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|
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|
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|
| </port>
|
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|
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|
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|
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|
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|
| <port id="0" precision="FP16">
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|
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|
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|
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|
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|
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|
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|
| <dim>512</dim>
|
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|
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|
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|
| </port>
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| <layer id="45" name="Convert_1144549" type="Convert" version="opset1">
|
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|
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|
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|
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|
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|
| <data auto_broadcast="numpy" />
|
| <input>
|
| <port id="0" precision="FP16">
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|
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|
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|
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|
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|
| <output>
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| <layer id="48" name="self.decoder.mid_block.resnets.0.conv2.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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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| <output>
|
| <port id="2" precision="FP16">
|
| <dim>512</dim>
|
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|
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|
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|
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|
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|
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|
| <layer id="49" 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">
|
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|
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|
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|
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|
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|
| </input>
|
| <output>
|
| <port id="1" precision="FP32">
|
| <dim>512</dim>
|
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|
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|
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|
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|
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|
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|
| <layer id="50" 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" />
|
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|
| <port id="0" precision="FP32">
|
| <dim>-1</dim>
|
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|
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|
| <dim>-1</dim>
|
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|
| <port id="1" precision="FP32">
|
| <dim>512</dim>
|
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|
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|
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|
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|
| </input>
|
| <output>
|
| <port id="2" precision="FP32">
|
| <dim>-1</dim>
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| <layer id="52" name="__module.decoder.mid_block.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
|
| <data auto_broadcast="numpy" />
|
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|
| <port id="0" precision="FP32">
|
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|
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|
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|
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|
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|
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|
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|
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|
| <output>
|
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|
| <dim>-1</dim>
|
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|
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|
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|
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|
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|
| <data auto_broadcast="numpy" />
|
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|
| <port id="0" precision="FP32">
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| <layer id="54" name="Constant_268211" type="Const" version="opset1">
|
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|
| <port id="0" precision="I64">
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|
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|
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|
| <layer id="55" 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>
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|
| <dim>-1</dim>
|
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|
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|
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|
| <output>
|
| <port id="2" precision="FP32" names="106">
|
| <dim>-1</dim>
|
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|
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|
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|
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|
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|
| <layer id="56" name="__module.decoder.mid_block.attentions.0/aten::transpose/Constant" type="Const" version="opset1">
|
| <data element_type="i32" shape="3" offset="4886264" size="12" />
|
| <output>
|
| <port id="0" precision="I32">
|
| <dim>3</dim>
|
| </port>
|
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|
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|
| <layer id="57" 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">
|
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|
| </port>
|
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|
| <output>
|
| <port id="2" precision="FP32" names="107,hidden_states.5">
|
| <dim>-1</dim>
|
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|
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|
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|
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|
| <layer id="58" name="__module.decoder.mid_block.attentions.0/aten::transpose/Constant_1" type="Const" version="opset1">
|
| <data element_type="i32" shape="3" offset="4886264" size="12" />
|
| <output>
|
| <port id="0" precision="I32">
|
| <dim>3</dim>
|
| </port>
|
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|
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|
| <layer id="59" 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="109,input.17">
|
| <dim>-1</dim>
|
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|
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|
| </port>
|
| </output>
|
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|
| <layer id="60" name="self.decoder.mid_block.attentions.0.group_norm.weight" type="Const" version="opset1">
|
| <data element_type="f32" shape="512" offset="4886276" size="2048" />
|
| <output>
|
| <port id="0" precision="FP32" names="self.decoder.mid_block.attentions.0.group_norm.weight">
|
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|
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|
| </output>
|
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|
| <layer id="61" name="self.decoder.mid_block.attentions.0.group_norm.bias" type="Const" version="opset1">
|
| <data element_type="f32" shape="512" offset="4888324" size="2048" />
|
| <output>
|
| <port id="0" precision="FP32" names="self.decoder.mid_block.attentions.0.group_norm.bias">
|
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|
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|
| </output>
|
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|
| <layer id="62" 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>
|
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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="112">
|
| <dim>-1</dim>
|
| <dim>512</dim>
|
| <dim>-1</dim>
|
| </port>
|
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|
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|
| <layer id="63" name="self.decoder.mid_block.attentions.0.to_q.weight" type="Const" version="opset1">
|
| <data element_type="u8" shape="512, 512" offset="4890372" size="262144" />
|
| <output>
|
| <port id="0" precision="U8">
|
| <dim>512</dim>
|
| <dim>512</dim>
|
| </port>
|
| </output>
|
| </layer>
|
| <layer id="64" name="Convert_1283168" 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>
|
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|
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|
| <layer id="65" name="self.decoder.mid_block.attentions.0.to_q.weight/zero_point" type="Const" version="opset1">
|
| <data element_type="u8" shape="512, 1" offset="5152516" size="512" />
|
| <output>
|
| <port id="0" precision="U8">
|
| <dim>512</dim>
|
| <dim>1</dim>
|
| </port>
|
| </output>
|
| </layer>
|
| <layer id="66" name="Convert_1283171" type="Convert" version="opset1">
|
| <data destination_type="f16" />
|
| <input>
|
| <port id="0" precision="U8">
|
| <dim>512</dim>
|
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|
| </port>
|
| </input>
|
| <output>
|
| <port id="1" precision="FP16">
|
| <dim>512</dim>
|
| <dim>1</dim>
|
| </port>
|
| </output>
|
| </layer>
|
| <layer id="67" 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="68" name="self.decoder.mid_block.attentions.0.to_q.weight/scale" type="Const" version="opset1">
|
| <data element_type="f16" shape="512, 1" offset="5153028" size="1024" />
|
| <output>
|
| <port id="0" precision="FP16">
|
| <dim>512</dim>
|
| <dim>1</dim>
|
| </port>
|
| </output>
|
| </layer>
|
| <layer id="69" 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="70" name="__module.decoder.mid_block.attentions.0.to_q/ov_ext::linear/Convert" type="Convert" version="opset1">
|
| <data destination_type="f32" />
|
| <rt_info>
|
| <attribute name="decompression" version="0" />
|
| </rt_info>
|
| <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="71" name="__module.decoder.mid_block.attentions.0.to_q/ov_ext::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="72" name="self.decoder.mid_block.attentions.0.to_q.bias" type="Const" version="opset1">
|
| <data element_type="bf16" shape="512" offset="5154052" size="1024" />
|
| <output>
|
| <port id="0" precision="BF16" names="self.decoder.mid_block.attentions.0.to_q.bias">
|
| <dim>512</dim>
|
| </port>
|
| </output>
|
| </layer>
|
| <layer id="73" name="__module.decoder.mid_block.attentions.0.to_q/ov_ext::linear/Convert_1" type="Convert" version="opset1">
|
| <data destination_type="f32" />
|
| <rt_info>
|
| <attribute name="decompression" version="0" />
|
| </rt_info>
|
| <input>
|
| <port id="0" precision="BF16">
|
| <dim>512</dim>
|
| </port>
|
| </input>
|
| <output>
|
| <port id="1" precision="FP32">
|
| <dim>512</dim>
|
| </port>
|
| </output>
|
| </layer>
|
| <layer id="74" name="__module.decoder.mid_block.attentions.0.to_q/ov_ext::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>512</dim>
|
| </port>
|
| </input>
|
| <output>
|
| <port id="2" precision="FP32" names="116,query.1">
|
| <dim>-1</dim>
|
| <dim>-1</dim>
|
| <dim>512</dim>
|
| </port>
|
| </output>
|
| </layer>
|
| <layer id="75" name="Constant_268212" type="Const" version="opset1">
|
| <data element_type="i64" shape="4" offset="5155076" size="32" />
|
| <output>
|
| <port id="0" precision="I64">
|
| <dim>4</dim>
|
| </port>
|
| </output>
|
| </layer>
|
| <layer id="76" 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="130">
|
| <dim>-1</dim>
|
| <dim>-1</dim>
|
| <dim>1</dim>
|
| <dim>512</dim>
|
| </port>
|
| </output>
|
| </layer>
|
| <layer id="77" name="Constant_267272" type="Const" version="opset1">
|
| <data element_type="i64" shape="4" offset="5155108" size="32" />
|
| <output>
|
| <port id="0" precision="I64">
|
| <dim>4</dim>
|
| </port>
|
| </output>
|
| </layer>
|
| <layer id="78" 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="131,query">
|
| <dim>-1</dim>
|
| <dim>1</dim>
|
| <dim>-1</dim>
|
| <dim>512</dim>
|
| </port>
|
| </output>
|
| </layer>
|
| <layer id="79" name="self.decoder.mid_block.attentions.0.to_k.weight" type="Const" version="opset1">
|
| <data element_type="u8" shape="512, 512" offset="5155140" size="262144" />
|
| <output>
|
| <port id="0" precision="U8">
|
| <dim>512</dim>
|
| <dim>512</dim>
|
| </port>
|
| </output>
|
| </layer>
|
| <layer id="80" name="Convert_1278033" 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="81" name="self.decoder.mid_block.attentions.0.to_k.weight/zero_point" type="Const" version="opset1">
|
| <data element_type="u8" shape="512, 1" offset="5417284" size="512" />
|
| <output>
|
| <port id="0" precision="U8">
|
| <dim>512</dim>
|
| <dim>1</dim>
|
| </port>
|
| </output>
|
| </layer>
|
| <layer id="82" name="Convert_1278036" 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="83" name="self.decoder.mid_block.attentions.0.to_k.weight/zero_point/subtract" type="Subtract" version="opset1">
|
| <data auto_broadcast="numpy" />
|
| <input>
|
| <port id="0" precision="FP16">
|
| <dim>512</dim>
|
| <dim>512</dim>
|
| </port>
|
| <port id="1" precision="FP16">
|
| <dim>512</dim>
|
| <dim>1</dim>
|
| </port>
|
| </input>
|
| <output>
|
| <port id="2" precision="FP16">
|
| <dim>512</dim>
|
| <dim>512</dim>
|
| </port>
|
| </output>
|
| </layer>
|
| <layer id="84" name="self.decoder.mid_block.attentions.0.to_k.weight/scale" type="Const" version="opset1">
|
| <data element_type="f16" shape="512, 1" offset="5417796" size="1024" />
|
| <output>
|
| <port id="0" precision="FP16">
|
| <dim>512</dim>
|
| <dim>1</dim>
|
| </port>
|
| </output>
|
| </layer>
|
| <layer id="85" name="self.decoder.mid_block.attentions.0.to_k.weight/fq_weights_1" type="Multiply" version="opset1">
|
| <data auto_broadcast="numpy" />
|
| <input>
|
| <port id="0" precision="FP16">
|
| <dim>512</dim>
|
| <dim>512</dim>
|
| </port>
|
| <port id="1" precision="FP16">
|
| <dim>512</dim>
|
| <dim>1</dim>
|
| </port>
|
| </input>
|
| <output>
|
| <port id="2" precision="FP16">
|
| <dim>512</dim>
|
| <dim>512</dim>
|
| </port>
|
| </output>
|
| </layer>
|
| <layer id="86" name="__module.decoder.mid_block.attentions.0.to_k/ov_ext::linear/Convert" type="Convert" version="opset1">
|
| <data destination_type="f32" />
|
| <rt_info>
|
| <attribute name="decompression" version="0" />
|
| </rt_info>
|
| <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="87" name="__module.decoder.mid_block.attentions.0.to_k/ov_ext::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="88" name="self.decoder.mid_block.attentions.0.to_k.bias" type="Const" version="opset1">
|
| <data element_type="bf16" shape="512" offset="5418820" size="1024" />
|
| <output>
|
| <port id="0" precision="BF16" names="self.decoder.mid_block.attentions.0.to_k.bias">
|
| <dim>512</dim>
|
| </port>
|
| </output>
|
| </layer>
|
| <layer id="89" name="__module.decoder.mid_block.attentions.0.to_k/ov_ext::linear/Convert_1" type="Convert" version="opset1">
|
| <data destination_type="f32" />
|
| <rt_info>
|
| <attribute name="decompression" version="0" />
|
| </rt_info>
|
| <input>
|
| <port id="0" precision="BF16">
|
| <dim>512</dim>
|
| </port>
|
| </input>
|
| <output>
|
| <port id="1" precision="FP32">
|
| <dim>512</dim>
|
| </port>
|
| </output>
|
| </layer>
|
| <layer id="90" name="__module.decoder.mid_block.attentions.0.to_k/ov_ext::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>512</dim>
|
| </port>
|
| </input>
|
| <output>
|
| <port id="2" precision="FP32" names="119,key.1">
|
| <dim>-1</dim>
|
| <dim>-1</dim>
|
| <dim>512</dim>
|
| </port>
|
| </output>
|
| </layer>
|
| <layer id="91" name="Constant_268213" type="Const" version="opset1">
|
| <data element_type="i64" shape="4" offset="5155076" size="32" />
|
| <output>
|
| <port id="0" precision="I64">
|
| <dim>4</dim>
|
| </port>
|
| </output>
|
| </layer>
|
| <layer id="92" name="__module.decoder.mid_block.attentions.0/aten::view/Reshape_2" type="Reshape" version="opset1">
|
| <data special_zero="true" />
|
| <input>
|
| <port id="0" precision="FP32">
|
| <dim>-1</dim>
|
| <dim>-1</dim>
|
| <dim>512</dim>
|
| </port>
|
| <port id="1" precision="I64">
|
| <dim>4</dim>
|
| </port>
|
| </input>
|
| <output>
|
| <port id="2" precision="FP32" names="133">
|
| <dim>-1</dim>
|
| <dim>-1</dim>
|
| <dim>1</dim>
|
| <dim>512</dim>
|
| </port>
|
| </output>
|
| </layer>
|
| <layer id="93" name="Constant_267276" type="Const" version="opset1">
|
| <data element_type="i64" shape="4" offset="5155108" size="32" />
|
| <output>
|
| <port id="0" precision="I64">
|
| <dim>4</dim>
|
| </port>
|
| </output>
|
| </layer>
|
| <layer id="94" name="__module.decoder.mid_block.attentions.0/aten::transpose/Transpose_4" type="Reshape" version="opset1">
|
| <data special_zero="true" />
|
| <input>
|
| <port id="0" precision="FP32">
|
| <dim>-1</dim>
|
| <dim>-1</dim>
|
| <dim>1</dim>
|
| <dim>512</dim>
|
| </port>
|
| <port id="1" precision="I64">
|
| <dim>4</dim>
|
| </port>
|
| </input>
|
| <output>
|
| <port id="2" precision="FP32" names="134,key">
|
| <dim>-1</dim>
|
| <dim>1</dim>
|
| <dim>-1</dim>
|
| <dim>512</dim>
|
| </port>
|
| </output>
|
| </layer>
|
| <layer id="95" name="self.decoder.mid_block.attentions.0.to_v.weight" type="Const" version="opset1">
|
| <data element_type="u8" shape="512, 512" offset="5419844" size="262144" />
|
| <output>
|
| <port id="0" precision="U8">
|
| <dim>512</dim>
|
| <dim>512</dim>
|
| </port>
|
| </output>
|
| </layer>
|
| <layer id="96" name="Convert_1272898" 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="97" name="self.decoder.mid_block.attentions.0.to_v.weight/zero_point" type="Const" version="opset1">
|
| <data element_type="u8" shape="512, 1" offset="5681988" size="512" />
|
| <output>
|
| <port id="0" precision="U8">
|
| <dim>512</dim>
|
| <dim>1</dim>
|
| </port>
|
| </output>
|
| </layer>
|
| <layer id="98" name="Convert_1272901" 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="99" name="self.decoder.mid_block.attentions.0.to_v.weight/zero_point/subtract" type="Subtract" version="opset1">
|
| <data auto_broadcast="numpy" />
|
| <input>
|
| <port id="0" precision="FP16">
|
| <dim>512</dim>
|
| <dim>512</dim>
|
| </port>
|
| <port id="1" precision="FP16">
|
| <dim>512</dim>
|
| <dim>1</dim>
|
| </port>
|
| </input>
|
| <output>
|
| <port id="2" precision="FP16">
|
| <dim>512</dim>
|
| <dim>512</dim>
|
| </port>
|
| </output>
|
| </layer>
|
| <layer id="100" name="self.decoder.mid_block.attentions.0.to_v.weight/scale" type="Const" version="opset1">
|
| <data element_type="f16" shape="512, 1" offset="5682500" size="1024" />
|
| <output>
|
| <port id="0" precision="FP16">
|
| <dim>512</dim>
|
| <dim>1</dim>
|
| </port>
|
| </output>
|
| </layer>
|
| <layer id="101" name="self.decoder.mid_block.attentions.0.to_v.weight/fq_weights_1" type="Multiply" version="opset1">
|
| <data auto_broadcast="numpy" />
|
| <input>
|
| <port id="0" precision="FP16">
|
| <dim>512</dim>
|
| <dim>512</dim>
|
| </port>
|
| <port id="1" precision="FP16">
|
| <dim>512</dim>
|
| <dim>1</dim>
|
| </port>
|
| </input>
|
| <output>
|
| <port id="2" precision="FP16">
|
| <dim>512</dim>
|
| <dim>512</dim>
|
| </port>
|
| </output>
|
| </layer>
|
| <layer id="102" name="__module.decoder.mid_block.attentions.0.to_v/ov_ext::linear/Convert" type="Convert" version="opset1">
|
| <data destination_type="f32" />
|
| <rt_info>
|
| <attribute name="decompression" version="0" />
|
| </rt_info>
|
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|
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|
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|
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|
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| <layer id="129" 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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|
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| <data output_type="i64" />
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|
| <port id="0" precision="FP32">
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|
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| <data special_zero="false" />
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|
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| <data auto_broadcast="numpy" />
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|
| <port id="0" precision="FP32">
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| <data element_type="f32" shape="512" offset="5949308" size="2048" />
|
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| <port id="0" precision="FP32" names="self.decoder.mid_block.resnets.1.norm1.weight">
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| <data element_type="f32" shape="512" offset="5951356" size="2048" />
|
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| <port id="0" precision="FP32" names="self.decoder.mid_block.resnets.1.norm1.bias">
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| <data num_groups="32" epsilon="9.9999999747524271e-07" />
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|
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|
| <port id="0" precision="FP32">
|
| <dim>-1</dim>
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| <layer id="162" name="__module.decoder.mid_block.resnets.1.conv2/aten::_convolution/Add" type="Add" version="opset1">
|
| <data auto_broadcast="numpy" />
|
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|
| <port id="0" precision="FP32">
|
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|
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|
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|
| <port id="2" precision="FP32" names="182,hidden_states.17">
|
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|
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|
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|
| <layer id="163" name="__module.decoder.mid_block.resnets.1/aten::add/Add" type="Add" version="opset1">
|
| <data auto_broadcast="numpy" />
|
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|
| <port id="0" precision="FP32">
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|
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|
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|
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|
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|
| <data element_type="f32" shape="512" offset="10683260" size="2048" />
|
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|
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|
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|
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|
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|
| <data element_type="f32" shape="512" offset="10685308" size="2048" />
|
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|
| <port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.0.norm1.bias">
|
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|
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|
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|
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|
| <layer id="166" 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">
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|
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|
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|
| <dim>512</dim>
|
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|
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|
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|
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|
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|
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|
| <dim>-1</dim>
|
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|
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|
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|
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|
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|
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|
| <port id="0" precision="FP32">
|
| <dim>-1</dim>
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| <Runtime_version value="2026.1.0-21367-63e31528c62-releases/2026/1" />
|
| <conversion_parameters>
|
| <framework value="pytorch" />
|
| <is_python_object value="True" />
|
| </conversion_parameters>
|
| <nncf>
|
| <friendly_names_were_updated value="True" />
|
| <version value="3.1.0" />
|
| <weight_compression>
|
| <advanced_parameters value="{'statistics_path': None, 'lora_adapter_rank': 256, 'group_size_fallback_mode': 'error', 'min_adjusted_group_size': 32, 'awq_params': {'subset_size': 32, 'percent_to_apply': 0.002, 'alpha_min': 0.0, 'alpha_max': 1.0, 'steps': 100, 'prefer_data_aware_scaling': True}, '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}, 'backend_params': {}, 'codebook': None, 'adaptive_codebook_params': {'value_type': 'f8e4m3', 'across_blocks': False, 'num_elements': 16}}" />
|
| <all_layers value="False" />
|
| <awq value="False" />
|
| <backup_mode value="int8_asym" />
|
| <compression_format value="dequantize" />
|
| <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="0.38.0" />
|
| <nncf_version value="3.1.0" />
|
| <optimum_intel_version value="1.27.0.dev0+7234214" />
|
| <optimum_version value="2.1.0.dev0" />
|
| <pytorch_version value="2.12.0+xpu" />
|
| <transformers_version value="4.57.6" />
|
| </optimum>
|
| </rt_info>
|
| </net>
|
|
|
