> <output> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="494" name="Convert_245913" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="495" name="self.decoder.up_blocks.1.upsamplers.0.conv.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="496" name="self.decoder.up_blocks.1.upsamplers.0.conv.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="512, 1, 1, 1" offset="43683592" size="1024" /> <output> <port id="0" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="497" name="self.decoder.up_blocks.1.upsamplers.0.conv.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>512</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="498" name="self.decoder.up_blocks.1.upsamplers.0.conv.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>512</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="499" 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="500" 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="43684616" 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="501" 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="502" name="self.decoder.up_blocks.2.resnets.0.conv_shortcut.weight" type="Const" version="opset1"> <data element_type="u8" shape="256, 512, 1, 1" offset="43686664" size="131072" /> <output> <port id="0" precision="U8"> <dim>256</dim> <dim>512</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="503" name="Convert_246108" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>256</dim> <dim>512</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>256</dim> <dim>512</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="504" name="self.decoder.up_blocks.2.resnets.0.conv_shortcut.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="256, 1, 1, 1" offset="43817736" size="256" /> <output> <port id="0" precision="U8"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="505" name="Convert_246111" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="506" name="self.decoder.up_blocks.2.resnets.0.conv_shortcut.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>256</dim> <dim>512</dim> <dim>1</dim> <dim>1</dim> </port> <port id="1" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>256</dim> <dim>512</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="507" name="self.decoder.up_blocks.2.resnets.0.conv_shortcut.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="256, 1, 1, 1" offset="43817992" size="512" /> <output> <port id="0" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="508" name="self.decoder.up_blocks.2.resnets.0.conv_shortcut.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>256</dim> <dim>512</dim> <dim>1</dim> <dim>1</dim> </port> <port id="1" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>256</dim> <dim>512</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="509" name="self.decoder.up_blocks.2.resnets.0.conv_shortcut.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>256</dim> <dim>512</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>256</dim> <dim>512</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="510" 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="511" 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="43818504" 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="512" 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="513" name="__module.decoder.up_blocks.2.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="514" 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="515" 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="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="516" 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="517" 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="518" 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="519" name="Constant_231705" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="43819528" 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="520" 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="521" name="Constant_231706" type="Const" version="opset1"> <data element_type="f32" shape="1, 512, 1, 1" offset="43821576" 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="522" 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="523" 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="524" name="self.decoder.up_blocks.2.resnets.0.conv1.weight" type="Const" version="opset1"> <data element_type="u8" shape="256, 512, 3, 3" offset="43823624" size="1179648" /> <output> <port id="0" precision="U8"> <dim>256</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="525" name="Convert_245921" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>256</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>256</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="526" name="self.decoder.up_blocks.2.resnets.0.conv1.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="256, 1, 1, 1" offset="45003272" size="256" /> <output> <port id="0" precision="U8"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="527" name="Convert_245924" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="528" name="self.decoder.up_blocks.2.resnets.0.conv1.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>256</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>256</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="529" name="self.decoder.up_blocks.2.resnets.0.conv1.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="256, 1, 1, 1" offset="45003528" size="512" /> <output> <port id="0" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="530" name="self.decoder.up_blocks.2.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>256</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>256</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="531" name="self.decoder.up_blocks.2.resnets.0.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>256</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>256</dim> <dim>512</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="532" 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="533" 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="45004040" 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="534" 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="535" name="__module.decoder.up_blocks.2.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="536" 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="537" 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="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="538" 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="539" 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="540" 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="541" name="Constant_231707" type="Const" version="opset1"> <data element_type="f32" shape="1, 256, 1, 1" offset="45005064" 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="542" 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="543" name="Constant_231708" type="Const" version="opset1"> <data element_type="f32" shape="1, 256, 1, 1" offset="45006088" 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="544" 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="545" 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="546" name="self.decoder.up_blocks.2.resnets.0.conv2.weight" type="Const" version="opset1"> <data element_type="u8" shape="256, 256, 3, 3" offset="45007112" size="589824" /> <output> <port id="0" precision="U8"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="547" name="Convert_245932" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="548" name="self.decoder.up_blocks.2.resnets.0.conv2.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="256, 1, 1, 1" offset="45596936" size="256" /> <output> <port id="0" precision="U8"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="549" name="Convert_245935" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="550" name="self.decoder.up_blocks.2.resnets.0.conv2.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="551" name="self.decoder.up_blocks.2.resnets.0.conv2.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="256, 1, 1, 1" offset="45597192" size="512" /> <output> <port id="0" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="552" name="self.decoder.up_blocks.2.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="553" name="self.decoder.up_blocks.2.resnets.0.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="554" 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="555" 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="45597704" 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="556" 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="557" 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="558" name="__module.decoder.up_blocks.2.resnets.1.norm1/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="559" 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="560" 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="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="561" 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="562" 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="563" 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="564" name="Constant_231709" type="Const" version="opset1"> <data element_type="f32" shape="1, 256, 1, 1" offset="45598728" 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="565" 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="566" name="Constant_231710" type="Const" version="opset1"> <data element_type="f32" shape="1, 256, 1, 1" offset="45599752" 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="567" 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="568" 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="569" name="self.decoder.up_blocks.2.resnets.1.conv1.weight" type="Const" version="opset1"> <data element_type="u8" shape="256, 256, 3, 3" offset="45600776" size="589824" /> <output> <port id="0" precision="U8"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="570" name="Convert_245943" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="571" name="self.decoder.up_blocks.2.resnets.1.conv1.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="256, 1, 1, 1" offset="46190600" size="256" /> <output> <port id="0" precision="U8"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="572" name="Convert_245946" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="573" name="self.decoder.up_blocks.2.resnets.1.conv1.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="574" name="self.decoder.up_blocks.2.resnets.1.conv1.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="256, 1, 1, 1" offset="46190856" size="512" /> <output> <port id="0" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="575" name="self.decoder.up_blocks.2.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="576" name="self.decoder.up_blocks.2.resnets.1.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="577" 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="578" 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="46191368" 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="579" 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="580" name="__module.decoder.up_blocks.2.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="581" 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="582" 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="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="583" 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="584" 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="585" 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="586" name="Constant_231711" type="Const" version="opset1"> <data element_type="f32" shape="1, 256, 1, 1" offset="46192392" 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="587" 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="588" name="Constant_231712" type="Const" version="opset1"> <data element_type="f32" shape="1, 256, 1, 1" offset="46193416" 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="589" 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="590" 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="591" name="self.decoder.up_blocks.2.resnets.1.conv2.weight" type="Const" version="opset1"> <data element_type="u8" shape="256, 256, 3, 3" offset="46194440" size="589824" /> <output> <port id="0" precision="U8"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="592" name="Convert_245954" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="593" name="self.decoder.up_blocks.2.resnets.1.conv2.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="256, 1, 1, 1" offset="46784264" size="256" /> <output> <port id="0" precision="U8"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="594" name="Convert_245957" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="595" name="self.decoder.up_blocks.2.resnets.1.conv2.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="596" name="self.decoder.up_blocks.2.resnets.1.conv2.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="256, 1, 1, 1" offset="46784520" size="512" /> <output> <port id="0" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="597" name="self.decoder.up_blocks.2.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="598" name="self.decoder.up_blocks.2.resnets.1.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="599" 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="600" 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="46785032" 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="601" 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="602" 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="603" name="__module.decoder.up_blocks.2.resnets.2.norm1/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="604" 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="605" 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="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="606" 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="607" 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="608" 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="609" name="Constant_231713" type="Const" version="opset1"> <data element_type="f32" shape="1, 256, 1, 1" offset="46786056" 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="610" 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="611" name="Constant_231714" type="Const" version="opset1"> <data element_type="f32" shape="1, 256, 1, 1" offset="46787080" 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="612" 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="613" 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="614" name="self.decoder.up_blocks.2.resnets.2.conv1.weight" type="Const" version="opset1"> <data element_type="u8" shape="256, 256, 3, 3" offset="46788104" size="589824" /> <output> <port id="0" precision="U8"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="615" name="Convert_245965" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="616" name="self.decoder.up_blocks.2.resnets.2.conv1.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="256, 1, 1, 1" offset="47377928" size="256" /> <output> <port id="0" precision="U8"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="617" name="Convert_245968" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="618" name="self.decoder.up_blocks.2.resnets.2.conv1.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="619" name="self.decoder.up_blocks.2.resnets.2.conv1.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="256, 1, 1, 1" offset="47378184" size="512" /> <output> <port id="0" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="620" name="self.decoder.up_blocks.2.resnets.2.conv1.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="621" name="self.decoder.up_blocks.2.resnets.2.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="622" 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="623" 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="47378696" 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="624" 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="625" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="626" 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="627" 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="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="628" 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="629" 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="630" 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="631" name="Constant_231715" type="Const" version="opset1"> <data element_type="f32" shape="1, 256, 1, 1" offset="47379720" 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="632" 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="633" name="Constant_231716" type="Const" version="opset1"> <data element_type="f32" shape="1, 256, 1, 1" offset="47380744" 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="634" 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="635" 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="636" name="self.decoder.up_blocks.2.resnets.2.conv2.weight" type="Const" version="opset1"> <data element_type="u8" shape="256, 256, 3, 3" offset="47381768" size="589824" /> <output> <port id="0" precision="U8"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="637" name="Convert_245976" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="638" name="self.decoder.up_blocks.2.resnets.2.conv2.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="256, 1, 1, 1" offset="47971592" size="256" /> <output> <port id="0" precision="U8"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="639" name="Convert_245979" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="640" name="self.decoder.up_blocks.2.resnets.2.conv2.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="641" name="self.decoder.up_blocks.2.resnets.2.conv2.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="256, 1, 1, 1" offset="47971848" size="512" /> <output> <port id="0" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="642" name="self.decoder.up_blocks.2.resnets.2.conv2.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="643" name="self.decoder.up_blocks.2.resnets.2.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="644" 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="645" 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="47972360" 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="646" 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="647" 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="648" name="__module.decoder.up_blocks.2.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1"> <data element_type="f32" shape="2" offset="24759032" size="8" /> <output> <port id="0" precision="FP32"> <dim>2</dim> </port> </output> </layer> <layer id="649" name="Constant_221736" type="Const" version="opset1"> <data element_type="i32" shape="2" offset="24759040" size="8" /> <output> <port id="0" precision="I32"> <dim>2</dim> </port> </output> </layer> <layer id="650" 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="651" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight" type="Const" version="opset1"> <data element_type="u8" shape="256, 256, 3, 3" offset="47973384" size="589824" /> <output> <port id="0" precision="U8"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="652" name="Convert_245987" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="653" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="256, 1, 1, 1" offset="48563208" size="256" /> <output> <port id="0" precision="U8"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="654" name="Convert_245990" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="655" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="656" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="256, 1, 1, 1" offset="48563464" size="512" /> <output> <port id="0" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="657" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>256</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="658" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>256</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="659" 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="660" 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="48563976" 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="661" 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="662" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight" type="Const" version="opset1"> <data element_type="u8" shape="128, 256, 1, 1" offset="48565000" size="32768" /> <output> <port id="0" precision="U8"> <dim>128</dim> <dim>256</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="663" name="Convert_246119" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>128</dim> <dim>256</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>128</dim> <dim>256</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="664" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="128, 1, 1, 1" offset="48597768" size="128" /> <output> <port id="0" precision="U8"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="665" name="Convert_246122" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="666" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>128</dim> <dim>256</dim> <dim>1</dim> <dim>1</dim> </port> <port id="1" precision="FP16"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>128</dim> <dim>256</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="667" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="128, 1, 1, 1" offset="48597896" size="256" /> <output> <port id="0" precision="FP16"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="668" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>128</dim> <dim>256</dim> <dim>1</dim> <dim>1</dim> </port> <port id="1" precision="FP16"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>128</dim> <dim>256</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="669" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>128</dim> <dim>256</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>128</dim> <dim>256</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="670" 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="671" 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="48598152" 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="672" 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="673" name="__module.decoder.up_blocks.3.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="674" 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="675" 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="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="676" 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="677" 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="678" 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="679" name="Constant_231717" type="Const" version="opset1"> <data element_type="f32" shape="1, 256, 1, 1" offset="48598664" 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="680" 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="681" name="Constant_231718" type="Const" version="opset1"> <data element_type="f32" shape="1, 256, 1, 1" offset="48599688" 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="682" 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="683" 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="684" name="self.decoder.up_blocks.3.resnets.0.conv1.weight" type="Const" version="opset1"> <data element_type="u8" shape="128, 256, 3, 3" offset="48600712" size="294912" /> <output> <port id="0" precision="U8"> <dim>128</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="685" name="Convert_245998" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>128</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>128</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="686" name="self.decoder.up_blocks.3.resnets.0.conv1.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="128, 1, 1, 1" offset="48895624" size="128" /> <output> <port id="0" precision="U8"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="687" name="Convert_246001" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="688" name="self.decoder.up_blocks.3.resnets.0.conv1.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>128</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>128</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="689" name="self.decoder.up_blocks.3.resnets.0.conv1.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="128, 1, 1, 1" offset="48895752" size="256" /> <output> <port id="0" precision="FP16"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="690" name="self.decoder.up_blocks.3.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>128</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>128</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="691" name="self.decoder.up_blocks.3.resnets.0.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>128</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>128</dim> <dim>256</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="692" 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="693" 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="48896008" 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="694" 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="695" name="__module.decoder.up_blocks.3.resnets.0.norm2/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="696" 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="697" 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="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="698" 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="699" 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="700" 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="701" name="Constant_231719" type="Const" version="opset1"> <data element_type="f32" shape="1, 128, 1, 1" offset="48896520" 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="702" 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="703" name="Constant_231720" type="Const" version="opset1"> <data element_type="f32" shape="1, 128, 1, 1" offset="48897032" 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="704" 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="705" 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="706" name="self.decoder.up_blocks.3.resnets.0.conv2.weight" type="Const" version="opset1"> <data element_type="u8" shape="128, 128, 3, 3" offset="48897544" size="147456" /> <output> <port id="0" precision="U8"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="707" name="Convert_246053" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="708" name="self.decoder.up_blocks.3.resnets.0.conv2.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="128, 1, 1, 1" offset="49045000" size="128" /> <output> <port id="0" precision="U8"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="709" name="Convert_246056" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="710" name="self.decoder.up_blocks.3.resnets.0.conv2.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="711" name="self.decoder.up_blocks.3.resnets.0.conv2.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="128, 1, 1, 1" offset="49045128" size="256" /> <output> <port id="0" precision="FP16"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="712" name="self.decoder.up_blocks.3.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="713" name="self.decoder.up_blocks.3.resnets.0.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="714" 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="715" 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="49045384" 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="716" 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="717" 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="718" name="__module.decoder.up_blocks.3.resnets.1.norm1/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="719" 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="720" 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="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="721" 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="722" 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="723" 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="724" name="Constant_231721" type="Const" version="opset1"> <data element_type="f32" shape="1, 128, 1, 1" offset="49045896" 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="725" 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="726" name="Constant_231722" type="Const" version="opset1"> <data element_type="f32" shape="1, 128, 1, 1" offset="49046408" 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="727" 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="728" 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="729" name="self.decoder.up_blocks.3.resnets.1.conv1.weight" type="Const" version="opset1"> <data element_type="u8" shape="128, 128, 3, 3" offset="49046920" size="147456" /> <output> <port id="0" precision="U8"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="730" name="Convert_246064" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="731" name="self.decoder.up_blocks.3.resnets.1.conv1.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="128, 1, 1, 1" offset="49194376" size="128" /> <output> <port id="0" precision="U8"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="732" name="Convert_246067" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="733" name="self.decoder.up_blocks.3.resnets.1.conv1.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="734" name="self.decoder.up_blocks.3.resnets.1.conv1.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="128, 1, 1, 1" offset="49194504" size="256" /> <output> <port id="0" precision="FP16"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="735" name="self.decoder.up_blocks.3.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="736" name="self.decoder.up_blocks.3.resnets.1.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="737" 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="738" 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="49194760" 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="739" 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="740" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="741" 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="742" 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="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="743" 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="744" 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="745" 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="746" name="Constant_231723" type="Const" version="opset1"> <data element_type="f32" shape="1, 128, 1, 1" offset="49195272" 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="747" 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="748" name="Constant_231724" type="Const" version="opset1"> <data element_type="f32" shape="1, 128, 1, 1" offset="49195784" 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="749" 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="750" 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="751" name="self.decoder.up_blocks.3.resnets.1.conv2.weight" type="Const" version="opset1"> <data element_type="u8" shape="128, 128, 3, 3" offset="49196296" size="147456" /> <output> <port id="0" precision="U8"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="752" name="Convert_246075" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="753" name="self.decoder.up_blocks.3.resnets.1.conv2.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="128, 1, 1, 1" offset="49343752" size="128" /> <output> <port id="0" precision="U8"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="754" name="Convert_246078" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="755" name="self.decoder.up_blocks.3.resnets.1.conv2.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="756" name="self.decoder.up_blocks.3.resnets.1.conv2.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="128, 1, 1, 1" offset="49343880" size="256" /> <output> <port id="0" precision="FP16"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="757" name="self.decoder.up_blocks.3.resnets.1.conv2.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="758" name="self.decoder.up_blocks.3.resnets.1.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="759" 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="760" 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="49344136" 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="761" 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="762" 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="763" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="764" 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="765" 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="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="766" 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="767" 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="768" 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="769" name="Constant_231725" type="Const" version="opset1"> <data element_type="f32" shape="1, 128, 1, 1" offset="49344648" 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="770" 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="771" name="Constant_231726" type="Const" version="opset1"> <data element_type="f32" shape="1, 128, 1, 1" offset="49345160" 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="772" 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="773" 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="774" name="self.decoder.up_blocks.3.resnets.2.conv1.weight" type="Const" version="opset1"> <data element_type="u8" shape="128, 128, 3, 3" offset="49345672" size="147456" /> <output> <port id="0" precision="U8"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="775" name="Convert_246086" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="776" name="self.decoder.up_blocks.3.resnets.2.conv1.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="128, 1, 1, 1" offset="49493128" size="128" /> <output> <port id="0" precision="U8"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="777" name="Convert_246089" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="778" name="self.decoder.up_blocks.3.resnets.2.conv1.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="779" name="self.decoder.up_blocks.3.resnets.2.conv1.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="128, 1, 1, 1" offset="49493256" size="256" /> <output> <port id="0" precision="FP16"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="780" name="self.decoder.up_blocks.3.resnets.2.conv1.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="781" name="self.decoder.up_blocks.3.resnets.2.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="782" 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="783" 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="49493512" 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="784" 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="785" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="786" 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="787" 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="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="788" 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="789" 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="790" 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="791" name="Constant_231727" type="Const" version="opset1"> <data element_type="f32" shape="1, 128, 1, 1" offset="49494024" 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="792" 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="793" name="Constant_231728" type="Const" version="opset1"> <data element_type="f32" shape="1, 128, 1, 1" offset="49494536" 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="794" 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="795" 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="796" name="self.decoder.up_blocks.3.resnets.2.conv2.weight" type="Const" version="opset1"> <data element_type="u8" shape="128, 128, 3, 3" offset="49495048" size="147456" /> <output> <port id="0" precision="U8"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="797" name="Convert_246097" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="798" name="self.decoder.up_blocks.3.resnets.2.conv2.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="128, 1, 1, 1" offset="49642504" size="128" /> <output> <port id="0" precision="U8"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="799" name="Convert_246100" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="800" name="self.decoder.up_blocks.3.resnets.2.conv2.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="801" name="self.decoder.up_blocks.3.resnets.2.conv2.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="128, 1, 1, 1" offset="49642632" size="256" /> <output> <port id="0" precision="FP16"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="802" name="self.decoder.up_blocks.3.resnets.2.conv2.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>128</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="803" name="self.decoder.up_blocks.3.resnets.2.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>128</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="804" 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="805" 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="49642888" 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="806" 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="807" 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="808" name="__module.decoder.conv_norm_out/aten::group_norm/Constant" type="Const" version="opset1"> <data element_type="i32" shape="3" offset="22060" size="12" /> <output> <port id="0" precision="I32"> <dim>3</dim> </port> </output> </layer> <layer id="809" 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="810" name="__module.decoder.conv_norm_out/aten::group_norm/Constant_1" type="Const" version="opset1"> <data element_type="i32" shape="1" offset="22072" size="4" /> <output> <port id="0" precision="I32"> <dim>1</dim> </port> </output> </layer> <layer id="811" 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="812" 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="813" 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="814" name="Constant_231729" type="Const" version="opset1"> <data element_type="f32" shape="1, 128, 1, 1" offset="49643400" 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="815" 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="816" name="Constant_231730" type="Const" version="opset1"> <data element_type="f32" shape="1, 128, 1, 1" offset="49643912" 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="817" 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="818" 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="819" name="self.decoder.conv_out.weight" type="Const" version="opset1"> <data element_type="u8" shape="3, 128, 3, 3" offset="49644424" size="3456" /> <output> <port id="0" precision="U8"> <dim>3</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="820" name="Convert_246141" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>3</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>3</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="821" name="self.decoder.conv_out.weight/zero_point" type="Const" version="opset1"> <data element_type="u8" shape="3, 1, 1, 1" offset="49647880" size="3" /> <output> <port id="0" precision="U8"> <dim>3</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="822" name="Convert_246144" type="Convert" version="opset1"> <data destination_type="f16" /> <input> <port id="0" precision="U8"> <dim>3</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="1" precision="FP16"> <dim>3</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="823" name="self.decoder.conv_out.weight/zero_point/subtract" type="Subtract" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>3</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>3</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>3</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="824" name="self.decoder.conv_out.weight/scale" type="Const" version="opset1"> <data element_type="f16" shape="3, 1, 1, 1" offset="49647883" size="6" /> <output> <port id="0" precision="FP16"> <dim>3</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </output> </layer> <layer id="825" name="self.decoder.conv_out.weight/fq_weights_1" type="Multiply" version="opset1"> <data auto_broadcast="numpy" /> <input> <port id="0" precision="FP16"> <dim>3</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> <port id="1" precision="FP16"> <dim>3</dim> <dim>1</dim> <dim>1</dim> <dim>1</dim> </port> </input> <output> <port id="2" precision="FP16"> <dim>3</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="826" name="self.decoder.conv_out.weight/fq_weights_1/convert" type="Convert" version="opset1"> <data destination_type="f32" /> <input> <port id="0" precision="FP16"> <dim>3</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </input> <output> <port id="1" precision="FP32"> <dim>3</dim> <dim>128</dim> <dim>3</dim> <dim>3</dim> </port> </output> </layer> <layer id="827" 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="828" name="__module.decoder.conv_out/aten::_convolution/Reshape" type="Const" version="opset1"> <data element_type="f32" shape="1, 3, 1, 1" offset="49647889" 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="829" 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="830" name="Result_226629" 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="9" to-port="0" /> <edge from-layer="1" from-port="0" to-layer="2" to-port="0" /> <edge from-layer="2" from-port="1" to-layer="5" to-port="0" /> <edge from-layer="3" from-port="0" to-layer="4" to-port="0" /> <edge from-layer="4" from-port="1" to-layer="5" to-port="1" /> <edge from-layer="5" from-port="2" to-layer="7" to-port="0" /> <edge from-layer="6" from-port="0" to-layer="7" to-port="1" /> <edge from-layer="7" from-port="2" to-layer="8" to-port="0" /> <edge from-layer="8" from-port="1" to-layer="9" to-port="1" /> <edge from-layer="9" from-port="2" to-layer="11" to-port="0" /> <edge from-layer="10" from-port="0" to-layer="11" to-port="1" /> <edge from-layer="11" from-port="2" to-layer="20" to-port="0" /> <edge from-layer="12" from-port="0" to-layer="13" to-port="0" /> <edge from-layer="13" from-port="1" to-layer="16" to-port="0" /> <edge from-layer="14" from-port="0" to-layer="15" to-port="0" /> <edge from-layer="15" from-port="1" 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="20" to-port="1" /> <edge from-layer="20" from-port="2" to-layer="22" to-port="0" /> <edge from-layer="21" from-port="0" to-layer="22" to-port="1" /> <edge from-layer="22" from-port="2" to-layer="24" to-port="0" /> <edge from-layer="22" from-port="2" to-layer="27" to-port="0" /> <edge from-layer="22" from-port="2" to-layer="67" to-port="0" /> <edge from-layer="22" from-port="2" to-layer="147" to-port="0" /> <edge from-layer="23" from-port="0" to-layer="24" to-port="1" /> <edge from-layer="24" from-port="2" to-layer="26" to-port="0" /> <edge from-layer="25" from-port="0" to-layer="26" to-port="1" /> <edge from-layer="26" from-port="2" to-layer="28" to-port="0" /> <edge from-layer="27" from-port="1" to-layer="28" to-port="1" /> <edge from-layer="28" from-port="2" to-layer="30" to-port="0" /> <edge from-layer="29" from-port="0" to-layer="30" to-port="1" /> <edge from-layer="30" from-port="2" to-layer="32" to-port="0" /> <edge from-layer="31" from-port="0" to-layer="32" to-port="1" /> <edge from-layer="32" from-port="2" to-layer="33" to-port="0" /> <edge from-layer="33" from-port="1" to-layer="42" to-port="0" /> <edge from-layer="34" from-port="0" to-layer="35" to-port="0" /> <edge from-layer="35" from-port="1" to-layer="38" to-port="0" /> <edge from-layer="36" from-port="0" to-layer="37" to-port="0" /> <edge from-layer="37" from-port="1" to-layer="38" to-port="1" /> <edge from-layer="38" from-port="2" to-layer="40" to-port="0" /> <edge from-layer="39" from-port="0" to-layer="40" to-port="1" /> <edge from-layer="40" from-port="2" to-layer="41" to-port="0" /> <edge from-layer="41" from-port="1" to-layer="42" to-port="1" /> <edge from-layer="42" from-port="2" to-layer="44" to-port="0" /> <edge from-layer="43" from-port="0" to-layer="44" to-port="1" /> <edge from-layer="44" from-port="2" to-layer="46" to-port="0" /> <edge from-layer="44" from-port="2" to-layer="49" to-port="0" /> <edge from-layer="45" from-port="0" to-layer="46" to-port="1" /> <edge from-layer="46" from-port="2" to-layer="48" to-port="0" /> <edge from-layer="47" from-port="0" to-layer="48" to-port="1" /> <edge from-layer="48" from-port="2" to-layer="50" to-port="0" /> <edge from-layer="49" from-port="1" to-layer="50" to-port="1" /> <edge from-layer="50" from-port="2" to-layer="52" to-port="0" /> <edge from-layer="51" from-port="0" to-layer="52" to-port="1" /> <edge from-layer="52" from-port="2" to-layer="54" to-port="0" /> <edge from-layer="53" from-port="0" to-layer="54" to-port="1" /> <edge from-layer="54" from-port="2" to-layer="55" to-port="0" /> <edge from-layer="55" from-port="1" to-layer="64" to-port="0" /> <edge from-layer="56" from-port="0" to-layer="57" to-port="0" /> <edge from-layer="57" from-port="1" to-layer="60" to-port="0" /> <edge from-layer="58" from-port="0" to-layer="59" to-port="0" /> <edge from-layer="59" from-port="1" to-layer="60" to-port="1" /> <edge from-layer="60" from-port="2" to-layer="62" to-port="0" /> <edge from-layer="61" from-port="0" to-layer="62" to-port="1" /> <edge from-layer="62" from-port="2" to-layer="63" to-port="0" /> <edge from-layer="63" from-port="1" to-layer="64" to-port="1" /> <edge from-layer="64" from-port="2" to-layer="66" to-port="0" /> <edge from-layer="65" from-port="0" to-layer="66" to-port="1" /> <edge from-layer="66" from-port="2" to-layer="67" to-port="1" /> <edge from-layer="67" from-port="2" to-layer="69" to-port="0" /> <edge from-layer="67" from-port="2" to-layer="158" to-port="1" /> <edge from-layer="67" from-port="2" to-layer="152" 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="73" to-port="0" /> <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="81" to-port="0" /> <edge from-layer="80" from-port="0" to-layer="81" to-port="1" /> <edge from-layer="81" from-port="2" to-layer="83" to-port="0" /> <edge from-layer="82" from-port="0" to-layer="83" to-port="1" /> <edge from-layer="83" from-port="2" to-layer="122" to-port="0" /> <edge from-layer="83" from-port="2" to-layer="107" to-port="0" /> <edge from-layer="83" from-port="2" to-layer="92" to-port="0" /> <edge from-layer="84" from-port="0" to-layer="85" to-port="0" /> <edge from-layer="85" from-port="1" to-layer="88" to-port="0" /> <edge from-layer="86" from-port="0" to-layer="87" to-port="0" /> <edge from-layer="87" from-port="1" 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="91" to-port="0" /> <edge from-layer="91" from-port="1" to-layer="92" to-port="1" /> <edge from-layer="92" from-port="2" to-layer="94" to-port="0" /> <edge from-layer="93" from-port="0" to-layer="94" to-port="1" /> <edge from-layer="94" from-port="2" to-layer="96" to-port="0" /> <edge from-layer="95" from-port="0" to-layer="96" to-port="1" /> <edge from-layer="96" from-port="2" to-layer="98" to-port="0" /> <edge from-layer="97" from-port="0" to-layer="98" to-port="1" /> <edge from-layer="98" from-port="2" to-layer="129" to-port="0" /> <edge from-layer="99" from-port="0" to-layer="100" to-port="0" /> <edge from-layer="100" from-port="1" to-layer="103" to-port="0" /> <edge from-layer="101" from-port="0" to-layer="102" to-port="0" /> <edge from-layer="102" from-port="1" to-layer="103" to-port="1" /> <edge from-layer="103" from-port="2" to-layer="105" to-port="0" /> <edge from-layer="104" from-port="0" to-layer="105" to-port="1" /> <edge from-layer="105" from-port="2" to-layer="106" to-port="0" /> <edge from-layer="106" from-port="1" to-layer="107" to-port="1" /> <edge from-layer="107" from-port="2" to-layer="109" to-port="0" /> <edge from-layer="108" from-port="0" to-layer="109" to-port="1" /> <edge from-layer="109" from-port="2" to-layer="111" to-port="0" /> <edge from-layer="110" from-port="0" to-layer="111" to-port="1" /> <edge from-layer="111" from-port="2" to-layer="113" to-port="0" /> <edge from-layer="112" from-port="0" to-layer="113" to-port="1" /> <edge from-layer="113" from-port="2" to-layer="129" to-port="1" /> <edge from-layer="114" from-port="0" to-layer="115" to-port="0" /> <edge from-layer="115" from-port="1" to-layer="118" to-port="0" /> <edge from-layer="116" from-port="0" to-layer="117" to-port="0" /> <edge from-layer="117" from-port="1" to-layer="118" to-port="1" /> <edge from-layer="118" from-port="2" to-layer="120" to-port="0" /> <edge from-layer="119" from-port="0" to-layer="120" to-port="1" /> <edge from-layer="120" from-port="2" to-layer="121" to-port="0" /> <edge from-layer="121" from-port="1" to-layer="122" to-port="1" /> <edge from-layer="122" from-port="2" to-layer="124" to-port="0" /> <edge from-layer="123" from-port="0" to-layer="124" to-port="1" /> <edge from-layer="124" from-port="2" to-layer="126" to-port="0" /> <edge from-layer="125" from-port="0" to-layer="126" to-port="1" /> <edge from-layer="126" from-port="2" to-layer="128" to-port="0" /> <edge from-layer="127" from-port="0" to-layer="128" to-port="1" /> <edge from-layer="128" from-port="2" to-layer="129" to-port="2" /> <edge from-layer="129" from-port="3" to-layer="131" to-port="0" /> <edge from-layer="130" from-port="0" to-layer="131" to-port="1" /> <edge from-layer="131" from-port="2" to-layer="133" to-port="0" /> <edge from-layer="132" from-port="0" to-layer="133" to-port="1" /> <edge from-layer="133" from-port="2" to-layer="142" to-port="0" /> <edge from-layer="134" from-port="0" to-layer="135" to-port="0" /> <edge from-layer="135" from-port="1" to-layer="138" to-port="0" /> <edge from-layer="136" from-port="0" to-layer="137" to-port="0" /> <edge from-layer="137" from-port="1" to-layer="138" to-port="1" /> <edge from-layer="138" from-port="2" to-layer="140" to-port="0" /> <edge from-layer="139" from-port="0" to-layer="140" to-port="1" /> <edge from-layer="140" from-port="2" to-layer="141" to-port="0" /> <edge from-layer="141" from-port="1" to-layer="142" to-port="1" /> <edge from-layer="142" from-port="2" to-layer="144" to-port="0" /> <edge from-layer="143" from-port="0" to-layer="144" to-port="1" /> <edge from-layer="144" from-port="2" to-layer="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="157" to-port="0" /> <edge from-layer="147" from-port="1" to-layer="150" to-port="0" /> <edge from-layer="148" from-port="0" to-layer="150" to-port="1" /> <edge from-layer="149" from-port="0" to-layer="150" to-port="2" /> <edge from-layer="150" from-port="3" to-layer="156" to-port="0" /> <edge from-layer="151" from-port="0" to-layer="156" to-port="1" /> <edge from-layer="152" from-port="1" to-layer="155" to-port="0" /> <edge from-layer="153" from-port="0" to-layer="155" to-port="1" /> <edge from-layer="154" from-port="0" to-layer="155" to-port="2" /> <edge from-layer="155" from-port="3" to-layer="156" to-port="2" /> <edge from-layer="156" from-port="3" to-layer="157" to-port="1" /> <edge from-layer="157" from-port="2" to-layer="158" to-port="0" /> <edge from-layer="158" from-port="2" to-layer="160" to-port="0" /> <edge from-layer="158" from-port="2" to-layer="163" to-port="0" /> <edge from-layer="158" from-port="2" to-layer="203" to-port="0" /> <edge from-layer="159" from-port="0" to-layer="160" to-port="1" /> <edge from-layer="160" from-port="2" to-layer="162" to-port="0" /> <edge from-layer="161" from-port="0" to-layer="162" to-port="1" /> <edge from-layer="162" from-port="2" to-layer="164" to-port="0" /> <edge from-layer="163" from-port="1" to-layer="164" to-port="1" /> <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="169" to-port="0" /> <edge from-layer="169" from-port="1" to-layer="178" to-port="0" /> <edge from-layer="170" from-port="0" to-layer="171" to-port="0" /> <edge from-layer="171" from-port="1" to-layer="174" to-port="0" /> <edge from-layer="172" from-port="0" to-layer="173" to-port="0" /> <edge from-layer="173" from-port="1" to-layer="174" to-port="1" /> <edge from-layer="174" from-port="2" to-layer="176" to-port="0" /> <edge from-layer="175" from-port="0" to-layer="176" to-port="1" /> <edge from-layer="176" from-port="2" to-layer="177" to-port="0" /> <edge from-layer="177" from-port="1" to-layer="178" to-port="1" /> <edge from-layer="178" from-port="2" to-layer="180" to-port="0" /> <edge from-layer="179" from-port="0" to-layer="180" to-port="1" /> <edge from-layer="180" from-port="2" to-layer="182" to-port="0" /> <edge from-layer="180" from-port="2" to-layer="185" to-port="0" /> <edge from-layer="181" from-port="0" to-layer="182" to-port="1" /> <edge from-layer="182" from-port="2" to-layer="184" to-port="0" /> <edge from-layer="183" from-port="0" to-layer="184" to-port="1" /> <edge from-layer="184" from-port="2" to-layer="186" to-port="0" /> <edge from-layer="185" from-port="1" to-layer="186" to-port="1" /> <edge from-layer="186" from-port="2" to-layer="188" to-port="0" /> <edge from-layer="187" from-port="0" to-layer="188" to-port="1" /> <edge from-layer="188" from-port="2" to-layer="190" to-port="0" /> <edge from-layer="189" from-port="0" to-layer="190" to-port="1" /> <edge from-layer="190" from-port="2" to-layer="191" to-port="0" /> <edge from-layer="191" from-port="1" to-layer="200" to-port="0" /> <edge from-layer="192" from-port="0" to-layer="193" to-port="0" /> <edge from-layer="193" from-port="1" to-layer="196" to-port="0" /> <edge from-layer="194" from-port="0" to-layer="195" to-port="0" /> <edge from-layer="195" from-port="1" to-layer="196" to-port="1" /> <edge from-layer="196" from-port="2" to-layer="198" to-port="0" /> <edge from-layer="197" from-port="0" to-layer="198" to-port="1" /> <edge from-layer="198" from-port="2" to-layer="199" to-port="0" /> <edge from-layer="199" from-port="1" to-layer="200" to-port="1" /> <edge from-layer="200" from-port="2" to-layer="202" to-port="0" /> <edge from-layer="201" from-port="0" to-layer="202" to-port="1" /> <edge from-layer="202" from-port="2" to-layer="203" to-port="1" /> <edge from-layer="203" from-port="2" to-layer="205" to-port="0" /> <edge from-layer="203" from-port="2" to-layer="208" to-port="0" /> <edge from-layer="203" from-port="2" to-layer="248" 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="207" to-port="0" /> <edge from-layer="206" from-port="0" to-layer="207" to-port="1" /> <edge from-layer="207" from-port="2" to-layer="209" to-port="0" /> <edge from-layer="208" from-port="1" to-layer="209" to-port="1" /> <edge from-layer="209" from-port="2" to-layer="211" to-port="0" /> <edge from-layer="210" from-port="0" to-layer="211" to-port="1" /> <edge from-layer="211" from-port="2" to-layer="213" to-port="0" /> <edge from-layer="212" from-port="0" to-layer="213" to-port="1" /> <edge from-layer="213" from-port="2" to-layer="214" to-port="0" /> <edge from-layer="214" from-port="1" to-layer="223" to-port="0" /> <edge from-layer="215" from-port="0" to-layer="216" to-port="0" /> <edge from-layer="216" from-port="1" to-layer="219" to-port="0" /> <edge from-layer="217" from-port="0" to-layer="218" to-port="0" /> <edge from-layer="218" from-port="1" to-layer="219" to-port="1" /> <edge from-layer="219" from-port="2" to-layer="221" to-port="0" /> <edge from-layer="220" from-port="0" to-layer="221" to-port="1" /> <edge from-layer="221" from-port="2" to-layer="222" to-port="0" /> <edge from-layer="222" from-port="1" to-layer="223" to-port="1" /> <edge from-layer="223" from-port="2" to-layer="225" to-port="0" /> <edge from-layer="224" from-port="0" to-layer="225" to-port="1" /> <edge from-layer="225" from-port="2" to-layer="227" to-port="0" /> <edge from-layer="225" from-port="2" to-layer="230" to-port="0" /> <edge from-layer="226" from-port="0" to-layer="227" to-port="1" /> <edge from-layer="227" from-port="2" to-layer="229" to-port="0" /> <edge from-layer="228" from-port="0" to-layer="229" to-port="1" /> <edge from-layer="229" from-port="2" to-layer="231" to-port="0" /> <edge from-layer="230" from-port="1" to-layer="231" to-port="1" /> <edge from-layer="231" from-port="2" to-layer="233" to-port="0" /> <edge from-layer="232" from-port="0" to-layer="233" to-port="1" /> <edge from-layer="233" from-port="2" to-layer="235" to-port="0" /> <edge from-layer="234" from-port="0" to-layer="235" to-port="1" /> <edge from-layer="235" from-port="2" to-layer="236" to-port="0" /> <edge from-layer="236" from-port="1" to-layer="245" to-port="0" /> <edge from-layer="237" from-port="0" to-layer="238" to-port="0" /> <edge from-layer="238" from-port="1" to-layer="241" to-port="0" /> <edge from-layer="239" from-port="0" to-layer="240" to-port="0" /> <edge from-layer="240" from-port="1" 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="245" to-port="1" /> <edge from-layer="245" from-port="2" to-layer="247" to-port="0" /> <edge from-layer="246" from-port="0" to-layer="247" to-port="1" /> <edge from-layer="247" from-port="2" to-layer="248" to-port="1" /> <edge from-layer="248" from-port="2" to-layer="253" to-port="0" /> <edge from-layer="248" from-port="2" to-layer="293" to-port="0" /> <edge from-layer="248" from-port="2" to-layer="250" 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="268" to-port="0" /> <edge from-layer="260" from-port="0" to-layer="261" to-port="0" /> <edge from-layer="261" from-port="1" to-layer="264" to-port="0" /> <edge from-layer="262" from-port="0" to-layer="263" to-port="0" /> <edge from-layer="263" from-port="1" to-layer="264" to-port="1" /> <edge from-layer="264" from-port="2" to-layer="266" to-port="0" /> <edge from-layer="265" from-port="0" to-layer="266" to-port="1" /> <edge from-layer="266" from-port="2" to-layer="267" to-port="0" /> <edge from-layer="267" from-port="1" to-layer="268" to-port="1" /> <edge from-layer="268" from-port="2" to-layer="270" to-port="0" /> <edge from-layer="269" from-port="0" to-layer="270" to-port="1" /> <edge from-layer="270" from-port="2" to-layer="272" to-port="0" /> <edge from-layer="270" from-port="2" to-layer="275" 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="276" to-port="0" /> <edge from-layer="275" from-port="1" to-layer="276" to-port="1" /> <edge from-layer="276" from-port="2" to-layer="278" to-port="0" /> <edge from-layer="277" from-port="0" to-layer="278" to-port="1" /> <edge from-layer="278" from-port="2" to-layer="280" to-port="0" /> <edge from-layer="279" from-port="0" to-layer="280" to-port="1" /> <edge from-layer="280" from-port="2" to-layer="281" to-port="0" /> <edge from-layer="281" from-port="1" to-layer="290" to-port="0" /> <edge from-layer="282" from-port="0" to-layer="283" to-port="0" /> <edge from-layer="283" from-port="1" to-layer="286" to-port="0" /> <edge from-layer="284" from-port="0" to-layer="285" to-port="0" /> <edge from-layer="285" from-port="1" to-layer="286" to-port="1" /> <edge from-layer="286" from-port="2" to-layer="288" to-port="0" /> <edge from-layer="287" from-port="0" to-layer="288" to-port="1" /> <edge from-layer="288" from-port="2" to-layer="289" to-port="0" /> <edge from-layer="289" from-port="1" to-layer="290" to-port="1" /> <edge from-layer="290" from-port="2" 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="293" to-port="1" /> <edge from-layer="293" from-port="2" to-layer="298" to-port="0" /> <edge from-layer="293" from-port="2" to-layer="338" to-port="0" /> <edge from-layer="293" from-port="2" to-layer="295" to-port="0" /> <edge from-layer="294" from-port="0" to-layer="295" to-port="1" /> <edge from-layer="295" from-port="2" to-layer="297" to-port="0" /> <edge from-layer="296" from-port="0" to-layer="297" to-port="1" /> <edge from-layer="297" from-port="2" to-layer="299" to-port="0" /> <edge from-layer="298" from-port="1" 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="0" 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="304" to-port="0" /> <edge from-layer="304" from-port="1" to-layer="313" to-port="0" /> <edge from-layer="305" from-port="0" to-layer="306" to-port="0" /> <edge from-layer="306" from-port="1" to-layer="309" to-port="0" /> <edge from-layer="307" from-port="0" to-layer="308" to-port="0" /> <edge from-layer="308" from-port="1" to-layer="309" to-port="1" /> <edge from-layer="309" from-port="2" to-layer="311" to-port="0" /> <edge from-layer="310" from-port="0" to-layer="311" to-port="1" /> <edge from-layer="311" from-port="2" to-layer="312" to-port="0" /> <edge from-layer="312" from-port="1" to-layer="313" to-port="1" /> <edge from-layer="313" from-port="2" to-layer="315" to-port="0" /> <edge from-layer="314" from-port="0" to-layer="315" to-port="1" /> <edge from-layer="315" from-port="2" to-layer="320" to-port="0" /> <edge from-layer="315" from-port="2" to-layer="317" to-port="0" /> <edge from-layer="316" from-port="0" to-layer="317" to-port="1" /> <edge from-layer="317" from-port="2" to-layer="319" to-port="0" /> <edge from-layer="318" from-port="0" to-layer="319" to-port="1" /> <edge from-layer="319" from-port="2" to-layer="321" to-port="0" /> <edge from-layer="320" from-port="1" to-layer="321" to-port="1" /> <edge from-layer="321" from-port="2" to-layer="323" to-port="0" /> <edge from-layer="322" from-port="0" to-layer="323" to-port="1" /> <edge from-layer="323" from-port="2" to-layer="325" to-port="0" /> <edge from-layer="324" from-port="0" to-layer="325" to-port="1" /> <edge from-layer="325" from-port="2" to-layer="326" to-port="0" /> <edge from-layer="326" from-port="1" to-layer="335" to-port="0" /> <edge from-layer="327" from-port="0" to-layer="328" to-port="0" /> <edge from-layer="328" from-port="1" to-layer="331" to-port="0" /> <edge from-layer="329" from-port="0" to-layer="330" to-port="0" /> <edge from-layer="330" from-port="1" 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="334" to-port="0" /> <edge from-layer="334" from-port="1" 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="338" to-port="1" /> <edge from-layer="338" from-port="2" to-layer="341" to-port="0" /> <edge from-layer="339" from-port="0" to-layer="341" to-port="1" /> <edge from-layer="340" from-port="0" to-layer="341" to-port="2" /> <edge from-layer="341" from-port="3" to-layer="350" to-port="0" /> <edge from-layer="342" from-port="0" to-layer="343" to-port="0" /> <edge from-layer="343" from-port="1" to-layer="346" to-port="0" /> <edge from-layer="344" from-port="0" to-layer="345" to-port="0" /> <edge from-layer="345" from-port="1" to-layer="346" to-port="1" /> <edge from-layer="346" from-port="2" to-layer="348" to-port="0" /> <edge from-layer="347" from-port="0" to-layer="348" to-port="1" /> <edge from-layer="348" from-port="2" to-layer="349" to-port="0" /> <edge from-layer="349" from-port="1" 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="352" from-port="2" to-layer="397" 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="372" to-port="0" /> <edge from-layer="364" from-port="0" to-layer="365" to-port="0" /> <edge from-layer="365" from-port="1" to-layer="368" to-port="0" /> <edge from-layer="366" from-port="0" to-layer="367" to-port="0" /> <edge from-layer="367" from-port="1" to-layer="368" to-port="1" /> <edge from-layer="368" from-port="2" to-layer="370" to-port="0" /> <edge from-layer="369" from-port="0" to-layer="370" to-port="1" /> <edge from-layer="370" from-port="2" to-layer="371" to-port="0" /> <edge from-layer="371" from-port="1" to-layer="372" to-port="1" /> <edge from-layer="372" from-port="2" to-layer="374" to-port="0" /> <edge from-layer="373" from-port="0" to-layer="374" to-port="1" /> <edge from-layer="374" from-port="2" to-layer="376" to-port="0" /> <edge from-layer="374" from-port="2" to-layer="379" 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="380" to-port="0" /> <edge from-layer="379" from-port="1" to-layer="380" to-port="1" /> <edge from-layer="380" from-port="2" to-layer="382" to-port="0" /> <edge from-layer="381" from-port="0" to-layer="382" to-port="1" /> <edge from-layer="382" from-port="2" to-layer="384" to-port="0" /> <edge from-layer="383" from-port="0" to-layer="384" to-port="1" /> <edge from-layer="384" from-port="2" to-layer="385" to-port="0" /> <edge from-layer="385" from-port="1" to-layer="394" to-port="0" /> <edge from-layer="386" from-port="0" to-layer="387" to-port="0" /> <edge from-layer="387" from-port="1" to-layer="390" to-port="0" /> <edge from-layer="388" from-port="0" to-layer="389" to-port="0" /> <edge from-layer="389" from-port="1" to-layer="390" to-port="1" /> <edge from-layer="390" from-port="2" to-layer="392" to-port="0" /> <edge from-layer="391" from-port="0" to-layer="392" to-port="1" /> <edge from-layer="392" from-port="2" to-layer="393" to-port="0" /> <edge from-layer="393" from-port="1" to-layer="394" to-port="1" /> <edge from-layer="394" from-port="2" to-layer="396" to-port="0" /> <edge from-layer="395" from-port="0" to-layer="396" to-port="1" /> <edge from-layer="396" from-port="2" to-layer="397" to-port="1" /> <edge from-layer="397" from-port="2" to-layer="399" to-port="0" /> <edge from-layer="397" from-port="2" to-layer="442" to-port="0" /> <edge from-layer="397" from-port="2" to-layer="402" to-port="0" /> <edge from-layer="398" from-port="0" to-layer="399" to-port="1" /> <edge from-layer="399" from-port="2" to-layer="401" to-port="0" /> <edge from-layer="400" from-port="0" to-layer="401" to-port="1" /> <edge from-layer="401" from-port="2" to-layer="403" to-port="0" /> <edge from-layer="402" from-port="1" to-layer="403" to-port="1" /> <edge from-layer="403" from-port="2" to-layer="405" to-port="0" /> <edge from-layer="404" from-port="0" to-layer="405" to-port="1" /> <edge from-layer="405" from-port="2" to-layer="407" to-port="0" /> <edge from-layer="406" from-port="0" to-layer="407" to-port="1" /> <edge from-layer="407" from-port="2" to-layer="408" to-port="0" /> <edge from-layer="408" from-port="1" to-layer="417" to-port="0" /> <edge from-layer="409" from-port="0" to-layer="410" to-port="0" /> <edge from-layer="410" from-port="1" to-layer="413" to-port="0" /> <edge from-layer="411" from-port="0" to-layer="412" to-port="0" /> <edge from-layer="412" from-port="1" to-layer="413" to-port="1" /> <edge from-layer="413" from-port="2" to-layer="415" to-port="0" /> <edge from-layer="414" from-port="0" to-layer="415" to-port="1" /> <edge from-layer="415" from-port="2" to-layer="416" to-port="0" /> <edge from-layer="416" from-port="1" to-layer="417" to-port="1" /> <edge from-layer="417" from-port="2" to-layer="419" to-port="0" /> <edge from-layer="418" from-port="0" to-layer="419" to-port="1" /> <edge from-layer="419" from-port="2" to-layer="424" to-port="0" /> <edge from-layer="419" from-port="2" to-layer="421" to-port="0" /> <edge from-layer="420" from-port="0" to-layer="421" to-port="1" /> <edge from-layer="421" from-port="2" to-layer="423" to-port="0" /> <edge from-layer="422" from-port="0" to-layer="423" to-port="1" /> <edge from-layer="423" from-port="2" to-layer="425" to-port="0" /> <edge from-layer="424" from-port="1" to-layer="425" to-port="1" /> <edge from-layer="425" from-port="2" 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="0" /> <edge from-layer="430" from-port="1" to-layer="439" to-port="0" /> <edge from-layer="431" from-port="0" to-layer="432" to-port="0" /> <edge from-layer="432" from-port="1" to-layer="435" to-port="0" /> <edge from-layer="433" from-port="0" to-layer="434" to-port="0" /> <edge from-layer="434" from-port="1" 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="438" to-port="0" /> <edge from-layer="438" from-port="1" 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="442" to-port="1" /> <edge from-layer="442" from-port="2" to-layer="447" to-port="0" /> <edge from-layer="442" from-port="2" to-layer="487" to-port="0" /> <edge from-layer="442" from-port="2" to-layer="444" to-port="0" /> <edge from-layer="443" from-port="0" to-layer="444" to-port="1" /> <edge from-layer="444" from-port="2" to-layer="446" to-port="0" /> <edge from-layer="445" from-port="0" to-layer="446" to-port="1" /> <edge from-layer="446" from-port="2" to-layer="448" to-port="0" /> <edge from-layer="447" from-port="1" to-layer="448" to-port="1" /> <edge from-layer="448" from-port="2" to-layer="450" to-port="0" /> <edge from-layer="449" from-port="0" to-layer="450" to-port="1" /> <edge from-layer="450" from-port="2" to-layer="452" to-port="0" /> <edge from-layer="451" from-port="0" to-layer="452" to-port="1" /> <edge from-layer="452" from-port="2" to-layer="453" to-port="0" /> <edge from-layer="453" from-port="1" to-layer="462" to-port="0" /> <edge from-layer="454" from-port="0" to-layer="455" to-port="0" /> <edge from-layer="455" from-port="1" to-layer="458" to-port="0" /> <edge from-layer="456" from-port="0" to-layer="457" to-port="0" /> <edge from-layer="457" from-port="1" 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="461" 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="464" from-port="2" to-layer="469" 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="468" to-port="0" /> <edge from-layer="467" from-port="0" to-layer="468" to-port="1" /> <edge from-layer="468" from-port="2" to-layer="470" to-port="0" /> <edge from-layer="469" from-port="1" to-layer="470" to-port="1" /> <edge from-layer="470" from-port="2" to-layer="472" to-port="0" /> <edge from-layer="471" from-port="0" to-layer="472" to-port="1" /> <edge from-layer="472" from-port="2" to-layer="474" 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="475" to-port="0" /> <edge from-layer="475" from-port="1" to-layer="484" to-port="0" /> <edge from-layer="476" from-port="0" to-layer="477" to-port="0" /> <edge from-layer="477" from-port="1" to-layer="480" to-port="0" /> <edge from-layer="478" from-port="0" to-layer="479" to-port="0" /> <edge from-layer="479" from-port="1" 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="484" to-port="1" /> <edge from-layer="484" from-port="2" to-layer="486" to-port="0" /> <edge from-layer="485" from-port="0" to-layer="486" to-port="1" /> <edge from-layer="486" from-port="2" to-layer="487" to-port="1" /> <edge from-layer="487" from-port="2" to-layer="490" to-port="0" /> <edge from-layer="488" from-port="0" to-layer="490" to-port="1" /> <edge from-layer="489" from-port="0" to-layer="490" to-port="2" /> <edge from-layer="490" from-port="3" to-layer="499" to-port="0" /> <edge from-layer="491" from-port="0" to-layer="492" to-port="0" /> <edge from-layer="492" from-port="1" to-layer="495" to-port="0" /> <edge from-layer="493" from-port="0" to-layer="494" to-port="0" /> <edge from-layer="494" from-port="1" 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="499" to-port="1" /> <edge from-layer="499" from-port="2" to-layer="501" to-port="0" /> <edge from-layer="500" from-port="0" to-layer="501" to-port="1" /> <edge from-layer="501" from-port="2" to-layer="517" to-port="0" /> <edge from-layer="501" from-port="2" to-layer="514" to-port="0" /> <edge from-layer="501" from-port="2" to-layer="510" to-port="0" /> <edge from-layer="502" from-port="0" to-layer="503" to-port="0" /> <edge from-layer="503" from-port="1" to-layer="506" to-port="0" /> <edge from-layer="504" from-port="0" to-layer="505" to-port="0" /> <edge from-layer="505" from-port="1" to-layer="506" to-port="1" /> <edge from-layer="506" from-port="2" to-layer="508" to-port="0" /> <edge from-layer="507" from-port="0" to-layer="508" to-port="1" /> <edge from-layer="508" from-port="2" to-layer="509" to-port="0" /> <edge from-layer="509" from-port="1" to-layer="510" to-port="1" /> <edge from-layer="510" from-port="2" to-layer="512" to-port="0" /> <edge from-layer="511" from-port="0" to-layer="512" to-port="1" /> <edge from-layer="512" from-port="2" to-layer="557" to-port="0" /> <edge from-layer="513" from-port="0" to-layer="514" to-port="1" /> <edge from-layer="514" from-port="2" 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="1" to-layer="518" to-port="1" /> <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="523" to-port="0" /> <edge from-layer="523" from-port="1" to-layer="532" to-port="0" /> <edge from-layer="524" from-port="0" to-layer="525" to-port="0" /> <edge from-layer="525" from-port="1" to-layer="528" to-port="0" /> <edge from-layer="526" from-port="0" to-layer="527" to-port="0" /> <edge from-layer="527" from-port="1" to-layer="528" to-port="1" /> <edge from-layer="528" from-port="2" to-layer="530" to-port="0" /> <edge from-layer="529" from-port="0" to-layer="530" to-port="1" /> <edge from-layer="530" from-port="2" to-layer="531" to-port="0" /> <edge from-layer="531" from-port="1" to-layer="532" to-port="1" /> <edge from-layer="532" from-port="2" to-layer="534" to-port="0" /> <edge from-layer="533" from-port="0" to-layer="534" to-port="1" /> <edge from-layer="534" from-port="2" to-layer="539" to-port="0" /> <edge from-layer="534" from-port="2" to-layer="536" 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="554" to-port="0" /> <edge from-layer="546" from-port="0" to-layer="547" to-port="0" /> <edge from-layer="547" from-port="1" to-layer="550" to-port="0" /> <edge from-layer="548" from-port="0" to-layer="549" to-port="0" /> <edge from-layer="549" from-port="1" to-layer="550" to-port="1" /> <edge from-layer="550" from-port="2" to-layer="552" to-port="0" /> <edge from-layer="551" from-port="0" to-layer="552" to-port="1" /> <edge from-layer="552" from-port="2" to-layer="553" to-port="0" /> <edge from-layer="553" from-port="1" to-layer="554" to-port="1" /> <edge from-layer="554" from-port="2" to-layer="556" to-port="0" /> <edge from-layer="555" from-port="0" to-layer="556" to-port="1" /> <edge from-layer="556" from-port="2" to-layer="557" to-port="1" /> <edge from-layer="557" from-port="2" to-layer="559" to-port="0" /> <edge from-layer="557" from-port="2" to-layer="562" to-port="0" /> <edge from-layer="557" from-port="2" to-layer="602" to-port="0" /> <edge from-layer="558" from-port="0" to-layer="559" to-port="1" /> <edge from-layer="559" from-port="2" to-layer="561" to-port="0" /> <edge from-layer="560" from-port="0" to-layer="561" to-port="1" /> <edge from-layer="561" from-port="2" to-layer="563" to-port="0" /> <edge from-layer="562" from-port="1" to-layer="563" to-port="1" /> <edge from-layer="563" from-port="2" to-layer="565" to-port="0" /> <edge from-layer="564" from-port="0" to-layer="565" to-port="1" /> <edge from-layer="565" from-port="2" to-layer="567" to-port="0" /> <edge from-layer="566" from-port="0" to-layer="567" to-port="1" /> <edge from-layer="567" from-port="2" to-layer="568" to-port="0" /> <edge from-layer="568" from-port="1" to-layer="577" to-port="0" /> <edge from-layer="569" from-port="0" to-layer="570" to-port="0" /> <edge from-layer="570" from-port="1" to-layer="573" to-port="0" /> <edge from-layer="571" from-port="0" to-layer="572" to-port="0" /> <edge from-layer="572" from-port="1" to-layer="573" to-port="1" /> <edge from-layer="573" from-port="2" to-layer="575" to-port="0" /> <edge from-layer="574" from-port="0" to-layer="575" to-port="1" /> <edge from-layer="575" from-port="2" to-layer="576" to-port="0" /> <edge from-layer="576" from-port="1" to-layer="577" to-port="1" /> <edge from-layer="577" from-port="2" to-layer="579" to-port="0" /> <edge from-layer="578" from-port="0" to-layer="579" to-port="1" /> <edge from-layer="579" from-port="2" to-layer="581" to-port="0" /> <edge from-layer="579" from-port="2" to-layer="584" to-port="0" /> <edge from-layer="580" from-port="0" to-layer="581" to-port="1" /> <edge from-layer="581" from-port="2" to-layer="583" to-port="0" /> <edge from-layer="582" from-port="0" to-layer="583" to-port="1" /> <edge from-layer="583" from-port="2" to-layer="585" to-port="0" /> <edge from-layer="584" from-port="1" to-layer="585" to-port="1" /> <edge from-layer="585" from-port="2" to-layer="587" to-port="0" /> <edge from-layer="586" from-port="0" to-layer="587" to-port="1" /> <edge from-layer="587" from-port="2" to-layer="589" to-port="0" /> <edge from-layer="588" from-port="0" to-layer="589" to-port="1" /> <edge from-layer="589" from-port="2" to-layer="590" to-port="0" /> <edge from-layer="590" from-port="1" to-layer="599" to-port="0" /> <edge from-layer="591" from-port="0" to-layer="592" to-port="0" /> <edge from-layer="592" from-port="1" to-layer="595" to-port="0" /> <edge from-layer="593" from-port="0" to-layer="594" to-port="0" /> <edge from-layer="594" from-port="1" to-layer="595" to-port="1" /> <edge from-layer="595" from-port="2" to-layer="597" to-port="0" /> <edge from-layer="596" from-port="0" to-layer="597" to-port="1" /> <edge from-layer="597" from-port="2" to-layer="598" to-port="0" /> <edge from-layer="598" from-port="1" to-layer="599" to-port="1" /> <edge from-layer="599" from-port="2" to-layer="601" to-port="0" /> <edge from-layer="600" from-port="0" to-layer="601" to-port="1" /> <edge from-layer="601" from-port="2" to-layer="602" to-port="1" /> <edge from-layer="602" from-port="2" to-layer="604" to-port="0" /> <edge from-layer="602" from-port="2" to-layer="647" to-port="0" /> <edge from-layer="602" from-port="2" to-layer="607" to-port="0" /> <edge from-layer="603" from-port="0" to-layer="604" to-port="1" /> <edge from-layer="604" from-port="2" to-layer="606" to-port="0" /> <edge from-layer="605" from-port="0" to-layer="606" to-port="1" /> <edge from-layer="606" from-port="2" to-layer="608" to-port="0" /> <edge from-layer="607" from-port="1" to-layer="608" to-port="1" /> <edge from-layer="608" from-port="2" to-layer="610" to-port="0" /> <edge from-layer="609" from-port="0" to-layer="610" to-port="1" /> <edge from-layer="610" from-port="2" to-layer="612" to-port="0" /> <edge from-layer="611" from-port="0" to-layer="612" to-port="1" /> <edge from-layer="612" from-port="2" to-layer="613" to-port="0" /> <edge from-layer="613" from-port="1" to-layer="622" to-port="0" /> <edge from-layer="614" from-port="0" to-layer="615" to-port="0" /> <edge from-layer="615" from-port="1" to-layer="618" to-port="0" /> <edge from-layer="616" from-port="0" to-layer="617" to-port="0" /> <edge from-layer="617" from-port="1" to-layer="618" to-port="1" /> <edge from-layer="618" from-port="2" to-layer="620" to-port="0" /> <edge from-layer="619" from-port="0" to-layer="620" to-port="1" /> <edge from-layer="620" from-port="2" to-layer="621" to-port="0" /> <edge from-layer="621" from-port="1" to-layer="622" to-port="1" /> <edge from-layer="622" from-port="2" to-layer="624" to-port="0" /> <edge from-layer="623" from-port="0" to-layer="624" to-port="1" /> <edge from-layer="624" from-port="2" to-layer="626" to-port="0" /> <edge from-layer="624" from-port="2" to-layer="629" to-port="0" /> <edge from-layer="625" from-port="0" to-layer="626" to-port="1" /> <edge from-layer="626" from-port="2" to-layer="628" to-port="0" /> <edge from-layer="627" from-port="0" to-layer="628" to-port="1" /> <edge from-layer="628" from-port="2" to-layer="630" to-port="0" /> <edge from-layer="629" from-port="1" to-layer="630" to-port="1" /> <edge from-layer="630" from-port="2" to-layer="632" to-port="0" /> <edge from-layer="631" from-port="0" to-layer="632" to-port="1" /> <edge from-layer="632" from-port="2" to-layer="634" to-port="0" /> <edge from-layer="633" from-port="0" to-layer="634" to-port="1" /> <edge from-layer="634" from-port="2" to-layer="635" to-port="0" /> <edge from-layer="635" from-port="1" to-layer="644" to-port="0" /> <edge from-layer="636" from-port="0" to-layer="637" to-port="0" /> <edge from-layer="637" from-port="1" to-layer="640" to-port="0" /> <edge from-layer="638" from-port="0" to-layer="639" to-port="0" /> <edge from-layer="639" from-port="1" to-layer="640" to-port="1" /> <edge from-layer="640" from-port="2" to-layer="642" to-port="0" /> <edge from-layer="641" from-port="0" to-layer="642" to-port="1" /> <edge from-layer="642" from-port="2" to-layer="643" to-port="0" /> <edge from-layer="643" from-port="1" to-layer="644" to-port="1" /> <edge from-layer="644" from-port="2" to-layer="646" to-port="0" /> <edge from-layer="645" from-port="0" to-layer="646" to-port="1" /> <edge from-layer="646" from-port="2" to-layer="647" to-port="1" /> <edge from-layer="647" from-port="2" to-layer="650" to-port="0" /> <edge from-layer="648" from-port="0" to-layer="650" to-port="1" /> <edge from-layer="649" from-port="0" to-layer="650" to-port="2" /> <edge from-layer="650" from-port="3" to-layer="659" to-port="0" /> <edge from-layer="651" from-port="0" to-layer="652" to-port="0" /> <edge from-layer="652" from-port="1" to-layer="655" to-port="0" /> <edge from-layer="653" from-port="0" to-layer="654" to-port="0" /> <edge from-layer="654" from-port="1" to-layer="655" to-port="1" /> <edge from-layer="655" from-port="2" to-layer="657" to-port="0" /> <edge from-layer="656" from-port="0" to-layer="657" to-port="1" /> <edge from-layer="657" from-port="2" to-layer="658" to-port="0" /> <edge from-layer="658" from-port="1" to-layer="659" to-port="1" /> <edge from-layer="659" from-port="2" to-layer="661" to-port="0" /> <edge from-layer="660" from-port="0" to-layer="661" to-port="1" /> <edge from-layer="661" from-port="2" to-layer="670" to-port="0" /> <edge from-layer="661" from-port="2" to-layer="677" to-port="0" /> <edge from-layer="661" from-port="2" to-layer="674" to-port="0" /> <edge from-layer="662" from-port="0" to-layer="663" to-port="0" /> <edge from-layer="663" from-port="1" to-layer="666" to-port="0" /> <edge from-layer="664" from-port="0" to-layer="665" to-port="0" /> <edge from-layer="665" from-port="1" to-layer="666" to-port="1" /> <edge from-layer="666" from-port="2" to-layer="668" to-port="0" /> <edge from-layer="667" from-port="0" to-layer="668" to-port="1" /> <edge from-layer="668" from-port="2" to-layer="669" to-port="0" /> <edge from-layer="669" from-port="1" to-layer="670" to-port="1" /> <edge from-layer="670" from-port="2" to-layer="672" to-port="0" /> <edge from-layer="671" from-port="0" to-layer="672" to-port="1" /> <edge from-layer="672" from-port="2" to-layer="717" to-port="0" /> <edge from-layer="673" from-port="0" to-layer="674" to-port="1" /> <edge from-layer="674" from-port="2" to-layer="676" to-port="0" /> <edge from-layer="675" from-port="0" to-layer="676" to-port="1" /> <edge from-layer="676" from-port="2" to-layer="678" to-port="0" /> <edge from-layer="677" from-port="1" to-layer="678" to-port="1" /> <edge from-layer="678" from-port="2" to-layer="680" to-port="0" /> <edge from-layer="679" from-port="0" to-layer="680" to-port="1" /> <edge from-layer="680" from-port="2" to-layer="682" to-port="0" /> <edge from-layer="681" from-port="0" to-layer="682" to-port="1" /> <edge from-layer="682" from-port="2" to-layer="683" to-port="0" /> <edge from-layer="683" from-port="1" to-layer="692" to-port="0" /> <edge from-layer="684" from-port="0" to-layer="685" to-port="0" /> <edge from-layer="685" from-port="1" to-layer="688" to-port="0" /> <edge from-layer="686" from-port="0" to-layer="687" to-port="0" /> <edge from-layer="687" from-port="1" to-layer="688" to-port="1" /> <edge from-layer="688" from-port="2" to-layer="690" to-port="0" /> <edge from-layer="689" from-port="0" to-layer="690" to-port="1" /> <edge from-layer="690" from-port="2" to-layer="691" to-port="0" /> <edge from-layer="691" from-port="1" to-layer="692" to-port="1" /> <edge from-layer="692" from-port="2" to-layer="694" to-port="0" /> <edge from-layer="693" from-port="0" to-layer="694" to-port="1" /> <edge from-layer="694" from-port="2" to-layer="696" to-port="0" /> <edge from-layer="694" from-port="2" to-layer="699" to-port="0" /> <edge from-layer="695" from-port="0" to-layer="696" to-port="1" /> <edge from-layer="696" from-port="2" to-layer="698" to-port="0" /> <edge from-layer="697" from-port="0" to-layer="698" to-port="1" /> <edge from-layer="698" from-port="2" to-layer="700" to-port="0" /> <edge from-layer="699" from-port="1" to-layer="700" to-port="1" /> <edge from-layer="700" from-port="2" to-layer="702" to-port="0" /> <edge from-layer="701" from-port="0" to-layer="702" to-port="1" /> <edge from-layer="702" from-port="2" to-layer="704" to-port="0" /> <edge from-layer="703" from-port="0" to-layer="704" to-port="1" /> <edge from-layer="704" from-port="2" to-layer="705" to-port="0" /> <edge from-layer="705" from-port="1" to-layer="714" to-port="0" /> <edge from-layer="706" from-port="0" to-layer="707" to-port="0" /> <edge from-layer="707" from-port="1" to-layer="710" to-port="0" /> <edge from-layer="708" from-port="0" to-layer="709" to-port="0" /> <edge from-layer="709" from-port="1" to-layer="710" to-port="1" /> <edge from-layer="710" from-port="2" to-layer="712" to-port="0" /> <edge from-layer="711" from-port="0" to-layer="712" to-port="1" /> <edge from-layer="712" from-port="2" to-layer="713" to-port="0" /> <edge from-layer="713" from-port="1" to-layer="714" to-port="1" /> <edge from-layer="714" from-port="2" to-layer="716" to-port="0" /> <edge from-layer="715" from-port="0" to-layer="716" to-port="1" /> <edge from-layer="716" from-port="2" to-layer="717" to-port="1" /> <edge from-layer="717" from-port="2" to-layer="719" to-port="0" /> <edge from-layer="717" from-port="2" to-layer="722" to-port="0" /> <edge from-layer="717" from-port="2" to-layer="762" to-port="0" /> <edge from-layer="718" from-port="0" to-layer="719" to-port="1" /> <edge from-layer="719" from-port="2" to-layer="721" to-port="0" /> <edge from-layer="720" from-port="0" to-layer="721" to-port="1" /> <edge from-layer="721" from-port="2" to-layer="723" to-port="0" /> <edge from-layer="722" from-port="1" to-layer="723" to-port="1" /> <edge from-layer="723" from-port="2" to-layer="725" to-port="0" /> <edge from-layer="724" from-port="0" to-layer="725" to-port="1" /> <edge from-layer="725" from-port="2" to-layer="727" to-port="0" /> <edge from-layer="726" from-port="0" to-layer="727" to-port="1" /> <edge from-layer="727" from-port="2" to-layer="728" to-port="0" /> <edge from-layer="728" from-port="1" to-layer="737" to-port="0" /> <edge from-layer="729" from-port="0" to-layer="730" to-port="0" /> <edge from-layer="730" from-port="1" to-layer="733" to-port="0" /> <edge from-layer="731" from-port="0" to-layer="732" to-port="0" /> <edge from-layer="732" from-port="1" to-layer="733" to-port="1" /> <edge from-layer="733" from-port="2" to-layer="735" to-port="0" /> <edge from-layer="734" from-port="0" to-layer="735" to-port="1" /> <edge from-layer="735" from-port="2" to-layer="736" to-port="0" /> <edge from-layer="736" from-port="1" to-layer="737" to-port="1" /> <edge from-layer="737" from-port="2" to-layer="739" to-port="0" /> <edge from-layer="738" from-port="0" to-layer="739" to-port="1" /> <edge from-layer="739" from-port="2" to-layer="741" to-port="0" /> <edge from-layer="739" from-port="2" to-layer="744" to-port="0" /> <edge from-layer="740" from-port="0" to-layer="741" to-port="1" /> <edge from-layer="741" from-port="2" to-layer="743" to-port="0" /> <edge from-layer="742" from-port="0" to-layer="743" to-port="1" /> <edge from-layer="743" from-port="2" to-layer="745" to-port="0" /> <edge from-layer="744" from-port="1" to-layer="745" to-port="1" /> <edge from-layer="745" from-port="2" to-layer="747" to-port="0" /> <edge from-layer="746" from-port="0" to-layer="747" to-port="1" /> <edge from-layer="747" from-port="2" to-layer="749" to-port="0" /> <edge from-layer="748" from-port="0" to-layer="749" to-port="1" /> <edge from-layer="749" from-port="2" to-layer="750" to-port="0" /> <edge from-layer="750" from-port="1" to-layer="759" to-port="0" /> <edge from-layer="751" from-port="0" to-layer="752" to-port="0" /> <edge from-layer="752" from-port="1" to-layer="755" to-port="0" /> <edge from-layer="753" from-port="0" to-layer="754" to-port="0" /> <edge from-layer="754" from-port="1" to-layer="755" to-port="1" /> <edge from-layer="755" from-port="2" to-layer="757" to-port="0" /> <edge from-layer="756" from-port="0" to-layer="757" to-port="1" /> <edge from-layer="757" from-port="2" to-layer="758" to-port="0" /> <edge from-layer="758" from-port="1" to-layer="759" to-port="1" /> <edge from-layer="759" from-port="2" to-layer="761" to-port="0" /> <edge from-layer="760" from-port="0" to-layer="761" to-port="1" /> <edge from-layer="761" from-port="2" to-layer="762" to-port="1" /> <edge from-layer="762" from-port="2" to-layer="807" to-port="0" /> <edge from-layer="762" from-port="2" to-layer="764" to-port="0" /> <edge from-layer="762" from-port="2" to-layer="767" to-port="0" /> <edge from-layer="763" from-port="0" to-layer="764" to-port="1" /> <edge from-layer="764" from-port="2" to-layer="766" to-port="0" /> <edge from-layer="765" from-port="0" to-layer="766" to-port="1" /> <edge from-layer="766" from-port="2" to-layer="768" to-port="0" /> <edge from-layer="767" from-port="1" to-layer="768" to-port="1" /> <edge from-layer="768" from-port="2" to-layer="770" to-port="0" /> <edge from-layer="769" from-port="0" to-layer="770" to-port="1" /> <edge from-layer="770" from-port="2" to-layer="772" to-port="0" /> <edge from-layer="771" from-port="0" to-layer="772" to-port="1" /> <edge from-layer="772" from-port="2" to-layer="773" to-port="0" /> <edge from-layer="773" from-port="1" to-layer="782" to-port="0" /> <edge from-layer="774" from-port="0" to-layer="775" to-port="0" /> <edge from-layer="775" from-port="1" to-layer="778" to-port="0" /> <edge from-layer="776" from-port="0" to-layer="777" to-port="0" /> <edge from-layer="777" from-port="1" to-layer="778" to-port="1" /> <edge from-layer="778" from-port="2" to-layer="780" to-port="0" /> <edge from-layer="779" from-port="0" to-layer="780" to-port="1" /> <edge from-layer="780" from-port="2" to-layer="781" to-port="0" /> <edge from-layer="781" from-port="1" to-layer="782" to-port="1" /> <edge from-layer="782" from-port="2" to-layer="784" to-port="0" /> <edge from-layer="783" from-port="0" to-layer="784" to-port="1" /> <edge from-layer="784" from-port="2" to-layer="786" to-port="0" /> <edge from-layer="784" from-port="2" to-layer="789" to-port="0" /> <edge from-layer="785" from-port="0" to-layer="786" to-port="1" /> <edge from-layer="786" from-port="2" to-layer="788" to-port="0" /> <edge from-layer="787" from-port="0" to-layer="788" to-port="1" /> <edge from-layer="788" from-port="2" to-layer="790" to-port="0" /> <edge from-layer="789" from-port="1" to-layer="790" to-port="1" /> <edge from-layer="790" from-port="2" to-layer="792" to-port="0" /> <edge from-layer="791" from-port="0" to-layer="792" to-port="1" /> <edge from-layer="792" from-port="2" to-layer="794" to-port="0" /> <edge from-layer="793" from-port="0" to-layer="794" to-port="1" /> <edge from-layer="794" from-port="2" to-layer="795" to-port="0" /> <edge from-layer="795" from-port="1" to-layer="804" to-port="0" /> <edge from-layer="796" from-port="0" to-layer="797" to-port="0" /> <edge from-layer="797" from-port="1" to-layer="800" to-port="0" /> <edge from-layer="798" from-port="0" to-layer="799" to-port="0" /> <edge from-layer="799" from-port="1" to-layer="800" to-port="1" /> <edge from-layer="800" from-port="2" to-layer="802" to-port="0" /> <edge from-layer="801" from-port="0" to-layer="802" to-port="1" /> <edge from-layer="802" from-port="2" to-layer="803" to-port="0" /> <edge from-layer="803" from-port="1" to-layer="804" to-port="1" /> <edge from-layer="804" from-port="2" to-layer="806" to-port="0" /> <edge from-layer="805" from-port="0" to-layer="806" to-port="1" /> <edge from-layer="806" from-port="2" to-layer="807" to-port="1" /> <edge from-layer="807" from-port="2" to-layer="809" to-port="0" /> <edge from-layer="807" from-port="2" to-layer="812" to-port="0" /> <edge from-layer="808" from-port="0" to-layer="809" to-port="1" /> <edge from-layer="809" from-port="2" to-layer="811" to-port="0" /> <edge from-layer="810" from-port="0" to-layer="811" to-port="1" /> <edge from-layer="811" from-port="2" to-layer="813" to-port="0" /> <edge from-layer="812" from-port="1" to-layer="813" to-port="1" /> <edge from-layer="813" from-port="2" to-layer="815" to-port="0" /> <edge from-layer="814" from-port="0" to-layer="815" to-port="1" /> <edge from-layer="815" from-port="2" to-layer="817" to-port="0" /> <edge from-layer="816" from-port="0" to-layer="817" to-port="1" /> <edge from-layer="817" from-port="2" to-layer="818" to-port="0" /> <edge from-layer="818" from-port="1" to-layer="827" to-port="0" /> <edge from-layer="819" from-port="0" to-layer="820" to-port="0" /> <edge from-layer="820" from-port="1" to-layer="823" to-port="0" /> <edge from-layer="821" from-port="0" to-layer="822" to-port="0" /> <edge from-layer="822" from-port="1" to-layer="823" to-port="1" /> <edge from-layer="823" from-port="2" to-layer="825" to-port="0" /> <edge from-layer="824" from-port="0" to-layer="825" to-port="1" /> <edge from-layer="825" from-port="2" to-layer="826" to-port="0" /> <edge from-layer="826" from-port="1" to-layer="827" to-port="1" /> <edge from-layer="827" from-port="2" to-layer="829" to-port="0" /> <edge from-layer="828" from-port="0" to-layer="829" to-port="1" /> <edge from-layer="829" from-port="2" to-layer="830" to-port="0" /> </edges> <rt_info> <Runtime_version value="2024.3.0-16041-1e3b88e4e3f-releases/2024/3" /> <conversion_parameters> <framework value="pytorch" /> <is_python_object value="True" /> </conversion_parameters> <nncf> <friendly_names_were_updated value="True" /> <weight_compression> <all_layers value="False" /> <awq value="False" /> <gptq value="False" /> <group_size value="-1" /> <ignored_scope value="[]" /> <mode value="int8_asym" /> <ratio value="1.0" /> <scale_estimation value="False" /> <sensitivity_metric value="weight_quantization_error" /> </weight_compression> </nncf> <optimum> <diffusers_version value="1.22.0.dev0" /> <optimum_intel_version value="1.19.0.dev0+07d5d30" /> <optimum_version value="1.22.0.dev0" /> <pytorch_version value="2.4.0" /> <transformers_version value="4.42.4" /> </optimum> </rt_info> </net>