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318 kB
| <net name="Model9" version="11"> | |
| <layers> | |
| <layer id="0" name="latent_sample" type="Parameter" version="opset1"> | |
| <data shape="?,16,?,?" element_type="f32" /> | |
| <output> | |
| <port id="0" precision="FP32" names="latent_sample"> | |
| <dim>-1</dim> | |
| <dim>16</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="1" name="self.decoder.conv_in.weight" type="Const" version="opset1"> | |
| <data element_type="u8" shape="512, 16, 3, 3" offset="0" size="73728" /> | |
| <output> | |
| <port id="0" precision="U8"> | |
| <dim>512</dim> | |
| <dim>16</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="2" name="Convert_260029" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="U8"> | |
| <dim>512</dim> | |
| <dim>16</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>16</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="3" name="self.decoder.conv_in.weight/zero_point" type="Const" version="opset1"> | |
| <data element_type="u8" shape="512, 1, 1, 1" offset="73728" 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="4" name="Convert_260032" 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="5" 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>16</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>16</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="6" name="self.decoder.conv_in.weight/scale" type="Const" version="opset1"> | |
| <data element_type="f16" shape="512, 1, 1, 1" offset="74240" 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="7" 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>16</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>16</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="8" 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>16</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| <dim>16</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="9" 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>16</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| <dim>16</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="10" name="__module.decoder.conv_in/aten::_convolution/Reshape" type="Const" version="opset1"> | |
| <data element_type="f32" shape="1, 512, 1, 1" offset="75264" 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="11" 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="44,input.1"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="12" name="self.decoder.mid_block.resnets.0.norm1.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="77312" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.mid_block.resnets.0.norm1.weight"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="13" name="self.decoder.mid_block.resnets.0.norm1.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="79360" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.mid_block.resnets.0.norm1.bias"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="14" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
| <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> | |
| </port> | |
| <port id="2" precision="FP32"> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="3" precision="FP32" names="61,input.3"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="15" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish" type="Swish" version="opset4"> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP32" names="62"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="16" name="self.decoder.mid_block.resnets.0.conv1.weight" type="Const" version="opset1"> | |
| <data element_type="u8" shape="512, 512, 3, 3" offset="81408" 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="17" name="Convert_259633" 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="18" 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="2440704" 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="19" name="Convert_259636" 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="20" 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="21" name="self.decoder.mid_block.resnets.0.conv1.weight/scale" type="Const" version="opset1"> | |
| <data element_type="f16" shape="512, 1, 1, 1" offset="2441216" 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="22" 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="23" 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="24" 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="25" 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="2442240" 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="26" 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="69,input.5"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="27" name="self.decoder.mid_block.resnets.0.norm2.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="2444288" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.mid_block.resnets.0.norm2.weight"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="28" name="self.decoder.mid_block.resnets.0.norm2.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="2446336" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.mid_block.resnets.0.norm2.bias"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="29" name="__module.decoder.mid_block.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
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| <dim>-1</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| </port> | |
| <port id="2" precision="FP32"> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="3" precision="FP32" names="72,input.7"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="30" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4"> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP32" names="73,input.9"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="31" name="self.decoder.mid_block.resnets.0.conv2.weight" type="Const" version="opset1"> | |
| <data element_type="u8" shape="512, 512, 3, 3" offset="2448384" 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="32" name="Convert_259644" 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="33" 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="4807680" 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="34" name="Convert_259647" 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="35" 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="36" name="self.decoder.mid_block.resnets.0.conv2.weight/scale" type="Const" version="opset1"> | |
| <data element_type="f16" shape="512, 1, 1, 1" offset="4808192" 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="37" 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="38" 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="39" 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="40" 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="4809216" 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="41" 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="81,hidden_states.1"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="42" 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="82,83,hidden_states.3"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="43" name="Constant_189213" type="Const" version="opset1"> | |
| <data element_type="i64" shape="3" offset="4811264" size="24" /> | |
| <output> | |
| <port id="0" precision="I64"> | |
| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="44" 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="99"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="45" name="__module.decoder.mid_block.attentions.0/aten::transpose/Constant" type="Const" version="opset1"> | |
| <data element_type="i32" shape="3" offset="4811288" size="12" /> | |
| <output> | |
| <port id="0" precision="I32"> | |
| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="46" 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="100,hidden_states.5"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="47" name="__module.decoder.mid_block.attentions.0/aten::transpose/Constant_1" type="Const" version="opset1"> | |
| <data element_type="i32" shape="3" offset="4811288" size="12" /> | |
| <output> | |
| <port id="0" precision="I32"> | |
| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="48" 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="102,input.11"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="49" name="self.decoder.mid_block.attentions.0.group_norm.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="4811300" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.mid_block.attentions.0.group_norm.weight"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="50" name="self.decoder.mid_block.attentions.0.group_norm.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="4813348" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.mid_block.attentions.0.group_norm.bias"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="51" name="__module.decoder.mid_block.attentions.0.group_norm/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| </port> | |
| <port id="2" precision="FP32"> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="3" precision="FP32" names="105"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="52" name="self.decoder.mid_block.attentions.0.to_q.weight" type="Const" version="opset1"> | |
| <data element_type="u8" shape="512, 512" offset="4815396" size="262144" /> | |
| <output> | |
| <port id="0" precision="U8"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="53" name="Convert_259941" 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="54" name="self.decoder.mid_block.attentions.0.to_q.weight/zero_point" type="Const" version="opset1"> | |
| <data element_type="u8" shape="512, 1" offset="5077540" size="512" /> | |
| <output> | |
| <port id="0" precision="U8"> | |
| <dim>512</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="55" name="Convert_259944" 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="56" 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="57" name="self.decoder.mid_block.attentions.0.to_q.weight/scale" type="Const" version="opset1"> | |
| <data element_type="f16" shape="512, 1" offset="5078052" size="1024" /> | |
| <output> | |
| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="58" 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="59" 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="60" 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="61" name="Constant_189098" type="Const" version="opset1"> | |
| <data element_type="f32" shape="1, 1, 512" offset="5079076" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="62" 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="109,query"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="63" name="Constant_189214" type="Const" version="opset1"> | |
| <data element_type="i64" shape="4" offset="5081124" size="32" /> | |
| <output> | |
| <port id="0" precision="I64"> | |
| <dim>4</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="64" 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="123"> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| <dim>1</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="65" name="Constant_188963" type="Const" version="opset1"> | |
| <data element_type="i64" shape="4" offset="5081156" size="32" /> | |
| <output> | |
| <port id="0" precision="I64"> | |
| <dim>4</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="66" 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="124"> | |
| <dim>-1</dim> | |
| <dim>1</dim> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="67" name="self.decoder.mid_block.attentions.0.to_k.weight" type="Const" version="opset1"> | |
| <data element_type="u8" shape="512, 512" offset="5081188" size="262144" /> | |
| <output> | |
| <port id="0" precision="U8"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="68" name="Convert_259930" 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="69" name="self.decoder.mid_block.attentions.0.to_k.weight/zero_point" type="Const" version="opset1"> | |
| <data element_type="u8" shape="512, 1" offset="5343332" size="512" /> | |
| <output> | |
| <port id="0" precision="U8"> | |
| <dim>512</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="70" name="Convert_259933" 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="71" 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> | |
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| <layer id="82" name="self.decoder.mid_block.attentions.0.to_v.weight" type="Const" version="opset1"> | |
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| <layer id="86" name="self.decoder.mid_block.attentions.0.to_v.weight/zero_point/subtract" type="Subtract" version="opset1"> | |
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| <layer id="87" name="self.decoder.mid_block.attentions.0.to_v.weight/scale" type="Const" version="opset1"> | |
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| <layer id="88" name="self.decoder.mid_block.attentions.0.to_v.weight/fq_weights_1" type="Multiply" version="opset1"> | |
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| <layer id="89" name="self.decoder.mid_block.attentions.0.to_v.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
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| <layer id="90" name="__module.decoder.mid_block.attentions.0.to_v/aten::linear/MatMul" type="MatMul" version="opset1"> | |
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| <layer id="91" name="Constant_189100" type="Const" version="opset1"> | |
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| <layer id="92" name="__module.decoder.mid_block.attentions.0.to_v/aten::linear/Add" type="Add" version="opset1"> | |
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| <layer id="93" name="Constant_189216" type="Const" version="opset1"> | |
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| <layer id="94" name="__module.decoder.mid_block.attentions.0/aten::view/Reshape_3" type="Reshape" version="opset1"> | |
| <data special_zero="true" /> | |
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| <layer id="95" name="Constant_188971" type="Const" version="opset1"> | |
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| <layer id="96" name="__module.decoder.mid_block.attentions.0/aten::transpose/Transpose_5" type="Reshape" version="opset1"> | |
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| <layer id="97" name="__module.decoder.mid_block.attentions.0/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13"> | |
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| <port id="3" precision="FP32" names="131,hidden_states.7"> | |
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| <layer id="98" name="Constant_188973" type="Const" version="opset1"> | |
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| <layer id="99" name="__module.decoder.mid_block.attentions.0/aten::transpose/Transpose_6" type="Reshape" version="opset1"> | |
| <data special_zero="true" /> | |
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| <port id="0" precision="FP32"> | |
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| <layer id="100" name="Constant_189217" type="Const" version="opset1"> | |
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| <layer id="101" name="__module.decoder.mid_block.attentions.0/aten::reshape/Reshape" type="Reshape" version="opset1"> | |
| <data special_zero="true" /> | |
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| <port id="0" precision="FP32"> | |
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| <port id="2" precision="FP32" names="136,137,hidden_states.9"> | |
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| <layer id="102" name="self.decoder.mid_block.attentions.0.to_out.0.weight" type="Const" version="opset1"> | |
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| <port id="0" precision="U8"> | |
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| <layer id="103" name="Convert_259952" type="Convert" version="opset1"> | |
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| <port id="0" precision="U8"> | |
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| <port id="1" precision="FP16"> | |
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| <dim>512</dim> | |
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| <layer id="104" name="self.decoder.mid_block.attentions.0.to_out.0.weight/zero_point" type="Const" version="opset1"> | |
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| <port id="0" precision="U8"> | |
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| <layer id="105" name="Convert_259955" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
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| <layer id="106" name="self.decoder.mid_block.attentions.0.to_out.0.weight/zero_point/subtract" type="Subtract" version="opset1"> | |
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| <dim>512</dim> | |
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| <layer id="107" name="self.decoder.mid_block.attentions.0.to_out.0.weight/scale" type="Const" version="opset1"> | |
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| <layer id="108" name="self.decoder.mid_block.attentions.0.to_out.0.weight/fq_weights_1" type="Multiply" version="opset1"> | |
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| <dim>512</dim> | |
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| <layer id="109" name="self.decoder.mid_block.attentions.0.to_out.0.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
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| <dim>512</dim> | |
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| <layer id="110" name="__module.decoder.mid_block.attentions.0.to_out.0/aten::linear/MatMul" type="MatMul" version="opset1"> | |
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| <layer id="111" name="Constant_189101" type="Const" version="opset1"> | |
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| <dim>512</dim> | |
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| <layer id="112" name="__module.decoder.mid_block.attentions.0.to_out.0/aten::linear/Add" type="Add" version="opset1"> | |
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| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32"> | |
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| <output> | |
| <port id="2" precision="FP32" names="140,input.13"> | |
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| <layer id="113" name="__module.decoder.mid_block.attentions.0/aten::transpose/Constant_7" type="Const" version="opset1"> | |
| <data element_type="i32" shape="3" offset="4811288" size="12" /> | |
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| <port id="0" precision="I32"> | |
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| <layer id="114" name="__module.decoder.mid_block.attentions.0/aten::transpose/Transpose_7" type="Transpose" version="opset1"> | |
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| <port id="0" precision="FP32"> | |
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| <port id="1" precision="I32"> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="142"> | |
| <dim>-1</dim> | |
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| </layer> | |
| <layer id="115" name="__module.decoder.mid_block.attentions.0/aten::size/ShapeOf" type="ShapeOf" version="opset3"> | |
| <data output_type="i64" /> | |
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| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
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| </input> | |
| <output> | |
| <port id="1" precision="I64"> | |
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| </layer> | |
| <layer id="116" name="__module.decoder.mid_block.attentions.0/aten::reshape/Reshape_1" type="Reshape" version="opset1"> | |
| <data special_zero="false" /> | |
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| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
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| <port id="1" precision="I64"> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="144,hidden_states.13"> | |
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| <dim>512</dim> | |
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| </output> | |
| </layer> | |
| <layer id="117" 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> | |
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| <port id="1" precision="FP32"> | |
| <dim>-1</dim> | |
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| <dim>-1</dim> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="145,146,hidden_states.15,input.15"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
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| </port> | |
| </output> | |
| </layer> | |
| <layer id="118" name="self.decoder.mid_block.resnets.1.norm1.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="5878428" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.mid_block.resnets.1.norm1.weight"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="119" name="self.decoder.mid_block.resnets.1.norm1.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="5880476" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.mid_block.resnets.1.norm1.bias"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="120" name="__module.decoder.mid_block.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
| <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> | |
| </port> | |
| <port id="2" precision="FP32"> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="3" precision="FP32" names="155,input.17"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="121" 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="156"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="122" name="self.decoder.mid_block.resnets.1.conv1.weight" type="Const" version="opset1"> | |
| <data element_type="u8" shape="512, 512, 3, 3" offset="5882524" size="2359296" /> | |
| <output> | |
| <port id="0" precision="U8"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
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| </output> | |
| </layer> | |
| <layer id="123" name="Convert_259655" 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="124" 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="8241820" size="512" /> | |
| <output> | |
| <port id="0" precision="U8"> | |
| <dim>512</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="125" name="Convert_259658" 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="126" 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="127" name="self.decoder.mid_block.resnets.1.conv1.weight/scale" type="Const" version="opset1"> | |
| <data element_type="f16" shape="512, 1, 1, 1" offset="8242332" 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="128" 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="129" 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="130" 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="131" 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="8243356" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>512</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="132" name="__module.decoder.mid_block.resnets.1.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="163,input.19"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="133" name="self.decoder.mid_block.resnets.1.norm2.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="8245404" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.mid_block.resnets.1.norm2.weight"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="134" name="self.decoder.mid_block.resnets.1.norm2.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="8247452" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.mid_block.resnets.1.norm2.bias"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="135" name="__module.decoder.mid_block.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
| <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> | |
| </port> | |
| <port id="2" precision="FP32"> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="3" precision="FP32" names="166,input.21"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="136" 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="167,input.23"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="137" name="self.decoder.mid_block.resnets.1.conv2.weight" type="Const" version="opset1"> | |
| <data element_type="u8" shape="512, 512, 3, 3" offset="8249500" 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="138" name="Convert_259666" 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="139" 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="10608796" 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="140" name="Convert_259669" 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="141" 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="142" name="self.decoder.mid_block.resnets.1.conv2.weight/scale" type="Const" version="opset1"> | |
| <data element_type="f16" shape="512, 1, 1, 1" offset="10609308" 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="143" 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="144" 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="145" 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> | |
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| <port id="1" precision="FP32"> | |
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| <layer id="146" name="__module.decoder.mid_block.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1"> | |
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| <layer id="147" 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> | |
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| <port id="1" precision="FP32"> | |
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| <dim>512</dim> | |
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| <dim>1</dim> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="175,hidden_states.17"> | |
| <dim>-1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="148" name="__module.decoder.mid_block.resnets.1/aten::add/Add" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32"> | |
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| <output> | |
| <port id="2" precision="FP32" names="176,177,178,input.25,sample"> | |
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| </layer> | |
| <layer id="149" name="self.decoder.up_blocks.0.resnets.0.norm1.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="10612380" size="2048" /> | |
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| <port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.0.norm1.weight"> | |
| <dim>512</dim> | |
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| <layer id="150" name="self.decoder.up_blocks.0.resnets.0.norm1.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="10614428" size="2048" /> | |
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| <port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.0.norm1.bias"> | |
| <dim>512</dim> | |
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| </layer> | |
| <layer id="151" name="__module.decoder.up_blocks.0.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
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| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
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| <port id="1" precision="FP32"> | |
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| <port id="2" precision="FP32"> | |
| <dim>512</dim> | |
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| </input> | |
| <output> | |
| <port id="3" precision="FP32" names="194,input.27"> | |
| <dim>-1</dim> | |
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| <layer id="152" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_4" type="Swish" version="opset4"> | |
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| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
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| </input> | |
| <output> | |
| <port id="1" precision="FP32" names="195"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="153" name="self.decoder.up_blocks.0.resnets.0.conv1.weight" type="Const" version="opset1"> | |
| <data element_type="u8" shape="512, 512, 3, 3" offset="10616476" size="2359296" /> | |
| <output> | |
| <port id="0" precision="U8"> | |
| <dim>512</dim> | |
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| <dim>3</dim> | |
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| </output> | |
| </layer> | |
| <layer id="154" name="Convert_259677" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="U8"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| </input> | |
| <output> | |
| <port id="1" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| </output> | |
| </layer> | |
| <layer id="155" 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="12975772" size="512" /> | |
| <output> | |
| <port id="0" precision="U8"> | |
| <dim>512</dim> | |
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| <dim>1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="156" name="Convert_259680" 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> | |
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| </input> | |
| <output> | |
| <port id="1" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="157" 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> | |
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| <dim>3</dim> | |
| </port> | |
| <port id="1" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="158" 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="12976284" 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="159" 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="160" 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="161" 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="162" 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="12977308" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>512</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="163" name="__module.decoder.up_blocks.0.resnets.0.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="202,input.29"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="164" name="self.decoder.up_blocks.0.resnets.0.norm2.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="12979356" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.0.norm2.weight"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="165" name="self.decoder.up_blocks.0.resnets.0.norm2.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="12981404" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.0.norm2.bias"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="166" name="__module.decoder.up_blocks.0.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
| <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> | |
| </port> | |
| <port id="2" precision="FP32"> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="3" precision="FP32" names="205,input.31"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="167" 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="206,input.33"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="168" name="self.decoder.up_blocks.0.resnets.0.conv2.weight" type="Const" version="opset1"> | |
| <data element_type="u8" shape="512, 512, 3, 3" offset="12983452" 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="169" name="Convert_259688" 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="170" 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="15342748" 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="171" name="Convert_259691" 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="172" 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="173" 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="15343260" 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="174" 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="175" 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="176" 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="177" 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="15344284" 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="178" 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> | |
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| <layer id="179" name="__module.decoder.up_blocks.0.resnets.0/aten::add/Add" type="Add" version="opset1"> | |
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| <layer id="180" name="self.decoder.up_blocks.0.resnets.1.norm1.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="15346332" size="2048" /> | |
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| <port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.1.norm1.weight"> | |
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| <layer id="181" name="self.decoder.up_blocks.0.resnets.1.norm1.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="15348380" size="2048" /> | |
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| <port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.1.norm1.bias"> | |
| <dim>512</dim> | |
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| <layer id="182" name="__module.decoder.up_blocks.0.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
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| <port id="1" precision="FP32"> | |
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| <port id="2" precision="FP32"> | |
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| <port id="3" precision="FP32" names="224,input.37"> | |
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| <layer id="183" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_6" type="Swish" version="opset4"> | |
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| <port id="0" precision="FP32"> | |
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| </input> | |
| <output> | |
| <port id="1" precision="FP32" names="225"> | |
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| <layer id="184" name="self.decoder.up_blocks.0.resnets.1.conv1.weight" type="Const" version="opset1"> | |
| <data element_type="u8" shape="512, 512, 3, 3" offset="15350428" size="2359296" /> | |
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| <layer id="185" name="Convert_259699" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
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| <output> | |
| <port id="1" precision="FP16"> | |
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| </layer> | |
| <layer id="186" 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="17709724" size="512" /> | |
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| <layer id="187" name="Convert_259702" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="U8"> | |
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| <dim>1</dim> | |
| <dim>1</dim> | |
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| </input> | |
| <output> | |
| <port id="1" precision="FP16"> | |
| <dim>512</dim> | |
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| <dim>1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="188" 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> | |
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| <dim>3</dim> | |
| </port> | |
| <port id="1" precision="FP16"> | |
| <dim>512</dim> | |
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| <dim>1</dim> | |
| <dim>1</dim> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| <dim>3</dim> | |
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| </output> | |
| </layer> | |
| <layer id="189" 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="17710236" size="1024" /> | |
| <output> | |
| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
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| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="190" 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> | |
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| <dim>3</dim> | |
| </port> | |
| <port id="1" precision="FP16"> | |
| <dim>512</dim> | |
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| <dim>1</dim> | |
| <dim>1</dim> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="191" 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="192" 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="193" 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="17711260" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>512</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="194" 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> | |
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| <dim>-1</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>512</dim> | |
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| <dim>1</dim> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="232,input.39"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
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| <dim>-1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="195" name="self.decoder.up_blocks.0.resnets.1.norm2.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="17713308" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.1.norm2.weight"> | |
| <dim>512</dim> | |
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| </output> | |
| </layer> | |
| <layer id="196" name="self.decoder.up_blocks.0.resnets.1.norm2.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="17715356" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.1.norm2.bias"> | |
| <dim>512</dim> | |
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| </output> | |
| </layer> | |
| <layer id="197" name="__module.decoder.up_blocks.0.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
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| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
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| <port id="2" precision="FP32"> | |
| <dim>512</dim> | |
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| </input> | |
| <output> | |
| <port id="3" precision="FP32" names="235,input.41"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
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| <dim>-1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="198" 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> | |
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| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP32" names="236,input.43"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
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| <dim>-1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="199" name="self.decoder.up_blocks.0.resnets.1.conv2.weight" type="Const" version="opset1"> | |
| <data element_type="u8" shape="512, 512, 3, 3" offset="17717404" size="2359296" /> | |
| <output> | |
| <port id="0" precision="U8"> | |
| <dim>512</dim> | |
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| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="200" name="Convert_259710" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="U8"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| <dim>3</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| <dim>3</dim> | |
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| </output> | |
| </layer> | |
| <layer id="201" 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="20076700" size="512" /> | |
| <output> | |
| <port id="0" precision="U8"> | |
| <dim>512</dim> | |
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| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="202" name="Convert_259713" 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="203" 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="204" 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="20077212" size="1024" /> | |
| <output> | |
| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
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| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="205" 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="206" 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="207" 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="208" 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="20078236" 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="209" 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="244,hidden_states.21"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="210" name="__module.decoder.up_blocks.0.resnets.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> | |
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| <dim>-1</dim> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="245,246,input.45"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
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| <dim>-1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="211" name="self.decoder.up_blocks.0.resnets.2.norm1.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="20080284" size="2048" /> | |
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| <port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.2.norm1.weight"> | |
| <dim>512</dim> | |
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| <layer id="212" name="self.decoder.up_blocks.0.resnets.2.norm1.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="20082332" size="2048" /> | |
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| <port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.2.norm1.bias"> | |
| <dim>512</dim> | |
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| </output> | |
| </layer> | |
| <layer id="213" name="__module.decoder.up_blocks.0.resnets.2.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
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| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32"> | |
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| <port id="2" precision="FP32"> | |
| <dim>512</dim> | |
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| <output> | |
| <port id="3" precision="FP32" names="254,input.47"> | |
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| <layer id="214" 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> | |
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| </input> | |
| <output> | |
| <port id="1" precision="FP32" names="255"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="215" name="self.decoder.up_blocks.0.resnets.2.conv1.weight" type="Const" version="opset1"> | |
| <data element_type="u8" shape="512, 512, 3, 3" offset="20084380" size="2359296" /> | |
| <output> | |
| <port id="0" precision="U8"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| <dim>3</dim> | |
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| </output> | |
| </layer> | |
| <layer id="216" name="Convert_259721" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="U8"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| </input> | |
| <output> | |
| <port id="1" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| <dim>3</dim> | |
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| </output> | |
| </layer> | |
| <layer id="217" 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="22443676" size="512" /> | |
| <output> | |
| <port id="0" precision="U8"> | |
| <dim>512</dim> | |
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| <dim>1</dim> | |
| <dim>1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="218" name="Convert_259724" 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> | |
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| </input> | |
| <output> | |
| <port id="1" precision="FP16"> | |
| <dim>512</dim> | |
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| <dim>1</dim> | |
| <dim>1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="219" 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="220" 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="22444188" 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.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="222" 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="223" 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="224" 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="22445212" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>512</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="225" name="__module.decoder.up_blocks.0.resnets.2.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="262,input.49"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="226" name="self.decoder.up_blocks.0.resnets.2.norm2.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="22447260" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.2.norm2.weight"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="227" name="self.decoder.up_blocks.0.resnets.2.norm2.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="22449308" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.2.norm2.bias"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="228" name="__module.decoder.up_blocks.0.resnets.2.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
| <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> | |
| </port> | |
| <port id="2" precision="FP32"> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="3" precision="FP32" names="265,input.51"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="229" 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="266,input.53"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="230" name="self.decoder.up_blocks.0.resnets.2.conv2.weight" type="Const" version="opset1"> | |
| <data element_type="u8" shape="512, 512, 3, 3" offset="22451356" 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="231" name="Convert_259732" 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="232" 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="24810652" 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="233" name="Convert_259735" 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="234" 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="235" 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="24811164" 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="236" 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="237" 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="238" 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="239" 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="24812188" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>512</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="240" name="__module.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="274,hidden_states.23"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="241" 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="275,276,hidden_states.25"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="242" name="__module.decoder.up_blocks.0.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1"> | |
| <data element_type="f32" shape="2" offset="24814236" size="8" /> | |
| <output> | |
| <port id="0" precision="FP32"> | |
| <dim>2</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="243" name="Constant_183514" type="Const" version="opset1"> | |
| <data element_type="i32" shape="2" offset="24814244" size="8" /> | |
| <output> | |
| <port id="0" precision="I32"> | |
| <dim>2</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="244" 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> | |
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| <dim>-1</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>2</dim> | |
| </port> | |
| <port id="2" precision="I32"> | |
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| <layer id="245" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight" type="Const" version="opset1"> | |
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| <layer id="246" name="Convert_259743" type="Convert" version="opset1"> | |
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| <layer id="247" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight/zero_point" type="Const" version="opset1"> | |
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| <layer id="248" name="Convert_259746" type="Convert" version="opset1"> | |
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| <output> | |
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| <layer id="249" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight/zero_point/subtract" type="Subtract" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
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| <port id="0" precision="FP16"> | |
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| <port id="1" precision="FP16"> | |
| <dim>512</dim> | |
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| <dim>1</dim> | |
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| <output> | |
| <port id="2" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| <layer id="250" 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="27174060" size="1024" /> | |
| <output> | |
| <port id="0" precision="FP16"> | |
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| <dim>1</dim> | |
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| </layer> | |
| <layer id="251" 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> | |
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| </port> | |
| <port id="1" precision="FP16"> | |
| <dim>512</dim> | |
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| <dim>1</dim> | |
| <dim>1</dim> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| <dim>3</dim> | |
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| </output> | |
| </layer> | |
| <layer id="252" 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> | |
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| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| <dim>3</dim> | |
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| </output> | |
| </layer> | |
| <layer id="253" 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> | |
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| </output> | |
| </layer> | |
| <layer id="254" 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="27175084" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>512</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="255" 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> | |
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| <dim>-1</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>512</dim> | |
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| <dim>1</dim> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="286,input.55"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="256" name="self.decoder.up_blocks.1.resnets.0.norm1.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="27177132" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.0.norm1.weight"> | |
| <dim>512</dim> | |
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| </output> | |
| </layer> | |
| <layer id="257" name="self.decoder.up_blocks.1.resnets.0.norm1.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="27179180" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.0.norm1.bias"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="258" name="__module.decoder.up_blocks.1.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
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| <dim>-1</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| </port> | |
| <port id="2" precision="FP32"> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="3" precision="FP32" names="302,input.57"> | |
| <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_10" type="Swish" version="opset4"> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
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| <dim>-1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP32" names="303"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="260" name="self.decoder.up_blocks.1.resnets.0.conv1.weight" type="Const" version="opset1"> | |
| <data element_type="u8" shape="512, 512, 3, 3" offset="27181228" size="2359296" /> | |
| <output> | |
| <port id="0" precision="U8"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="261" name="Convert_259754" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="U8"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| <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.1.resnets.0.conv1.weight/zero_point" type="Const" version="opset1"> | |
| <data element_type="u8" shape="512, 1, 1, 1" offset="29540524" size="512" /> | |
| <output> | |
| <port id="0" precision="U8"> | |
| <dim>512</dim> | |
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| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="263" name="Convert_259757" 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.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="265" 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="29541036" 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.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="267" 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="268" 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="269" 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="29542060" 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.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="310,input.59"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="271" name="self.decoder.up_blocks.1.resnets.0.norm2.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="29544108" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.0.norm2.weight"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="272" name="self.decoder.up_blocks.1.resnets.0.norm2.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="29546156" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.0.norm2.bias"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="273" name="__module.decoder.up_blocks.1.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
| <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> | |
| </port> | |
| <port id="2" precision="FP32"> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="3" precision="FP32" names="313,input.61"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="274" 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="314,input.63"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="275" name="self.decoder.up_blocks.1.resnets.0.conv2.weight" type="Const" version="opset1"> | |
| <data element_type="u8" shape="512, 512, 3, 3" offset="29548204" 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="276" name="Convert_259765" 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="277" 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="31907500" 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="278" name="Convert_259768" 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> | |
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| <layer id="279" name="self.decoder.up_blocks.1.resnets.0.conv2.weight/zero_point/subtract" type="Subtract" version="opset1"> | |
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| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| </port> | |
| <port id="1" precision="FP16"> | |
| <dim>512</dim> | |
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| <dim>1</dim> | |
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| <output> | |
| <port id="2" precision="FP16"> | |
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| <dim>512</dim> | |
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| <dim>3</dim> | |
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| </layer> | |
| <layer id="280" name="self.decoder.up_blocks.1.resnets.0.conv2.weight/scale" type="Const" version="opset1"> | |
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| </layer> | |
| <layer id="281" name="self.decoder.up_blocks.1.resnets.0.conv2.weight/fq_weights_1" type="Multiply" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
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| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| <dim>3</dim> | |
| </port> | |
| <port id="1" precision="FP16"> | |
| <dim>512</dim> | |
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| <dim>1</dim> | |
| <dim>1</dim> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| <dim>3</dim> | |
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| </output> | |
| </layer> | |
| <layer id="282" 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> | |
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| <dim>3</dim> | |
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| </output> | |
| </layer> | |
| <layer id="283" name="__module.decoder.up_blocks.1.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
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| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP32"> | |
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| </output> | |
| </layer> | |
| <layer id="284" 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="31909036" size="2048" /> | |
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| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>512</dim> | |
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| </output> | |
| </layer> | |
| <layer id="285" 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> | |
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| <dim>-1</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>512</dim> | |
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| <dim>1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="322,hidden_states.27"> | |
| <dim>-1</dim> | |
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| <dim>-1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="286" 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> | |
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| <port id="1" precision="FP32"> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="323,324,input.65"> | |
| <dim>-1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="287" name="self.decoder.up_blocks.1.resnets.1.norm1.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="31911084" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.1.norm1.weight"> | |
| <dim>512</dim> | |
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| </layer> | |
| <layer id="288" name="self.decoder.up_blocks.1.resnets.1.norm1.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="31913132" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.1.norm1.bias"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="289" name="__module.decoder.up_blocks.1.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
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| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| </port> | |
| <port id="2" precision="FP32"> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="3" precision="FP32" names="332,input.67"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
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| <dim>-1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="290" 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> | |
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| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP32" names="333"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="291" name="self.decoder.up_blocks.1.resnets.1.conv1.weight" type="Const" version="opset1"> | |
| <data element_type="u8" shape="512, 512, 3, 3" offset="31915180" size="2359296" /> | |
| <output> | |
| <port id="0" precision="U8"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="292" name="Convert_259776" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="U8"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="293" 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="34274476" size="512" /> | |
| <output> | |
| <port id="0" precision="U8"> | |
| <dim>512</dim> | |
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| <dim>1</dim> | |
| <dim>1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="294" name="Convert_259779" 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="295" 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="296" 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="34274988" 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="297" 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="298" 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="299" 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="300" 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="34276012" 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.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="340,input.69"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="302" name="self.decoder.up_blocks.1.resnets.1.norm2.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="34278060" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.1.norm2.weight"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="303" name="self.decoder.up_blocks.1.resnets.1.norm2.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="34280108" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.1.norm2.bias"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="304" name="__module.decoder.up_blocks.1.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
| <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> | |
| </port> | |
| <port id="2" precision="FP32"> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="3" precision="FP32" names="343,input.71"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="305" 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="344,input.73"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="306" name="self.decoder.up_blocks.1.resnets.1.conv2.weight" type="Const" version="opset1"> | |
| <data element_type="u8" shape="512, 512, 3, 3" offset="34282156" 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="307" name="Convert_259787" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="U8"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| <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="308" 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="36641452" size="512" /> | |
| <output> | |
| <port id="0" precision="U8"> | |
| <dim>512</dim> | |
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| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="309" name="Convert_259790" 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="310" 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> | |
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| <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="311" 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="36641964" size="1024" /> | |
| <output> | |
| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
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| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="312" 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> | |
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| <port id="1" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
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| <output> | |
| <port id="2" precision="FP16"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| <dim>3</dim> | |
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| </output> | |
| </layer> | |
| <layer id="313" 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> | |
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| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| <dim>3</dim> | |
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| </output> | |
| </layer> | |
| <layer id="314" 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" /> | |
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| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
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| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
| <dim>3</dim> | |
| <dim>3</dim> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
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| <dim>-1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="315" 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="36642988" size="2048" /> | |
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| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>512</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="316" 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> | |
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| <dim>-1</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>512</dim> | |
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| <dim>1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="352,hidden_states.29"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
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| <dim>-1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="317" 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> | |
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| <port id="1" precision="FP32"> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="353,354,input.75"> | |
| <dim>-1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="318" name="self.decoder.up_blocks.1.resnets.2.norm1.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="36645036" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.2.norm1.weight"> | |
| <dim>512</dim> | |
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| </output> | |
| </layer> | |
| <layer id="319" name="self.decoder.up_blocks.1.resnets.2.norm1.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="36647084" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.2.norm1.bias"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="320" name="__module.decoder.up_blocks.1.resnets.2.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
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| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>512</dim> | |
| </port> | |
| <port id="2" precision="FP32"> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="3" precision="FP32" names="362,input.77"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
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| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="321" 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> | |
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| <dim>-1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP32" names="363"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="322" name="self.decoder.up_blocks.1.resnets.2.conv1.weight" type="Const" version="opset1"> | |
| <data element_type="u8" shape="512, 512, 3, 3" offset="36649132" 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="323" name="Convert_259798" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="U8"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| <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="324" 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="39008428" size="512" /> | |
| <output> | |
| <port id="0" precision="U8"> | |
| <dim>512</dim> | |
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| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="325" name="Convert_259801" 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="326" 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="327" 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="39008940" 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="328" 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="329" 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="330" 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="331" 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="39009964" 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="332" 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="370,input.79"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="333" name="self.decoder.up_blocks.1.resnets.2.norm2.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="39012012" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.2.norm2.weight"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="334" name="self.decoder.up_blocks.1.resnets.2.norm2.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="39014060" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.2.norm2.bias"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="335" name="__module.decoder.up_blocks.1.resnets.2.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
| <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> | |
| </port> | |
| <port id="2" precision="FP32"> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="3" precision="FP32" names="373,input.81"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="336" 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="374,input.83"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="337" name="self.decoder.up_blocks.1.resnets.2.conv2.weight" type="Const" version="opset1"> | |
| <data element_type="u8" shape="512, 512, 3, 3" offset="39016108" 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="338" name="Convert_259809" 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="339" 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="41375404" size="512" /> | |
| <output> | |
| <port id="0" precision="U8"> | |
| <dim>512</dim> | |
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| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="340" name="Convert_259812" 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="341" 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="342" 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="41375916" size="1024" /> | |
| <output> | |
| <port id="0" precision="FP16"> | |
| <dim>512</dim> | |
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| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="343" 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="344" 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="345" 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="346" 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="41376940" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>512</dim> | |
| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="347" name="__module.decoder.up_blocks.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="382,hidden_states.31"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="348" 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> | |
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| </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="383,384,hidden_states.33"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="349" name="__module.decoder.up_blocks.1.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1"> | |
| <data element_type="f32" shape="2" offset="24814236" size="8" /> | |
| <output> | |
| <port id="0" precision="FP32"> | |
| <dim>2</dim> | |
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| </output> | |
| </layer> | |
| <layer id="350" name="Constant_183951" type="Const" version="opset1"> | |
| <data element_type="i32" shape="2" offset="24814244" size="8" /> | |
| <output> | |
| <port id="0" precision="I32"> | |
| <dim>2</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="351" 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> | |
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| </port> | |
| <port id="1" precision="FP32"> | |
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| </port> | |
| <port id="2" precision="I32"> | |
| <dim>2</dim> | |
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| </input> | |
| <output> | |
| <port id="3" precision="FP32" names="387"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="352" name="self.decoder.up_blocks.1.upsamplers.0.conv.weight" type="Const" version="opset1"> | |
| <data element_type="u8" shape="512, 512, 3, 3" offset="41378988" size="2359296" /> | |
| <output> | |
| <port id="0" precision="U8"> | |
| <dim>512</dim> | |
| <dim>512</dim> | |
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| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="353" name="Convert_259820" 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="354" 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="43738284" 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="355" name="Convert_259823" 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="356" 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="357" 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="43738796" 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="358" 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="359" 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="360" 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="361" 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="43739820" 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.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="394,input.85"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="363" 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="43741868" 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="364" name="Convert_260018" 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="365" 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="43872940" 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="366" name="Convert_260021" 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="367" 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="368" 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="43873196" 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="369" 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="370" 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="371" 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="372" 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="43873708" 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="373" 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="438,input_tensor.1"> | |
| <dim>-1</dim> | |
| <dim>256</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="374" name="self.decoder.up_blocks.2.resnets.0.norm1.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="43874732" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.up_blocks.2.resnets.0.norm1.weight"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="375" name="self.decoder.up_blocks.2.resnets.0.norm1.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="512" offset="43876780" size="2048" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.up_blocks.2.resnets.0.norm1.bias"> | |
| <dim>512</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="376" name="__module.decoder.up_blocks.2.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
| <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> | |
| </port> | |
| <port id="2" precision="FP32"> | |
| <dim>512</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="3" precision="FP32" names="411,input.87"> | |
| <dim>-1</dim> | |
| <dim>512</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="377" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_16" type="Swish" version="opset4"> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
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| <layer id="380" name="self.decoder.up_blocks.2.resnets.0.conv1.weight/zero_point" type="Const" version="opset1"> | |
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| <layer id="381" name="Convert_259834" type="Convert" version="opset1"> | |
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| <layer id="382" name="self.decoder.up_blocks.2.resnets.0.conv1.weight/zero_point/subtract" type="Subtract" version="opset1"> | |
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| <layer id="383" name="self.decoder.up_blocks.2.resnets.0.conv1.weight/scale" type="Const" version="opset1"> | |
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| <layer id="384" name="self.decoder.up_blocks.2.resnets.0.conv1.weight/fq_weights_1" type="Multiply" version="opset1"> | |
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| <port id="1" precision="FP16"> | |
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| <layer id="385" name="self.decoder.up_blocks.2.resnets.0.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
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| <output> | |
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| <layer id="386" name="__module.decoder.up_blocks.2.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32"> | |
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| <layer id="387" 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="45059244" size="1024" /> | |
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| <layer id="388" name="__module.decoder.up_blocks.2.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
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| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32"> | |
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| <dim>256</dim> | |
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| <output> | |
| <port id="2" precision="FP32" names="419,input.89"> | |
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| <layer id="389" name="self.decoder.up_blocks.2.resnets.0.norm2.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="256" offset="45060268" size="1024" /> | |
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| <port id="0" precision="FP32" names="self.decoder.up_blocks.2.resnets.0.norm2.weight"> | |
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| <layer id="390" name="self.decoder.up_blocks.2.resnets.0.norm2.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="256" offset="45061292" size="1024" /> | |
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| <port id="0" precision="FP32" names="self.decoder.up_blocks.2.resnets.0.norm2.bias"> | |
| <dim>256</dim> | |
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| </layer> | |
| <layer id="391" name="__module.decoder.up_blocks.2.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
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| <port id="1" precision="FP32"> | |
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| <port id="2" precision="FP32"> | |
| <dim>256</dim> | |
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| <output> | |
| <port id="3" precision="FP32" names="422,input.91"> | |
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| <layer id="392" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_17" type="Swish" version="opset4"> | |
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| <port id="0" precision="FP32"> | |
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| <output> | |
| <port id="1" precision="FP32" names="423,input.93"> | |
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| <layer id="393" name="self.decoder.up_blocks.2.resnets.0.conv2.weight" type="Const" version="opset1"> | |
| <data element_type="u8" shape="256, 256, 3, 3" offset="45062316" size="589824" /> | |
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| <layer id="394" name="Convert_259842" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
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| <port id="0" precision="U8"> | |
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| </input> | |
| <output> | |
| <port id="1" precision="FP16"> | |
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| </output> | |
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| <layer id="395" 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="45652140" size="256" /> | |
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| <port id="0" precision="U8"> | |
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| <layer id="396" name="Convert_259845" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="U8"> | |
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| </input> | |
| <output> | |
| <port id="1" precision="FP16"> | |
| <dim>256</dim> | |
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| </output> | |
| </layer> | |
| <layer id="397" 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> | |
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| <port id="1" precision="FP16"> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP16"> | |
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| </output> | |
| </layer> | |
| <layer id="398" 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="45652396" size="512" /> | |
| <output> | |
| <port id="0" precision="FP16"> | |
| <dim>256</dim> | |
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| <dim>1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="399" 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> | |
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| </port> | |
| <port id="1" precision="FP16"> | |
| <dim>256</dim> | |
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| <dim>1</dim> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP16"> | |
| <dim>256</dim> | |
| <dim>256</dim> | |
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| <dim>3</dim> | |
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| </output> | |
| </layer> | |
| <layer id="400" 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> | |
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| <dim>3</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP32"> | |
| <dim>256</dim> | |
| <dim>256</dim> | |
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| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="401" 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> | |
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| <dim>-1</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>256</dim> | |
| <dim>256</dim> | |
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| <dim>3</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>256</dim> | |
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| <dim>-1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="402" 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="45652908" size="1024" /> | |
| <output> | |
| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
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| <dim>1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="403" 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> | |
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| <dim>-1</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>256</dim> | |
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| <dim>1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="431,hidden_states.35"> | |
| <dim>-1</dim> | |
| <dim>256</dim> | |
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| <dim>-1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="404" 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> | |
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| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>-1</dim> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="439,440,input.95"> | |
| <dim>-1</dim> | |
| <dim>256</dim> | |
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| <dim>-1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="405" name="self.decoder.up_blocks.2.resnets.1.norm1.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="256" offset="45653932" size="1024" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.up_blocks.2.resnets.1.norm1.weight"> | |
| <dim>256</dim> | |
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| </output> | |
| </layer> | |
| <layer id="406" name="self.decoder.up_blocks.2.resnets.1.norm1.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="256" offset="45654956" size="1024" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.up_blocks.2.resnets.1.norm1.bias"> | |
| <dim>256</dim> | |
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| </output> | |
| </layer> | |
| <layer id="407" name="__module.decoder.up_blocks.2.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
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| <port id="1" precision="FP32"> | |
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| </port> | |
| <port id="2" precision="FP32"> | |
| <dim>256</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="3" precision="FP32" names="448,input.97"> | |
| <dim>-1</dim> | |
| <dim>256</dim> | |
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| <layer id="408" 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> | |
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| </input> | |
| <output> | |
| <port id="1" precision="FP32" names="449"> | |
| <dim>-1</dim> | |
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| <dim>-1</dim> | |
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| </layer> | |
| <layer id="409" name="self.decoder.up_blocks.2.resnets.1.conv1.weight" type="Const" version="opset1"> | |
| <data element_type="u8" shape="256, 256, 3, 3" offset="45655980" size="589824" /> | |
| <output> | |
| <port id="0" precision="U8"> | |
| <dim>256</dim> | |
| <dim>256</dim> | |
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| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="410" name="Convert_259853" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="U8"> | |
| <dim>256</dim> | |
| <dim>256</dim> | |
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| <dim>3</dim> | |
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| </input> | |
| <output> | |
| <port id="1" precision="FP16"> | |
| <dim>256</dim> | |
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| <layer id="413" name="self.decoder.up_blocks.2.resnets.1.conv1.weight/zero_point/subtract" type="Subtract" version="opset1"> | |
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| <port id="1" precision="FP16"> | |
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| <layer id="414" name="self.decoder.up_blocks.2.resnets.1.conv1.weight/scale" type="Const" version="opset1"> | |
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| <layer id="415" name="self.decoder.up_blocks.2.resnets.1.conv1.weight/fq_weights_1" type="Multiply" version="opset1"> | |
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| <port id="1" precision="FP16"> | |
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| <layer id="416" name="self.decoder.up_blocks.2.resnets.1.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
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| <layer id="417" name="__module.decoder.up_blocks.2.resnets.1.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <layer id="418" name="__module.decoder.up_blocks.2.resnets.1.conv1/aten::_convolution/Reshape" type="Const" version="opset1"> | |
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| <layer id="419" name="__module.decoder.up_blocks.2.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1"> | |
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| <port id="1" precision="FP32"> | |
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| <layer id="420" name="self.decoder.up_blocks.2.resnets.1.norm2.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="256" offset="46247596" size="1024" /> | |
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| <layer id="421" name="self.decoder.up_blocks.2.resnets.1.norm2.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="256" offset="46248620" size="1024" /> | |
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| <layer id="422" name="__module.decoder.up_blocks.2.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
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| <layer id="423" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_19" type="Swish" version="opset4"> | |
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| <layer id="424" name="self.decoder.up_blocks.2.resnets.1.conv2.weight" type="Const" version="opset1"> | |
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| <layer id="425" name="Convert_259864" type="Convert" version="opset1"> | |
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| <layer id="426" 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="46839468" size="256" /> | |
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| <layer id="427" name="Convert_259867" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
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| <port id="0" precision="U8"> | |
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| </input> | |
| <output> | |
| <port id="1" precision="FP16"> | |
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| </output> | |
| </layer> | |
| <layer id="428" 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"> | |
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| <port id="1" precision="FP16"> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP16"> | |
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| </output> | |
| </layer> | |
| <layer id="429" 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="46839724" size="512" /> | |
| <output> | |
| <port id="0" precision="FP16"> | |
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| </output> | |
| </layer> | |
| <layer id="430" 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"> | |
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| </port> | |
| <port id="1" precision="FP16"> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP16"> | |
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| <dim>256</dim> | |
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| </output> | |
| </layer> | |
| <layer id="431" 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"> | |
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| </input> | |
| <output> | |
| <port id="1" precision="FP32"> | |
| <dim>256</dim> | |
| <dim>256</dim> | |
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| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="432" 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> | |
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| </port> | |
| <port id="1" precision="FP32"> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>256</dim> | |
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| </output> | |
| </layer> | |
| <layer id="433" 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="46840236" size="1024" /> | |
| <output> | |
| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
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| <dim>1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="434" 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> | |
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| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>256</dim> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="468,hidden_states.37"> | |
| <dim>-1</dim> | |
| <dim>256</dim> | |
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| </output> | |
| </layer> | |
| <layer id="435" 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"> | |
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| <port id="1" precision="FP32"> | |
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| <output> | |
| <port id="2" precision="FP32" names="469,470,input.105"> | |
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| </layer> | |
| <layer id="436" name="self.decoder.up_blocks.2.resnets.2.norm1.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="256" offset="46841260" size="1024" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.up_blocks.2.resnets.2.norm1.weight"> | |
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| <layer id="437" name="self.decoder.up_blocks.2.resnets.2.norm1.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="256" offset="46842284" size="1024" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.up_blocks.2.resnets.2.norm1.bias"> | |
| <dim>256</dim> | |
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| </output> | |
| </layer> | |
| <layer id="438" name="__module.decoder.up_blocks.2.resnets.2.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32"> | |
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| <port id="2" precision="FP32"> | |
| <dim>256</dim> | |
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| </input> | |
| <output> | |
| <port id="3" precision="FP32" names="478,input.107"> | |
| <dim>-1</dim> | |
| <dim>256</dim> | |
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| <layer id="439" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_20" type="Swish" version="opset4"> | |
| <input> | |
| <port id="0" precision="FP32"> | |
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| <output> | |
| <port id="1" precision="FP32" names="479"> | |
| <dim>-1</dim> | |
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| </layer> | |
| <layer id="440" name="self.decoder.up_blocks.2.resnets.2.conv1.weight" type="Const" version="opset1"> | |
| <data element_type="u8" shape="256, 256, 3, 3" offset="46843308" size="589824" /> | |
| <output> | |
| <port id="0" precision="U8"> | |
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| <dim>3</dim> | |
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| <layer id="441" name="Convert_259875" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="U8"> | |
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| <output> | |
| <port id="1" precision="FP16"> | |
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| <layer id="442" 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="47433132" size="256" /> | |
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| <port id="0" precision="U8"> | |
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| <layer id="443" name="Convert_259878" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="U8"> | |
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| <output> | |
| <port id="1" precision="FP16"> | |
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| </layer> | |
| <layer id="444" 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"> | |
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| <dim>256</dim> | |
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| <output> | |
| <port id="2" precision="FP16"> | |
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| <layer id="445" name="self.decoder.up_blocks.2.resnets.2.conv1.weight/scale" type="Const" version="opset1"> | |
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| <layer id="446" name="self.decoder.up_blocks.2.resnets.2.conv1.weight/fq_weights_1" type="Multiply" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
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| <port id="1" precision="FP16"> | |
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| <output> | |
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| <dim>256</dim> | |
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| </output> | |
| </layer> | |
| <layer id="447" name="self.decoder.up_blocks.2.resnets.2.conv1.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
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| <port id="0" precision="FP16"> | |
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| <output> | |
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| <dim>256</dim> | |
| <dim>256</dim> | |
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| <layer id="448" name="__module.decoder.up_blocks.2.resnets.2.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32"> | |
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| <output> | |
| <port id="2" precision="FP32"> | |
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| <layer id="449" 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="47433900" size="1024" /> | |
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| <layer id="450" name="__module.decoder.up_blocks.2.resnets.2.conv1/aten::_convolution/Add" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
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| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32"> | |
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| <output> | |
| <port id="2" precision="FP32" names="486,input.109"> | |
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| <layer id="451" name="self.decoder.up_blocks.2.resnets.2.norm2.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="256" offset="47434924" size="1024" /> | |
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| <port id="0" precision="FP32" names="self.decoder.up_blocks.2.resnets.2.norm2.weight"> | |
| <dim>256</dim> | |
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| <layer id="452" name="self.decoder.up_blocks.2.resnets.2.norm2.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="256" offset="47435948" size="1024" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.up_blocks.2.resnets.2.norm2.bias"> | |
| <dim>256</dim> | |
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| </layer> | |
| <layer id="453" name="__module.decoder.up_blocks.2.resnets.2.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
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| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32"> | |
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| <port id="2" precision="FP32"> | |
| <dim>256</dim> | |
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| <output> | |
| <port id="3" precision="FP32" names="489,input.111"> | |
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| <dim>256</dim> | |
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| </layer> | |
| <layer id="454" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_21" type="Swish" version="opset4"> | |
| <input> | |
| <port id="0" precision="FP32"> | |
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| <dim>256</dim> | |
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| <output> | |
| <port id="1" precision="FP32" names="490,input.113"> | |
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| <dim>256</dim> | |
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| </layer> | |
| <layer id="455" name="self.decoder.up_blocks.2.resnets.2.conv2.weight" type="Const" version="opset1"> | |
| <data element_type="u8" shape="256, 256, 3, 3" offset="47436972" size="589824" /> | |
| <output> | |
| <port id="0" precision="U8"> | |
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| </layer> | |
| <layer id="456" name="Convert_259886" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="U8"> | |
| <dim>256</dim> | |
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| </input> | |
| <output> | |
| <port id="1" precision="FP16"> | |
| <dim>256</dim> | |
| <dim>256</dim> | |
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| </output> | |
| </layer> | |
| <layer id="457" 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="48026796" size="256" /> | |
| <output> | |
| <port id="0" precision="U8"> | |
| <dim>256</dim> | |
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| <dim>1</dim> | |
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| </layer> | |
| <layer id="458" name="Convert_259889" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="U8"> | |
| <dim>256</dim> | |
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| </input> | |
| <output> | |
| <port id="1" precision="FP16"> | |
| <dim>256</dim> | |
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| <dim>1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="459" 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> | |
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| </port> | |
| <port id="1" precision="FP16"> | |
| <dim>256</dim> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP16"> | |
| <dim>256</dim> | |
| <dim>256</dim> | |
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| </output> | |
| </layer> | |
| <layer id="460" 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="48027052" size="512" /> | |
| <output> | |
| <port id="0" precision="FP16"> | |
| <dim>256</dim> | |
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| <dim>1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="461" 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> | |
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| </port> | |
| <port id="1" precision="FP16"> | |
| <dim>256</dim> | |
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| <dim>1</dim> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP16"> | |
| <dim>256</dim> | |
| <dim>256</dim> | |
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| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="462" 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> | |
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| <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="463" 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="464" 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="48027564" 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="465" 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> | |
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| <dim>1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="498,hidden_states.39"> | |
| <dim>-1</dim> | |
| <dim>256</dim> | |
| <dim>-1</dim> | |
| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="466" 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> | |
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| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>256</dim> | |
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| <dim>-1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="499,500,hidden_states.41"> | |
| <dim>-1</dim> | |
| <dim>256</dim> | |
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| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="467" name="__module.decoder.up_blocks.2.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1"> | |
| <data element_type="f32" shape="2" offset="24814236" size="8" /> | |
| <output> | |
| <port id="0" precision="FP32"> | |
| <dim>2</dim> | |
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| </layer> | |
| <layer id="468" name="Constant_184432" type="Const" version="opset1"> | |
| <data element_type="i32" shape="2" offset="24814244" size="8" /> | |
| <output> | |
| <port id="0" precision="I32"> | |
| <dim>2</dim> | |
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| </output> | |
| </layer> | |
| <layer id="469" 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"> | |
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| <port id="1" precision="FP32"> | |
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| <port id="2" precision="I32"> | |
| <dim>2</dim> | |
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| </input> | |
| <output> | |
| <port id="3" precision="FP32" names="503"> | |
| <dim>-1</dim> | |
| <dim>256</dim> | |
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| <layer id="470" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight" type="Const" version="opset1"> | |
| <data element_type="u8" shape="256, 256, 3, 3" offset="48028588" size="589824" /> | |
| <output> | |
| <port id="0" precision="U8"> | |
| <dim>256</dim> | |
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| <layer id="471" name="Convert_259897" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="U8"> | |
| <dim>256</dim> | |
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| </input> | |
| <output> | |
| <port id="1" precision="FP16"> | |
| <dim>256</dim> | |
| <dim>256</dim> | |
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| <dim>3</dim> | |
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| </output> | |
| </layer> | |
| <layer id="472" 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="48618412" size="256" /> | |
| <output> | |
| <port id="0" precision="U8"> | |
| <dim>256</dim> | |
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| </layer> | |
| <layer id="473" name="Convert_259900" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="U8"> | |
| <dim>256</dim> | |
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| <dim>1</dim> | |
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| </input> | |
| <output> | |
| <port id="1" precision="FP16"> | |
| <dim>256</dim> | |
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| </output> | |
| </layer> | |
| <layer id="474" 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> | |
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| <port id="1" precision="FP16"> | |
| <dim>256</dim> | |
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| <dim>1</dim> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP16"> | |
| <dim>256</dim> | |
| <dim>256</dim> | |
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| <dim>3</dim> | |
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| </output> | |
| </layer> | |
| <layer id="475" 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="48618668" size="512" /> | |
| <output> | |
| <port id="0" precision="FP16"> | |
| <dim>256</dim> | |
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| <dim>1</dim> | |
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| </layer> | |
| <layer id="476" 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> | |
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| <port id="1" precision="FP16"> | |
| <dim>256</dim> | |
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| <dim>1</dim> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP16"> | |
| <dim>256</dim> | |
| <dim>256</dim> | |
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| <dim>3</dim> | |
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| </output> | |
| </layer> | |
| <layer id="477" 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"> | |
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| <layer id="478" name="__module.decoder.up_blocks.2.upsamplers.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <layer id="479" name="__module.decoder.up_blocks.2.upsamplers.0.conv/aten::_convolution/Reshape" type="Const" version="opset1"> | |
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| <layer id="480" name="__module.decoder.up_blocks.2.upsamplers.0.conv/aten::_convolution/Add" type="Add" version="opset1"> | |
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| <port id="1" precision="FP32"> | |
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| <layer id="481" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight" type="Const" version="opset1"> | |
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| <layer id="482" name="Convert_260040" type="Convert" version="opset1"> | |
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| <layer id="483" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight/zero_point" type="Const" version="opset1"> | |
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| <layer id="484" name="Convert_260043" type="Convert" version="opset1"> | |
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| </layer> | |
| <layer id="485" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight/zero_point/subtract" type="Subtract" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
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| <port id="1" precision="FP16"> | |
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| <layer id="486" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight/scale" type="Const" version="opset1"> | |
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| <layer id="487" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight/fq_weights_1" type="Multiply" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
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| <port id="0" precision="FP16"> | |
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| <port id="1" precision="FP16"> | |
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| <output> | |
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| </layer> | |
| <layer id="488" name="self.decoder.up_blocks.3.resnets.0.conv_shortcut.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
| <data destination_type="f32" /> | |
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| <port id="0" precision="FP16"> | |
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| <output> | |
| <port id="1" precision="FP32"> | |
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| </output> | |
| </layer> | |
| <layer id="489" 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> | |
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| <port id="1" precision="FP32"> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>128</dim> | |
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| </port> | |
| </output> | |
| </layer> | |
| <layer id="490" 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="48653356" size="512" /> | |
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| <port id="0" precision="FP32"> | |
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| </output> | |
| </layer> | |
| <layer id="491" 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"> | |
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| </port> | |
| <port id="1" precision="FP32"> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="552,input_tensor"> | |
| <dim>-1</dim> | |
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| <dim>-1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="492" name="self.decoder.up_blocks.3.resnets.0.norm1.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="256" offset="48653868" size="1024" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.up_blocks.3.resnets.0.norm1.weight"> | |
| <dim>256</dim> | |
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| <layer id="493" name="self.decoder.up_blocks.3.resnets.0.norm1.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="256" offset="48654892" size="1024" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.up_blocks.3.resnets.0.norm1.bias"> | |
| <dim>256</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="494" name="__module.decoder.up_blocks.3.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32"> | |
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| <port id="2" precision="FP32"> | |
| <dim>256</dim> | |
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| </input> | |
| <output> | |
| <port id="3" precision="FP32" names="525,input.117"> | |
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| <dim>256</dim> | |
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| <dim>-1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="495" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_22" type="Swish" version="opset4"> | |
| <input> | |
| <port id="0" precision="FP32"> | |
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| <dim>256</dim> | |
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| </input> | |
| <output> | |
| <port id="1" precision="FP32" names="526"> | |
| <dim>-1</dim> | |
| <dim>256</dim> | |
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| <dim>-1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="496" name="self.decoder.up_blocks.3.resnets.0.conv1.weight" type="Const" version="opset1"> | |
| <data element_type="u8" shape="128, 256, 3, 3" offset="48655916" size="294912" /> | |
| <output> | |
| <port id="0" precision="U8"> | |
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| </output> | |
| </layer> | |
| <layer id="497" name="Convert_259908" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="U8"> | |
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| </input> | |
| <output> | |
| <port id="1" precision="FP16"> | |
| <dim>128</dim> | |
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| </output> | |
| </layer> | |
| <layer id="498" 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="48950828" size="128" /> | |
| <output> | |
| <port id="0" precision="U8"> | |
| <dim>128</dim> | |
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| <dim>1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="499" name="Convert_259911" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="U8"> | |
| <dim>128</dim> | |
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| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="1" precision="FP16"> | |
| <dim>128</dim> | |
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| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="500" 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> | |
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| <dim>3</dim> | |
| </port> | |
| <port id="1" precision="FP16"> | |
| <dim>128</dim> | |
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| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP16"> | |
| <dim>128</dim> | |
| <dim>256</dim> | |
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| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="501" 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="48950956" size="256" /> | |
| <output> | |
| <port id="0" precision="FP16"> | |
| <dim>128</dim> | |
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| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="502" 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> | |
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| <dim>3</dim> | |
| </port> | |
| <port id="1" precision="FP16"> | |
| <dim>128</dim> | |
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| <dim>1</dim> | |
| <dim>1</dim> | |
| </port> | |
| </input> | |
| <output> | |
| <port id="2" precision="FP16"> | |
| <dim>128</dim> | |
| <dim>256</dim> | |
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| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="503" 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> | |
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| <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="504" 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> | |
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| <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="505" 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="48951212" size="512" /> | |
| <output> | |
| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>128</dim> | |
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| <dim>1</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="506" 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> | |
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| <dim>1</dim> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="533,input.119"> | |
| <dim>-1</dim> | |
| <dim>128</dim> | |
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| <dim>-1</dim> | |
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| </layer> | |
| <layer id="507" name="self.decoder.up_blocks.3.resnets.0.norm2.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="128" offset="48951724" size="512" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.up_blocks.3.resnets.0.norm2.weight"> | |
| <dim>128</dim> | |
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| </layer> | |
| <layer id="508" name="self.decoder.up_blocks.3.resnets.0.norm2.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="128" offset="48952236" size="512" /> | |
| <output> | |
| <port id="0" precision="FP32" names="self.decoder.up_blocks.3.resnets.0.norm2.bias"> | |
| <dim>128</dim> | |
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| </output> | |
| </layer> | |
| <layer id="509" name="__module.decoder.up_blocks.3.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
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| <dim>-1</dim> | |
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| <port id="1" precision="FP32"> | |
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| <port id="2" precision="FP32"> | |
| <dim>128</dim> | |
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| </input> | |
| <output> | |
| <port id="3" precision="FP32" names="536,input.121"> | |
| <dim>-1</dim> | |
| <dim>128</dim> | |
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| <dim>-1</dim> | |
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| <layer id="510" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_23" type="Swish" version="opset4"> | |
| <input> | |
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| <layer id="519" name="__module.decoder.up_blocks.3.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <layer id="521" name="__module.decoder.up_blocks.3.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1"> | |
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| <port id="1" precision="FP32"> | |
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| <layer id="522" name="__module.decoder.up_blocks.3.resnets.0/aten::add/Add" type="Add" version="opset1"> | |
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| <layer id="523" name="self.decoder.up_blocks.3.resnets.1.norm1.weight" type="Const" version="opset1"> | |
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| <layer id="524" name="self.decoder.up_blocks.3.resnets.1.norm1.bias" type="Const" version="opset1"> | |
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| <layer id="525" name="__module.decoder.up_blocks.3.resnets.1.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
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| <layer id="526" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_24" type="Swish" version="opset4"> | |
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| <port id="1" precision="FP32" names="563"> | |
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| <layer id="527" name="self.decoder.up_blocks.3.resnets.1.conv1.weight" type="Const" version="opset1"> | |
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| <layer id="528" name="Convert_259974" type="Convert" version="opset1"> | |
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| <layer id="529" name="self.decoder.up_blocks.3.resnets.1.conv1.weight/zero_point" type="Const" version="opset1"> | |
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| <layer id="530" name="Convert_259977" type="Convert" version="opset1"> | |
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| <output> | |
| <port id="1" precision="FP16"> | |
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| <layer id="531" name="self.decoder.up_blocks.3.resnets.1.conv1.weight/zero_point/subtract" type="Subtract" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
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| <port id="0" precision="FP16"> | |
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| <port id="1" precision="FP16"> | |
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| <port id="2" precision="FP16"> | |
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| <layer id="532" 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="49249708" size="256" /> | |
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| <port id="0" precision="FP16"> | |
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| <layer id="533" 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"> | |
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| <port id="1" precision="FP16"> | |
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| <output> | |
| <port id="2" precision="FP16"> | |
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| <layer id="534" 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"> | |
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| <output> | |
| <port id="1" precision="FP32"> | |
| <dim>128</dim> | |
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| </output> | |
| </layer> | |
| <layer id="535" 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> | |
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| <port id="1" precision="FP32"> | |
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| <output> | |
| <port id="2" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>128</dim> | |
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| <layer id="536" 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="49249964" size="512" /> | |
| <output> | |
| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="537" name="__module.decoder.up_blocks.3.resnets.1.conv1/aten::_convolution/Add" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
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| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
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| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>1</dim> | |
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| <output> | |
| <port id="2" precision="FP32" names="570,input.129"> | |
| <dim>-1</dim> | |
| <dim>128</dim> | |
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| <layer id="538" name="self.decoder.up_blocks.3.resnets.1.norm2.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="128" offset="49250476" size="512" /> | |
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| <port id="0" precision="FP32" names="self.decoder.up_blocks.3.resnets.1.norm2.weight"> | |
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| <layer id="539" name="self.decoder.up_blocks.3.resnets.1.norm2.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="128" offset="49250988" size="512" /> | |
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| <port id="0" precision="FP32" names="self.decoder.up_blocks.3.resnets.1.norm2.bias"> | |
| <dim>128</dim> | |
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| <layer id="540" name="__module.decoder.up_blocks.3.resnets.1.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
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| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32"> | |
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| <port id="2" precision="FP32"> | |
| <dim>128</dim> | |
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| <output> | |
| <port id="3" precision="FP32" names="573,input.131"> | |
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| <layer id="541" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_25" type="Swish" version="opset4"> | |
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| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32" names="574,input.133"> | |
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| <layer id="542" name="self.decoder.up_blocks.3.resnets.1.conv2.weight" type="Const" version="opset1"> | |
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| <layer id="543" name="Convert_259985" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="U8"> | |
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| <output> | |
| <port id="1" precision="FP16"> | |
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| <layer id="549" name="self.decoder.up_blocks.3.resnets.1.conv2.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
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| <layer id="550" name="__module.decoder.up_blocks.3.resnets.1.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1"> | |
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| <layer id="551" name="__module.decoder.up_blocks.3.resnets.1.conv2/aten::_convolution/Reshape" type="Const" version="opset1"> | |
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| <layer id="552" name="__module.decoder.up_blocks.3.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1"> | |
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| <port id="1" precision="FP32"> | |
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| <layer id="553" name="__module.decoder.up_blocks.3.resnets.1/aten::add/Add" type="Add" version="opset1"> | |
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| <layer id="554" name="self.decoder.up_blocks.3.resnets.2.norm1.weight" type="Const" version="opset1"> | |
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| <layer id="555" name="self.decoder.up_blocks.3.resnets.2.norm1.bias" type="Const" version="opset1"> | |
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| <dim>128</dim> | |
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| <layer id="556" name="__module.decoder.up_blocks.3.resnets.2.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
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| <layer id="557" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_26" type="Swish" version="opset4"> | |
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| <port id="1" precision="FP32" names="593"> | |
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| <layer id="558" name="self.decoder.up_blocks.3.resnets.2.conv1.weight" type="Const" version="opset1"> | |
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| <layer id="559" name="Convert_259996" type="Convert" version="opset1"> | |
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| <output> | |
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| <layer id="560" 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="49548332" size="128" /> | |
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| <layer id="561" name="Convert_259999" type="Convert" version="opset1"> | |
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| <port id="0" precision="U8"> | |
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| <output> | |
| <port id="1" precision="FP16"> | |
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| </output> | |
| </layer> | |
| <layer id="562" 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"> | |
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| <port id="1" precision="FP16"> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP16"> | |
| <dim>128</dim> | |
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| </layer> | |
| <layer id="563" 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="49548460" size="256" /> | |
| <output> | |
| <port id="0" precision="FP16"> | |
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| </output> | |
| </layer> | |
| <layer id="564" name="self.decoder.up_blocks.3.resnets.2.conv1.weight/fq_weights_1" type="Multiply" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
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| <port id="0" precision="FP16"> | |
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| <port id="1" precision="FP16"> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP16"> | |
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| </output> | |
| </layer> | |
| <layer id="565" 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"> | |
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| </input> | |
| <output> | |
| <port id="1" precision="FP32"> | |
| <dim>128</dim> | |
| <dim>128</dim> | |
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| <dim>3</dim> | |
| </port> | |
| </output> | |
| </layer> | |
| <layer id="566" 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> | |
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| <dim>-1</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
| <dim>128</dim> | |
| <dim>128</dim> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>128</dim> | |
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| <dim>-1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="567" 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="49548716" size="512" /> | |
| <output> | |
| <port id="0" precision="FP32"> | |
| <dim>1</dim> | |
| <dim>128</dim> | |
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| <dim>1</dim> | |
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| </output> | |
| </layer> | |
| <layer id="568" name="__module.decoder.up_blocks.3.resnets.2.conv1/aten::_convolution/Add" type="Add" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
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| <port id="0" precision="FP32"> | |
| <dim>-1</dim> | |
| <dim>128</dim> | |
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| <dim>-1</dim> | |
| </port> | |
| <port id="1" precision="FP32"> | |
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| </input> | |
| <output> | |
| <port id="2" precision="FP32" names="600,input.139"> | |
| <dim>-1</dim> | |
| <dim>128</dim> | |
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| </layer> | |
| <layer id="569" name="self.decoder.up_blocks.3.resnets.2.norm2.weight" type="Const" version="opset1"> | |
| <data element_type="f32" shape="128" offset="49549228" size="512" /> | |
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| <port id="0" precision="FP32" names="self.decoder.up_blocks.3.resnets.2.norm2.weight"> | |
| <dim>128</dim> | |
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| </layer> | |
| <layer id="570" name="self.decoder.up_blocks.3.resnets.2.norm2.bias" type="Const" version="opset1"> | |
| <data element_type="f32" shape="128" offset="49549740" size="512" /> | |
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| <port id="0" precision="FP32" names="self.decoder.up_blocks.3.resnets.2.norm2.bias"> | |
| <dim>128</dim> | |
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| </layer> | |
| <layer id="571" name="__module.decoder.up_blocks.3.resnets.2.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12"> | |
| <data num_groups="32" epsilon="9.9999999747524271e-07" /> | |
| <input> | |
| <port id="0" precision="FP32"> | |
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| <port id="1" precision="FP32"> | |
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| <port id="2" precision="FP32"> | |
| <dim>128</dim> | |
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| <output> | |
| <port id="3" precision="FP32" names="603,input.141"> | |
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| <dim>128</dim> | |
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| <dim>-1</dim> | |
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| </layer> | |
| <layer id="572" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_27" type="Swish" version="opset4"> | |
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| <port id="0" precision="FP32"> | |
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| <output> | |
| <port id="1" precision="FP32" names="604,input.143"> | |
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| <dim>128</dim> | |
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| <dim>-1</dim> | |
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| </layer> | |
| <layer id="573" name="self.decoder.up_blocks.3.resnets.2.conv2.weight" type="Const" version="opset1"> | |
| <data element_type="u8" shape="128, 128, 3, 3" offset="49550252" size="147456" /> | |
| <output> | |
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| <layer id="574" name="Convert_260007" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="U8"> | |
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| <dim>128</dim> | |
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| <output> | |
| <port id="1" precision="FP16"> | |
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| <dim>3</dim> | |
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| <layer id="575" 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="49697708" size="128" /> | |
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| <port id="0" precision="U8"> | |
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| <dim>1</dim> | |
| <dim>1</dim> | |
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| <layer id="576" name="Convert_260010" type="Convert" version="opset1"> | |
| <data destination_type="f16" /> | |
| <input> | |
| <port id="0" precision="U8"> | |
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| <dim>1</dim> | |
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| <output> | |
| <port id="1" precision="FP16"> | |
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| <dim>1</dim> | |
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| <layer id="577" name="self.decoder.up_blocks.3.resnets.2.conv2.weight/zero_point/subtract" type="Subtract" version="opset1"> | |
| <data auto_broadcast="numpy" /> | |
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| <port id="0" precision="FP16"> | |
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| <layer id="585" name="self.decoder.conv_norm_out.weight" type="Const" version="opset1"> | |
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| <layer id="588" name="__module.decoder.conv_act/aten::silu/Swish" type="Swish" version="opset4"> | |
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| <layer id="595" name="self.decoder.conv_out.weight/fq_weights_1" type="Multiply" version="opset1"> | |
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| <layer id="596" name="self.decoder.conv_out.weight/fq_weights_1/convert" type="Convert" version="opset1"> | |
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| <layer id="599" name="__module.decoder.conv_out/aten::_convolution/Add" type="Add" version="opset1"> | |
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| </edges> | |
| <rt_info> | |
| <Runtime_version value="2025.0.0-17373-3e63de016bc" /> | |
| <conversion_parameters> | |
| <framework value="pytorch" /> | |
| <is_python_object value="True" /> | |
| </conversion_parameters> | |
| <nncf> | |
| <friendly_names_were_updated value="True" /> | |
| <weight_compression> | |
| <advanced_parameters value="{'statistics_path': None, 'awq_params': {'subset_size': 32, 'percent_to_apply': 0.002, 'alpha_min': 0.0, 'alpha_max': 1.0, 'steps': 100}, 'scale_estimation_params': {'subset_size': 64, 'initial_steps': 5, 'scale_steps': 5, 'weight_penalty': -1.0}, 'gptq_params': {'damp_percent': 0.1, 'block_size': 128, 'subset_size': 128}, 'lora_correction_params': {'adapter_rank': 8, 'num_iterations': 3, 'apply_regularization': True, 'subset_size': 128, 'use_int8_adapters': True}}" /> | |
| <all_layers value="False" /> | |
| <awq value="False" /> | |
| <backup_mode value="int8_asym" /> | |
| <gptq value="False" /> | |
| <group_size value="-1" /> | |
| <ignored_scope value="[]" /> | |
| <lora_correction value="False" /> | |
| <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="0.31.0" /> | |
| <optimum_intel_version value="1.21.0.dev0+7636733" /> | |
| <optimum_version value="1.23.3" /> | |
| <pytorch_version value="2.4.1+cpu" /> | |
| <transformers_version value="4.46.2" /> | |
| </optimum> | |
| <runtime_options> | |
| <ACTIVATIONS_SCALE_FACTOR value="8.0" /> | |
| </runtime_options> | |
| </rt_info> | |
| </net> | |