20664 lines
691 KiB
XML
20664 lines
691 KiB
XML
<?xml version="1.0"?>
|
|
<net name="Model252" version="11">
|
|
<layers>
|
|
<layer id="2" name="input_ids" type="Parameter" version="opset1">
|
|
<data shape="?,?" element_type="i64" />
|
|
<output>
|
|
<port id="0" precision="I64" names="input_ids">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1" name="attention_mask" type="Parameter" version="opset1">
|
|
<data shape="?,?" element_type="i64" />
|
|
<output>
|
|
<port id="0" precision="I64" names="attention_mask">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="0" name="token_type_ids" type="Parameter" version="opset1">
|
|
<data shape="?,?" element_type="i64" />
|
|
<output>
|
|
<port id="0" precision="I64" names="token_type_ids">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="3" name="Constant_27968187" type="Const" version="opset1">
|
|
<data element_type="i8" shape="30000, 128" offset="0" size="3840000" />
|
|
<output>
|
|
<port id="0" precision="I8">
|
|
<dim>30000</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="4" name="Convert_27968188" type="Convert" version="opset1">
|
|
<data destination_type="f32" />
|
|
<input>
|
|
<port id="0" precision="I8">
|
|
<dim>30000</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32">
|
|
<dim>30000</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="5" name="Constant_27968189" type="Const" version="opset1">
|
|
<data element_type="f32" shape="30000, 1" offset="3840000" size="120000" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>30000</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="6" name="__module.embeddings.word_embeddings/aten::embedding/Gather/fq_weights_0" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>30000</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>30000</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>30000</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="7" name="__module.embeddings.word_embeddings/aten::embedding/Convert" type="Convert" version="opset1">
|
|
<data destination_type="i32" />
|
|
<input>
|
|
<port id="0" precision="I64">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="I32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="8" name="__module.embeddings.word_embeddings/aten::embedding/Constant" type="Const" version="opset1">
|
|
<data element_type="i32" shape="" offset="3960000" size="4" />
|
|
<output>
|
|
<port id="0" precision="I32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="9" name="__module.embeddings.word_embeddings/aten::embedding/Gather" type="Gather" version="opset8">
|
|
<data batch_dims="0" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>30000</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="2" precision="I32" />
|
|
</input>
|
|
<output>
|
|
<port id="3" precision="FP32" names="58,inputs_embeds">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="10" name="Constant_27968191" type="Const" version="opset1">
|
|
<data element_type="i8" shape="2, 128" offset="3960004" size="256" />
|
|
<output>
|
|
<port id="0" precision="I8">
|
|
<dim>2</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="11" name="Convert_27968192" type="Convert" version="opset1">
|
|
<data destination_type="f32" />
|
|
<input>
|
|
<port id="0" precision="I8">
|
|
<dim>2</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32">
|
|
<dim>2</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="12" name="Constant_27968193" type="Const" version="opset1">
|
|
<data element_type="f32" shape="2, 1" offset="3960260" size="8" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>2</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="13" name="__module.embeddings.token_type_embeddings/aten::embedding/Gather/fq_weights_0" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>2</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>2</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>2</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="14" name="__module.embeddings.token_type_embeddings/aten::embedding/Convert" type="Convert" version="opset1">
|
|
<data destination_type="i32" />
|
|
<input>
|
|
<port id="0" precision="I64">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="I32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="15" name="__module.embeddings.token_type_embeddings/aten::embedding/Constant" type="Const" version="opset1">
|
|
<data element_type="i32" shape="" offset="3960000" size="4" />
|
|
<output>
|
|
<port id="0" precision="I32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="16" name="__module.embeddings.token_type_embeddings/aten::embedding/Gather" type="Gather" version="opset8">
|
|
<data batch_dims="0" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>2</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="2" precision="I32" />
|
|
</input>
|
|
<output>
|
|
<port id="3" precision="FP32" names="60,token_type_embeddings.1">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="17" name="__module.embeddings/aten::add/Add" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="61_1">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="18" name="Constant_27968195" type="Const" version="opset1">
|
|
<data element_type="i8" shape="512, 128" offset="3960268" size="65536" />
|
|
<output>
|
|
<port id="0" precision="I8">
|
|
<dim>512</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="19" name="Convert_27968196" type="Convert" version="opset1">
|
|
<data destination_type="f32" />
|
|
<input>
|
|
<port id="0" precision="I8">
|
|
<dim>512</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32">
|
|
<dim>512</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="20" name="Constant_27968197" type="Const" version="opset1">
|
|
<data element_type="f32" shape="512, 1" offset="4025804" size="2048" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>512</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="21" name="__module.embeddings.position_embeddings/aten::embedding/Gather/fq_weights_0" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>512</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>512</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>512</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="22" name="__module.embeddings/aten::slice/Slice" type="Const" version="opset1">
|
|
<data element_type="i64" shape="1, 512" offset="4027852" size="4096" />
|
|
<output>
|
|
<port id="0" precision="I64" names="55">
|
|
<dim>1</dim>
|
|
<dim>512</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="23" name="__module.embeddings/aten::slice/Reshape" type="Const" version="opset1">
|
|
<data element_type="i64" shape="1" offset="4031948" size="8" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="24" name="ShapeOf_186890" type="ShapeOf" version="opset3">
|
|
<data output_type="i64" />
|
|
<input>
|
|
<port id="0" precision="I64">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="I64">
|
|
<dim>2</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="25" name="Constant_187007" type="Const" version="opset1">
|
|
<data element_type="i64" shape="1" offset="4031956" size="8" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="26" name="Constant_186892" type="Const" version="opset1">
|
|
<data element_type="i64" shape="" offset="4031948" size="8" />
|
|
<output>
|
|
<port id="0" precision="I64" />
|
|
</output>
|
|
</layer>
|
|
<layer id="27" name="Gather_186893" type="Gather" version="opset8">
|
|
<data batch_dims="0" />
|
|
<input>
|
|
<port id="0" precision="I64">
|
|
<dim>2</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>1</dim>
|
|
</port>
|
|
<port id="2" precision="I64" />
|
|
</input>
|
|
<output>
|
|
<port id="3" precision="I64" names="51,53,54">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="28" name="__module.embeddings/aten::slice/Reshape_2" type="Const" version="opset1">
|
|
<data element_type="i64" shape="1" offset="4031956" size="8" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="29" name="__module.embeddings/aten::slice/Reshape_3" type="Const" version="opset1">
|
|
<data element_type="i64" shape="1" offset="4031956" size="8" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="30" name="__module.embeddings/aten::slice/Slice_1" type="Slice" version="opset8">
|
|
<input>
|
|
<port id="0" precision="I64">
|
|
<dim>1</dim>
|
|
<dim>512</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>1</dim>
|
|
</port>
|
|
<port id="2" precision="I64">
|
|
<dim>1</dim>
|
|
</port>
|
|
<port id="3" precision="I64">
|
|
<dim>1</dim>
|
|
</port>
|
|
<port id="4" precision="I64">
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="I64" names="56">
|
|
<dim>1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="31" name="__module.embeddings.position_embeddings/aten::embedding/Convert" type="Convert" version="opset1">
|
|
<data destination_type="i32" />
|
|
<input>
|
|
<port id="0" precision="I64">
|
|
<dim>1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="I32">
|
|
<dim>1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="32" name="__module.embeddings.position_embeddings/aten::embedding/Constant" type="Const" version="opset1">
|
|
<data element_type="i32" shape="" offset="3960000" size="4" />
|
|
<output>
|
|
<port id="0" precision="I32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="33" name="__module.embeddings.position_embeddings/aten::embedding/Gather" type="Gather" version="opset8">
|
|
<data batch_dims="0" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>512</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="2" precision="I32" />
|
|
</input>
|
|
<output>
|
|
<port id="3" precision="FP32" names="63,position_embeddings.1">
|
|
<dim>1</dim>
|
|
<dim>-1</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="34" name="__module.embeddings/aten::add_/Add" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>-1</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="61,embeddings.1">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="35" name="__module.embeddings.LayerNorm/aten::layer_norm/Multiply" type="Const" version="opset1">
|
|
<data element_type="i32" shape="1" offset="4031964" size="4" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="36" name="__module.embeddings.LayerNorm/aten::layer_norm/MVN" type="MVN" version="opset6">
|
|
<data eps="9.999999960041972e-13" normalize_variance="true" eps_mode="INSIDE_SQRT" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="37" name="Constant_186564" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 128" offset="4031968" size="512" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="38" name="__module.embeddings.LayerNorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="39" name="Constant_186565" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 128" offset="4032480" size="512" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="40" name="__module.embeddings.LayerNorm/aten::layer_norm/Add" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="68,input.1">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="41" name="__module.embeddings.LayerNorm/aten::layer_norm/Add_0_0/nncf_smooth_quant/scale" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 128" offset="4032992" size="512" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="42" name="__module.embeddings.LayerNorm/aten::layer_norm/Add_0_0/nncf_smooth_quant" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="43" name="__module.embeddings.LayerNorm/aten::layer_norm/Add_0_0/nncf_smooth_quant/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="4033504" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="44" name="__module.embeddings.LayerNorm/aten::layer_norm/Add_0_0/nncf_smooth_quant/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="4033508" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="45" name="__module.embeddings.LayerNorm/aten::layer_norm/Add_0_0/nncf_smooth_quant/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="4033504" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="46" name="__module.embeddings.LayerNorm/aten::layer_norm/Add_0_0/nncf_smooth_quant/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="4033508" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="47" name="__module.embeddings.LayerNorm/aten::layer_norm/Add_0_0/nncf_smooth_quant/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="48" name="Constant_27968199" type="Const" version="opset1">
|
|
<data element_type="i8" shape="768, 128" offset="4033512" size="98304" />
|
|
<output>
|
|
<port id="0" precision="I8">
|
|
<dim>768</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="49" name="Convert_27968200" type="Convert" version="opset1">
|
|
<data destination_type="f32" />
|
|
<input>
|
|
<port id="0" precision="I8">
|
|
<dim>768</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="50" name="Constant_27968201" type="Const" version="opset1">
|
|
<data element_type="f32" shape="768, 1" offset="4131816" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="51" name="__module.encoder.embedding_hidden_mapping_in/aten::linear/MatMul/fq_weights_1" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="52" name="__module.encoder.embedding_hidden_mapping_in/aten::linear/MatMul" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>128</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="53" name="Constant_186566" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="4134888" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="54" name="__module.encoder.embedding_hidden_mapping_in/aten::linear/Add" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="95,hidden_states.1">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="55" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="4137960" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="56" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="4137964" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="57" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="4137960" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="58" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="4137964" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="59" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="60" name="Constant_27968203" type="Const" version="opset1">
|
|
<data element_type="i8" shape="768, 768" offset="4137968" size="589824" />
|
|
<output>
|
|
<port id="0" precision="I8">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="61" name="Convert_27968204" type="Convert" version="opset1">
|
|
<data destination_type="f32" />
|
|
<input>
|
|
<port id="0" precision="I8">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="62" name="Constant_27968205" type="Const" version="opset1">
|
|
<data element_type="f32" shape="768, 1" offset="4727792" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="63" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul/fq_weights_1" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="64" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="65" name="Constant_186567" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="4730864" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="66" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="110,x.1">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="67" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="4733936" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="68" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="4733940" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="69" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="4733936" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="70" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="4733940" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="71" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="72" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="73" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="120,x.3">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="74" name="Constant_173792" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="121">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="75" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="122">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="76" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="4137960" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="77" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="4137964" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="78" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="4137960" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="79" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="4137964" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="80" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="81" name="Constant_27968207" type="Const" version="opset1">
|
|
<data element_type="i8" shape="768, 768" offset="4734008" size="589824" />
|
|
<output>
|
|
<port id="0" precision="I8">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="82" name="Convert_27968208" type="Convert" version="opset1">
|
|
<data destination_type="f32" />
|
|
<input>
|
|
<port id="0" precision="I8">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="83" name="Constant_27968209" type="Const" version="opset1">
|
|
<data element_type="f32" shape="768, 1" offset="5323832" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="84" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul/fq_weights_1" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="85" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="86" name="Constant_186568" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="5326904" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="87" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="113,x.5">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="88" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="5329976" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="89" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="5329980" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="90" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="5329976" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="91" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="5329980" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="92" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="93" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_1" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="94" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/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>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="126,x.7">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="95" name="Constant_173811" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="127">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="96" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_1" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="128,key_layer.1">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="97" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="136,attention_scores.1">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="98" name="Constant_186569" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1, 1" offset="5329984" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="99" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::div/Divide" type="Divide" version="opset1">
|
|
<data auto_broadcast="numpy" m_pythondiv="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="137,attention_scores.3">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="100" name="Constant_186571" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1, 1" offset="5329988" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="101" name="8" type="Const" version="opset1">
|
|
<data element_type="i64" shape="" offset="4031956" size="8" />
|
|
<output>
|
|
<port id="0" precision="I64" names="8" />
|
|
</output>
|
|
</layer>
|
|
<layer id="102" name="aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
|
|
<input>
|
|
<port id="0" precision="I64">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="I64" />
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="I64" names="9">
|
|
<dim>-1</dim>
|
|
<dim>1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="103" name="10" type="Const" version="opset1">
|
|
<data element_type="i64" shape="" offset="5329992" size="8" />
|
|
<output>
|
|
<port id="0" precision="I64" names="10" />
|
|
</output>
|
|
</layer>
|
|
<layer id="104" name="aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
|
|
<input>
|
|
<port id="0" precision="I64">
|
|
<dim>-1</dim>
|
|
<dim>1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="I64" />
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="I64" names="11,extended_attention_mask">
|
|
<dim>-1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="105" name="aten::to/Convert" type="Convert" version="opset1">
|
|
<data destination_type="f32" />
|
|
<input>
|
|
<port id="0" precision="I64">
|
|
<dim>-1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32" names="16">
|
|
<dim>-1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="106" name="Constant_186570" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1, 1" offset="5329988" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="107" name="aten::rsub/Multiply" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="108" name="aten::rsub/Subtract" type="Subtract" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="19">
|
|
<dim>-1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="109" name="Constant_186572" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1, 1" offset="5330000" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="110" name="aten::mul/Multiply" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="21,attention_mask">
|
|
<dim>-1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="111" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::add/Add" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="138,input.3">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="112" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::softmax/Softmax" type="SoftMax" version="opset8">
|
|
<data axis="-1" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32" names="139,input.5">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="113" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="4137960" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="114" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="4137964" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="115" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="4137960" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="116" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="4137964" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="117" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="118" name="Constant_27968211" type="Const" version="opset1">
|
|
<data element_type="i8" shape="768, 768" offset="5330004" size="589824" />
|
|
<output>
|
|
<port id="0" precision="I8">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="119" name="Convert_27968212" type="Convert" version="opset1">
|
|
<data destination_type="f32" />
|
|
<input>
|
|
<port id="0" precision="I8">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="120" name="Constant_27968213" type="Const" version="opset1">
|
|
<data element_type="f32" shape="768, 1" offset="5919828" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="121" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul/fq_weights_1" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="122" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="123" name="Constant_186573" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="5922900" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="124" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/Add" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="116,x.9">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="125" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_2" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="126" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/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>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="132,x.11">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="127" name="Constant_173830" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="133">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="128" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_2" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="134">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="129" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_1" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="false" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="141,context_layer.1">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="130" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_1/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="5925972" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="131" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_1/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="5925976" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="132" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_1/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="5925972" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="133" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_1/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="5925976" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="134" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_1/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="135" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::transpose/ScatterElementsUpdate_1" type="Const" version="opset1">
|
|
<data element_type="i32" shape="4" offset="5925980" size="16" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="136" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::transpose/Transpose_1" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="142">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="137" name="Constant_186898" type="Const" version="opset1">
|
|
<data element_type="i64" shape="3" offset="5925996" size="24" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>3</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="138" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::flatten/Reshape" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>3</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="143">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="139" name="Constant_27968215" type="Const" version="opset1">
|
|
<data element_type="i8" shape="768, 768" offset="5926020" size="589824" />
|
|
<output>
|
|
<port id="0" precision="I8">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="140" name="Convert_27968216" type="Convert" version="opset1">
|
|
<data destination_type="f32" />
|
|
<input>
|
|
<port id="0" precision="I8">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="141" name="Constant_27968217" type="Const" version="opset1">
|
|
<data element_type="f32" shape="768, 1" offset="6515844" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="142" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.dense/aten::linear/MatMul/fq_weights_1" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="143" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.dense/aten::linear/MatMul" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="144" name="Constant_186574" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6518916" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="145" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.dense/aten::linear/Add" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="146,input.7">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="146" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::add/Add_1" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="148">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="147" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Multiply" type="Const" version="opset1">
|
|
<data element_type="i32" shape="1" offset="4031964" size="4" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="148" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/MVN" type="MVN" version="opset6">
|
|
<data eps="9.999999960041972e-13" normalize_variance="true" eps_mode="INSIDE_SQRT" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="149" name="Constant_186575" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6521988" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="150" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="151" name="Constant_186576" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6525060" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="152" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Add" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="152">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="153" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="6528132" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="154" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="6528136" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="155" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="6528132" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="156" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="6528136" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="157" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="158" name="Constant_27968219" type="Const" version="opset1">
|
|
<data element_type="i8" shape="3072, 768" offset="6528140" size="2359296" />
|
|
<output>
|
|
<port id="0" precision="I8">
|
|
<dim>3072</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="159" name="Convert_27968220" type="Convert" version="opset1">
|
|
<data destination_type="f32" />
|
|
<input>
|
|
<port id="0" precision="I8">
|
|
<dim>3072</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32">
|
|
<dim>3072</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="160" name="Constant_27968221" type="Const" version="opset1">
|
|
<data element_type="f32" shape="3072, 1" offset="8887436" size="12288" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>3072</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="161" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul/fq_weights_1" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>3072</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>3072</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>3072</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="162" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>3072</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="163" name="Constant_186577" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 3072" offset="8899724" size="12288" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="164" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/Add" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="155,input.9">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="165" name="Constant_186578" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912012" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="166" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="156">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="167" name="Constant_186579" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912016" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="168" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::pow/Power" type="Power" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="157">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="169" name="Constant_186580" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912020" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="170" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_1" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="158">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="171" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::add/Add" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="159">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="172" name="Constant_186581" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912024" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="173" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_2" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="160">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="174" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::tanh/Tanh" type="Tanh" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32" names="161">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="175" name="Constant_186582" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="5329988" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="176" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::add/Add_1" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="162">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="177" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_3" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="163">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="178" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_3/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="8912028" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="179" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_3/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="8912032" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="180" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_3/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="8912028" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="181" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_3/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="8912032" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="182" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_3/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="183" name="Constant_27968223" type="Const" version="opset1">
|
|
<data element_type="i8" shape="768, 3072" offset="8912036" size="2359296" />
|
|
<output>
|
|
<port id="0" precision="I8">
|
|
<dim>768</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="184" name="Convert_27968224" type="Convert" version="opset1">
|
|
<data destination_type="f32" />
|
|
<input>
|
|
<port id="0" precision="I8">
|
|
<dim>768</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="185" name="Constant_27968225" type="Const" version="opset1">
|
|
<data element_type="f32" shape="768, 1" offset="11271332" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="186" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn_output/aten::linear/MatMul/fq_weights_1" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="187" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn_output/aten::linear/MatMul" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="188" name="Constant_186583" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11274404" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="189" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn_output/aten::linear/Add" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="166,ffn_output.1">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="190" name="__module.encoder.albert_layer_groups.0.albert_layers.0/aten::add/Add" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="167">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="191" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Multiply" type="Const" version="opset1">
|
|
<data element_type="i32" shape="1" offset="4031964" size="4" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="192" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/MVN" type="MVN" version="opset6">
|
|
<data eps="9.999999960041972e-13" normalize_variance="true" eps_mode="INSIDE_SQRT" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="193" name="Constant_186584" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11277476" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="194" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="195" name="Constant_186585" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11280548" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="196" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Add" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="171,hidden_states.3">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="197" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_1/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283620" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="198" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_1/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283624" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="199" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_1/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283620" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="200" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_1/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283624" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="201" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_1/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="202" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_1" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="203" name="Constant_186586" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="4730864" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="204" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_1" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="186,x.13">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="205" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_1/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283628" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="206" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_1/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283632" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="207" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_1/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283628" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="208" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_1/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283632" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="209" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_1/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="210" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_3" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="211" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_3" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="196,x.15">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="212" name="Constant_174210" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="197">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="213" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_3" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="198">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="214" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_1/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283620" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="215" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_1/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283624" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="216" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_1/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283620" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="217" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_1/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283624" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="218" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_1/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="219" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_1" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="220" name="Constant_186587" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="5326904" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="221" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_1" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="189,x.17">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="222" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_1/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283636" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="223" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_1/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283640" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="224" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_1/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283636" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="225" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_1/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283640" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="226" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_1/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="227" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_4" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="228" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_4" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="202,x.19">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="229" name="Constant_174229" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="203">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="230" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_4" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="204,key_layer.3">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="231" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_2" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="212,attention_scores.5">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="232" name="Constant_186588" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1, 1" offset="5329984" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="233" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::div/Divide_1" type="Divide" version="opset1">
|
|
<data auto_broadcast="numpy" m_pythondiv="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="213,attention_scores.7">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="234" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::add/Add_2" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="214,input.11">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="235" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::softmax/Softmax_1" type="SoftMax" version="opset8">
|
|
<data axis="-1" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32" names="215,input.13">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="236" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_1/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283620" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="237" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_1/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283624" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="238" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_1/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283620" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="239" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_1/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283624" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="240" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_1/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="241" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_1" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="242" name="Constant_186589" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="5922900" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="243" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/Add_1" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="192,x.21">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="244" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_5" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="245" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_5" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="208,x.23">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="246" name="Constant_174248" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="209">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="247" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_5" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="210">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="248" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_3" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="false" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="217,context_layer.3">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="249" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_3/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283644" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="250" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_3/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283648" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="251" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_3/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283644" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="252" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_3/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283648" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="253" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_3/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="254" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::transpose/ScatterElementsUpdate_3" type="Const" version="opset1">
|
|
<data element_type="i32" shape="4" offset="5925980" size="16" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="255" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::transpose/Transpose_3" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="218">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="256" name="Constant_186899" type="Const" version="opset1">
|
|
<data element_type="i64" shape="3" offset="5925996" size="24" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>3</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="257" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::flatten/Reshape_1" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>3</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="219">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="258" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.dense/aten::linear/MatMul_1" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="259" name="Constant_186590" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6518916" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="260" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.dense/aten::linear/Add_1" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="222,input.15">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="261" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::add/Add_3" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="224">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="262" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Multiply_2" type="Const" version="opset1">
|
|
<data element_type="i32" shape="1" offset="4031964" size="4" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="263" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/MVN_1" type="MVN" version="opset6">
|
|
<data eps="9.999999960041972e-13" normalize_variance="true" eps_mode="INSIDE_SQRT" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="264" name="Constant_186591" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6521988" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="265" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Multiply_3" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="266" name="Constant_186592" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6525060" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="267" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Add_1" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="228">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="268" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_1/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283652" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="269" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_1/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283656" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="270" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_1/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283652" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="271" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_1/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283656" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="272" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_1/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="273" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_1" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>3072</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="274" name="Constant_186593" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 3072" offset="8899724" size="12288" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="275" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/Add_1" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="231,input.17">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="276" name="Constant_186594" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912012" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="277" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_4" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="232">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="278" name="Constant_186595" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912016" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="279" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::pow/Power_1" type="Power" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="233">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="280" name="Constant_186596" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912020" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="281" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_5" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="234">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="282" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::add/Add_2" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="235">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="283" name="Constant_186597" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912024" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="284" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_6" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="236">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="285" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::tanh/Tanh_1" type="Tanh" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32" names="237">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="286" name="Constant_186598" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="5329988" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="287" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::add/Add_3" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="238">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="288" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_7" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="239">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="289" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_7/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="8912028" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="290" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_7/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283660" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="291" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_7/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="8912028" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="292" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_7/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283660" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="293" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_7/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="294" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn_output/aten::linear/MatMul_1" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="295" name="Constant_186599" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11274404" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="296" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn_output/aten::linear/Add_1" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="242,ffn_output.3">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="297" name="__module.encoder.albert_layer_groups.0.albert_layers.0/aten::add/Add_1" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="243">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="298" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Multiply_2" type="Const" version="opset1">
|
|
<data element_type="i32" shape="1" offset="4031964" size="4" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="299" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/MVN_1" type="MVN" version="opset6">
|
|
<data eps="9.999999960041972e-13" normalize_variance="true" eps_mode="INSIDE_SQRT" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="300" name="Constant_186600" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11277476" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="301" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Multiply_3" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="302" name="Constant_186601" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11280548" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="303" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Add_1" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="247,hidden_states.5">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="304" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_2/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283664" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="305" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_2/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283668" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="306" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_2/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283664" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="307" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_2/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283668" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="308" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_2/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="309" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_2" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="310" name="Constant_186602" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="4730864" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="311" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_2" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="262,x.25">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="312" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_2/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283672" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="313" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_2/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283676" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="314" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_2/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283672" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="315" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_2/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283676" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="316" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="317" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_6" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="318" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_6" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="272,x.27">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="319" name="Constant_174608" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="273">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="320" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_6" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="274">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="321" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_2/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283664" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="322" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_2/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283668" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="323" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_2/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283664" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="324" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_2/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283668" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="325" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_2/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="326" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_2" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="327" name="Constant_186603" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="5326904" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="328" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_2" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="265,x.29">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="329" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_2/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283680" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="330" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_2/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283684" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="331" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_2/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283680" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="332" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_2/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283684" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="333" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_2/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="334" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_7" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="335" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_7" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="278,x.31">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="336" name="Constant_174627" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="279">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="337" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_7" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="280,key_layer.5">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="338" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_4" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="288,attention_scores.9">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="339" name="Constant_186604" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1, 1" offset="5329984" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="340" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::div/Divide_2" type="Divide" version="opset1">
|
|
<data auto_broadcast="numpy" m_pythondiv="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="289,attention_scores.11">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="341" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::add/Add_4" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="290,input.19">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="342" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::softmax/Softmax_2" type="SoftMax" version="opset8">
|
|
<data axis="-1" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32" names="291,input.21">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="343" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_2/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283664" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="344" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_2/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283668" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="345" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_2/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283664" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="346" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_2/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283668" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="347" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_2/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="348" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_2" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="349" name="Constant_186605" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="5922900" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="350" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/Add_2" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="268,x.33">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="351" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_8" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="352" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_8" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="284,x.35">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="353" name="Constant_174646" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="285">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="354" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_8" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="286">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="355" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_5" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="false" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="293,context_layer.5">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="356" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_5/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283688" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="357" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_5/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283692" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="358" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_5/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283688" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="359" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_5/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11283692" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="360" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_5/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="361" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::transpose/ScatterElementsUpdate_5" type="Const" version="opset1">
|
|
<data element_type="i32" shape="4" offset="5925980" size="16" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="362" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::transpose/Transpose_5" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="294">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="363" name="Constant_186900" type="Const" version="opset1">
|
|
<data element_type="i64" shape="3" offset="5925996" size="24" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>3</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="364" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::flatten/Reshape_2" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>3</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="295">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="365" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.dense/aten::linear/MatMul_2" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="366" name="Constant_186606" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11283696" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="367" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.dense/aten::linear/Add_2" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="298,input.23">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="368" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::add/Add_5" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="300">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="369" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Multiply_4" type="Const" version="opset1">
|
|
<data element_type="i32" shape="1" offset="4031964" size="4" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="370" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/MVN_2" type="MVN" version="opset6">
|
|
<data eps="9.999999960041972e-13" normalize_variance="true" eps_mode="INSIDE_SQRT" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="371" name="Constant_186607" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6521988" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="372" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Multiply_5" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="373" name="Constant_186608" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6525060" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="374" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Add_2" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="304">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="375" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_2/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286768" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="376" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_2/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286772" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="377" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_2/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286768" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="378" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_2/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286772" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="379" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_2/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="380" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_2" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>3072</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="381" name="Constant_186609" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 3072" offset="8899724" size="12288" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="382" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/Add_2" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="307,input.25">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="383" name="Constant_186610" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912012" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="384" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_8" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="308">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="385" name="Constant_186611" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912016" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="386" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::pow/Power_2" type="Power" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="309">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="387" name="Constant_186612" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912020" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="388" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_9" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="310">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="389" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::add/Add_4" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="311">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="390" name="Constant_186613" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912024" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="391" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_10" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="312">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="392" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::tanh/Tanh_2" type="Tanh" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32" names="313">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="393" name="Constant_186614" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="5329988" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="394" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::add/Add_5" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="314">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="395" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_11" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="315">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="396" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_11/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286776" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="397" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_11/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286780" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="398" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_11/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286776" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="399" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_11/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286780" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="400" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_11/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="401" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn_output/aten::linear/MatMul_2" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="402" name="Constant_186615" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11274404" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="403" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn_output/aten::linear/Add_2" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="318,ffn_output.5">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="404" name="__module.encoder.albert_layer_groups.0.albert_layers.0/aten::add/Add_2" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="319">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="405" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Multiply_4" type="Const" version="opset1">
|
|
<data element_type="i32" shape="1" offset="4031964" size="4" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="406" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/MVN_2" type="MVN" version="opset6">
|
|
<data eps="9.999999960041972e-13" normalize_variance="true" eps_mode="INSIDE_SQRT" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="407" name="Constant_186616" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11277476" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="408" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Multiply_5" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="409" name="Constant_186617" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11280548" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="410" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Add_2" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="323,hidden_states.7">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="411" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_3/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286784" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="412" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_3/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286788" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="413" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_3/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286784" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="414" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_3/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286788" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="415" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_3/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="416" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_3" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="417" name="Constant_186618" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="4730864" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="418" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_3" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="338,x.37">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="419" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_3/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286792" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="420" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_3/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286796" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="421" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_3/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286792" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="422" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_3/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286796" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="423" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_3/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="424" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_9" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="425" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_9" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="348,x.39">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="426" name="Constant_175006" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="349">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="427" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_9" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="350">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="428" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_3/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286784" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="429" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_3/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286788" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="430" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_3/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286784" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="431" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_3/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286788" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="432" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_3/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="433" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_3" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="434" name="Constant_186619" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="5326904" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="435" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_3" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="341,x.41">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="436" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_3/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286800" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="437" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_3/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286804" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="438" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_3/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286800" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="439" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_3/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286804" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="440" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_3/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="441" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_10" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="442" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_10" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="354,x.43">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="443" name="Constant_175025" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="355">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="444" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_10" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="356,key_layer.7">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="445" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_6" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="364,attention_scores.13">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="446" name="Constant_186620" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1, 1" offset="5329984" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="447" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::div/Divide_3" type="Divide" version="opset1">
|
|
<data auto_broadcast="numpy" m_pythondiv="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="365,attention_scores.15">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="448" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::add/Add_6" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="366,input.27">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="449" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::softmax/Softmax_3" type="SoftMax" version="opset8">
|
|
<data axis="-1" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32" names="367,input.29">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="450" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_3/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286784" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="451" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_3/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286788" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="452" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_3/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286784" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="453" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_3/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286788" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="454" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_3/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="455" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_3" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="456" name="Constant_186621" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="5922900" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="457" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/Add_3" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="344,x.45">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="458" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_11" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="459" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_11" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="360,x.47">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="460" name="Constant_175044" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="361">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="461" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_11" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="362">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="462" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_7" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="false" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="369,context_layer.7">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="463" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_7/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286808" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="464" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_7/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286812" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="465" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_7/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286808" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="466" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_7/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286812" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="467" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_7/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="468" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::transpose/ScatterElementsUpdate_7" type="Const" version="opset1">
|
|
<data element_type="i32" shape="4" offset="5925980" size="16" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="469" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::transpose/Transpose_7" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="370">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="470" name="Constant_186901" type="Const" version="opset1">
|
|
<data element_type="i64" shape="3" offset="5925996" size="24" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>3</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="471" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::flatten/Reshape_3" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>3</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="371">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="472" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.dense/aten::linear/MatMul_3" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="473" name="Constant_186622" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6518916" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="474" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.dense/aten::linear/Add_3" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="374,input.31">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="475" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::add/Add_7" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="376">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="476" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Multiply_6" type="Const" version="opset1">
|
|
<data element_type="i32" shape="1" offset="4031964" size="4" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="477" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/MVN_3" type="MVN" version="opset6">
|
|
<data eps="9.999999960041972e-13" normalize_variance="true" eps_mode="INSIDE_SQRT" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="478" name="Constant_186623" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6521988" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="479" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Multiply_7" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="480" name="Constant_186624" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6525060" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="481" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Add_3" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="380">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="482" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_3/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286816" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="483" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_3/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286820" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="484" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_3/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286816" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="485" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_3/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286820" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="486" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_3/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="487" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_3" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>3072</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="488" name="Constant_186625" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 3072" offset="8899724" size="12288" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="489" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/Add_3" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="383,input.33">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="490" name="Constant_186626" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912012" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="491" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_12" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="384">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="492" name="Constant_186627" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912016" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="493" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::pow/Power_3" type="Power" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="385">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="494" name="Constant_186628" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912020" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="495" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_13" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="386">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="496" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::add/Add_6" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="387">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="497" name="Constant_186629" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912024" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="498" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_14" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="388">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="499" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::tanh/Tanh_3" type="Tanh" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32" names="389">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="500" name="Constant_186630" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="5329988" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="501" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::add/Add_7" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="390">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="502" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_15" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="391">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="503" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_15/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="8912028" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="504" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_15/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286824" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="505" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_15/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="8912028" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="506" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_15/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286824" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="507" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_15/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="508" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn_output/aten::linear/MatMul_3" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="509" name="Constant_186631" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11274404" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="510" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn_output/aten::linear/Add_3" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="394,ffn_output.7">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="511" name="__module.encoder.albert_layer_groups.0.albert_layers.0/aten::add/Add_3" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="395">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="512" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Multiply_6" type="Const" version="opset1">
|
|
<data element_type="i32" shape="1" offset="4031964" size="4" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="513" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/MVN_3" type="MVN" version="opset6">
|
|
<data eps="9.999999960041972e-13" normalize_variance="true" eps_mode="INSIDE_SQRT" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="514" name="Constant_186632" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11277476" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="515" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Multiply_7" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="516" name="Constant_186633" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11280548" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="517" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Add_3" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="399,hidden_states.9">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="518" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_4/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286828" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="519" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_4/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286832" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="520" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_4/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286828" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="521" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_4/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286832" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="522" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_4/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="523" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_4" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="524" name="Constant_186634" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="4730864" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="525" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_4" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="414,x.49">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="526" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_4/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286836" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="527" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_4/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286840" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="528" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_4/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286836" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="529" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_4/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286840" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="530" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_4/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="531" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_12" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="532" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_12" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="424,x.51">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="533" name="Constant_175404" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="425">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="534" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_12" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="426">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="535" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_4/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286828" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="536" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_4/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286832" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="537" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_4/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286828" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="538" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_4/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286832" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="539" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_4/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="540" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_4" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="541" name="Constant_186635" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="5326904" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="542" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_4" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="417,x.53">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="543" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_4/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286844" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="544" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_4/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286848" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="545" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_4/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286844" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="546" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_4/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286848" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="547" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_4/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="548" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_13" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="549" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_13" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="430,x.55">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="550" name="Constant_175423" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="431">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="551" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_13" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="432,key_layer.9">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="552" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_8" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="440,attention_scores.17">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="553" name="Constant_186636" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1, 1" offset="5329984" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="554" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::div/Divide_4" type="Divide" version="opset1">
|
|
<data auto_broadcast="numpy" m_pythondiv="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="441,attention_scores.19">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="555" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::add/Add_8" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="442,input.35">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="556" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::softmax/Softmax_4" type="SoftMax" version="opset8">
|
|
<data axis="-1" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32" names="443,input.37">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="557" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_4/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286828" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="558" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_4/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286832" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="559" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_4/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286828" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="560" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_4/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286832" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="561" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_4/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="562" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_4" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="563" name="Constant_186637" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="5922900" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="564" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/Add_4" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="420,x.57">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="565" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_14" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="566" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_14" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="436,x.59">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="567" name="Constant_175442" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="437">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="568" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_14" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="438">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="569" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_9" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="false" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="445,context_layer.9">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="570" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_9/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286852" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="571" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_9/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286856" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="572" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_9/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286852" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="573" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_9/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286856" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="574" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_9/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="575" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::transpose/ScatterElementsUpdate_9" type="Const" version="opset1">
|
|
<data element_type="i32" shape="4" offset="5925980" size="16" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="576" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::transpose/Transpose_9" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="446">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="577" name="Constant_186902" type="Const" version="opset1">
|
|
<data element_type="i64" shape="3" offset="5925996" size="24" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>3</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="578" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::flatten/Reshape_4" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>3</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="447">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="579" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.dense/aten::linear/MatMul_4" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="580" name="Constant_186638" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6518916" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="581" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.dense/aten::linear/Add_4" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="450,input.39">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="582" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::add/Add_9" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="452">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="583" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Multiply_8" type="Const" version="opset1">
|
|
<data element_type="i32" shape="1" offset="4031964" size="4" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="584" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/MVN_4" type="MVN" version="opset6">
|
|
<data eps="9.999999960041972e-13" normalize_variance="true" eps_mode="INSIDE_SQRT" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="585" name="Constant_186639" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6521988" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="586" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Multiply_9" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="587" name="Constant_186640" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6525060" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="588" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Add_4" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="456">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="589" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_4/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286860" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="590" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_4/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286864" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="591" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_4/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286860" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="592" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_4/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286864" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="593" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_4/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="594" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_4" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>3072</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="595" name="Constant_186641" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 3072" offset="8899724" size="12288" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="596" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/Add_4" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="459,input.41">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="597" name="Constant_186642" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912012" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="598" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_16" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="460">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="599" name="Constant_186643" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912016" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="600" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::pow/Power_4" type="Power" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="461">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="601" name="Constant_186644" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912020" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="602" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_17" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="462">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="603" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::add/Add_8" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="463">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="604" name="Constant_186645" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912024" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="605" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_18" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="464">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="606" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::tanh/Tanh_4" type="Tanh" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32" names="465">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="607" name="Constant_186646" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="5329988" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="608" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::add/Add_9" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="466">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="609" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_19" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="467">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="610" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_19/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286776" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="611" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_19/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286868" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="612" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_19/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286776" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="613" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_19/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286868" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="614" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_19/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="615" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn_output/aten::linear/MatMul_4" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="616" name="Constant_186647" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11274404" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="617" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn_output/aten::linear/Add_4" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="470,ffn_output.9">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="618" name="__module.encoder.albert_layer_groups.0.albert_layers.0/aten::add/Add_4" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="471">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="619" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Multiply_8" type="Const" version="opset1">
|
|
<data element_type="i32" shape="1" offset="4031964" size="4" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="620" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/MVN_4" type="MVN" version="opset6">
|
|
<data eps="9.999999960041972e-13" normalize_variance="true" eps_mode="INSIDE_SQRT" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="621" name="Constant_186648" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11277476" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="622" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Multiply_9" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="623" name="Constant_186649" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11280548" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="624" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Add_4" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="475,hidden_states.11">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="625" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_5/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286872" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="626" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_5/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286876" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="627" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_5/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286872" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="628" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_5/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286876" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="629" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_5/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="630" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_5" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="631" name="Constant_186650" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="4730864" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="632" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_5" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="490,x.61">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="633" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_5/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286880" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="634" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_5/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286884" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="635" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_5/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286880" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="636" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_5/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286884" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="637" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_5/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="638" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_15" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="639" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_15" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="500,x.63">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="640" name="Constant_175802" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="501">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="641" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_15" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="502">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="642" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_5/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286872" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="643" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_5/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286876" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="644" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_5/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286872" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="645" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_5/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286876" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="646" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_5/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="647" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_5" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="648" name="Constant_186651" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="5326904" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="649" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_5" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="493,x.65">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="650" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_5/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286888" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="651" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_5/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286892" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="652" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_5/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286888" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="653" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_5/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286892" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="654" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_5/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="655" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_16" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="656" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_16" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="506,x.67">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="657" name="Constant_175821" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="507">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="658" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_16" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="508,key_layer.11">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="659" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_10" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="516,attention_scores.21">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="660" name="Constant_186652" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1, 1" offset="5329984" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="661" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::div/Divide_5" type="Divide" version="opset1">
|
|
<data auto_broadcast="numpy" m_pythondiv="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="517,attention_scores.23">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="662" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::add/Add_10" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="518,input.43">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="663" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::softmax/Softmax_5" type="SoftMax" version="opset8">
|
|
<data axis="-1" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32" names="519,input.45">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="664" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_5/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286872" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="665" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_5/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286876" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="666" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_5/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286872" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="667" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_5/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286876" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="668" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_5/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="669" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_5" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="670" name="Constant_186653" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="5922900" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="671" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/Add_5" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="496,x.69">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="672" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_17" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="673" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_17" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="512,x.71">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="674" name="Constant_175840" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="513">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="675" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_17" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="514">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="676" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_11" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="false" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="521,context_layer.11">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="677" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_11/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286896" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="678" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_11/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286900" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="679" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_11/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286896" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="680" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_11/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286900" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="681" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_11/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="682" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::transpose/ScatterElementsUpdate_11" type="Const" version="opset1">
|
|
<data element_type="i32" shape="4" offset="5925980" size="16" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="683" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::transpose/Transpose_11" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="522">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="684" name="Constant_186903" type="Const" version="opset1">
|
|
<data element_type="i64" shape="3" offset="5925996" size="24" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>3</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="685" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::flatten/Reshape_5" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>3</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="523">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="686" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.dense/aten::linear/MatMul_5" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="687" name="Constant_186654" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6518916" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="688" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.dense/aten::linear/Add_5" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="526,input.47">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="689" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::add/Add_11" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="528">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="690" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Multiply_10" type="Const" version="opset1">
|
|
<data element_type="i32" shape="1" offset="4031964" size="4" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="691" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/MVN_5" type="MVN" version="opset6">
|
|
<data eps="9.999999960041972e-13" normalize_variance="true" eps_mode="INSIDE_SQRT" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="692" name="Constant_186655" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6521988" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="693" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Multiply_11" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="694" name="Constant_186656" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6525060" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="695" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Add_5" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="532">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="696" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_5/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286904" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="697" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_5/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286908" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="698" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_5/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286904" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="699" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_5/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286908" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="700" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_5/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="701" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_5" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>3072</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="702" name="Constant_186657" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 3072" offset="8899724" size="12288" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="703" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/Add_5" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="535,input.49">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="704" name="Constant_186658" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912012" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="705" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_20" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="536">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="706" name="Constant_186659" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912016" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="707" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::pow/Power_5" type="Power" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="537">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="708" name="Constant_186660" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912020" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="709" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_21" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="538">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="710" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::add/Add_10" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="539">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="711" name="Constant_186661" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912024" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="712" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_22" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="540">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="713" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::tanh/Tanh_5" type="Tanh" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32" names="541">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="714" name="Constant_186662" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="5329988" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="715" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::add/Add_11" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="542">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="716" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_23" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="543">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="717" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_23/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286776" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="718" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_23/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286912" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="719" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_23/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286776" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="720" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_23/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286912" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="721" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_23/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="722" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn_output/aten::linear/MatMul_5" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="723" name="Constant_186663" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11274404" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="724" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn_output/aten::linear/Add_5" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="546,ffn_output.11">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="725" name="__module.encoder.albert_layer_groups.0.albert_layers.0/aten::add/Add_5" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="547">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="726" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Multiply_10" type="Const" version="opset1">
|
|
<data element_type="i32" shape="1" offset="4031964" size="4" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="727" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/MVN_5" type="MVN" version="opset6">
|
|
<data eps="9.999999960041972e-13" normalize_variance="true" eps_mode="INSIDE_SQRT" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="728" name="Constant_186664" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11277476" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="729" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Multiply_11" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="730" name="Constant_186665" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11280548" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="731" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Add_5" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="551,hidden_states.13">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="732" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_6/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286916" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="733" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_6/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286920" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="734" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_6/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286916" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="735" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_6/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286920" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="736" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_6/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="737" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_6" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="738" name="Constant_186666" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="4730864" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="739" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_6" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="566,x.73">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="740" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_6/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286924" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="741" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_6/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286928" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="742" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_6/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286924" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="743" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_6/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286928" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="744" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_6/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="745" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_18" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="746" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_18" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="576,x.75">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="747" name="Constant_176200" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="577">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="748" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_18" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="578">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="749" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_6/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286916" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="750" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_6/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286920" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="751" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_6/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286916" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="752" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_6/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286920" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="753" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_6/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="754" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_6" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="755" name="Constant_186667" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="5326904" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="756" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_6" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="569,x.77">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="757" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_6/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286932" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="758" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_6/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286936" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="759" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_6/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286932" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="760" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_6/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286936" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="761" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_6/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="762" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_19" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="763" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_19" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="582,x.79">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="764" name="Constant_176219" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="583">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="765" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_19" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="584,key_layer.13">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="766" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_12" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="592,attention_scores.25">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="767" name="Constant_186668" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1, 1" offset="5329984" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="768" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::div/Divide_6" type="Divide" version="opset1">
|
|
<data auto_broadcast="numpy" m_pythondiv="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="593,attention_scores.27">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="769" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::add/Add_12" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="594,input.51">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="770" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::softmax/Softmax_6" type="SoftMax" version="opset8">
|
|
<data axis="-1" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32" names="595,input.53">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="771" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_6/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286916" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="772" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_6/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286920" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="773" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_6/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286916" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="774" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_6/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286920" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="775" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_6/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="776" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_6" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="777" name="Constant_186669" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="5922900" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="778" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/Add_6" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="572,x.81">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="779" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_20" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="780" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_20" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="588,x.83">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="781" name="Constant_176238" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="589">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="782" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_20" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="590">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="783" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_13" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="false" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="597,context_layer.13">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="784" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_13/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286940" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="785" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_13/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286944" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="786" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_13/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286940" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="787" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_13/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286944" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="788" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_13/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="789" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::transpose/ScatterElementsUpdate_13" type="Const" version="opset1">
|
|
<data element_type="i32" shape="4" offset="5925980" size="16" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="790" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::transpose/Transpose_13" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="598">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="791" name="Constant_186904" type="Const" version="opset1">
|
|
<data element_type="i64" shape="3" offset="5925996" size="24" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>3</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="792" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::flatten/Reshape_6" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>3</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="599">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="793" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.dense/aten::linear/MatMul_6" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="794" name="Constant_186670" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6518916" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="795" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.dense/aten::linear/Add_6" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="602,input.55">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="796" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::add/Add_13" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="604">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="797" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Multiply_12" type="Const" version="opset1">
|
|
<data element_type="i32" shape="1" offset="4031964" size="4" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="798" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/MVN_6" type="MVN" version="opset6">
|
|
<data eps="9.999999960041972e-13" normalize_variance="true" eps_mode="INSIDE_SQRT" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="799" name="Constant_186671" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6521988" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="800" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Multiply_13" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="801" name="Constant_186672" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6525060" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="802" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Add_6" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="608">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="803" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_6/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286948" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="804" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_6/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286952" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="805" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_6/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286948" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="806" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_6/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286952" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="807" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_6/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="808" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_6" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>3072</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="809" name="Constant_186673" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 3072" offset="8899724" size="12288" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="810" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/Add_6" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="611,input.57">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="811" name="Constant_186674" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912012" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="812" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_24" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="612">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="813" name="Constant_186675" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912016" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="814" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::pow/Power_6" type="Power" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="613">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="815" name="Constant_186676" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912020" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="816" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_25" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="614">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="817" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::add/Add_12" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="615">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="818" name="Constant_186677" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912024" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="819" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_26" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="616">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="820" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::tanh/Tanh_6" type="Tanh" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32" names="617">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="821" name="Constant_186678" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="5329988" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="822" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::add/Add_13" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="618">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="823" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_27" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="619">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="824" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_27/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="8912028" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="825" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_27/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286956" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="826" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_27/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="8912028" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="827" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_27/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286956" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="828" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_27/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="829" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn_output/aten::linear/MatMul_6" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="830" name="Constant_186679" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11274404" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="831" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn_output/aten::linear/Add_6" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="622,ffn_output.13">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="832" name="__module.encoder.albert_layer_groups.0.albert_layers.0/aten::add/Add_6" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="623">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="833" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Multiply_12" type="Const" version="opset1">
|
|
<data element_type="i32" shape="1" offset="4031964" size="4" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="834" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/MVN_6" type="MVN" version="opset6">
|
|
<data eps="9.999999960041972e-13" normalize_variance="true" eps_mode="INSIDE_SQRT" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="835" name="Constant_186680" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11277476" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="836" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Multiply_13" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="837" name="Constant_186681" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11280548" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="838" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Add_6" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="627,hidden_states.15">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="839" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_7/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286960" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="840" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_7/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286964" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="841" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_7/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286960" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="842" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_7/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286964" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="843" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_7/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="844" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_7" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="845" name="Constant_186682" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="4730864" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="846" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_7" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="642,x.85">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="847" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_7/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286968" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="848" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_7/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286972" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="849" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_7/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286968" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="850" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_7/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286972" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="851" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_7/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="852" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_21" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="853" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_21" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="652,x.87">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="854" name="Constant_176598" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="653">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="855" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_21" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="654">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="856" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_7/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286960" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="857" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_7/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286964" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="858" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_7/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286960" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="859" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_7/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286964" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="860" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_7/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="861" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_7" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="862" name="Constant_186683" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="5326904" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="863" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_7" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="645,x.89">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="864" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_7/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286976" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="865" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_7/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286980" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="866" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_7/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286976" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="867" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_7/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286980" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="868" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_7/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="869" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_22" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="870" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_22" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="658,x.91">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="871" name="Constant_176617" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="659">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="872" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_22" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="660,key_layer.15">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="873" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_14" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="668,attention_scores.29">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="874" name="Constant_186684" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1, 1" offset="5329984" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="875" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::div/Divide_7" type="Divide" version="opset1">
|
|
<data auto_broadcast="numpy" m_pythondiv="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="669,attention_scores.31">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="876" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::add/Add_14" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="670,input.59">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="877" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::softmax/Softmax_7" type="SoftMax" version="opset8">
|
|
<data axis="-1" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32" names="671,input.61">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="878" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_7/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286960" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="879" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_7/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286964" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="880" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_7/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286960" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="881" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_7/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286964" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="882" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_7/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="883" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_7" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="884" name="Constant_186685" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="5922900" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="885" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/Add_7" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="648,x.93">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="886" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_23" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="887" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_23" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="664,x.95">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="888" name="Constant_176636" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="665">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="889" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_23" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="666">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="890" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_15" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="false" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="673,context_layer.15">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="891" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_15/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286984" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="892" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_15/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286988" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="893" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_15/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286984" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="894" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_15/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286988" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="895" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_15/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="896" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::transpose/ScatterElementsUpdate_15" type="Const" version="opset1">
|
|
<data element_type="i32" shape="4" offset="5925980" size="16" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="897" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::transpose/Transpose_15" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="674">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="898" name="Constant_186905" type="Const" version="opset1">
|
|
<data element_type="i64" shape="3" offset="5925996" size="24" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>3</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="899" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::flatten/Reshape_7" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>3</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="675">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="900" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.dense/aten::linear/MatMul_7" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="901" name="Constant_186686" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6518916" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="902" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.dense/aten::linear/Add_7" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="678,input.63">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="903" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::add/Add_15" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="680">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="904" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Multiply_14" type="Const" version="opset1">
|
|
<data element_type="i32" shape="1" offset="4031964" size="4" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="905" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/MVN_7" type="MVN" version="opset6">
|
|
<data eps="9.999999960041972e-13" normalize_variance="true" eps_mode="INSIDE_SQRT" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="906" name="Constant_186687" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6521988" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="907" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Multiply_15" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="908" name="Constant_186688" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6525060" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="909" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Add_7" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="684">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="910" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_7/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286992" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="911" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_7/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286996" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="912" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_7/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286992" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="913" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_7/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286996" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="914" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_7/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="915" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_7" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>3072</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="916" name="Constant_186689" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 3072" offset="8899724" size="12288" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="917" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/Add_7" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="687,input.65">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="918" name="Constant_186690" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912012" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="919" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_28" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="688">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="920" name="Constant_186691" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912016" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="921" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::pow/Power_7" type="Power" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="689">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="922" name="Constant_186692" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912020" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="923" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_29" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="690">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="924" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::add/Add_14" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="691">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="925" name="Constant_186693" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912024" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="926" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_30" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="692">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="927" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::tanh/Tanh_7" type="Tanh" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32" names="693">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="928" name="Constant_186694" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="5329988" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="929" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::add/Add_15" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="694">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="930" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_31" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="695">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="931" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_31/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286776" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="932" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_31/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287000" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="933" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_31/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11286776" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="934" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_31/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287000" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="935" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_31/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="936" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn_output/aten::linear/MatMul_7" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="937" name="Constant_186695" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11274404" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="938" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn_output/aten::linear/Add_7" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="698,ffn_output.15">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="939" name="__module.encoder.albert_layer_groups.0.albert_layers.0/aten::add/Add_7" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="699">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="940" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Multiply_14" type="Const" version="opset1">
|
|
<data element_type="i32" shape="1" offset="4031964" size="4" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="941" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/MVN_7" type="MVN" version="opset6">
|
|
<data eps="9.999999960041972e-13" normalize_variance="true" eps_mode="INSIDE_SQRT" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="942" name="Constant_186696" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11277476" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="943" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Multiply_15" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="944" name="Constant_186697" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11280548" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="945" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Add_7" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="703,hidden_states.17">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="946" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_8/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287004" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="947" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_8/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287008" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="948" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_8/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287004" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="949" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_8/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287008" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="950" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_8/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="951" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_8" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="952" name="Constant_186698" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="4730864" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="953" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_8" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="718,x.97">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="954" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_8/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287012" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="955" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_8/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287016" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="956" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_8/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287012" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="957" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_8/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287016" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="958" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_8/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="959" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_24" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="960" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_24" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="728,x.99">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="961" name="Constant_176996" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="729">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="962" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_24" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="730">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="963" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_8/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287004" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="964" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_8/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287008" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="965" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_8/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287004" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="966" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_8/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287008" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="967" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_8/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="968" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_8" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="969" name="Constant_186699" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="5326904" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="970" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_8" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="721,x.101">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="971" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_8/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287020" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="972" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_8/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287024" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="973" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_8/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287020" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="974" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_8/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287024" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="975" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_8/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="976" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_25" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="977" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_25" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="734,x.103">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="978" name="Constant_177015" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="735">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="979" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_25" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="736,key_layer.17">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="980" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_16" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="744,attention_scores.33">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="981" name="Constant_186700" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1, 1" offset="5329984" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="982" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::div/Divide_8" type="Divide" version="opset1">
|
|
<data auto_broadcast="numpy" m_pythondiv="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="745,attention_scores.35">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="983" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::add/Add_16" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="746,input.67">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="984" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::softmax/Softmax_8" type="SoftMax" version="opset8">
|
|
<data axis="-1" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32" names="747,input.69">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="985" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_8/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287004" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="986" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_8/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287008" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="987" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_8/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287004" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="988" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_8/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287008" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="989" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_8/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="990" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_8" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="991" name="Constant_186701" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="5922900" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="992" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/Add_8" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="724,x.105">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="993" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_26" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="994" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_26" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="740,x.107">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="995" name="Constant_177034" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="741">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="996" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_26" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="742">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="997" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_17" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="false" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="749,context_layer.17">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="998" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_17/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287028" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="999" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_17/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287032" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1000" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_17/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287028" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1001" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_17/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287032" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1002" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_17/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1003" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::transpose/ScatterElementsUpdate_17" type="Const" version="opset1">
|
|
<data element_type="i32" shape="4" offset="5925980" size="16" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1004" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::transpose/Transpose_17" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="750">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1005" name="Constant_186906" type="Const" version="opset1">
|
|
<data element_type="i64" shape="3" offset="5925996" size="24" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>3</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1006" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::flatten/Reshape_8" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>3</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="751">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1007" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.dense/aten::linear/MatMul_8" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1008" name="Constant_186702" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6518916" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1009" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.dense/aten::linear/Add_8" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="754,input.71">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1010" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::add/Add_17" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="756">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1011" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Multiply_16" type="Const" version="opset1">
|
|
<data element_type="i32" shape="1" offset="4031964" size="4" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1012" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/MVN_8" type="MVN" version="opset6">
|
|
<data eps="9.999999960041972e-13" normalize_variance="true" eps_mode="INSIDE_SQRT" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1013" name="Constant_186703" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6521988" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1014" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Multiply_17" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1015" name="Constant_186704" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6525060" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1016" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Add_8" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="760">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1017" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_8/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287036" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1018" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_8/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287040" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1019" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_8/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287036" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1020" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_8/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287040" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1021" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_8/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1022" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_8" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>3072</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1023" name="Constant_186705" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 3072" offset="8899724" size="12288" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1024" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/Add_8" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="763,input.73">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1025" name="Constant_186706" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912012" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1026" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_32" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="764">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1027" name="Constant_186707" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912016" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1028" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::pow/Power_8" type="Power" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="765">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1029" name="Constant_186708" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912020" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1030" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_33" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="766">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1031" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::add/Add_16" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="767">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1032" name="Constant_186709" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912024" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1033" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_34" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="768">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1034" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::tanh/Tanh_8" type="Tanh" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32" names="769">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1035" name="Constant_186710" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="5329988" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1036" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::add/Add_17" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="770">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1037" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_35" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="771">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1038" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_35/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287044" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1039" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_35/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287048" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1040" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_35/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287044" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1041" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_35/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287048" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1042" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_35/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1043" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn_output/aten::linear/MatMul_8" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1044" name="Constant_186711" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11274404" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1045" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn_output/aten::linear/Add_8" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="774,ffn_output.17">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1046" name="__module.encoder.albert_layer_groups.0.albert_layers.0/aten::add/Add_8" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="775">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1047" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Multiply_16" type="Const" version="opset1">
|
|
<data element_type="i32" shape="1" offset="4031964" size="4" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1048" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/MVN_8" type="MVN" version="opset6">
|
|
<data eps="9.999999960041972e-13" normalize_variance="true" eps_mode="INSIDE_SQRT" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1049" name="Constant_186712" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11277476" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1050" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Multiply_17" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1051" name="Constant_186713" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11280548" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1052" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Add_8" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="779,hidden_states.19">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1053" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_9/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287052" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1054" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_9/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287056" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1055" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_9/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287052" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1056" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_9/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287056" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1057" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_9/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1058" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_9" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1059" name="Constant_186714" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="4730864" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1060" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_9" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="794,x.109">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1061" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_9/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287060" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1062" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_9/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287064" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1063" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_9/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287060" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1064" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_9/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287064" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1065" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_9/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1066" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_27" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1067" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_27" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="804,x.111">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1068" name="Constant_177394" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="805">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1069" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_27" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="806">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1070" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_9/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287052" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1071" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_9/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287056" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1072" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_9/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287052" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1073" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_9/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287056" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1074" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_9/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1075" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_9" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1076" name="Constant_186715" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="5326904" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1077" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_9" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="797,x.113">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1078" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_9/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287068" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1079" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_9/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287072" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1080" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_9/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287068" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1081" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_9/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287072" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1082" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_9/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1083" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_28" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1084" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_28" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="810,x.115">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1085" name="Constant_177413" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="811">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1086" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_28" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="812,key_layer.19">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1087" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_18" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="820,attention_scores.37">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1088" name="Constant_186716" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1, 1" offset="5329984" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1089" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::div/Divide_9" type="Divide" version="opset1">
|
|
<data auto_broadcast="numpy" m_pythondiv="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="821,attention_scores.39">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1090" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::add/Add_18" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="822,input.75">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1091" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::softmax/Softmax_9" type="SoftMax" version="opset8">
|
|
<data axis="-1" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32" names="823,input.77">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1092" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_9/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287052" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1093" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_9/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287056" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1094" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_9/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287052" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1095" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_9/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287056" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1096" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_9/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1097" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_9" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1098" name="Constant_186717" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="5922900" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1099" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/Add_9" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="800,x.117">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1100" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_29" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1101" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_29" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="816,x.119">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1102" name="Constant_177432" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="817">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1103" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_29" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="818">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1104" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_19" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="false" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="825,context_layer.19">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1105" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_19/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287076" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1106" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_19/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287080" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1107" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_19/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287076" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1108" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_19/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287080" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1109" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_19/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1110" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::transpose/ScatterElementsUpdate_19" type="Const" version="opset1">
|
|
<data element_type="i32" shape="4" offset="5925980" size="16" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1111" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::transpose/Transpose_19" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="826">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1112" name="Constant_186907" type="Const" version="opset1">
|
|
<data element_type="i64" shape="3" offset="5925996" size="24" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>3</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1113" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::flatten/Reshape_9" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>3</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="827">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1114" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.dense/aten::linear/MatMul_9" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1115" name="Constant_186718" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6518916" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1116" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.dense/aten::linear/Add_9" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="830,input.79">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1117" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::add/Add_19" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="832">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1118" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Multiply_18" type="Const" version="opset1">
|
|
<data element_type="i32" shape="1" offset="4031964" size="4" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1119" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/MVN_9" type="MVN" version="opset6">
|
|
<data eps="9.999999960041972e-13" normalize_variance="true" eps_mode="INSIDE_SQRT" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1120" name="Constant_186719" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6521988" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1121" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Multiply_19" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1122" name="Constant_186720" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6525060" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1123" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Add_9" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="836">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1124" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_9/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287084" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1125" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_9/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287088" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1126" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_9/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287084" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1127" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_9/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11287088" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1128" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_9/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1129" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_9" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>3072</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1130" name="Constant_186721" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 3072" offset="11287092" size="12288" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1131" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/Add_9" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="839,input.81">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1132" name="Constant_186722" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912012" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1133" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_36" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="840">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1134" name="Constant_186723" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912016" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1135" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::pow/Power_9" type="Power" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="841">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1136" name="Constant_186724" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912020" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1137" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_37" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="842">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1138" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::add/Add_18" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="843">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1139" name="Constant_186725" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912024" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1140" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_38" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="844">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1141" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::tanh/Tanh_9" type="Tanh" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32" names="845">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1142" name="Constant_186726" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="5329988" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1143" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::add/Add_19" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="846">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1144" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_39" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="847">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1145" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_39/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299380" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1146" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_39/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299384" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1147" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_39/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299380" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1148" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_39/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299384" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1149" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_39/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1150" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn_output/aten::linear/MatMul_9" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1151" name="Constant_186727" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11274404" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1152" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn_output/aten::linear/Add_9" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="850,ffn_output.19">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1153" name="__module.encoder.albert_layer_groups.0.albert_layers.0/aten::add/Add_9" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="851">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1154" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Multiply_18" type="Const" version="opset1">
|
|
<data element_type="i32" shape="1" offset="4031964" size="4" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1155" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/MVN_9" type="MVN" version="opset6">
|
|
<data eps="9.999999960041972e-13" normalize_variance="true" eps_mode="INSIDE_SQRT" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1156" name="Constant_186728" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11277476" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1157" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Multiply_19" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1158" name="Constant_186729" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11280548" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1159" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Add_9" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="855,hidden_states.21">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1160" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_10/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299388" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1161" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_10/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299392" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1162" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_10/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299388" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1163" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_10/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299392" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1164" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_10/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1165" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_10" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1166" name="Constant_186730" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="4730864" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1167" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_10" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="870,x.121">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1168" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_10/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299396" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1169" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_10/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299400" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1170" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_10/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299396" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1171" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_10/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299400" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1172" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_10/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1173" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_30" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1174" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_30" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="880,x.123">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1175" name="Constant_177792" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="881">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1176" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_30" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="882">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1177" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_10/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299388" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1178" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_10/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299392" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1179" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_10/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299388" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1180" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_10/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299392" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1181" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_10/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1182" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_10" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1183" name="Constant_186731" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="5326904" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1184" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_10" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="873,x.125">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1185" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_10/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299404" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1186" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_10/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299408" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1187" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_10/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299404" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1188" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_10/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299408" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1189" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_10/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1190" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_31" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1191" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_31" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="886,x.127">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1192" name="Constant_177811" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="887">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1193" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_31" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="888,key_layer.21">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1194" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_20" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="896,attention_scores.41">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1195" name="Constant_186732" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1, 1" offset="5329984" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1196" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::div/Divide_10" type="Divide" version="opset1">
|
|
<data auto_broadcast="numpy" m_pythondiv="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="897,attention_scores.43">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1197" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::add/Add_20" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="898,input.83">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1198" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::softmax/Softmax_10" type="SoftMax" version="opset8">
|
|
<data axis="-1" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32" names="899,input.85">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1199" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_10/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299388" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1200" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_10/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299392" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1201" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_10/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299388" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1202" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_10/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299392" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1203" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_10/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1204" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_10" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1205" name="Constant_186733" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="5922900" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1206" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/Add_10" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="876,x.129">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1207" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_32" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1208" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_32" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="892,x.131">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1209" name="Constant_177830" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="893">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1210" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_32" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="894">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1211" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_21" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="false" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="901,context_layer.21">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1212" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_21/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299412" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1213" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_21/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299416" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1214" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_21/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299412" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1215" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_21/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299416" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1216" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_21/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1217" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::transpose/ScatterElementsUpdate_21" type="Const" version="opset1">
|
|
<data element_type="i32" shape="4" offset="5925980" size="16" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1218" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::transpose/Transpose_21" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="902">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1219" name="Constant_186908" type="Const" version="opset1">
|
|
<data element_type="i64" shape="3" offset="5925996" size="24" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>3</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1220" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::flatten/Reshape_10" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>3</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="903">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1221" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.dense/aten::linear/MatMul_10" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1222" name="Constant_186734" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6518916" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1223" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.dense/aten::linear/Add_10" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="906,input.87">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1224" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::add/Add_21" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="908">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1225" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Multiply_20" type="Const" version="opset1">
|
|
<data element_type="i32" shape="1" offset="4031964" size="4" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1226" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/MVN_10" type="MVN" version="opset6">
|
|
<data eps="9.999999960041972e-13" normalize_variance="true" eps_mode="INSIDE_SQRT" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1227" name="Constant_186735" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6521988" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1228" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Multiply_21" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1229" name="Constant_186736" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6525060" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1230" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Add_10" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="912">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1231" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_10/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299420" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1232" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_10/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299424" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1233" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_10/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299420" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1234" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_10/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299424" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1235" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_10/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1236" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_10" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>3072</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1237" name="Constant_186737" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 3072" offset="8899724" size="12288" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1238" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/Add_10" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="915,input.89">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1239" name="Constant_186738" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912012" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1240" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_40" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="916">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1241" name="Constant_186739" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912016" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1242" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::pow/Power_10" type="Power" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="917">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1243" name="Constant_186740" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912020" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1244" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_41" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="918">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1245" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::add/Add_20" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="919">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1246" name="Constant_186741" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912024" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1247" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_42" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="920">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1248" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::tanh/Tanh_10" type="Tanh" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32" names="921">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1249" name="Constant_186742" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="5329988" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1250" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::add/Add_21" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="922">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1251" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_43" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="923">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1252" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_43/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299428" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1253" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_43/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299432" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1254" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_43/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299428" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1255" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_43/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299432" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1256" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_43/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1257" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn_output/aten::linear/MatMul_10" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1258" name="Constant_186743" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11274404" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1259" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn_output/aten::linear/Add_10" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="926,ffn_output.21">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1260" name="__module.encoder.albert_layer_groups.0.albert_layers.0/aten::add/Add_10" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="927">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1261" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Multiply_20" type="Const" version="opset1">
|
|
<data element_type="i32" shape="1" offset="4031964" size="4" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1262" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/MVN_10" type="MVN" version="opset6">
|
|
<data eps="9.999999960041972e-13" normalize_variance="true" eps_mode="INSIDE_SQRT" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1263" name="Constant_186744" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11277476" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1264" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Multiply_21" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1265" name="Constant_186745" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11280548" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1266" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Add_10" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="931,hidden_states">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1267" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_11/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299436" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1268" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_11/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299440" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1269" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_11/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299436" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1270" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_11/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299440" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1271" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_11/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1272" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/MatMul_11" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1273" name="Constant_186746" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="4730864" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1274" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_11" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="946,x.133">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1275" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_11/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299444" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1276" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_11/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299448" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1277" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_11/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299444" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1278" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_11/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299448" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1279" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.query/aten::linear/Add_11/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1280" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_33" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1281" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_33" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="956,x.135">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1282" name="Constant_178190" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="957">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1283" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_33" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="958">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1284" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_11/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299436" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1285" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_11/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299440" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1286" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_11/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299436" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1287" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_11/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299440" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1288" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_11/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1289" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/MatMul_11" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1290" name="Constant_186747" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="5326904" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1291" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_11" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="949,x.137">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1292" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_11/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299452" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1293" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_11/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299456" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1294" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_11/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299452" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1295" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_11/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299456" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1296" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.key/aten::linear/Add_11/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1297" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_34" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1298" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_34" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="962,x.139">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1299" name="Constant_178209" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="963">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1300" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_34" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="964,key_layer">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1301" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_22" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="972,attention_scores.45">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1302" name="Constant_186748" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1, 1" offset="5329984" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1303" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::div/Divide_11" type="Divide" version="opset1">
|
|
<data auto_broadcast="numpy" m_pythondiv="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="973,attention_scores">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1304" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::add/Add_22" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="974,input.91">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1305" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::softmax/Softmax_11" type="SoftMax" version="opset8">
|
|
<data axis="-1" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32" names="975,input.93">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1306" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_11/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299436" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1307" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_11/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299440" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1308" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_11/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299436" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1309" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_11/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299440" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1310" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_11/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1311" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/MatMul_11" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1312" name="Constant_186749" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="5922900" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1313" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.value/aten::linear/Add_11" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="952,x.141">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1314" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/prim::ListConstruct/Concat_35" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733944" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1315" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::view/Reshape_35" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="968,x">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1316" name="Constant_178228" type="Const" version="opset1">
|
|
<data element_type="i64" shape="4" offset="4733976" size="32" />
|
|
<output>
|
|
<port id="0" precision="I64" names="969">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1317" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::permute/Transpose_35" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="970">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1318" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_23" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="false" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="977,context_layer">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1319" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_23/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299460" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1320" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_23/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299464" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1321" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_23/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299460" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1322" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_23/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299464" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1323" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::matmul/MatMul_23/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1324" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::transpose/ScatterElementsUpdate_23" type="Const" version="opset1">
|
|
<data element_type="i32" shape="4" offset="5925980" size="16" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>4</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1325" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::transpose/Transpose_23" type="Transpose" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>-1</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>4</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="978">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1326" name="Constant_186909" type="Const" version="opset1">
|
|
<data element_type="i64" shape="3" offset="5925996" size="24" />
|
|
<output>
|
|
<port id="0" precision="I64">
|
|
<dim>3</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1327" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::flatten/Reshape_11" type="Reshape" version="opset1">
|
|
<data special_zero="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>12</dim>
|
|
<dim>64</dim>
|
|
</port>
|
|
<port id="1" precision="I64">
|
|
<dim>3</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="979">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1328" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.dense/aten::linear/MatMul_11" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1329" name="Constant_186750" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6518916" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1330" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.dense/aten::linear/Add_11" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="982,input.95">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1331" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention/aten::add/Add_23" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="984">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1332" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Multiply_22" type="Const" version="opset1">
|
|
<data element_type="i32" shape="1" offset="4031964" size="4" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1333" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/MVN_11" type="MVN" version="opset6">
|
|
<data eps="9.999999960041972e-13" normalize_variance="true" eps_mode="INSIDE_SQRT" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1334" name="Constant_186751" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6521988" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1335" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Multiply_23" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1336" name="Constant_186752" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="6525060" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1337" name="__module.encoder.albert_layer_groups.0.albert_layers.0.attention.LayerNorm/aten::layer_norm/Add_11" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="988">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1338" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_11/fq_input_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299468" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1339" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_11/fq_input_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299472" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1340" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_11/fq_input_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299468" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1341" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_11/fq_input_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299472" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1342" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_11/fq_input_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1343" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/MatMul_11" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>3072</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1344" name="Constant_186753" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 3072" offset="8899724" size="12288" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1345" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn/aten::linear/Add_11" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="991,input">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1346" name="Constant_186754" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912012" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1347" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_44" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="992">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1348" name="Constant_186755" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912016" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1349" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::pow/Power_11" type="Power" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="993">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1350" name="Constant_186756" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912020" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1351" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_45" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="994">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1352" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::add/Add_22" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="995">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1353" name="Constant_186757" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="8912024" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1354" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_46" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="996">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1355" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::tanh/Tanh_11" type="Tanh" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="1" precision="FP32" names="997">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1356" name="Constant_186758" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 1" offset="5329988" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1357" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::add/Add_23" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="998">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1358" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_47" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="999">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1359" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_47/fq_output_0/input_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="8912028" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1360" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_47/fq_output_0/input_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299476" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1361" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_47/fq_output_0/output_low" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="8912028" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1362" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_47/fq_output_0/output_high" type="Const" version="opset1">
|
|
<data element_type="f32" shape="" offset="11299476" size="4" />
|
|
<output>
|
|
<port id="0" precision="FP32" />
|
|
</output>
|
|
</layer>
|
|
<layer id="1363" name="__module.encoder.albert_layer_groups.0.albert_layers.0.activation/aten::mul/Multiply_47/fq_output_0" type="FakeQuantize" version="opset1">
|
|
<data levels="256" auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32" />
|
|
<port id="2" precision="FP32" />
|
|
<port id="3" precision="FP32" />
|
|
<port id="4" precision="FP32" />
|
|
</input>
|
|
<output>
|
|
<port id="5" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1364" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn_output/aten::linear/MatMul_11" type="MatMul" version="opset1">
|
|
<data transpose_a="false" transpose_b="true" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>768</dim>
|
|
<dim>3072</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1365" name="Constant_186759" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11274404" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1366" name="__module.encoder.albert_layer_groups.0.albert_layers.0.ffn_output/aten::linear/Add_11" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="1002,ffn_output.23">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1367" name="__module.encoder.albert_layer_groups.0.albert_layers.0/aten::add/Add_11" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="1003">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1368" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Multiply_22" type="Const" version="opset1">
|
|
<data element_type="i32" shape="1" offset="4031964" size="4" />
|
|
<output>
|
|
<port id="0" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1369" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/MVN_11" type="MVN" version="opset6">
|
|
<data eps="9.999999960041972e-13" normalize_variance="true" eps_mode="INSIDE_SQRT" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="I32">
|
|
<dim>1</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1370" name="Constant_186760" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11277476" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1371" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Multiply_23" type="Multiply" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1372" name="Constant_186761" type="Const" version="opset1">
|
|
<data element_type="f32" shape="1, 1, 768" offset="11280548" size="3072" />
|
|
<output>
|
|
<port id="0" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1373" name="__module.encoder.albert_layer_groups.0.albert_layers.0.full_layer_layer_norm/aten::layer_norm/Add_11" type="Add" version="opset1">
|
|
<data auto_broadcast="numpy" />
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
<port id="1" precision="FP32">
|
|
<dim>1</dim>
|
|
<dim>1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
<output>
|
|
<port id="2" precision="FP32" names="last_hidden_state">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</output>
|
|
</layer>
|
|
<layer id="1374" name="Result_181990" type="Result" version="opset1">
|
|
<input>
|
|
<port id="0" precision="FP32">
|
|
<dim>-1</dim>
|
|
<dim>-1</dim>
|
|
<dim>768</dim>
|
|
</port>
|
|
</input>
|
|
</layer>
|
|
</layers>
|
|
<edges>
|
|
<edge from-layer="0" from-port="0" to-layer="14" to-port="0" />
|
|
<edge from-layer="1" from-port="0" to-layer="102" to-port="0" />
|
|
<edge from-layer="2" from-port="0" to-layer="7" to-port="0" />
|
|
<edge from-layer="2" from-port="0" to-layer="24" to-port="0" />
|
|
<edge from-layer="3" from-port="0" to-layer="4" to-port="0" />
|
|
<edge from-layer="4" from-port="1" to-layer="6" to-port="0" />
|
|
<edge from-layer="5" from-port="0" to-layer="6" to-port="1" />
|
|
<edge from-layer="6" from-port="2" to-layer="9" to-port="0" />
|
|
<edge from-layer="7" from-port="1" to-layer="9" to-port="1" />
|
|
<edge from-layer="8" from-port="0" to-layer="9" to-port="2" />
|
|
<edge from-layer="9" from-port="3" to-layer="17" to-port="0" />
|
|
<edge from-layer="10" from-port="0" to-layer="11" to-port="0" />
|
|
<edge from-layer="11" from-port="1" to-layer="13" to-port="0" />
|
|
<edge from-layer="12" from-port="0" to-layer="13" to-port="1" />
|
|
<edge from-layer="13" from-port="2" to-layer="16" to-port="0" />
|
|
<edge from-layer="14" from-port="1" to-layer="16" to-port="1" />
|
|
<edge from-layer="15" from-port="0" to-layer="16" to-port="2" />
|
|
<edge from-layer="16" from-port="3" to-layer="17" to-port="1" />
|
|
<edge from-layer="17" from-port="2" to-layer="34" to-port="0" />
|
|
<edge from-layer="18" from-port="0" to-layer="19" to-port="0" />
|
|
<edge from-layer="19" from-port="1" to-layer="21" to-port="0" />
|
|
<edge from-layer="20" from-port="0" to-layer="21" to-port="1" />
|
|
<edge from-layer="21" from-port="2" to-layer="33" to-port="0" />
|
|
<edge from-layer="22" from-port="0" to-layer="30" to-port="0" />
|
|
<edge from-layer="23" from-port="0" to-layer="30" to-port="1" />
|
|
<edge from-layer="24" from-port="1" to-layer="27" to-port="0" />
|
|
<edge from-layer="25" from-port="0" to-layer="27" to-port="1" />
|
|
<edge from-layer="26" from-port="0" to-layer="27" to-port="2" />
|
|
<edge from-layer="27" from-port="3" to-layer="30" to-port="2" />
|
|
<edge from-layer="28" from-port="0" to-layer="30" to-port="3" />
|
|
<edge from-layer="29" from-port="0" to-layer="30" to-port="4" />
|
|
<edge from-layer="30" from-port="5" to-layer="31" to-port="0" />
|
|
<edge from-layer="31" from-port="1" to-layer="33" to-port="1" />
|
|
<edge from-layer="32" from-port="0" to-layer="33" to-port="2" />
|
|
<edge from-layer="33" from-port="3" to-layer="34" to-port="1" />
|
|
<edge from-layer="34" from-port="2" to-layer="36" to-port="0" />
|
|
<edge from-layer="35" from-port="0" to-layer="36" to-port="1" />
|
|
<edge from-layer="36" from-port="2" to-layer="38" to-port="0" />
|
|
<edge from-layer="37" from-port="0" to-layer="38" to-port="1" />
|
|
<edge from-layer="38" from-port="2" to-layer="40" to-port="0" />
|
|
<edge from-layer="39" from-port="0" to-layer="40" to-port="1" />
|
|
<edge from-layer="40" from-port="2" to-layer="42" to-port="0" />
|
|
<edge from-layer="41" from-port="0" to-layer="42" to-port="1" />
|
|
<edge from-layer="42" from-port="2" to-layer="47" to-port="0" />
|
|
<edge from-layer="43" from-port="0" to-layer="47" to-port="1" />
|
|
<edge from-layer="44" from-port="0" to-layer="47" to-port="2" />
|
|
<edge from-layer="45" from-port="0" to-layer="47" to-port="3" />
|
|
<edge from-layer="46" from-port="0" to-layer="47" to-port="4" />
|
|
<edge from-layer="47" from-port="5" to-layer="52" to-port="0" />
|
|
<edge from-layer="48" from-port="0" to-layer="49" to-port="0" />
|
|
<edge from-layer="49" from-port="1" to-layer="51" to-port="0" />
|
|
<edge from-layer="50" from-port="0" to-layer="51" to-port="1" />
|
|
<edge from-layer="51" from-port="2" to-layer="52" to-port="1" />
|
|
<edge from-layer="52" from-port="2" to-layer="54" to-port="0" />
|
|
<edge from-layer="53" from-port="0" to-layer="54" to-port="1" />
|
|
<edge from-layer="54" from-port="2" to-layer="59" to-port="0" />
|
|
<edge from-layer="54" from-port="2" to-layer="80" to-port="0" />
|
|
<edge from-layer="54" from-port="2" to-layer="146" to-port="0" />
|
|
<edge from-layer="54" from-port="2" to-layer="117" to-port="0" />
|
|
<edge from-layer="55" from-port="0" to-layer="59" to-port="1" />
|
|
<edge from-layer="56" from-port="0" to-layer="59" to-port="2" />
|
|
<edge from-layer="57" from-port="0" to-layer="59" to-port="3" />
|
|
<edge from-layer="58" from-port="0" to-layer="59" to-port="4" />
|
|
<edge from-layer="59" from-port="5" to-layer="64" to-port="0" />
|
|
<edge from-layer="60" from-port="0" to-layer="61" to-port="0" />
|
|
<edge from-layer="61" from-port="1" to-layer="63" to-port="0" />
|
|
<edge from-layer="62" from-port="0" to-layer="63" to-port="1" />
|
|
<edge from-layer="63" from-port="2" to-layer="523" to-port="1" />
|
|
<edge from-layer="63" from-port="2" to-layer="64" to-port="1" />
|
|
<edge from-layer="63" from-port="2" to-layer="416" to-port="1" />
|
|
<edge from-layer="63" from-port="2" to-layer="309" to-port="1" />
|
|
<edge from-layer="63" from-port="2" to-layer="1272" to-port="1" />
|
|
<edge from-layer="63" from-port="2" to-layer="1165" to-port="1" />
|
|
<edge from-layer="63" from-port="2" to-layer="1058" to-port="1" />
|
|
<edge from-layer="63" from-port="2" to-layer="951" to-port="1" />
|
|
<edge from-layer="63" from-port="2" to-layer="844" to-port="1" />
|
|
<edge from-layer="63" from-port="2" to-layer="737" to-port="1" />
|
|
<edge from-layer="63" from-port="2" to-layer="202" to-port="1" />
|
|
<edge from-layer="63" from-port="2" to-layer="630" to-port="1" />
|
|
<edge from-layer="64" from-port="2" to-layer="66" to-port="0" />
|
|
<edge from-layer="65" from-port="0" to-layer="66" to-port="1" />
|
|
<edge from-layer="66" from-port="2" to-layer="71" to-port="0" />
|
|
<edge from-layer="67" from-port="0" to-layer="71" to-port="1" />
|
|
<edge from-layer="68" from-port="0" to-layer="71" to-port="2" />
|
|
<edge from-layer="69" from-port="0" to-layer="71" to-port="3" />
|
|
<edge from-layer="70" from-port="0" to-layer="71" to-port="4" />
|
|
<edge from-layer="71" from-port="5" to-layer="73" to-port="0" />
|
|
<edge from-layer="72" from-port="0" to-layer="73" to-port="1" />
|
|
<edge from-layer="73" from-port="2" to-layer="75" to-port="0" />
|
|
<edge from-layer="74" from-port="0" to-layer="75" to-port="1" />
|
|
<edge from-layer="75" from-port="2" to-layer="97" to-port="0" />
|
|
<edge from-layer="76" from-port="0" to-layer="80" to-port="1" />
|
|
<edge from-layer="77" from-port="0" to-layer="80" to-port="2" />
|
|
<edge from-layer="78" from-port="0" to-layer="80" to-port="3" />
|
|
<edge from-layer="79" from-port="0" to-layer="80" to-port="4" />
|
|
<edge from-layer="80" from-port="5" to-layer="85" to-port="0" />
|
|
<edge from-layer="81" from-port="0" to-layer="82" to-port="0" />
|
|
<edge from-layer="82" from-port="1" to-layer="84" to-port="0" />
|
|
<edge from-layer="83" from-port="0" to-layer="84" to-port="1" />
|
|
<edge from-layer="84" from-port="2" to-layer="85" to-port="1" />
|
|
<edge from-layer="84" from-port="2" to-layer="754" to-port="1" />
|
|
<edge from-layer="84" from-port="2" to-layer="861" to-port="1" />
|
|
<edge from-layer="84" from-port="2" to-layer="968" to-port="1" />
|
|
<edge from-layer="84" from-port="2" to-layer="1075" to-port="1" />
|
|
<edge from-layer="84" from-port="2" to-layer="1182" to-port="1" />
|
|
<edge from-layer="84" from-port="2" to-layer="1289" to-port="1" />
|
|
<edge from-layer="84" from-port="2" to-layer="219" to-port="1" />
|
|
<edge from-layer="84" from-port="2" to-layer="326" to-port="1" />
|
|
<edge from-layer="84" from-port="2" to-layer="433" to-port="1" />
|
|
<edge from-layer="84" from-port="2" to-layer="647" to-port="1" />
|
|
<edge from-layer="84" from-port="2" to-layer="540" to-port="1" />
|
|
<edge from-layer="85" from-port="2" to-layer="87" to-port="0" />
|
|
<edge from-layer="86" from-port="0" to-layer="87" to-port="1" />
|
|
<edge from-layer="87" from-port="2" to-layer="92" to-port="0" />
|
|
<edge from-layer="88" from-port="0" to-layer="92" to-port="1" />
|
|
<edge from-layer="89" from-port="0" to-layer="92" to-port="2" />
|
|
<edge from-layer="90" from-port="0" to-layer="92" to-port="3" />
|
|
<edge from-layer="91" from-port="0" to-layer="92" to-port="4" />
|
|
<edge from-layer="92" from-port="5" to-layer="94" to-port="0" />
|
|
<edge from-layer="93" from-port="0" to-layer="94" to-port="1" />
|
|
<edge from-layer="94" from-port="2" to-layer="96" to-port="0" />
|
|
<edge from-layer="95" from-port="0" to-layer="96" to-port="1" />
|
|
<edge from-layer="96" from-port="2" to-layer="97" to-port="1" />
|
|
<edge from-layer="97" from-port="2" to-layer="99" to-port="0" />
|
|
<edge from-layer="98" from-port="0" to-layer="99" to-port="1" />
|
|
<edge from-layer="99" from-port="2" to-layer="111" to-port="0" />
|
|
<edge from-layer="100" from-port="0" to-layer="108" to-port="0" />
|
|
<edge from-layer="101" from-port="0" to-layer="102" to-port="1" />
|
|
<edge from-layer="102" from-port="2" to-layer="104" to-port="0" />
|
|
<edge from-layer="103" from-port="0" to-layer="104" to-port="1" />
|
|
<edge from-layer="104" from-port="2" to-layer="105" to-port="0" />
|
|
<edge from-layer="105" from-port="1" to-layer="107" to-port="0" />
|
|
<edge from-layer="106" from-port="0" to-layer="107" to-port="1" />
|
|
<edge from-layer="107" from-port="2" to-layer="108" to-port="1" />
|
|
<edge from-layer="108" from-port="2" to-layer="110" to-port="0" />
|
|
<edge from-layer="109" from-port="0" to-layer="110" to-port="1" />
|
|
<edge from-layer="110" from-port="2" to-layer="555" to-port="1" />
|
|
<edge from-layer="110" from-port="2" to-layer="769" to-port="1" />
|
|
<edge from-layer="110" from-port="2" to-layer="662" to-port="1" />
|
|
<edge from-layer="110" from-port="2" to-layer="876" to-port="1" />
|
|
<edge from-layer="110" from-port="2" to-layer="341" to-port="1" />
|
|
<edge from-layer="110" from-port="2" to-layer="234" to-port="1" />
|
|
<edge from-layer="110" from-port="2" to-layer="111" to-port="1" />
|
|
<edge from-layer="110" from-port="2" to-layer="983" to-port="1" />
|
|
<edge from-layer="110" from-port="2" to-layer="1197" to-port="1" />
|
|
<edge from-layer="110" from-port="2" to-layer="448" to-port="1" />
|
|
<edge from-layer="110" from-port="2" to-layer="1090" to-port="1" />
|
|
<edge from-layer="110" from-port="2" to-layer="1304" to-port="1" />
|
|
<edge from-layer="111" from-port="2" to-layer="112" to-port="0" />
|
|
<edge from-layer="112" from-port="1" to-layer="129" to-port="0" />
|
|
<edge from-layer="113" from-port="0" to-layer="117" to-port="1" />
|
|
<edge from-layer="114" from-port="0" to-layer="117" to-port="2" />
|
|
<edge from-layer="115" from-port="0" to-layer="117" to-port="3" />
|
|
<edge from-layer="116" from-port="0" to-layer="117" to-port="4" />
|
|
<edge from-layer="117" from-port="5" to-layer="122" to-port="0" />
|
|
<edge from-layer="118" from-port="0" to-layer="119" to-port="0" />
|
|
<edge from-layer="119" from-port="1" to-layer="121" to-port="0" />
|
|
<edge from-layer="120" from-port="0" to-layer="121" to-port="1" />
|
|
<edge from-layer="121" from-port="2" to-layer="990" to-port="1" />
|
|
<edge from-layer="121" from-port="2" to-layer="455" to-port="1" />
|
|
<edge from-layer="121" from-port="2" to-layer="122" to-port="1" />
|
|
<edge from-layer="121" from-port="2" to-layer="1097" to-port="1" />
|
|
<edge from-layer="121" from-port="2" to-layer="1204" to-port="1" />
|
|
<edge from-layer="121" from-port="2" to-layer="776" to-port="1" />
|
|
<edge from-layer="121" from-port="2" to-layer="1311" to-port="1" />
|
|
<edge from-layer="121" from-port="2" to-layer="348" to-port="1" />
|
|
<edge from-layer="121" from-port="2" to-layer="241" to-port="1" />
|
|
<edge from-layer="121" from-port="2" to-layer="883" to-port="1" />
|
|
<edge from-layer="121" from-port="2" to-layer="669" to-port="1" />
|
|
<edge from-layer="121" from-port="2" to-layer="562" to-port="1" />
|
|
<edge from-layer="122" from-port="2" to-layer="124" to-port="0" />
|
|
<edge from-layer="123" from-port="0" to-layer="124" to-port="1" />
|
|
<edge from-layer="124" from-port="2" to-layer="126" to-port="0" />
|
|
<edge from-layer="125" from-port="0" to-layer="126" to-port="1" />
|
|
<edge from-layer="126" from-port="2" to-layer="128" to-port="0" />
|
|
<edge from-layer="127" from-port="0" to-layer="128" to-port="1" />
|
|
<edge from-layer="128" from-port="2" to-layer="129" to-port="1" />
|
|
<edge from-layer="129" from-port="2" to-layer="134" to-port="0" />
|
|
<edge from-layer="130" from-port="0" to-layer="134" to-port="1" />
|
|
<edge from-layer="131" from-port="0" to-layer="134" to-port="2" />
|
|
<edge from-layer="132" from-port="0" to-layer="134" to-port="3" />
|
|
<edge from-layer="133" from-port="0" to-layer="134" to-port="4" />
|
|
<edge from-layer="134" from-port="5" to-layer="136" to-port="0" />
|
|
<edge from-layer="135" from-port="0" to-layer="136" to-port="1" />
|
|
<edge from-layer="136" from-port="2" to-layer="138" to-port="0" />
|
|
<edge from-layer="137" from-port="0" to-layer="138" to-port="1" />
|
|
<edge from-layer="138" from-port="2" to-layer="143" to-port="0" />
|
|
<edge from-layer="139" from-port="0" to-layer="140" to-port="0" />
|
|
<edge from-layer="140" from-port="1" to-layer="142" to-port="0" />
|
|
<edge from-layer="141" from-port="0" to-layer="142" to-port="1" />
|
|
<edge from-layer="142" from-port="2" to-layer="1114" to-port="1" />
|
|
<edge from-layer="142" from-port="2" to-layer="900" to-port="1" />
|
|
<edge from-layer="142" from-port="2" to-layer="143" to-port="1" />
|
|
<edge from-layer="142" from-port="2" to-layer="1328" to-port="1" />
|
|
<edge from-layer="142" from-port="2" to-layer="365" to-port="1" />
|
|
<edge from-layer="142" from-port="2" to-layer="472" to-port="1" />
|
|
<edge from-layer="142" from-port="2" to-layer="579" to-port="1" />
|
|
<edge from-layer="142" from-port="2" to-layer="793" to-port="1" />
|
|
<edge from-layer="142" from-port="2" to-layer="258" to-port="1" />
|
|
<edge from-layer="142" from-port="2" to-layer="686" to-port="1" />
|
|
<edge from-layer="142" from-port="2" to-layer="1221" to-port="1" />
|
|
<edge from-layer="142" from-port="2" to-layer="1007" to-port="1" />
|
|
<edge from-layer="143" from-port="2" to-layer="145" to-port="0" />
|
|
<edge from-layer="144" from-port="0" to-layer="145" to-port="1" />
|
|
<edge from-layer="145" from-port="2" to-layer="146" to-port="1" />
|
|
<edge from-layer="146" from-port="2" to-layer="148" to-port="0" />
|
|
<edge from-layer="147" from-port="0" to-layer="148" to-port="1" />
|
|
<edge from-layer="148" from-port="2" to-layer="150" to-port="0" />
|
|
<edge from-layer="149" from-port="0" to-layer="150" to-port="1" />
|
|
<edge from-layer="150" from-port="2" to-layer="152" to-port="0" />
|
|
<edge from-layer="151" from-port="0" to-layer="152" to-port="1" />
|
|
<edge from-layer="152" from-port="2" to-layer="157" to-port="0" />
|
|
<edge from-layer="152" from-port="2" to-layer="190" to-port="1" />
|
|
<edge from-layer="153" from-port="0" to-layer="157" to-port="1" />
|
|
<edge from-layer="154" from-port="0" to-layer="157" to-port="2" />
|
|
<edge from-layer="155" from-port="0" to-layer="157" to-port="3" />
|
|
<edge from-layer="156" from-port="0" to-layer="157" to-port="4" />
|
|
<edge from-layer="157" from-port="5" to-layer="162" to-port="0" />
|
|
<edge from-layer="158" from-port="0" to-layer="159" to-port="0" />
|
|
<edge from-layer="159" from-port="1" to-layer="161" to-port="0" />
|
|
<edge from-layer="160" from-port="0" to-layer="161" to-port="1" />
|
|
<edge from-layer="161" from-port="2" to-layer="162" to-port="1" />
|
|
<edge from-layer="161" from-port="2" to-layer="1236" to-port="1" />
|
|
<edge from-layer="161" from-port="2" to-layer="1343" to-port="1" />
|
|
<edge from-layer="161" from-port="2" to-layer="273" to-port="1" />
|
|
<edge from-layer="161" from-port="2" to-layer="380" to-port="1" />
|
|
<edge from-layer="161" from-port="2" to-layer="487" to-port="1" />
|
|
<edge from-layer="161" from-port="2" to-layer="594" to-port="1" />
|
|
<edge from-layer="161" from-port="2" to-layer="701" to-port="1" />
|
|
<edge from-layer="161" from-port="2" to-layer="808" to-port="1" />
|
|
<edge from-layer="161" from-port="2" to-layer="915" to-port="1" />
|
|
<edge from-layer="161" from-port="2" to-layer="1022" to-port="1" />
|
|
<edge from-layer="161" from-port="2" to-layer="1129" to-port="1" />
|
|
<edge from-layer="162" from-port="2" to-layer="164" to-port="0" />
|
|
<edge from-layer="163" from-port="0" to-layer="164" to-port="1" />
|
|
<edge from-layer="164" from-port="2" to-layer="166" to-port="0" />
|
|
<edge from-layer="164" from-port="2" to-layer="168" to-port="0" />
|
|
<edge from-layer="164" from-port="2" to-layer="171" to-port="0" />
|
|
<edge from-layer="165" from-port="0" to-layer="166" to-port="1" />
|
|
<edge from-layer="166" from-port="2" to-layer="177" to-port="0" />
|
|
<edge from-layer="167" from-port="0" to-layer="168" to-port="1" />
|
|
<edge from-layer="168" from-port="2" to-layer="170" to-port="0" />
|
|
<edge from-layer="169" from-port="0" to-layer="170" to-port="1" />
|
|
<edge from-layer="170" from-port="2" to-layer="171" to-port="1" />
|
|
<edge from-layer="171" from-port="2" to-layer="173" to-port="0" />
|
|
<edge from-layer="172" from-port="0" to-layer="173" to-port="1" />
|
|
<edge from-layer="173" from-port="2" to-layer="174" to-port="0" />
|
|
<edge from-layer="174" from-port="1" to-layer="176" to-port="0" />
|
|
<edge from-layer="175" from-port="0" to-layer="176" to-port="1" />
|
|
<edge from-layer="176" from-port="2" to-layer="177" to-port="1" />
|
|
<edge from-layer="177" from-port="2" to-layer="182" to-port="0" />
|
|
<edge from-layer="178" from-port="0" to-layer="182" to-port="1" />
|
|
<edge from-layer="179" from-port="0" to-layer="182" to-port="2" />
|
|
<edge from-layer="180" from-port="0" to-layer="182" to-port="3" />
|
|
<edge from-layer="181" from-port="0" to-layer="182" to-port="4" />
|
|
<edge from-layer="182" from-port="5" to-layer="187" to-port="0" />
|
|
<edge from-layer="183" from-port="0" to-layer="184" to-port="0" />
|
|
<edge from-layer="184" from-port="1" to-layer="186" to-port="0" />
|
|
<edge from-layer="185" from-port="0" to-layer="186" to-port="1" />
|
|
<edge from-layer="186" from-port="2" to-layer="294" to-port="1" />
|
|
<edge from-layer="186" from-port="2" to-layer="936" to-port="1" />
|
|
<edge from-layer="186" from-port="2" to-layer="1364" to-port="1" />
|
|
<edge from-layer="186" from-port="2" to-layer="1043" to-port="1" />
|
|
<edge from-layer="186" from-port="2" to-layer="187" to-port="1" />
|
|
<edge from-layer="186" from-port="2" to-layer="508" to-port="1" />
|
|
<edge from-layer="186" from-port="2" to-layer="401" to-port="1" />
|
|
<edge from-layer="186" from-port="2" to-layer="1150" to-port="1" />
|
|
<edge from-layer="186" from-port="2" to-layer="1257" to-port="1" />
|
|
<edge from-layer="186" from-port="2" to-layer="829" to-port="1" />
|
|
<edge from-layer="186" from-port="2" to-layer="722" to-port="1" />
|
|
<edge from-layer="186" from-port="2" to-layer="615" to-port="1" />
|
|
<edge from-layer="187" from-port="2" to-layer="189" to-port="0" />
|
|
<edge from-layer="188" from-port="0" to-layer="189" to-port="1" />
|
|
<edge from-layer="189" from-port="2" to-layer="190" to-port="0" />
|
|
<edge from-layer="190" from-port="2" to-layer="192" to-port="0" />
|
|
<edge from-layer="191" from-port="0" to-layer="192" to-port="1" />
|
|
<edge from-layer="192" from-port="2" to-layer="194" to-port="0" />
|
|
<edge from-layer="193" from-port="0" to-layer="194" to-port="1" />
|
|
<edge from-layer="194" from-port="2" to-layer="196" to-port="0" />
|
|
<edge from-layer="195" from-port="0" to-layer="196" to-port="1" />
|
|
<edge from-layer="196" from-port="2" to-layer="201" to-port="0" />
|
|
<edge from-layer="196" from-port="2" to-layer="240" to-port="0" />
|
|
<edge from-layer="196" from-port="2" to-layer="218" to-port="0" />
|
|
<edge from-layer="196" from-port="2" to-layer="261" to-port="0" />
|
|
<edge from-layer="197" from-port="0" to-layer="201" to-port="1" />
|
|
<edge from-layer="198" from-port="0" to-layer="201" to-port="2" />
|
|
<edge from-layer="199" from-port="0" to-layer="201" to-port="3" />
|
|
<edge from-layer="200" from-port="0" to-layer="201" to-port="4" />
|
|
<edge from-layer="201" from-port="5" to-layer="202" to-port="0" />
|
|
<edge from-layer="202" from-port="2" to-layer="204" to-port="0" />
|
|
<edge from-layer="203" from-port="0" to-layer="204" to-port="1" />
|
|
<edge from-layer="204" from-port="2" to-layer="209" to-port="0" />
|
|
<edge from-layer="205" from-port="0" to-layer="209" to-port="1" />
|
|
<edge from-layer="206" from-port="0" to-layer="209" to-port="2" />
|
|
<edge from-layer="207" from-port="0" to-layer="209" to-port="3" />
|
|
<edge from-layer="208" from-port="0" to-layer="209" to-port="4" />
|
|
<edge from-layer="209" from-port="5" to-layer="211" to-port="0" />
|
|
<edge from-layer="210" from-port="0" to-layer="211" to-port="1" />
|
|
<edge from-layer="211" from-port="2" to-layer="213" to-port="0" />
|
|
<edge from-layer="212" from-port="0" to-layer="213" to-port="1" />
|
|
<edge from-layer="213" from-port="2" to-layer="231" to-port="0" />
|
|
<edge from-layer="214" from-port="0" to-layer="218" to-port="1" />
|
|
<edge from-layer="215" from-port="0" to-layer="218" to-port="2" />
|
|
<edge from-layer="216" from-port="0" to-layer="218" to-port="3" />
|
|
<edge from-layer="217" from-port="0" to-layer="218" to-port="4" />
|
|
<edge from-layer="218" from-port="5" to-layer="219" to-port="0" />
|
|
<edge from-layer="219" from-port="2" to-layer="221" to-port="0" />
|
|
<edge from-layer="220" from-port="0" to-layer="221" to-port="1" />
|
|
<edge from-layer="221" from-port="2" to-layer="226" to-port="0" />
|
|
<edge from-layer="222" from-port="0" to-layer="226" to-port="1" />
|
|
<edge from-layer="223" from-port="0" to-layer="226" to-port="2" />
|
|
<edge from-layer="224" from-port="0" to-layer="226" to-port="3" />
|
|
<edge from-layer="225" from-port="0" to-layer="226" to-port="4" />
|
|
<edge from-layer="226" from-port="5" to-layer="228" to-port="0" />
|
|
<edge from-layer="227" from-port="0" to-layer="228" to-port="1" />
|
|
<edge from-layer="228" from-port="2" to-layer="230" to-port="0" />
|
|
<edge from-layer="229" from-port="0" to-layer="230" to-port="1" />
|
|
<edge from-layer="230" from-port="2" to-layer="231" to-port="1" />
|
|
<edge from-layer="231" from-port="2" to-layer="233" to-port="0" />
|
|
<edge from-layer="232" from-port="0" to-layer="233" to-port="1" />
|
|
<edge from-layer="233" from-port="2" to-layer="234" to-port="0" />
|
|
<edge from-layer="234" from-port="2" to-layer="235" to-port="0" />
|
|
<edge from-layer="235" from-port="1" to-layer="248" to-port="0" />
|
|
<edge from-layer="236" from-port="0" to-layer="240" to-port="1" />
|
|
<edge from-layer="237" from-port="0" to-layer="240" to-port="2" />
|
|
<edge from-layer="238" from-port="0" to-layer="240" to-port="3" />
|
|
<edge from-layer="239" from-port="0" to-layer="240" to-port="4" />
|
|
<edge from-layer="240" from-port="5" to-layer="241" to-port="0" />
|
|
<edge from-layer="241" from-port="2" to-layer="243" to-port="0" />
|
|
<edge from-layer="242" from-port="0" to-layer="243" to-port="1" />
|
|
<edge from-layer="243" from-port="2" to-layer="245" to-port="0" />
|
|
<edge from-layer="244" from-port="0" to-layer="245" to-port="1" />
|
|
<edge from-layer="245" from-port="2" to-layer="247" to-port="0" />
|
|
<edge from-layer="246" from-port="0" to-layer="247" to-port="1" />
|
|
<edge from-layer="247" from-port="2" to-layer="248" to-port="1" />
|
|
<edge from-layer="248" from-port="2" to-layer="253" to-port="0" />
|
|
<edge from-layer="249" from-port="0" to-layer="253" to-port="1" />
|
|
<edge from-layer="250" from-port="0" to-layer="253" to-port="2" />
|
|
<edge from-layer="251" from-port="0" to-layer="253" to-port="3" />
|
|
<edge from-layer="252" from-port="0" to-layer="253" to-port="4" />
|
|
<edge from-layer="253" from-port="5" to-layer="255" to-port="0" />
|
|
<edge from-layer="254" from-port="0" to-layer="255" to-port="1" />
|
|
<edge from-layer="255" from-port="2" to-layer="257" to-port="0" />
|
|
<edge from-layer="256" from-port="0" to-layer="257" to-port="1" />
|
|
<edge from-layer="257" from-port="2" to-layer="258" to-port="0" />
|
|
<edge from-layer="258" from-port="2" to-layer="260" to-port="0" />
|
|
<edge from-layer="259" from-port="0" to-layer="260" to-port="1" />
|
|
<edge from-layer="260" from-port="2" to-layer="261" to-port="1" />
|
|
<edge from-layer="261" from-port="2" to-layer="263" to-port="0" />
|
|
<edge from-layer="262" from-port="0" to-layer="263" to-port="1" />
|
|
<edge from-layer="263" from-port="2" to-layer="265" to-port="0" />
|
|
<edge from-layer="264" from-port="0" to-layer="265" to-port="1" />
|
|
<edge from-layer="265" from-port="2" to-layer="267" to-port="0" />
|
|
<edge from-layer="266" from-port="0" to-layer="267" to-port="1" />
|
|
<edge from-layer="267" from-port="2" to-layer="297" to-port="1" />
|
|
<edge from-layer="267" from-port="2" to-layer="272" to-port="0" />
|
|
<edge from-layer="268" from-port="0" to-layer="272" to-port="1" />
|
|
<edge from-layer="269" from-port="0" to-layer="272" to-port="2" />
|
|
<edge from-layer="270" from-port="0" to-layer="272" to-port="3" />
|
|
<edge from-layer="271" from-port="0" to-layer="272" to-port="4" />
|
|
<edge from-layer="272" from-port="5" to-layer="273" to-port="0" />
|
|
<edge from-layer="273" from-port="2" to-layer="275" to-port="0" />
|
|
<edge from-layer="274" from-port="0" to-layer="275" to-port="1" />
|
|
<edge from-layer="275" from-port="2" to-layer="279" to-port="0" />
|
|
<edge from-layer="275" from-port="2" to-layer="277" to-port="0" />
|
|
<edge from-layer="275" from-port="2" to-layer="282" to-port="0" />
|
|
<edge from-layer="276" from-port="0" to-layer="277" to-port="1" />
|
|
<edge from-layer="277" from-port="2" to-layer="288" to-port="0" />
|
|
<edge from-layer="278" from-port="0" to-layer="279" to-port="1" />
|
|
<edge from-layer="279" from-port="2" to-layer="281" to-port="0" />
|
|
<edge from-layer="280" from-port="0" to-layer="281" to-port="1" />
|
|
<edge from-layer="281" from-port="2" to-layer="282" to-port="1" />
|
|
<edge from-layer="282" from-port="2" to-layer="284" to-port="0" />
|
|
<edge from-layer="283" from-port="0" to-layer="284" to-port="1" />
|
|
<edge from-layer="284" from-port="2" to-layer="285" to-port="0" />
|
|
<edge from-layer="285" from-port="1" to-layer="287" to-port="0" />
|
|
<edge from-layer="286" from-port="0" to-layer="287" to-port="1" />
|
|
<edge from-layer="287" from-port="2" to-layer="288" to-port="1" />
|
|
<edge from-layer="288" from-port="2" to-layer="293" to-port="0" />
|
|
<edge from-layer="289" from-port="0" to-layer="293" to-port="1" />
|
|
<edge from-layer="290" from-port="0" to-layer="293" to-port="2" />
|
|
<edge from-layer="291" from-port="0" to-layer="293" to-port="3" />
|
|
<edge from-layer="292" from-port="0" to-layer="293" to-port="4" />
|
|
<edge from-layer="293" from-port="5" to-layer="294" to-port="0" />
|
|
<edge from-layer="294" from-port="2" to-layer="296" to-port="0" />
|
|
<edge from-layer="295" from-port="0" to-layer="296" to-port="1" />
|
|
<edge from-layer="296" from-port="2" to-layer="297" to-port="0" />
|
|
<edge from-layer="297" from-port="2" to-layer="299" to-port="0" />
|
|
<edge from-layer="298" from-port="0" to-layer="299" to-port="1" />
|
|
<edge from-layer="299" from-port="2" to-layer="301" to-port="0" />
|
|
<edge from-layer="300" from-port="0" to-layer="301" to-port="1" />
|
|
<edge from-layer="301" from-port="2" to-layer="303" to-port="0" />
|
|
<edge from-layer="302" from-port="0" to-layer="303" to-port="1" />
|
|
<edge from-layer="303" from-port="2" to-layer="368" to-port="0" />
|
|
<edge from-layer="303" from-port="2" to-layer="325" to-port="0" />
|
|
<edge from-layer="303" from-port="2" to-layer="308" to-port="0" />
|
|
<edge from-layer="303" from-port="2" to-layer="347" to-port="0" />
|
|
<edge from-layer="304" from-port="0" to-layer="308" to-port="1" />
|
|
<edge from-layer="305" from-port="0" to-layer="308" to-port="2" />
|
|
<edge from-layer="306" from-port="0" to-layer="308" to-port="3" />
|
|
<edge from-layer="307" from-port="0" to-layer="308" to-port="4" />
|
|
<edge from-layer="308" from-port="5" to-layer="309" to-port="0" />
|
|
<edge from-layer="309" from-port="2" to-layer="311" to-port="0" />
|
|
<edge from-layer="310" from-port="0" to-layer="311" to-port="1" />
|
|
<edge from-layer="311" from-port="2" to-layer="316" to-port="0" />
|
|
<edge from-layer="312" from-port="0" to-layer="316" to-port="1" />
|
|
<edge from-layer="313" from-port="0" to-layer="316" to-port="2" />
|
|
<edge from-layer="314" from-port="0" to-layer="316" to-port="3" />
|
|
<edge from-layer="315" from-port="0" to-layer="316" to-port="4" />
|
|
<edge from-layer="316" from-port="5" to-layer="318" to-port="0" />
|
|
<edge from-layer="317" from-port="0" to-layer="318" to-port="1" />
|
|
<edge from-layer="318" from-port="2" to-layer="320" to-port="0" />
|
|
<edge from-layer="319" from-port="0" to-layer="320" to-port="1" />
|
|
<edge from-layer="320" from-port="2" to-layer="338" to-port="0" />
|
|
<edge from-layer="321" from-port="0" to-layer="325" to-port="1" />
|
|
<edge from-layer="322" from-port="0" to-layer="325" to-port="2" />
|
|
<edge from-layer="323" from-port="0" to-layer="325" to-port="3" />
|
|
<edge from-layer="324" from-port="0" to-layer="325" to-port="4" />
|
|
<edge from-layer="325" from-port="5" to-layer="326" to-port="0" />
|
|
<edge from-layer="326" from-port="2" to-layer="328" to-port="0" />
|
|
<edge from-layer="327" from-port="0" to-layer="328" to-port="1" />
|
|
<edge from-layer="328" from-port="2" to-layer="333" to-port="0" />
|
|
<edge from-layer="329" from-port="0" to-layer="333" to-port="1" />
|
|
<edge from-layer="330" from-port="0" to-layer="333" to-port="2" />
|
|
<edge from-layer="331" from-port="0" to-layer="333" to-port="3" />
|
|
<edge from-layer="332" from-port="0" to-layer="333" to-port="4" />
|
|
<edge from-layer="333" from-port="5" to-layer="335" to-port="0" />
|
|
<edge from-layer="334" from-port="0" to-layer="335" to-port="1" />
|
|
<edge from-layer="335" from-port="2" to-layer="337" to-port="0" />
|
|
<edge from-layer="336" from-port="0" to-layer="337" to-port="1" />
|
|
<edge from-layer="337" from-port="2" to-layer="338" to-port="1" />
|
|
<edge from-layer="338" from-port="2" to-layer="340" to-port="0" />
|
|
<edge from-layer="339" from-port="0" to-layer="340" to-port="1" />
|
|
<edge from-layer="340" from-port="2" to-layer="341" to-port="0" />
|
|
<edge from-layer="341" from-port="2" to-layer="342" to-port="0" />
|
|
<edge from-layer="342" from-port="1" to-layer="355" to-port="0" />
|
|
<edge from-layer="343" from-port="0" to-layer="347" to-port="1" />
|
|
<edge from-layer="344" from-port="0" to-layer="347" to-port="2" />
|
|
<edge from-layer="345" from-port="0" to-layer="347" to-port="3" />
|
|
<edge from-layer="346" from-port="0" to-layer="347" to-port="4" />
|
|
<edge from-layer="347" from-port="5" to-layer="348" to-port="0" />
|
|
<edge from-layer="348" from-port="2" to-layer="350" to-port="0" />
|
|
<edge from-layer="349" from-port="0" to-layer="350" to-port="1" />
|
|
<edge from-layer="350" from-port="2" to-layer="352" to-port="0" />
|
|
<edge from-layer="351" from-port="0" to-layer="352" to-port="1" />
|
|
<edge from-layer="352" from-port="2" to-layer="354" to-port="0" />
|
|
<edge from-layer="353" from-port="0" to-layer="354" to-port="1" />
|
|
<edge from-layer="354" from-port="2" to-layer="355" to-port="1" />
|
|
<edge from-layer="355" from-port="2" to-layer="360" to-port="0" />
|
|
<edge from-layer="356" from-port="0" to-layer="360" to-port="1" />
|
|
<edge from-layer="357" from-port="0" to-layer="360" to-port="2" />
|
|
<edge from-layer="358" from-port="0" to-layer="360" to-port="3" />
|
|
<edge from-layer="359" from-port="0" to-layer="360" to-port="4" />
|
|
<edge from-layer="360" from-port="5" to-layer="362" to-port="0" />
|
|
<edge from-layer="361" from-port="0" to-layer="362" to-port="1" />
|
|
<edge from-layer="362" from-port="2" to-layer="364" to-port="0" />
|
|
<edge from-layer="363" from-port="0" to-layer="364" to-port="1" />
|
|
<edge from-layer="364" from-port="2" to-layer="365" to-port="0" />
|
|
<edge from-layer="365" from-port="2" to-layer="367" to-port="0" />
|
|
<edge from-layer="366" from-port="0" to-layer="367" to-port="1" />
|
|
<edge from-layer="367" from-port="2" to-layer="368" to-port="1" />
|
|
<edge from-layer="368" from-port="2" to-layer="370" to-port="0" />
|
|
<edge from-layer="369" from-port="0" to-layer="370" to-port="1" />
|
|
<edge from-layer="370" from-port="2" to-layer="372" to-port="0" />
|
|
<edge from-layer="371" from-port="0" to-layer="372" to-port="1" />
|
|
<edge from-layer="372" from-port="2" to-layer="374" to-port="0" />
|
|
<edge from-layer="373" from-port="0" to-layer="374" to-port="1" />
|
|
<edge from-layer="374" from-port="2" to-layer="379" to-port="0" />
|
|
<edge from-layer="374" from-port="2" to-layer="404" to-port="1" />
|
|
<edge from-layer="375" from-port="0" to-layer="379" to-port="1" />
|
|
<edge from-layer="376" from-port="0" to-layer="379" to-port="2" />
|
|
<edge from-layer="377" from-port="0" to-layer="379" to-port="3" />
|
|
<edge from-layer="378" from-port="0" to-layer="379" to-port="4" />
|
|
<edge from-layer="379" from-port="5" to-layer="380" to-port="0" />
|
|
<edge from-layer="380" from-port="2" to-layer="382" to-port="0" />
|
|
<edge from-layer="381" from-port="0" to-layer="382" to-port="1" />
|
|
<edge from-layer="382" from-port="2" to-layer="384" to-port="0" />
|
|
<edge from-layer="382" from-port="2" to-layer="389" to-port="0" />
|
|
<edge from-layer="382" from-port="2" to-layer="386" to-port="0" />
|
|
<edge from-layer="383" from-port="0" to-layer="384" to-port="1" />
|
|
<edge from-layer="384" from-port="2" to-layer="395" to-port="0" />
|
|
<edge from-layer="385" from-port="0" to-layer="386" to-port="1" />
|
|
<edge from-layer="386" from-port="2" to-layer="388" to-port="0" />
|
|
<edge from-layer="387" from-port="0" to-layer="388" to-port="1" />
|
|
<edge from-layer="388" from-port="2" to-layer="389" to-port="1" />
|
|
<edge from-layer="389" from-port="2" to-layer="391" to-port="0" />
|
|
<edge from-layer="390" from-port="0" to-layer="391" to-port="1" />
|
|
<edge from-layer="391" from-port="2" to-layer="392" to-port="0" />
|
|
<edge from-layer="392" from-port="1" to-layer="394" to-port="0" />
|
|
<edge from-layer="393" from-port="0" to-layer="394" to-port="1" />
|
|
<edge from-layer="394" from-port="2" to-layer="395" to-port="1" />
|
|
<edge from-layer="395" from-port="2" to-layer="400" to-port="0" />
|
|
<edge from-layer="396" from-port="0" to-layer="400" to-port="1" />
|
|
<edge from-layer="397" from-port="0" to-layer="400" to-port="2" />
|
|
<edge from-layer="398" from-port="0" to-layer="400" to-port="3" />
|
|
<edge from-layer="399" from-port="0" to-layer="400" to-port="4" />
|
|
<edge from-layer="400" from-port="5" to-layer="401" to-port="0" />
|
|
<edge from-layer="401" from-port="2" to-layer="403" to-port="0" />
|
|
<edge from-layer="402" from-port="0" to-layer="403" to-port="1" />
|
|
<edge from-layer="403" from-port="2" to-layer="404" to-port="0" />
|
|
<edge from-layer="404" from-port="2" to-layer="406" to-port="0" />
|
|
<edge from-layer="405" from-port="0" to-layer="406" to-port="1" />
|
|
<edge from-layer="406" from-port="2" to-layer="408" to-port="0" />
|
|
<edge from-layer="407" from-port="0" to-layer="408" to-port="1" />
|
|
<edge from-layer="408" from-port="2" to-layer="410" to-port="0" />
|
|
<edge from-layer="409" from-port="0" to-layer="410" to-port="1" />
|
|
<edge from-layer="410" from-port="2" to-layer="475" to-port="0" />
|
|
<edge from-layer="410" from-port="2" to-layer="415" to-port="0" />
|
|
<edge from-layer="410" from-port="2" to-layer="432" to-port="0" />
|
|
<edge from-layer="410" from-port="2" to-layer="454" to-port="0" />
|
|
<edge from-layer="411" from-port="0" to-layer="415" to-port="1" />
|
|
<edge from-layer="412" from-port="0" to-layer="415" to-port="2" />
|
|
<edge from-layer="413" from-port="0" to-layer="415" to-port="3" />
|
|
<edge from-layer="414" from-port="0" to-layer="415" to-port="4" />
|
|
<edge from-layer="415" from-port="5" to-layer="416" to-port="0" />
|
|
<edge from-layer="416" from-port="2" to-layer="418" to-port="0" />
|
|
<edge from-layer="417" from-port="0" to-layer="418" to-port="1" />
|
|
<edge from-layer="418" from-port="2" to-layer="423" to-port="0" />
|
|
<edge from-layer="419" from-port="0" to-layer="423" to-port="1" />
|
|
<edge from-layer="420" from-port="0" to-layer="423" to-port="2" />
|
|
<edge from-layer="421" from-port="0" to-layer="423" to-port="3" />
|
|
<edge from-layer="422" from-port="0" to-layer="423" to-port="4" />
|
|
<edge from-layer="423" from-port="5" to-layer="425" to-port="0" />
|
|
<edge from-layer="424" from-port="0" to-layer="425" to-port="1" />
|
|
<edge from-layer="425" from-port="2" to-layer="427" to-port="0" />
|
|
<edge from-layer="426" from-port="0" to-layer="427" to-port="1" />
|
|
<edge from-layer="427" from-port="2" to-layer="445" to-port="0" />
|
|
<edge from-layer="428" from-port="0" to-layer="432" to-port="1" />
|
|
<edge from-layer="429" from-port="0" to-layer="432" to-port="2" />
|
|
<edge from-layer="430" from-port="0" to-layer="432" to-port="3" />
|
|
<edge from-layer="431" from-port="0" to-layer="432" to-port="4" />
|
|
<edge from-layer="432" from-port="5" to-layer="433" to-port="0" />
|
|
<edge from-layer="433" from-port="2" to-layer="435" to-port="0" />
|
|
<edge from-layer="434" from-port="0" to-layer="435" to-port="1" />
|
|
<edge from-layer="435" from-port="2" to-layer="440" to-port="0" />
|
|
<edge from-layer="436" from-port="0" to-layer="440" to-port="1" />
|
|
<edge from-layer="437" from-port="0" to-layer="440" to-port="2" />
|
|
<edge from-layer="438" from-port="0" to-layer="440" to-port="3" />
|
|
<edge from-layer="439" from-port="0" to-layer="440" to-port="4" />
|
|
<edge from-layer="440" from-port="5" to-layer="442" to-port="0" />
|
|
<edge from-layer="441" from-port="0" to-layer="442" to-port="1" />
|
|
<edge from-layer="442" from-port="2" to-layer="444" to-port="0" />
|
|
<edge from-layer="443" from-port="0" to-layer="444" to-port="1" />
|
|
<edge from-layer="444" from-port="2" to-layer="445" to-port="1" />
|
|
<edge from-layer="445" from-port="2" to-layer="447" to-port="0" />
|
|
<edge from-layer="446" from-port="0" to-layer="447" to-port="1" />
|
|
<edge from-layer="447" from-port="2" to-layer="448" to-port="0" />
|
|
<edge from-layer="448" from-port="2" to-layer="449" to-port="0" />
|
|
<edge from-layer="449" from-port="1" to-layer="462" to-port="0" />
|
|
<edge from-layer="450" from-port="0" to-layer="454" to-port="1" />
|
|
<edge from-layer="451" from-port="0" to-layer="454" to-port="2" />
|
|
<edge from-layer="452" from-port="0" to-layer="454" to-port="3" />
|
|
<edge from-layer="453" from-port="0" to-layer="454" to-port="4" />
|
|
<edge from-layer="454" from-port="5" to-layer="455" to-port="0" />
|
|
<edge from-layer="455" from-port="2" to-layer="457" to-port="0" />
|
|
<edge from-layer="456" from-port="0" to-layer="457" to-port="1" />
|
|
<edge from-layer="457" from-port="2" to-layer="459" to-port="0" />
|
|
<edge from-layer="458" from-port="0" to-layer="459" to-port="1" />
|
|
<edge from-layer="459" from-port="2" to-layer="461" to-port="0" />
|
|
<edge from-layer="460" from-port="0" to-layer="461" to-port="1" />
|
|
<edge from-layer="461" from-port="2" to-layer="462" to-port="1" />
|
|
<edge from-layer="462" from-port="2" to-layer="467" to-port="0" />
|
|
<edge from-layer="463" from-port="0" to-layer="467" to-port="1" />
|
|
<edge from-layer="464" from-port="0" to-layer="467" to-port="2" />
|
|
<edge from-layer="465" from-port="0" to-layer="467" to-port="3" />
|
|
<edge from-layer="466" from-port="0" to-layer="467" to-port="4" />
|
|
<edge from-layer="467" from-port="5" to-layer="469" to-port="0" />
|
|
<edge from-layer="468" from-port="0" to-layer="469" to-port="1" />
|
|
<edge from-layer="469" from-port="2" to-layer="471" to-port="0" />
|
|
<edge from-layer="470" from-port="0" to-layer="471" to-port="1" />
|
|
<edge from-layer="471" from-port="2" to-layer="472" to-port="0" />
|
|
<edge from-layer="472" from-port="2" to-layer="474" to-port="0" />
|
|
<edge from-layer="473" from-port="0" to-layer="474" to-port="1" />
|
|
<edge from-layer="474" from-port="2" to-layer="475" to-port="1" />
|
|
<edge from-layer="475" from-port="2" to-layer="477" to-port="0" />
|
|
<edge from-layer="476" from-port="0" to-layer="477" to-port="1" />
|
|
<edge from-layer="477" from-port="2" to-layer="479" to-port="0" />
|
|
<edge from-layer="478" from-port="0" to-layer="479" to-port="1" />
|
|
<edge from-layer="479" from-port="2" to-layer="481" to-port="0" />
|
|
<edge from-layer="480" from-port="0" to-layer="481" to-port="1" />
|
|
<edge from-layer="481" from-port="2" to-layer="486" to-port="0" />
|
|
<edge from-layer="481" from-port="2" to-layer="511" to-port="1" />
|
|
<edge from-layer="482" from-port="0" to-layer="486" to-port="1" />
|
|
<edge from-layer="483" from-port="0" to-layer="486" to-port="2" />
|
|
<edge from-layer="484" from-port="0" to-layer="486" to-port="3" />
|
|
<edge from-layer="485" from-port="0" to-layer="486" to-port="4" />
|
|
<edge from-layer="486" from-port="5" to-layer="487" to-port="0" />
|
|
<edge from-layer="487" from-port="2" to-layer="489" to-port="0" />
|
|
<edge from-layer="488" from-port="0" to-layer="489" to-port="1" />
|
|
<edge from-layer="489" from-port="2" to-layer="491" to-port="0" />
|
|
<edge from-layer="489" from-port="2" to-layer="493" to-port="0" />
|
|
<edge from-layer="489" from-port="2" to-layer="496" to-port="0" />
|
|
<edge from-layer="490" from-port="0" to-layer="491" to-port="1" />
|
|
<edge from-layer="491" from-port="2" to-layer="502" to-port="0" />
|
|
<edge from-layer="492" from-port="0" to-layer="493" to-port="1" />
|
|
<edge from-layer="493" from-port="2" to-layer="495" to-port="0" />
|
|
<edge from-layer="494" from-port="0" to-layer="495" to-port="1" />
|
|
<edge from-layer="495" from-port="2" to-layer="496" to-port="1" />
|
|
<edge from-layer="496" from-port="2" to-layer="498" to-port="0" />
|
|
<edge from-layer="497" from-port="0" to-layer="498" to-port="1" />
|
|
<edge from-layer="498" from-port="2" to-layer="499" to-port="0" />
|
|
<edge from-layer="499" from-port="1" to-layer="501" to-port="0" />
|
|
<edge from-layer="500" from-port="0" to-layer="501" to-port="1" />
|
|
<edge from-layer="501" from-port="2" to-layer="502" to-port="1" />
|
|
<edge from-layer="502" from-port="2" to-layer="507" to-port="0" />
|
|
<edge from-layer="503" from-port="0" to-layer="507" to-port="1" />
|
|
<edge from-layer="504" from-port="0" to-layer="507" to-port="2" />
|
|
<edge from-layer="505" from-port="0" to-layer="507" to-port="3" />
|
|
<edge from-layer="506" from-port="0" to-layer="507" to-port="4" />
|
|
<edge from-layer="507" from-port="5" to-layer="508" to-port="0" />
|
|
<edge from-layer="508" from-port="2" to-layer="510" to-port="0" />
|
|
<edge from-layer="509" from-port="0" to-layer="510" to-port="1" />
|
|
<edge from-layer="510" from-port="2" to-layer="511" to-port="0" />
|
|
<edge from-layer="511" from-port="2" to-layer="513" to-port="0" />
|
|
<edge from-layer="512" from-port="0" to-layer="513" to-port="1" />
|
|
<edge from-layer="513" from-port="2" to-layer="515" to-port="0" />
|
|
<edge from-layer="514" from-port="0" to-layer="515" to-port="1" />
|
|
<edge from-layer="515" from-port="2" to-layer="517" to-port="0" />
|
|
<edge from-layer="516" from-port="0" to-layer="517" to-port="1" />
|
|
<edge from-layer="517" from-port="2" to-layer="539" to-port="0" />
|
|
<edge from-layer="517" from-port="2" to-layer="582" to-port="0" />
|
|
<edge from-layer="517" from-port="2" to-layer="561" to-port="0" />
|
|
<edge from-layer="517" from-port="2" to-layer="522" to-port="0" />
|
|
<edge from-layer="518" from-port="0" to-layer="522" to-port="1" />
|
|
<edge from-layer="519" from-port="0" to-layer="522" to-port="2" />
|
|
<edge from-layer="520" from-port="0" to-layer="522" to-port="3" />
|
|
<edge from-layer="521" from-port="0" to-layer="522" to-port="4" />
|
|
<edge from-layer="522" from-port="5" to-layer="523" to-port="0" />
|
|
<edge from-layer="523" from-port="2" to-layer="525" to-port="0" />
|
|
<edge from-layer="524" from-port="0" to-layer="525" to-port="1" />
|
|
<edge from-layer="525" from-port="2" to-layer="530" to-port="0" />
|
|
<edge from-layer="526" from-port="0" to-layer="530" to-port="1" />
|
|
<edge from-layer="527" from-port="0" to-layer="530" to-port="2" />
|
|
<edge from-layer="528" from-port="0" to-layer="530" to-port="3" />
|
|
<edge from-layer="529" from-port="0" to-layer="530" to-port="4" />
|
|
<edge from-layer="530" from-port="5" to-layer="532" to-port="0" />
|
|
<edge from-layer="531" from-port="0" to-layer="532" to-port="1" />
|
|
<edge from-layer="532" from-port="2" to-layer="534" to-port="0" />
|
|
<edge from-layer="533" from-port="0" to-layer="534" to-port="1" />
|
|
<edge from-layer="534" from-port="2" to-layer="552" to-port="0" />
|
|
<edge from-layer="535" from-port="0" to-layer="539" to-port="1" />
|
|
<edge from-layer="536" from-port="0" to-layer="539" to-port="2" />
|
|
<edge from-layer="537" from-port="0" to-layer="539" to-port="3" />
|
|
<edge from-layer="538" from-port="0" to-layer="539" to-port="4" />
|
|
<edge from-layer="539" from-port="5" to-layer="540" to-port="0" />
|
|
<edge from-layer="540" from-port="2" to-layer="542" to-port="0" />
|
|
<edge from-layer="541" from-port="0" to-layer="542" to-port="1" />
|
|
<edge from-layer="542" from-port="2" to-layer="547" to-port="0" />
|
|
<edge from-layer="543" from-port="0" to-layer="547" to-port="1" />
|
|
<edge from-layer="544" from-port="0" to-layer="547" to-port="2" />
|
|
<edge from-layer="545" from-port="0" to-layer="547" to-port="3" />
|
|
<edge from-layer="546" from-port="0" to-layer="547" to-port="4" />
|
|
<edge from-layer="547" from-port="5" to-layer="549" to-port="0" />
|
|
<edge from-layer="548" from-port="0" to-layer="549" to-port="1" />
|
|
<edge from-layer="549" from-port="2" to-layer="551" to-port="0" />
|
|
<edge from-layer="550" from-port="0" to-layer="551" to-port="1" />
|
|
<edge from-layer="551" from-port="2" to-layer="552" to-port="1" />
|
|
<edge from-layer="552" from-port="2" to-layer="554" to-port="0" />
|
|
<edge from-layer="553" from-port="0" to-layer="554" to-port="1" />
|
|
<edge from-layer="554" from-port="2" to-layer="555" to-port="0" />
|
|
<edge from-layer="555" from-port="2" to-layer="556" to-port="0" />
|
|
<edge from-layer="556" from-port="1" to-layer="569" to-port="0" />
|
|
<edge from-layer="557" from-port="0" to-layer="561" to-port="1" />
|
|
<edge from-layer="558" from-port="0" to-layer="561" to-port="2" />
|
|
<edge from-layer="559" from-port="0" to-layer="561" to-port="3" />
|
|
<edge from-layer="560" from-port="0" to-layer="561" to-port="4" />
|
|
<edge from-layer="561" from-port="5" to-layer="562" to-port="0" />
|
|
<edge from-layer="562" from-port="2" to-layer="564" to-port="0" />
|
|
<edge from-layer="563" from-port="0" to-layer="564" to-port="1" />
|
|
<edge from-layer="564" from-port="2" to-layer="566" to-port="0" />
|
|
<edge from-layer="565" from-port="0" to-layer="566" to-port="1" />
|
|
<edge from-layer="566" from-port="2" to-layer="568" to-port="0" />
|
|
<edge from-layer="567" from-port="0" to-layer="568" to-port="1" />
|
|
<edge from-layer="568" from-port="2" to-layer="569" to-port="1" />
|
|
<edge from-layer="569" from-port="2" to-layer="574" to-port="0" />
|
|
<edge from-layer="570" from-port="0" to-layer="574" to-port="1" />
|
|
<edge from-layer="571" from-port="0" to-layer="574" to-port="2" />
|
|
<edge from-layer="572" from-port="0" to-layer="574" to-port="3" />
|
|
<edge from-layer="573" from-port="0" to-layer="574" to-port="4" />
|
|
<edge from-layer="574" from-port="5" to-layer="576" to-port="0" />
|
|
<edge from-layer="575" from-port="0" to-layer="576" to-port="1" />
|
|
<edge from-layer="576" from-port="2" to-layer="578" to-port="0" />
|
|
<edge from-layer="577" from-port="0" to-layer="578" to-port="1" />
|
|
<edge from-layer="578" from-port="2" to-layer="579" to-port="0" />
|
|
<edge from-layer="579" from-port="2" to-layer="581" to-port="0" />
|
|
<edge from-layer="580" from-port="0" to-layer="581" to-port="1" />
|
|
<edge from-layer="581" from-port="2" to-layer="582" to-port="1" />
|
|
<edge from-layer="582" from-port="2" to-layer="584" to-port="0" />
|
|
<edge from-layer="583" from-port="0" to-layer="584" to-port="1" />
|
|
<edge from-layer="584" from-port="2" to-layer="586" to-port="0" />
|
|
<edge from-layer="585" from-port="0" to-layer="586" to-port="1" />
|
|
<edge from-layer="586" from-port="2" to-layer="588" to-port="0" />
|
|
<edge from-layer="587" from-port="0" to-layer="588" to-port="1" />
|
|
<edge from-layer="588" from-port="2" to-layer="593" to-port="0" />
|
|
<edge from-layer="588" from-port="2" to-layer="618" to-port="1" />
|
|
<edge from-layer="589" from-port="0" to-layer="593" to-port="1" />
|
|
<edge from-layer="590" from-port="0" to-layer="593" to-port="2" />
|
|
<edge from-layer="591" from-port="0" to-layer="593" to-port="3" />
|
|
<edge from-layer="592" from-port="0" to-layer="593" to-port="4" />
|
|
<edge from-layer="593" from-port="5" to-layer="594" to-port="0" />
|
|
<edge from-layer="594" from-port="2" to-layer="596" to-port="0" />
|
|
<edge from-layer="595" from-port="0" to-layer="596" to-port="1" />
|
|
<edge from-layer="596" from-port="2" to-layer="598" to-port="0" />
|
|
<edge from-layer="596" from-port="2" to-layer="600" to-port="0" />
|
|
<edge from-layer="596" from-port="2" to-layer="603" to-port="0" />
|
|
<edge from-layer="597" from-port="0" to-layer="598" to-port="1" />
|
|
<edge from-layer="598" from-port="2" to-layer="609" to-port="0" />
|
|
<edge from-layer="599" from-port="0" to-layer="600" to-port="1" />
|
|
<edge from-layer="600" from-port="2" to-layer="602" to-port="0" />
|
|
<edge from-layer="601" from-port="0" to-layer="602" to-port="1" />
|
|
<edge from-layer="602" from-port="2" to-layer="603" to-port="1" />
|
|
<edge from-layer="603" from-port="2" to-layer="605" to-port="0" />
|
|
<edge from-layer="604" from-port="0" to-layer="605" to-port="1" />
|
|
<edge from-layer="605" from-port="2" to-layer="606" to-port="0" />
|
|
<edge from-layer="606" from-port="1" to-layer="608" to-port="0" />
|
|
<edge from-layer="607" from-port="0" to-layer="608" to-port="1" />
|
|
<edge from-layer="608" from-port="2" to-layer="609" to-port="1" />
|
|
<edge from-layer="609" from-port="2" to-layer="614" to-port="0" />
|
|
<edge from-layer="610" from-port="0" to-layer="614" to-port="1" />
|
|
<edge from-layer="611" from-port="0" to-layer="614" to-port="2" />
|
|
<edge from-layer="612" from-port="0" to-layer="614" to-port="3" />
|
|
<edge from-layer="613" from-port="0" to-layer="614" to-port="4" />
|
|
<edge from-layer="614" from-port="5" to-layer="615" to-port="0" />
|
|
<edge from-layer="615" from-port="2" to-layer="617" to-port="0" />
|
|
<edge from-layer="616" from-port="0" to-layer="617" to-port="1" />
|
|
<edge from-layer="617" from-port="2" to-layer="618" to-port="0" />
|
|
<edge from-layer="618" from-port="2" to-layer="620" to-port="0" />
|
|
<edge from-layer="619" from-port="0" to-layer="620" to-port="1" />
|
|
<edge from-layer="620" from-port="2" to-layer="622" to-port="0" />
|
|
<edge from-layer="621" from-port="0" to-layer="622" to-port="1" />
|
|
<edge from-layer="622" from-port="2" to-layer="624" to-port="0" />
|
|
<edge from-layer="623" from-port="0" to-layer="624" to-port="1" />
|
|
<edge from-layer="624" from-port="2" to-layer="629" to-port="0" />
|
|
<edge from-layer="624" from-port="2" to-layer="689" to-port="0" />
|
|
<edge from-layer="624" from-port="2" to-layer="646" to-port="0" />
|
|
<edge from-layer="624" from-port="2" to-layer="668" to-port="0" />
|
|
<edge from-layer="625" from-port="0" to-layer="629" to-port="1" />
|
|
<edge from-layer="626" from-port="0" to-layer="629" to-port="2" />
|
|
<edge from-layer="627" from-port="0" to-layer="629" to-port="3" />
|
|
<edge from-layer="628" from-port="0" to-layer="629" to-port="4" />
|
|
<edge from-layer="629" from-port="5" to-layer="630" to-port="0" />
|
|
<edge from-layer="630" from-port="2" to-layer="632" to-port="0" />
|
|
<edge from-layer="631" from-port="0" to-layer="632" to-port="1" />
|
|
<edge from-layer="632" from-port="2" to-layer="637" to-port="0" />
|
|
<edge from-layer="633" from-port="0" to-layer="637" to-port="1" />
|
|
<edge from-layer="634" from-port="0" to-layer="637" to-port="2" />
|
|
<edge from-layer="635" from-port="0" to-layer="637" to-port="3" />
|
|
<edge from-layer="636" from-port="0" to-layer="637" to-port="4" />
|
|
<edge from-layer="637" from-port="5" to-layer="639" to-port="0" />
|
|
<edge from-layer="638" from-port="0" to-layer="639" to-port="1" />
|
|
<edge from-layer="639" from-port="2" to-layer="641" to-port="0" />
|
|
<edge from-layer="640" from-port="0" to-layer="641" to-port="1" />
|
|
<edge from-layer="641" from-port="2" to-layer="659" to-port="0" />
|
|
<edge from-layer="642" from-port="0" to-layer="646" to-port="1" />
|
|
<edge from-layer="643" from-port="0" to-layer="646" to-port="2" />
|
|
<edge from-layer="644" from-port="0" to-layer="646" to-port="3" />
|
|
<edge from-layer="645" from-port="0" to-layer="646" to-port="4" />
|
|
<edge from-layer="646" from-port="5" to-layer="647" to-port="0" />
|
|
<edge from-layer="647" from-port="2" to-layer="649" to-port="0" />
|
|
<edge from-layer="648" from-port="0" to-layer="649" to-port="1" />
|
|
<edge from-layer="649" from-port="2" to-layer="654" to-port="0" />
|
|
<edge from-layer="650" from-port="0" to-layer="654" to-port="1" />
|
|
<edge from-layer="651" from-port="0" to-layer="654" to-port="2" />
|
|
<edge from-layer="652" from-port="0" to-layer="654" to-port="3" />
|
|
<edge from-layer="653" from-port="0" to-layer="654" to-port="4" />
|
|
<edge from-layer="654" from-port="5" to-layer="656" to-port="0" />
|
|
<edge from-layer="655" from-port="0" to-layer="656" to-port="1" />
|
|
<edge from-layer="656" from-port="2" to-layer="658" to-port="0" />
|
|
<edge from-layer="657" from-port="0" to-layer="658" to-port="1" />
|
|
<edge from-layer="658" from-port="2" to-layer="659" to-port="1" />
|
|
<edge from-layer="659" from-port="2" to-layer="661" to-port="0" />
|
|
<edge from-layer="660" from-port="0" to-layer="661" to-port="1" />
|
|
<edge from-layer="661" from-port="2" to-layer="662" to-port="0" />
|
|
<edge from-layer="662" from-port="2" to-layer="663" to-port="0" />
|
|
<edge from-layer="663" from-port="1" to-layer="676" to-port="0" />
|
|
<edge from-layer="664" from-port="0" to-layer="668" to-port="1" />
|
|
<edge from-layer="665" from-port="0" to-layer="668" to-port="2" />
|
|
<edge from-layer="666" from-port="0" to-layer="668" to-port="3" />
|
|
<edge from-layer="667" from-port="0" to-layer="668" to-port="4" />
|
|
<edge from-layer="668" from-port="5" to-layer="669" to-port="0" />
|
|
<edge from-layer="669" from-port="2" to-layer="671" to-port="0" />
|
|
<edge from-layer="670" from-port="0" to-layer="671" to-port="1" />
|
|
<edge from-layer="671" from-port="2" to-layer="673" to-port="0" />
|
|
<edge from-layer="672" from-port="0" to-layer="673" to-port="1" />
|
|
<edge from-layer="673" from-port="2" to-layer="675" to-port="0" />
|
|
<edge from-layer="674" from-port="0" to-layer="675" to-port="1" />
|
|
<edge from-layer="675" from-port="2" to-layer="676" to-port="1" />
|
|
<edge from-layer="676" from-port="2" to-layer="681" to-port="0" />
|
|
<edge from-layer="677" from-port="0" to-layer="681" to-port="1" />
|
|
<edge from-layer="678" from-port="0" to-layer="681" to-port="2" />
|
|
<edge from-layer="679" from-port="0" to-layer="681" to-port="3" />
|
|
<edge from-layer="680" from-port="0" to-layer="681" to-port="4" />
|
|
<edge from-layer="681" from-port="5" to-layer="683" to-port="0" />
|
|
<edge from-layer="682" from-port="0" to-layer="683" to-port="1" />
|
|
<edge from-layer="683" from-port="2" to-layer="685" to-port="0" />
|
|
<edge from-layer="684" from-port="0" to-layer="685" to-port="1" />
|
|
<edge from-layer="685" from-port="2" to-layer="686" to-port="0" />
|
|
<edge from-layer="686" from-port="2" to-layer="688" to-port="0" />
|
|
<edge from-layer="687" from-port="0" to-layer="688" to-port="1" />
|
|
<edge from-layer="688" from-port="2" to-layer="689" to-port="1" />
|
|
<edge from-layer="689" from-port="2" to-layer="691" to-port="0" />
|
|
<edge from-layer="690" from-port="0" to-layer="691" to-port="1" />
|
|
<edge from-layer="691" from-port="2" to-layer="693" to-port="0" />
|
|
<edge from-layer="692" from-port="0" to-layer="693" to-port="1" />
|
|
<edge from-layer="693" from-port="2" to-layer="695" to-port="0" />
|
|
<edge from-layer="694" from-port="0" to-layer="695" to-port="1" />
|
|
<edge from-layer="695" from-port="2" to-layer="700" to-port="0" />
|
|
<edge from-layer="695" from-port="2" to-layer="725" to-port="1" />
|
|
<edge from-layer="696" from-port="0" to-layer="700" to-port="1" />
|
|
<edge from-layer="697" from-port="0" to-layer="700" to-port="2" />
|
|
<edge from-layer="698" from-port="0" to-layer="700" to-port="3" />
|
|
<edge from-layer="699" from-port="0" to-layer="700" to-port="4" />
|
|
<edge from-layer="700" from-port="5" to-layer="701" to-port="0" />
|
|
<edge from-layer="701" from-port="2" to-layer="703" to-port="0" />
|
|
<edge from-layer="702" from-port="0" to-layer="703" to-port="1" />
|
|
<edge from-layer="703" from-port="2" to-layer="705" to-port="0" />
|
|
<edge from-layer="703" from-port="2" to-layer="707" to-port="0" />
|
|
<edge from-layer="703" from-port="2" to-layer="710" to-port="0" />
|
|
<edge from-layer="704" from-port="0" to-layer="705" to-port="1" />
|
|
<edge from-layer="705" from-port="2" to-layer="716" to-port="0" />
|
|
<edge from-layer="706" from-port="0" to-layer="707" to-port="1" />
|
|
<edge from-layer="707" from-port="2" to-layer="709" to-port="0" />
|
|
<edge from-layer="708" from-port="0" to-layer="709" to-port="1" />
|
|
<edge from-layer="709" from-port="2" to-layer="710" to-port="1" />
|
|
<edge from-layer="710" from-port="2" to-layer="712" to-port="0" />
|
|
<edge from-layer="711" from-port="0" to-layer="712" to-port="1" />
|
|
<edge from-layer="712" from-port="2" to-layer="713" to-port="0" />
|
|
<edge from-layer="713" from-port="1" to-layer="715" to-port="0" />
|
|
<edge from-layer="714" from-port="0" to-layer="715" to-port="1" />
|
|
<edge from-layer="715" from-port="2" to-layer="716" to-port="1" />
|
|
<edge from-layer="716" from-port="2" to-layer="721" to-port="0" />
|
|
<edge from-layer="717" from-port="0" to-layer="721" to-port="1" />
|
|
<edge from-layer="718" from-port="0" to-layer="721" to-port="2" />
|
|
<edge from-layer="719" from-port="0" to-layer="721" to-port="3" />
|
|
<edge from-layer="720" from-port="0" to-layer="721" to-port="4" />
|
|
<edge from-layer="721" from-port="5" to-layer="722" to-port="0" />
|
|
<edge from-layer="722" from-port="2" to-layer="724" to-port="0" />
|
|
<edge from-layer="723" from-port="0" to-layer="724" to-port="1" />
|
|
<edge from-layer="724" from-port="2" to-layer="725" to-port="0" />
|
|
<edge from-layer="725" from-port="2" to-layer="727" to-port="0" />
|
|
<edge from-layer="726" from-port="0" to-layer="727" to-port="1" />
|
|
<edge from-layer="727" from-port="2" to-layer="729" to-port="0" />
|
|
<edge from-layer="728" from-port="0" to-layer="729" to-port="1" />
|
|
<edge from-layer="729" from-port="2" to-layer="731" to-port="0" />
|
|
<edge from-layer="730" from-port="0" to-layer="731" to-port="1" />
|
|
<edge from-layer="731" from-port="2" to-layer="796" to-port="0" />
|
|
<edge from-layer="731" from-port="2" to-layer="753" to-port="0" />
|
|
<edge from-layer="731" from-port="2" to-layer="736" to-port="0" />
|
|
<edge from-layer="731" from-port="2" to-layer="775" to-port="0" />
|
|
<edge from-layer="732" from-port="0" to-layer="736" to-port="1" />
|
|
<edge from-layer="733" from-port="0" to-layer="736" to-port="2" />
|
|
<edge from-layer="734" from-port="0" to-layer="736" to-port="3" />
|
|
<edge from-layer="735" from-port="0" to-layer="736" to-port="4" />
|
|
<edge from-layer="736" from-port="5" to-layer="737" to-port="0" />
|
|
<edge from-layer="737" from-port="2" to-layer="739" to-port="0" />
|
|
<edge from-layer="738" from-port="0" to-layer="739" to-port="1" />
|
|
<edge from-layer="739" from-port="2" to-layer="744" to-port="0" />
|
|
<edge from-layer="740" from-port="0" to-layer="744" to-port="1" />
|
|
<edge from-layer="741" from-port="0" to-layer="744" to-port="2" />
|
|
<edge from-layer="742" from-port="0" to-layer="744" to-port="3" />
|
|
<edge from-layer="743" from-port="0" to-layer="744" to-port="4" />
|
|
<edge from-layer="744" from-port="5" to-layer="746" to-port="0" />
|
|
<edge from-layer="745" from-port="0" to-layer="746" to-port="1" />
|
|
<edge from-layer="746" from-port="2" to-layer="748" to-port="0" />
|
|
<edge from-layer="747" from-port="0" to-layer="748" to-port="1" />
|
|
<edge from-layer="748" from-port="2" to-layer="766" to-port="0" />
|
|
<edge from-layer="749" from-port="0" to-layer="753" to-port="1" />
|
|
<edge from-layer="750" from-port="0" to-layer="753" to-port="2" />
|
|
<edge from-layer="751" from-port="0" to-layer="753" to-port="3" />
|
|
<edge from-layer="752" from-port="0" to-layer="753" to-port="4" />
|
|
<edge from-layer="753" from-port="5" to-layer="754" to-port="0" />
|
|
<edge from-layer="754" from-port="2" to-layer="756" to-port="0" />
|
|
<edge from-layer="755" from-port="0" to-layer="756" to-port="1" />
|
|
<edge from-layer="756" from-port="2" to-layer="761" to-port="0" />
|
|
<edge from-layer="757" from-port="0" to-layer="761" to-port="1" />
|
|
<edge from-layer="758" from-port="0" to-layer="761" to-port="2" />
|
|
<edge from-layer="759" from-port="0" to-layer="761" to-port="3" />
|
|
<edge from-layer="760" from-port="0" to-layer="761" to-port="4" />
|
|
<edge from-layer="761" from-port="5" to-layer="763" to-port="0" />
|
|
<edge from-layer="762" from-port="0" to-layer="763" to-port="1" />
|
|
<edge from-layer="763" from-port="2" to-layer="765" to-port="0" />
|
|
<edge from-layer="764" from-port="0" to-layer="765" to-port="1" />
|
|
<edge from-layer="765" from-port="2" to-layer="766" to-port="1" />
|
|
<edge from-layer="766" from-port="2" to-layer="768" to-port="0" />
|
|
<edge from-layer="767" from-port="0" to-layer="768" to-port="1" />
|
|
<edge from-layer="768" from-port="2" to-layer="769" to-port="0" />
|
|
<edge from-layer="769" from-port="2" to-layer="770" to-port="0" />
|
|
<edge from-layer="770" from-port="1" to-layer="783" to-port="0" />
|
|
<edge from-layer="771" from-port="0" to-layer="775" to-port="1" />
|
|
<edge from-layer="772" from-port="0" to-layer="775" to-port="2" />
|
|
<edge from-layer="773" from-port="0" to-layer="775" to-port="3" />
|
|
<edge from-layer="774" from-port="0" to-layer="775" to-port="4" />
|
|
<edge from-layer="775" from-port="5" to-layer="776" to-port="0" />
|
|
<edge from-layer="776" from-port="2" to-layer="778" to-port="0" />
|
|
<edge from-layer="777" from-port="0" to-layer="778" to-port="1" />
|
|
<edge from-layer="778" from-port="2" to-layer="780" to-port="0" />
|
|
<edge from-layer="779" from-port="0" to-layer="780" to-port="1" />
|
|
<edge from-layer="780" from-port="2" to-layer="782" to-port="0" />
|
|
<edge from-layer="781" from-port="0" to-layer="782" to-port="1" />
|
|
<edge from-layer="782" from-port="2" to-layer="783" to-port="1" />
|
|
<edge from-layer="783" from-port="2" to-layer="788" to-port="0" />
|
|
<edge from-layer="784" from-port="0" to-layer="788" to-port="1" />
|
|
<edge from-layer="785" from-port="0" to-layer="788" to-port="2" />
|
|
<edge from-layer="786" from-port="0" to-layer="788" to-port="3" />
|
|
<edge from-layer="787" from-port="0" to-layer="788" to-port="4" />
|
|
<edge from-layer="788" from-port="5" to-layer="790" to-port="0" />
|
|
<edge from-layer="789" from-port="0" to-layer="790" to-port="1" />
|
|
<edge from-layer="790" from-port="2" to-layer="792" to-port="0" />
|
|
<edge from-layer="791" from-port="0" to-layer="792" to-port="1" />
|
|
<edge from-layer="792" from-port="2" to-layer="793" to-port="0" />
|
|
<edge from-layer="793" from-port="2" to-layer="795" to-port="0" />
|
|
<edge from-layer="794" from-port="0" to-layer="795" to-port="1" />
|
|
<edge from-layer="795" from-port="2" to-layer="796" to-port="1" />
|
|
<edge from-layer="796" from-port="2" to-layer="798" to-port="0" />
|
|
<edge from-layer="797" from-port="0" to-layer="798" to-port="1" />
|
|
<edge from-layer="798" from-port="2" to-layer="800" to-port="0" />
|
|
<edge from-layer="799" from-port="0" to-layer="800" to-port="1" />
|
|
<edge from-layer="800" from-port="2" to-layer="802" to-port="0" />
|
|
<edge from-layer="801" from-port="0" to-layer="802" to-port="1" />
|
|
<edge from-layer="802" from-port="2" to-layer="807" to-port="0" />
|
|
<edge from-layer="802" from-port="2" to-layer="832" to-port="1" />
|
|
<edge from-layer="803" from-port="0" to-layer="807" to-port="1" />
|
|
<edge from-layer="804" from-port="0" to-layer="807" to-port="2" />
|
|
<edge from-layer="805" from-port="0" to-layer="807" to-port="3" />
|
|
<edge from-layer="806" from-port="0" to-layer="807" to-port="4" />
|
|
<edge from-layer="807" from-port="5" to-layer="808" to-port="0" />
|
|
<edge from-layer="808" from-port="2" to-layer="810" to-port="0" />
|
|
<edge from-layer="809" from-port="0" to-layer="810" to-port="1" />
|
|
<edge from-layer="810" from-port="2" to-layer="812" to-port="0" />
|
|
<edge from-layer="810" from-port="2" to-layer="814" to-port="0" />
|
|
<edge from-layer="810" from-port="2" to-layer="817" to-port="0" />
|
|
<edge from-layer="811" from-port="0" to-layer="812" to-port="1" />
|
|
<edge from-layer="812" from-port="2" to-layer="823" to-port="0" />
|
|
<edge from-layer="813" from-port="0" to-layer="814" to-port="1" />
|
|
<edge from-layer="814" from-port="2" to-layer="816" to-port="0" />
|
|
<edge from-layer="815" from-port="0" to-layer="816" to-port="1" />
|
|
<edge from-layer="816" from-port="2" to-layer="817" to-port="1" />
|
|
<edge from-layer="817" from-port="2" to-layer="819" to-port="0" />
|
|
<edge from-layer="818" from-port="0" to-layer="819" to-port="1" />
|
|
<edge from-layer="819" from-port="2" to-layer="820" to-port="0" />
|
|
<edge from-layer="820" from-port="1" to-layer="822" to-port="0" />
|
|
<edge from-layer="821" from-port="0" to-layer="822" to-port="1" />
|
|
<edge from-layer="822" from-port="2" to-layer="823" to-port="1" />
|
|
<edge from-layer="823" from-port="2" to-layer="828" to-port="0" />
|
|
<edge from-layer="824" from-port="0" to-layer="828" to-port="1" />
|
|
<edge from-layer="825" from-port="0" to-layer="828" to-port="2" />
|
|
<edge from-layer="826" from-port="0" to-layer="828" to-port="3" />
|
|
<edge from-layer="827" from-port="0" to-layer="828" to-port="4" />
|
|
<edge from-layer="828" from-port="5" to-layer="829" to-port="0" />
|
|
<edge from-layer="829" from-port="2" to-layer="831" to-port="0" />
|
|
<edge from-layer="830" from-port="0" to-layer="831" to-port="1" />
|
|
<edge from-layer="831" from-port="2" to-layer="832" to-port="0" />
|
|
<edge from-layer="832" from-port="2" to-layer="834" to-port="0" />
|
|
<edge from-layer="833" from-port="0" to-layer="834" to-port="1" />
|
|
<edge from-layer="834" from-port="2" to-layer="836" to-port="0" />
|
|
<edge from-layer="835" from-port="0" to-layer="836" to-port="1" />
|
|
<edge from-layer="836" from-port="2" to-layer="838" to-port="0" />
|
|
<edge from-layer="837" from-port="0" to-layer="838" to-port="1" />
|
|
<edge from-layer="838" from-port="2" to-layer="882" to-port="0" />
|
|
<edge from-layer="838" from-port="2" to-layer="843" to-port="0" />
|
|
<edge from-layer="838" from-port="2" to-layer="903" to-port="0" />
|
|
<edge from-layer="838" from-port="2" to-layer="860" to-port="0" />
|
|
<edge from-layer="839" from-port="0" to-layer="843" to-port="1" />
|
|
<edge from-layer="840" from-port="0" to-layer="843" to-port="2" />
|
|
<edge from-layer="841" from-port="0" to-layer="843" to-port="3" />
|
|
<edge from-layer="842" from-port="0" to-layer="843" to-port="4" />
|
|
<edge from-layer="843" from-port="5" to-layer="844" to-port="0" />
|
|
<edge from-layer="844" from-port="2" to-layer="846" to-port="0" />
|
|
<edge from-layer="845" from-port="0" to-layer="846" to-port="1" />
|
|
<edge from-layer="846" from-port="2" to-layer="851" to-port="0" />
|
|
<edge from-layer="847" from-port="0" to-layer="851" to-port="1" />
|
|
<edge from-layer="848" from-port="0" to-layer="851" to-port="2" />
|
|
<edge from-layer="849" from-port="0" to-layer="851" to-port="3" />
|
|
<edge from-layer="850" from-port="0" to-layer="851" to-port="4" />
|
|
<edge from-layer="851" from-port="5" to-layer="853" to-port="0" />
|
|
<edge from-layer="852" from-port="0" to-layer="853" to-port="1" />
|
|
<edge from-layer="853" from-port="2" to-layer="855" to-port="0" />
|
|
<edge from-layer="854" from-port="0" to-layer="855" to-port="1" />
|
|
<edge from-layer="855" from-port="2" to-layer="873" to-port="0" />
|
|
<edge from-layer="856" from-port="0" to-layer="860" to-port="1" />
|
|
<edge from-layer="857" from-port="0" to-layer="860" to-port="2" />
|
|
<edge from-layer="858" from-port="0" to-layer="860" to-port="3" />
|
|
<edge from-layer="859" from-port="0" to-layer="860" to-port="4" />
|
|
<edge from-layer="860" from-port="5" to-layer="861" to-port="0" />
|
|
<edge from-layer="861" from-port="2" to-layer="863" to-port="0" />
|
|
<edge from-layer="862" from-port="0" to-layer="863" to-port="1" />
|
|
<edge from-layer="863" from-port="2" to-layer="868" to-port="0" />
|
|
<edge from-layer="864" from-port="0" to-layer="868" to-port="1" />
|
|
<edge from-layer="865" from-port="0" to-layer="868" to-port="2" />
|
|
<edge from-layer="866" from-port="0" to-layer="868" to-port="3" />
|
|
<edge from-layer="867" from-port="0" to-layer="868" to-port="4" />
|
|
<edge from-layer="868" from-port="5" to-layer="870" to-port="0" />
|
|
<edge from-layer="869" from-port="0" to-layer="870" to-port="1" />
|
|
<edge from-layer="870" from-port="2" to-layer="872" to-port="0" />
|
|
<edge from-layer="871" from-port="0" to-layer="872" to-port="1" />
|
|
<edge from-layer="872" from-port="2" to-layer="873" to-port="1" />
|
|
<edge from-layer="873" from-port="2" to-layer="875" to-port="0" />
|
|
<edge from-layer="874" from-port="0" to-layer="875" to-port="1" />
|
|
<edge from-layer="875" from-port="2" to-layer="876" to-port="0" />
|
|
<edge from-layer="876" from-port="2" to-layer="877" to-port="0" />
|
|
<edge from-layer="877" from-port="1" to-layer="890" to-port="0" />
|
|
<edge from-layer="878" from-port="0" to-layer="882" to-port="1" />
|
|
<edge from-layer="879" from-port="0" to-layer="882" to-port="2" />
|
|
<edge from-layer="880" from-port="0" to-layer="882" to-port="3" />
|
|
<edge from-layer="881" from-port="0" to-layer="882" to-port="4" />
|
|
<edge from-layer="882" from-port="5" to-layer="883" to-port="0" />
|
|
<edge from-layer="883" from-port="2" to-layer="885" to-port="0" />
|
|
<edge from-layer="884" from-port="0" to-layer="885" to-port="1" />
|
|
<edge from-layer="885" from-port="2" to-layer="887" to-port="0" />
|
|
<edge from-layer="886" from-port="0" to-layer="887" to-port="1" />
|
|
<edge from-layer="887" from-port="2" to-layer="889" to-port="0" />
|
|
<edge from-layer="888" from-port="0" to-layer="889" to-port="1" />
|
|
<edge from-layer="889" from-port="2" to-layer="890" to-port="1" />
|
|
<edge from-layer="890" from-port="2" to-layer="895" to-port="0" />
|
|
<edge from-layer="891" from-port="0" to-layer="895" to-port="1" />
|
|
<edge from-layer="892" from-port="0" to-layer="895" to-port="2" />
|
|
<edge from-layer="893" from-port="0" to-layer="895" to-port="3" />
|
|
<edge from-layer="894" from-port="0" to-layer="895" to-port="4" />
|
|
<edge from-layer="895" from-port="5" to-layer="897" to-port="0" />
|
|
<edge from-layer="896" from-port="0" to-layer="897" to-port="1" />
|
|
<edge from-layer="897" from-port="2" to-layer="899" to-port="0" />
|
|
<edge from-layer="898" from-port="0" to-layer="899" to-port="1" />
|
|
<edge from-layer="899" from-port="2" to-layer="900" to-port="0" />
|
|
<edge from-layer="900" from-port="2" to-layer="902" to-port="0" />
|
|
<edge from-layer="901" from-port="0" to-layer="902" to-port="1" />
|
|
<edge from-layer="902" from-port="2" to-layer="903" to-port="1" />
|
|
<edge from-layer="903" from-port="2" to-layer="905" to-port="0" />
|
|
<edge from-layer="904" from-port="0" to-layer="905" to-port="1" />
|
|
<edge from-layer="905" from-port="2" to-layer="907" to-port="0" />
|
|
<edge from-layer="906" from-port="0" to-layer="907" to-port="1" />
|
|
<edge from-layer="907" from-port="2" to-layer="909" to-port="0" />
|
|
<edge from-layer="908" from-port="0" to-layer="909" to-port="1" />
|
|
<edge from-layer="909" from-port="2" to-layer="914" to-port="0" />
|
|
<edge from-layer="909" from-port="2" to-layer="939" to-port="1" />
|
|
<edge from-layer="910" from-port="0" to-layer="914" to-port="1" />
|
|
<edge from-layer="911" from-port="0" to-layer="914" to-port="2" />
|
|
<edge from-layer="912" from-port="0" to-layer="914" to-port="3" />
|
|
<edge from-layer="913" from-port="0" to-layer="914" to-port="4" />
|
|
<edge from-layer="914" from-port="5" to-layer="915" to-port="0" />
|
|
<edge from-layer="915" from-port="2" to-layer="917" to-port="0" />
|
|
<edge from-layer="916" from-port="0" to-layer="917" to-port="1" />
|
|
<edge from-layer="917" from-port="2" to-layer="924" to-port="0" />
|
|
<edge from-layer="917" from-port="2" to-layer="921" to-port="0" />
|
|
<edge from-layer="917" from-port="2" to-layer="919" to-port="0" />
|
|
<edge from-layer="918" from-port="0" to-layer="919" to-port="1" />
|
|
<edge from-layer="919" from-port="2" to-layer="930" to-port="0" />
|
|
<edge from-layer="920" from-port="0" to-layer="921" to-port="1" />
|
|
<edge from-layer="921" from-port="2" to-layer="923" to-port="0" />
|
|
<edge from-layer="922" from-port="0" to-layer="923" to-port="1" />
|
|
<edge from-layer="923" from-port="2" to-layer="924" to-port="1" />
|
|
<edge from-layer="924" from-port="2" to-layer="926" to-port="0" />
|
|
<edge from-layer="925" from-port="0" to-layer="926" to-port="1" />
|
|
<edge from-layer="926" from-port="2" to-layer="927" to-port="0" />
|
|
<edge from-layer="927" from-port="1" to-layer="929" to-port="0" />
|
|
<edge from-layer="928" from-port="0" to-layer="929" to-port="1" />
|
|
<edge from-layer="929" from-port="2" to-layer="930" to-port="1" />
|
|
<edge from-layer="930" from-port="2" to-layer="935" to-port="0" />
|
|
<edge from-layer="931" from-port="0" to-layer="935" to-port="1" />
|
|
<edge from-layer="932" from-port="0" to-layer="935" to-port="2" />
|
|
<edge from-layer="933" from-port="0" to-layer="935" to-port="3" />
|
|
<edge from-layer="934" from-port="0" to-layer="935" to-port="4" />
|
|
<edge from-layer="935" from-port="5" to-layer="936" to-port="0" />
|
|
<edge from-layer="936" from-port="2" to-layer="938" to-port="0" />
|
|
<edge from-layer="937" from-port="0" to-layer="938" to-port="1" />
|
|
<edge from-layer="938" from-port="2" to-layer="939" to-port="0" />
|
|
<edge from-layer="939" from-port="2" to-layer="941" to-port="0" />
|
|
<edge from-layer="940" from-port="0" to-layer="941" to-port="1" />
|
|
<edge from-layer="941" from-port="2" to-layer="943" to-port="0" />
|
|
<edge from-layer="942" from-port="0" to-layer="943" to-port="1" />
|
|
<edge from-layer="943" from-port="2" to-layer="945" to-port="0" />
|
|
<edge from-layer="944" from-port="0" to-layer="945" to-port="1" />
|
|
<edge from-layer="945" from-port="2" to-layer="989" to-port="0" />
|
|
<edge from-layer="945" from-port="2" to-layer="1010" to-port="0" />
|
|
<edge from-layer="945" from-port="2" to-layer="967" to-port="0" />
|
|
<edge from-layer="945" from-port="2" to-layer="950" to-port="0" />
|
|
<edge from-layer="946" from-port="0" to-layer="950" to-port="1" />
|
|
<edge from-layer="947" from-port="0" to-layer="950" to-port="2" />
|
|
<edge from-layer="948" from-port="0" to-layer="950" to-port="3" />
|
|
<edge from-layer="949" from-port="0" to-layer="950" to-port="4" />
|
|
<edge from-layer="950" from-port="5" to-layer="951" to-port="0" />
|
|
<edge from-layer="951" from-port="2" to-layer="953" to-port="0" />
|
|
<edge from-layer="952" from-port="0" to-layer="953" to-port="1" />
|
|
<edge from-layer="953" from-port="2" to-layer="958" to-port="0" />
|
|
<edge from-layer="954" from-port="0" to-layer="958" to-port="1" />
|
|
<edge from-layer="955" from-port="0" to-layer="958" to-port="2" />
|
|
<edge from-layer="956" from-port="0" to-layer="958" to-port="3" />
|
|
<edge from-layer="957" from-port="0" to-layer="958" to-port="4" />
|
|
<edge from-layer="958" from-port="5" to-layer="960" to-port="0" />
|
|
<edge from-layer="959" from-port="0" to-layer="960" to-port="1" />
|
|
<edge from-layer="960" from-port="2" to-layer="962" to-port="0" />
|
|
<edge from-layer="961" from-port="0" to-layer="962" to-port="1" />
|
|
<edge from-layer="962" from-port="2" to-layer="980" to-port="0" />
|
|
<edge from-layer="963" from-port="0" to-layer="967" to-port="1" />
|
|
<edge from-layer="964" from-port="0" to-layer="967" to-port="2" />
|
|
<edge from-layer="965" from-port="0" to-layer="967" to-port="3" />
|
|
<edge from-layer="966" from-port="0" to-layer="967" to-port="4" />
|
|
<edge from-layer="967" from-port="5" to-layer="968" to-port="0" />
|
|
<edge from-layer="968" from-port="2" to-layer="970" to-port="0" />
|
|
<edge from-layer="969" from-port="0" to-layer="970" to-port="1" />
|
|
<edge from-layer="970" from-port="2" to-layer="975" to-port="0" />
|
|
<edge from-layer="971" from-port="0" to-layer="975" to-port="1" />
|
|
<edge from-layer="972" from-port="0" to-layer="975" to-port="2" />
|
|
<edge from-layer="973" from-port="0" to-layer="975" to-port="3" />
|
|
<edge from-layer="974" from-port="0" to-layer="975" to-port="4" />
|
|
<edge from-layer="975" from-port="5" to-layer="977" to-port="0" />
|
|
<edge from-layer="976" from-port="0" to-layer="977" to-port="1" />
|
|
<edge from-layer="977" from-port="2" to-layer="979" to-port="0" />
|
|
<edge from-layer="978" from-port="0" to-layer="979" to-port="1" />
|
|
<edge from-layer="979" from-port="2" to-layer="980" to-port="1" />
|
|
<edge from-layer="980" from-port="2" to-layer="982" to-port="0" />
|
|
<edge from-layer="981" from-port="0" to-layer="982" to-port="1" />
|
|
<edge from-layer="982" from-port="2" to-layer="983" to-port="0" />
|
|
<edge from-layer="983" from-port="2" to-layer="984" to-port="0" />
|
|
<edge from-layer="984" from-port="1" to-layer="997" to-port="0" />
|
|
<edge from-layer="985" from-port="0" to-layer="989" to-port="1" />
|
|
<edge from-layer="986" from-port="0" to-layer="989" to-port="2" />
|
|
<edge from-layer="987" from-port="0" to-layer="989" to-port="3" />
|
|
<edge from-layer="988" from-port="0" to-layer="989" to-port="4" />
|
|
<edge from-layer="989" from-port="5" to-layer="990" to-port="0" />
|
|
<edge from-layer="990" from-port="2" to-layer="992" to-port="0" />
|
|
<edge from-layer="991" from-port="0" to-layer="992" to-port="1" />
|
|
<edge from-layer="992" from-port="2" to-layer="994" to-port="0" />
|
|
<edge from-layer="993" from-port="0" to-layer="994" to-port="1" />
|
|
<edge from-layer="994" from-port="2" to-layer="996" to-port="0" />
|
|
<edge from-layer="995" from-port="0" to-layer="996" to-port="1" />
|
|
<edge from-layer="996" from-port="2" to-layer="997" to-port="1" />
|
|
<edge from-layer="997" from-port="2" to-layer="1002" to-port="0" />
|
|
<edge from-layer="998" from-port="0" to-layer="1002" to-port="1" />
|
|
<edge from-layer="999" from-port="0" to-layer="1002" to-port="2" />
|
|
<edge from-layer="1000" from-port="0" to-layer="1002" to-port="3" />
|
|
<edge from-layer="1001" from-port="0" to-layer="1002" to-port="4" />
|
|
<edge from-layer="1002" from-port="5" to-layer="1004" to-port="0" />
|
|
<edge from-layer="1003" from-port="0" to-layer="1004" to-port="1" />
|
|
<edge from-layer="1004" from-port="2" to-layer="1006" to-port="0" />
|
|
<edge from-layer="1005" from-port="0" to-layer="1006" to-port="1" />
|
|
<edge from-layer="1006" from-port="2" to-layer="1007" to-port="0" />
|
|
<edge from-layer="1007" from-port="2" to-layer="1009" to-port="0" />
|
|
<edge from-layer="1008" from-port="0" to-layer="1009" to-port="1" />
|
|
<edge from-layer="1009" from-port="2" to-layer="1010" to-port="1" />
|
|
<edge from-layer="1010" from-port="2" to-layer="1012" to-port="0" />
|
|
<edge from-layer="1011" from-port="0" to-layer="1012" to-port="1" />
|
|
<edge from-layer="1012" from-port="2" to-layer="1014" to-port="0" />
|
|
<edge from-layer="1013" from-port="0" to-layer="1014" to-port="1" />
|
|
<edge from-layer="1014" from-port="2" to-layer="1016" to-port="0" />
|
|
<edge from-layer="1015" from-port="0" to-layer="1016" to-port="1" />
|
|
<edge from-layer="1016" from-port="2" to-layer="1046" to-port="1" />
|
|
<edge from-layer="1016" from-port="2" to-layer="1021" to-port="0" />
|
|
<edge from-layer="1017" from-port="0" to-layer="1021" to-port="1" />
|
|
<edge from-layer="1018" from-port="0" to-layer="1021" to-port="2" />
|
|
<edge from-layer="1019" from-port="0" to-layer="1021" to-port="3" />
|
|
<edge from-layer="1020" from-port="0" to-layer="1021" to-port="4" />
|
|
<edge from-layer="1021" from-port="5" to-layer="1022" to-port="0" />
|
|
<edge from-layer="1022" from-port="2" to-layer="1024" to-port="0" />
|
|
<edge from-layer="1023" from-port="0" to-layer="1024" to-port="1" />
|
|
<edge from-layer="1024" from-port="2" to-layer="1031" to-port="0" />
|
|
<edge from-layer="1024" from-port="2" to-layer="1028" to-port="0" />
|
|
<edge from-layer="1024" from-port="2" to-layer="1026" to-port="0" />
|
|
<edge from-layer="1025" from-port="0" to-layer="1026" to-port="1" />
|
|
<edge from-layer="1026" from-port="2" to-layer="1037" to-port="0" />
|
|
<edge from-layer="1027" from-port="0" to-layer="1028" to-port="1" />
|
|
<edge from-layer="1028" from-port="2" to-layer="1030" to-port="0" />
|
|
<edge from-layer="1029" from-port="0" to-layer="1030" to-port="1" />
|
|
<edge from-layer="1030" from-port="2" to-layer="1031" to-port="1" />
|
|
<edge from-layer="1031" from-port="2" to-layer="1033" to-port="0" />
|
|
<edge from-layer="1032" from-port="0" to-layer="1033" to-port="1" />
|
|
<edge from-layer="1033" from-port="2" to-layer="1034" to-port="0" />
|
|
<edge from-layer="1034" from-port="1" to-layer="1036" to-port="0" />
|
|
<edge from-layer="1035" from-port="0" to-layer="1036" to-port="1" />
|
|
<edge from-layer="1036" from-port="2" to-layer="1037" to-port="1" />
|
|
<edge from-layer="1037" from-port="2" to-layer="1042" to-port="0" />
|
|
<edge from-layer="1038" from-port="0" to-layer="1042" to-port="1" />
|
|
<edge from-layer="1039" from-port="0" to-layer="1042" to-port="2" />
|
|
<edge from-layer="1040" from-port="0" to-layer="1042" to-port="3" />
|
|
<edge from-layer="1041" from-port="0" to-layer="1042" to-port="4" />
|
|
<edge from-layer="1042" from-port="5" to-layer="1043" to-port="0" />
|
|
<edge from-layer="1043" from-port="2" to-layer="1045" to-port="0" />
|
|
<edge from-layer="1044" from-port="0" to-layer="1045" to-port="1" />
|
|
<edge from-layer="1045" from-port="2" to-layer="1046" to-port="0" />
|
|
<edge from-layer="1046" from-port="2" to-layer="1048" to-port="0" />
|
|
<edge from-layer="1047" from-port="0" to-layer="1048" to-port="1" />
|
|
<edge from-layer="1048" from-port="2" to-layer="1050" to-port="0" />
|
|
<edge from-layer="1049" from-port="0" to-layer="1050" to-port="1" />
|
|
<edge from-layer="1050" from-port="2" to-layer="1052" to-port="0" />
|
|
<edge from-layer="1051" from-port="0" to-layer="1052" to-port="1" />
|
|
<edge from-layer="1052" from-port="2" to-layer="1074" to-port="0" />
|
|
<edge from-layer="1052" from-port="2" to-layer="1057" to-port="0" />
|
|
<edge from-layer="1052" from-port="2" to-layer="1096" to-port="0" />
|
|
<edge from-layer="1052" from-port="2" to-layer="1117" to-port="0" />
|
|
<edge from-layer="1053" from-port="0" to-layer="1057" to-port="1" />
|
|
<edge from-layer="1054" from-port="0" to-layer="1057" to-port="2" />
|
|
<edge from-layer="1055" from-port="0" to-layer="1057" to-port="3" />
|
|
<edge from-layer="1056" from-port="0" to-layer="1057" to-port="4" />
|
|
<edge from-layer="1057" from-port="5" to-layer="1058" to-port="0" />
|
|
<edge from-layer="1058" from-port="2" to-layer="1060" to-port="0" />
|
|
<edge from-layer="1059" from-port="0" to-layer="1060" to-port="1" />
|
|
<edge from-layer="1060" from-port="2" to-layer="1065" to-port="0" />
|
|
<edge from-layer="1061" from-port="0" to-layer="1065" to-port="1" />
|
|
<edge from-layer="1062" from-port="0" to-layer="1065" to-port="2" />
|
|
<edge from-layer="1063" from-port="0" to-layer="1065" to-port="3" />
|
|
<edge from-layer="1064" from-port="0" to-layer="1065" to-port="4" />
|
|
<edge from-layer="1065" from-port="5" to-layer="1067" to-port="0" />
|
|
<edge from-layer="1066" from-port="0" to-layer="1067" to-port="1" />
|
|
<edge from-layer="1067" from-port="2" to-layer="1069" to-port="0" />
|
|
<edge from-layer="1068" from-port="0" to-layer="1069" to-port="1" />
|
|
<edge from-layer="1069" from-port="2" to-layer="1087" to-port="0" />
|
|
<edge from-layer="1070" from-port="0" to-layer="1074" to-port="1" />
|
|
<edge from-layer="1071" from-port="0" to-layer="1074" to-port="2" />
|
|
<edge from-layer="1072" from-port="0" to-layer="1074" to-port="3" />
|
|
<edge from-layer="1073" from-port="0" to-layer="1074" to-port="4" />
|
|
<edge from-layer="1074" from-port="5" to-layer="1075" to-port="0" />
|
|
<edge from-layer="1075" from-port="2" to-layer="1077" to-port="0" />
|
|
<edge from-layer="1076" from-port="0" to-layer="1077" to-port="1" />
|
|
<edge from-layer="1077" from-port="2" to-layer="1082" to-port="0" />
|
|
<edge from-layer="1078" from-port="0" to-layer="1082" to-port="1" />
|
|
<edge from-layer="1079" from-port="0" to-layer="1082" to-port="2" />
|
|
<edge from-layer="1080" from-port="0" to-layer="1082" to-port="3" />
|
|
<edge from-layer="1081" from-port="0" to-layer="1082" to-port="4" />
|
|
<edge from-layer="1082" from-port="5" to-layer="1084" to-port="0" />
|
|
<edge from-layer="1083" from-port="0" to-layer="1084" to-port="1" />
|
|
<edge from-layer="1084" from-port="2" to-layer="1086" to-port="0" />
|
|
<edge from-layer="1085" from-port="0" to-layer="1086" to-port="1" />
|
|
<edge from-layer="1086" from-port="2" to-layer="1087" to-port="1" />
|
|
<edge from-layer="1087" from-port="2" to-layer="1089" to-port="0" />
|
|
<edge from-layer="1088" from-port="0" to-layer="1089" to-port="1" />
|
|
<edge from-layer="1089" from-port="2" to-layer="1090" to-port="0" />
|
|
<edge from-layer="1090" from-port="2" to-layer="1091" to-port="0" />
|
|
<edge from-layer="1091" from-port="1" to-layer="1104" to-port="0" />
|
|
<edge from-layer="1092" from-port="0" to-layer="1096" to-port="1" />
|
|
<edge from-layer="1093" from-port="0" to-layer="1096" to-port="2" />
|
|
<edge from-layer="1094" from-port="0" to-layer="1096" to-port="3" />
|
|
<edge from-layer="1095" from-port="0" to-layer="1096" to-port="4" />
|
|
<edge from-layer="1096" from-port="5" to-layer="1097" to-port="0" />
|
|
<edge from-layer="1097" from-port="2" to-layer="1099" to-port="0" />
|
|
<edge from-layer="1098" from-port="0" to-layer="1099" to-port="1" />
|
|
<edge from-layer="1099" from-port="2" to-layer="1101" to-port="0" />
|
|
<edge from-layer="1100" from-port="0" to-layer="1101" to-port="1" />
|
|
<edge from-layer="1101" from-port="2" to-layer="1103" to-port="0" />
|
|
<edge from-layer="1102" from-port="0" to-layer="1103" to-port="1" />
|
|
<edge from-layer="1103" from-port="2" to-layer="1104" to-port="1" />
|
|
<edge from-layer="1104" from-port="2" to-layer="1109" to-port="0" />
|
|
<edge from-layer="1105" from-port="0" to-layer="1109" to-port="1" />
|
|
<edge from-layer="1106" from-port="0" to-layer="1109" to-port="2" />
|
|
<edge from-layer="1107" from-port="0" to-layer="1109" to-port="3" />
|
|
<edge from-layer="1108" from-port="0" to-layer="1109" to-port="4" />
|
|
<edge from-layer="1109" from-port="5" to-layer="1111" to-port="0" />
|
|
<edge from-layer="1110" from-port="0" to-layer="1111" to-port="1" />
|
|
<edge from-layer="1111" from-port="2" to-layer="1113" to-port="0" />
|
|
<edge from-layer="1112" from-port="0" to-layer="1113" to-port="1" />
|
|
<edge from-layer="1113" from-port="2" to-layer="1114" to-port="0" />
|
|
<edge from-layer="1114" from-port="2" to-layer="1116" to-port="0" />
|
|
<edge from-layer="1115" from-port="0" to-layer="1116" to-port="1" />
|
|
<edge from-layer="1116" from-port="2" to-layer="1117" to-port="1" />
|
|
<edge from-layer="1117" from-port="2" to-layer="1119" to-port="0" />
|
|
<edge from-layer="1118" from-port="0" to-layer="1119" to-port="1" />
|
|
<edge from-layer="1119" from-port="2" to-layer="1121" to-port="0" />
|
|
<edge from-layer="1120" from-port="0" to-layer="1121" to-port="1" />
|
|
<edge from-layer="1121" from-port="2" to-layer="1123" to-port="0" />
|
|
<edge from-layer="1122" from-port="0" to-layer="1123" to-port="1" />
|
|
<edge from-layer="1123" from-port="2" to-layer="1128" to-port="0" />
|
|
<edge from-layer="1123" from-port="2" to-layer="1153" to-port="1" />
|
|
<edge from-layer="1124" from-port="0" to-layer="1128" to-port="1" />
|
|
<edge from-layer="1125" from-port="0" to-layer="1128" to-port="2" />
|
|
<edge from-layer="1126" from-port="0" to-layer="1128" to-port="3" />
|
|
<edge from-layer="1127" from-port="0" to-layer="1128" to-port="4" />
|
|
<edge from-layer="1128" from-port="5" to-layer="1129" to-port="0" />
|
|
<edge from-layer="1129" from-port="2" to-layer="1131" to-port="0" />
|
|
<edge from-layer="1130" from-port="0" to-layer="1131" to-port="1" />
|
|
<edge from-layer="1131" from-port="2" to-layer="1133" to-port="0" />
|
|
<edge from-layer="1131" from-port="2" to-layer="1135" to-port="0" />
|
|
<edge from-layer="1131" from-port="2" to-layer="1138" to-port="0" />
|
|
<edge from-layer="1132" from-port="0" to-layer="1133" to-port="1" />
|
|
<edge from-layer="1133" from-port="2" to-layer="1144" to-port="0" />
|
|
<edge from-layer="1134" from-port="0" to-layer="1135" to-port="1" />
|
|
<edge from-layer="1135" from-port="2" to-layer="1137" to-port="0" />
|
|
<edge from-layer="1136" from-port="0" to-layer="1137" to-port="1" />
|
|
<edge from-layer="1137" from-port="2" to-layer="1138" to-port="1" />
|
|
<edge from-layer="1138" from-port="2" to-layer="1140" to-port="0" />
|
|
<edge from-layer="1139" from-port="0" to-layer="1140" to-port="1" />
|
|
<edge from-layer="1140" from-port="2" to-layer="1141" to-port="0" />
|
|
<edge from-layer="1141" from-port="1" to-layer="1143" to-port="0" />
|
|
<edge from-layer="1142" from-port="0" to-layer="1143" to-port="1" />
|
|
<edge from-layer="1143" from-port="2" to-layer="1144" to-port="1" />
|
|
<edge from-layer="1144" from-port="2" to-layer="1149" to-port="0" />
|
|
<edge from-layer="1145" from-port="0" to-layer="1149" to-port="1" />
|
|
<edge from-layer="1146" from-port="0" to-layer="1149" to-port="2" />
|
|
<edge from-layer="1147" from-port="0" to-layer="1149" to-port="3" />
|
|
<edge from-layer="1148" from-port="0" to-layer="1149" to-port="4" />
|
|
<edge from-layer="1149" from-port="5" to-layer="1150" to-port="0" />
|
|
<edge from-layer="1150" from-port="2" to-layer="1152" to-port="0" />
|
|
<edge from-layer="1151" from-port="0" to-layer="1152" to-port="1" />
|
|
<edge from-layer="1152" from-port="2" to-layer="1153" to-port="0" />
|
|
<edge from-layer="1153" from-port="2" to-layer="1155" to-port="0" />
|
|
<edge from-layer="1154" from-port="0" to-layer="1155" to-port="1" />
|
|
<edge from-layer="1155" from-port="2" to-layer="1157" to-port="0" />
|
|
<edge from-layer="1156" from-port="0" to-layer="1157" to-port="1" />
|
|
<edge from-layer="1157" from-port="2" to-layer="1159" to-port="0" />
|
|
<edge from-layer="1158" from-port="0" to-layer="1159" to-port="1" />
|
|
<edge from-layer="1159" from-port="2" to-layer="1203" to-port="0" />
|
|
<edge from-layer="1159" from-port="2" to-layer="1181" to-port="0" />
|
|
<edge from-layer="1159" from-port="2" to-layer="1224" to-port="0" />
|
|
<edge from-layer="1159" from-port="2" to-layer="1164" to-port="0" />
|
|
<edge from-layer="1160" from-port="0" to-layer="1164" to-port="1" />
|
|
<edge from-layer="1161" from-port="0" to-layer="1164" to-port="2" />
|
|
<edge from-layer="1162" from-port="0" to-layer="1164" to-port="3" />
|
|
<edge from-layer="1163" from-port="0" to-layer="1164" to-port="4" />
|
|
<edge from-layer="1164" from-port="5" to-layer="1165" to-port="0" />
|
|
<edge from-layer="1165" from-port="2" to-layer="1167" to-port="0" />
|
|
<edge from-layer="1166" from-port="0" to-layer="1167" to-port="1" />
|
|
<edge from-layer="1167" from-port="2" to-layer="1172" to-port="0" />
|
|
<edge from-layer="1168" from-port="0" to-layer="1172" to-port="1" />
|
|
<edge from-layer="1169" from-port="0" to-layer="1172" to-port="2" />
|
|
<edge from-layer="1170" from-port="0" to-layer="1172" to-port="3" />
|
|
<edge from-layer="1171" from-port="0" to-layer="1172" to-port="4" />
|
|
<edge from-layer="1172" from-port="5" to-layer="1174" to-port="0" />
|
|
<edge from-layer="1173" from-port="0" to-layer="1174" to-port="1" />
|
|
<edge from-layer="1174" from-port="2" to-layer="1176" to-port="0" />
|
|
<edge from-layer="1175" from-port="0" to-layer="1176" to-port="1" />
|
|
<edge from-layer="1176" from-port="2" to-layer="1194" to-port="0" />
|
|
<edge from-layer="1177" from-port="0" to-layer="1181" to-port="1" />
|
|
<edge from-layer="1178" from-port="0" to-layer="1181" to-port="2" />
|
|
<edge from-layer="1179" from-port="0" to-layer="1181" to-port="3" />
|
|
<edge from-layer="1180" from-port="0" to-layer="1181" to-port="4" />
|
|
<edge from-layer="1181" from-port="5" to-layer="1182" to-port="0" />
|
|
<edge from-layer="1182" from-port="2" to-layer="1184" to-port="0" />
|
|
<edge from-layer="1183" from-port="0" to-layer="1184" to-port="1" />
|
|
<edge from-layer="1184" from-port="2" to-layer="1189" to-port="0" />
|
|
<edge from-layer="1185" from-port="0" to-layer="1189" to-port="1" />
|
|
<edge from-layer="1186" from-port="0" to-layer="1189" to-port="2" />
|
|
<edge from-layer="1187" from-port="0" to-layer="1189" to-port="3" />
|
|
<edge from-layer="1188" from-port="0" to-layer="1189" to-port="4" />
|
|
<edge from-layer="1189" from-port="5" to-layer="1191" to-port="0" />
|
|
<edge from-layer="1190" from-port="0" to-layer="1191" to-port="1" />
|
|
<edge from-layer="1191" from-port="2" to-layer="1193" to-port="0" />
|
|
<edge from-layer="1192" from-port="0" to-layer="1193" to-port="1" />
|
|
<edge from-layer="1193" from-port="2" to-layer="1194" to-port="1" />
|
|
<edge from-layer="1194" from-port="2" to-layer="1196" to-port="0" />
|
|
<edge from-layer="1195" from-port="0" to-layer="1196" to-port="1" />
|
|
<edge from-layer="1196" from-port="2" to-layer="1197" to-port="0" />
|
|
<edge from-layer="1197" from-port="2" to-layer="1198" to-port="0" />
|
|
<edge from-layer="1198" from-port="1" to-layer="1211" to-port="0" />
|
|
<edge from-layer="1199" from-port="0" to-layer="1203" to-port="1" />
|
|
<edge from-layer="1200" from-port="0" to-layer="1203" to-port="2" />
|
|
<edge from-layer="1201" from-port="0" to-layer="1203" to-port="3" />
|
|
<edge from-layer="1202" from-port="0" to-layer="1203" to-port="4" />
|
|
<edge from-layer="1203" from-port="5" to-layer="1204" to-port="0" />
|
|
<edge from-layer="1204" from-port="2" to-layer="1206" to-port="0" />
|
|
<edge from-layer="1205" from-port="0" to-layer="1206" to-port="1" />
|
|
<edge from-layer="1206" from-port="2" to-layer="1208" to-port="0" />
|
|
<edge from-layer="1207" from-port="0" to-layer="1208" to-port="1" />
|
|
<edge from-layer="1208" from-port="2" to-layer="1210" to-port="0" />
|
|
<edge from-layer="1209" from-port="0" to-layer="1210" to-port="1" />
|
|
<edge from-layer="1210" from-port="2" to-layer="1211" to-port="1" />
|
|
<edge from-layer="1211" from-port="2" to-layer="1216" to-port="0" />
|
|
<edge from-layer="1212" from-port="0" to-layer="1216" to-port="1" />
|
|
<edge from-layer="1213" from-port="0" to-layer="1216" to-port="2" />
|
|
<edge from-layer="1214" from-port="0" to-layer="1216" to-port="3" />
|
|
<edge from-layer="1215" from-port="0" to-layer="1216" to-port="4" />
|
|
<edge from-layer="1216" from-port="5" to-layer="1218" to-port="0" />
|
|
<edge from-layer="1217" from-port="0" to-layer="1218" to-port="1" />
|
|
<edge from-layer="1218" from-port="2" to-layer="1220" to-port="0" />
|
|
<edge from-layer="1219" from-port="0" to-layer="1220" to-port="1" />
|
|
<edge from-layer="1220" from-port="2" to-layer="1221" to-port="0" />
|
|
<edge from-layer="1221" from-port="2" to-layer="1223" to-port="0" />
|
|
<edge from-layer="1222" from-port="0" to-layer="1223" to-port="1" />
|
|
<edge from-layer="1223" from-port="2" to-layer="1224" to-port="1" />
|
|
<edge from-layer="1224" from-port="2" to-layer="1226" to-port="0" />
|
|
<edge from-layer="1225" from-port="0" to-layer="1226" to-port="1" />
|
|
<edge from-layer="1226" from-port="2" to-layer="1228" to-port="0" />
|
|
<edge from-layer="1227" from-port="0" to-layer="1228" to-port="1" />
|
|
<edge from-layer="1228" from-port="2" to-layer="1230" to-port="0" />
|
|
<edge from-layer="1229" from-port="0" to-layer="1230" to-port="1" />
|
|
<edge from-layer="1230" from-port="2" to-layer="1235" to-port="0" />
|
|
<edge from-layer="1230" from-port="2" to-layer="1260" to-port="1" />
|
|
<edge from-layer="1231" from-port="0" to-layer="1235" to-port="1" />
|
|
<edge from-layer="1232" from-port="0" to-layer="1235" to-port="2" />
|
|
<edge from-layer="1233" from-port="0" to-layer="1235" to-port="3" />
|
|
<edge from-layer="1234" from-port="0" to-layer="1235" to-port="4" />
|
|
<edge from-layer="1235" from-port="5" to-layer="1236" to-port="0" />
|
|
<edge from-layer="1236" from-port="2" to-layer="1238" to-port="0" />
|
|
<edge from-layer="1237" from-port="0" to-layer="1238" to-port="1" />
|
|
<edge from-layer="1238" from-port="2" to-layer="1240" to-port="0" />
|
|
<edge from-layer="1238" from-port="2" to-layer="1242" to-port="0" />
|
|
<edge from-layer="1238" from-port="2" to-layer="1245" to-port="0" />
|
|
<edge from-layer="1239" from-port="0" to-layer="1240" to-port="1" />
|
|
<edge from-layer="1240" from-port="2" to-layer="1251" to-port="0" />
|
|
<edge from-layer="1241" from-port="0" to-layer="1242" to-port="1" />
|
|
<edge from-layer="1242" from-port="2" to-layer="1244" to-port="0" />
|
|
<edge from-layer="1243" from-port="0" to-layer="1244" to-port="1" />
|
|
<edge from-layer="1244" from-port="2" to-layer="1245" to-port="1" />
|
|
<edge from-layer="1245" from-port="2" to-layer="1247" to-port="0" />
|
|
<edge from-layer="1246" from-port="0" to-layer="1247" to-port="1" />
|
|
<edge from-layer="1247" from-port="2" to-layer="1248" to-port="0" />
|
|
<edge from-layer="1248" from-port="1" to-layer="1250" to-port="0" />
|
|
<edge from-layer="1249" from-port="0" to-layer="1250" to-port="1" />
|
|
<edge from-layer="1250" from-port="2" to-layer="1251" to-port="1" />
|
|
<edge from-layer="1251" from-port="2" to-layer="1256" to-port="0" />
|
|
<edge from-layer="1252" from-port="0" to-layer="1256" to-port="1" />
|
|
<edge from-layer="1253" from-port="0" to-layer="1256" to-port="2" />
|
|
<edge from-layer="1254" from-port="0" to-layer="1256" to-port="3" />
|
|
<edge from-layer="1255" from-port="0" to-layer="1256" to-port="4" />
|
|
<edge from-layer="1256" from-port="5" to-layer="1257" to-port="0" />
|
|
<edge from-layer="1257" from-port="2" to-layer="1259" to-port="0" />
|
|
<edge from-layer="1258" from-port="0" to-layer="1259" to-port="1" />
|
|
<edge from-layer="1259" from-port="2" to-layer="1260" to-port="0" />
|
|
<edge from-layer="1260" from-port="2" to-layer="1262" to-port="0" />
|
|
<edge from-layer="1261" from-port="0" to-layer="1262" to-port="1" />
|
|
<edge from-layer="1262" from-port="2" to-layer="1264" to-port="0" />
|
|
<edge from-layer="1263" from-port="0" to-layer="1264" to-port="1" />
|
|
<edge from-layer="1264" from-port="2" to-layer="1266" to-port="0" />
|
|
<edge from-layer="1265" from-port="0" to-layer="1266" to-port="1" />
|
|
<edge from-layer="1266" from-port="2" to-layer="1288" to-port="0" />
|
|
<edge from-layer="1266" from-port="2" to-layer="1310" to-port="0" />
|
|
<edge from-layer="1266" from-port="2" to-layer="1331" to-port="0" />
|
|
<edge from-layer="1266" from-port="2" to-layer="1271" to-port="0" />
|
|
<edge from-layer="1267" from-port="0" to-layer="1271" to-port="1" />
|
|
<edge from-layer="1268" from-port="0" to-layer="1271" to-port="2" />
|
|
<edge from-layer="1269" from-port="0" to-layer="1271" to-port="3" />
|
|
<edge from-layer="1270" from-port="0" to-layer="1271" to-port="4" />
|
|
<edge from-layer="1271" from-port="5" to-layer="1272" to-port="0" />
|
|
<edge from-layer="1272" from-port="2" to-layer="1274" to-port="0" />
|
|
<edge from-layer="1273" from-port="0" to-layer="1274" to-port="1" />
|
|
<edge from-layer="1274" from-port="2" to-layer="1279" to-port="0" />
|
|
<edge from-layer="1275" from-port="0" to-layer="1279" to-port="1" />
|
|
<edge from-layer="1276" from-port="0" to-layer="1279" to-port="2" />
|
|
<edge from-layer="1277" from-port="0" to-layer="1279" to-port="3" />
|
|
<edge from-layer="1278" from-port="0" to-layer="1279" to-port="4" />
|
|
<edge from-layer="1279" from-port="5" to-layer="1281" to-port="0" />
|
|
<edge from-layer="1280" from-port="0" to-layer="1281" to-port="1" />
|
|
<edge from-layer="1281" from-port="2" to-layer="1283" to-port="0" />
|
|
<edge from-layer="1282" from-port="0" to-layer="1283" to-port="1" />
|
|
<edge from-layer="1283" from-port="2" to-layer="1301" to-port="0" />
|
|
<edge from-layer="1284" from-port="0" to-layer="1288" to-port="1" />
|
|
<edge from-layer="1285" from-port="0" to-layer="1288" to-port="2" />
|
|
<edge from-layer="1286" from-port="0" to-layer="1288" to-port="3" />
|
|
<edge from-layer="1287" from-port="0" to-layer="1288" to-port="4" />
|
|
<edge from-layer="1288" from-port="5" to-layer="1289" to-port="0" />
|
|
<edge from-layer="1289" from-port="2" to-layer="1291" to-port="0" />
|
|
<edge from-layer="1290" from-port="0" to-layer="1291" to-port="1" />
|
|
<edge from-layer="1291" from-port="2" to-layer="1296" to-port="0" />
|
|
<edge from-layer="1292" from-port="0" to-layer="1296" to-port="1" />
|
|
<edge from-layer="1293" from-port="0" to-layer="1296" to-port="2" />
|
|
<edge from-layer="1294" from-port="0" to-layer="1296" to-port="3" />
|
|
<edge from-layer="1295" from-port="0" to-layer="1296" to-port="4" />
|
|
<edge from-layer="1296" from-port="5" to-layer="1298" to-port="0" />
|
|
<edge from-layer="1297" from-port="0" to-layer="1298" to-port="1" />
|
|
<edge from-layer="1298" from-port="2" to-layer="1300" to-port="0" />
|
|
<edge from-layer="1299" from-port="0" to-layer="1300" to-port="1" />
|
|
<edge from-layer="1300" from-port="2" to-layer="1301" to-port="1" />
|
|
<edge from-layer="1301" from-port="2" to-layer="1303" to-port="0" />
|
|
<edge from-layer="1302" from-port="0" to-layer="1303" to-port="1" />
|
|
<edge from-layer="1303" from-port="2" to-layer="1304" to-port="0" />
|
|
<edge from-layer="1304" from-port="2" to-layer="1305" to-port="0" />
|
|
<edge from-layer="1305" from-port="1" to-layer="1318" to-port="0" />
|
|
<edge from-layer="1306" from-port="0" to-layer="1310" to-port="1" />
|
|
<edge from-layer="1307" from-port="0" to-layer="1310" to-port="2" />
|
|
<edge from-layer="1308" from-port="0" to-layer="1310" to-port="3" />
|
|
<edge from-layer="1309" from-port="0" to-layer="1310" to-port="4" />
|
|
<edge from-layer="1310" from-port="5" to-layer="1311" to-port="0" />
|
|
<edge from-layer="1311" from-port="2" to-layer="1313" to-port="0" />
|
|
<edge from-layer="1312" from-port="0" to-layer="1313" to-port="1" />
|
|
<edge from-layer="1313" from-port="2" to-layer="1315" to-port="0" />
|
|
<edge from-layer="1314" from-port="0" to-layer="1315" to-port="1" />
|
|
<edge from-layer="1315" from-port="2" to-layer="1317" to-port="0" />
|
|
<edge from-layer="1316" from-port="0" to-layer="1317" to-port="1" />
|
|
<edge from-layer="1317" from-port="2" to-layer="1318" to-port="1" />
|
|
<edge from-layer="1318" from-port="2" to-layer="1323" to-port="0" />
|
|
<edge from-layer="1319" from-port="0" to-layer="1323" to-port="1" />
|
|
<edge from-layer="1320" from-port="0" to-layer="1323" to-port="2" />
|
|
<edge from-layer="1321" from-port="0" to-layer="1323" to-port="3" />
|
|
<edge from-layer="1322" from-port="0" to-layer="1323" to-port="4" />
|
|
<edge from-layer="1323" from-port="5" to-layer="1325" to-port="0" />
|
|
<edge from-layer="1324" from-port="0" to-layer="1325" to-port="1" />
|
|
<edge from-layer="1325" from-port="2" to-layer="1327" to-port="0" />
|
|
<edge from-layer="1326" from-port="0" to-layer="1327" to-port="1" />
|
|
<edge from-layer="1327" from-port="2" to-layer="1328" to-port="0" />
|
|
<edge from-layer="1328" from-port="2" to-layer="1330" to-port="0" />
|
|
<edge from-layer="1329" from-port="0" to-layer="1330" to-port="1" />
|
|
<edge from-layer="1330" from-port="2" to-layer="1331" to-port="1" />
|
|
<edge from-layer="1331" from-port="2" to-layer="1333" to-port="0" />
|
|
<edge from-layer="1332" from-port="0" to-layer="1333" to-port="1" />
|
|
<edge from-layer="1333" from-port="2" to-layer="1335" to-port="0" />
|
|
<edge from-layer="1334" from-port="0" to-layer="1335" to-port="1" />
|
|
<edge from-layer="1335" from-port="2" to-layer="1337" to-port="0" />
|
|
<edge from-layer="1336" from-port="0" to-layer="1337" to-port="1" />
|
|
<edge from-layer="1337" from-port="2" to-layer="1342" to-port="0" />
|
|
<edge from-layer="1337" from-port="2" to-layer="1367" to-port="1" />
|
|
<edge from-layer="1338" from-port="0" to-layer="1342" to-port="1" />
|
|
<edge from-layer="1339" from-port="0" to-layer="1342" to-port="2" />
|
|
<edge from-layer="1340" from-port="0" to-layer="1342" to-port="3" />
|
|
<edge from-layer="1341" from-port="0" to-layer="1342" to-port="4" />
|
|
<edge from-layer="1342" from-port="5" to-layer="1343" to-port="0" />
|
|
<edge from-layer="1343" from-port="2" to-layer="1345" to-port="0" />
|
|
<edge from-layer="1344" from-port="0" to-layer="1345" to-port="1" />
|
|
<edge from-layer="1345" from-port="2" to-layer="1347" to-port="0" />
|
|
<edge from-layer="1345" from-port="2" to-layer="1349" to-port="0" />
|
|
<edge from-layer="1345" from-port="2" to-layer="1352" to-port="0" />
|
|
<edge from-layer="1346" from-port="0" to-layer="1347" to-port="1" />
|
|
<edge from-layer="1347" from-port="2" to-layer="1358" to-port="0" />
|
|
<edge from-layer="1348" from-port="0" to-layer="1349" to-port="1" />
|
|
<edge from-layer="1349" from-port="2" to-layer="1351" to-port="0" />
|
|
<edge from-layer="1350" from-port="0" to-layer="1351" to-port="1" />
|
|
<edge from-layer="1351" from-port="2" to-layer="1352" to-port="1" />
|
|
<edge from-layer="1352" from-port="2" to-layer="1354" to-port="0" />
|
|
<edge from-layer="1353" from-port="0" to-layer="1354" to-port="1" />
|
|
<edge from-layer="1354" from-port="2" to-layer="1355" to-port="0" />
|
|
<edge from-layer="1355" from-port="1" to-layer="1357" to-port="0" />
|
|
<edge from-layer="1356" from-port="0" to-layer="1357" to-port="1" />
|
|
<edge from-layer="1357" from-port="2" to-layer="1358" to-port="1" />
|
|
<edge from-layer="1358" from-port="2" to-layer="1363" to-port="0" />
|
|
<edge from-layer="1359" from-port="0" to-layer="1363" to-port="1" />
|
|
<edge from-layer="1360" from-port="0" to-layer="1363" to-port="2" />
|
|
<edge from-layer="1361" from-port="0" to-layer="1363" to-port="3" />
|
|
<edge from-layer="1362" from-port="0" to-layer="1363" to-port="4" />
|
|
<edge from-layer="1363" from-port="5" to-layer="1364" to-port="0" />
|
|
<edge from-layer="1364" from-port="2" to-layer="1366" to-port="0" />
|
|
<edge from-layer="1365" from-port="0" to-layer="1366" to-port="1" />
|
|
<edge from-layer="1366" from-port="2" to-layer="1367" to-port="0" />
|
|
<edge from-layer="1367" from-port="2" to-layer="1369" to-port="0" />
|
|
<edge from-layer="1368" from-port="0" to-layer="1369" to-port="1" />
|
|
<edge from-layer="1369" from-port="2" to-layer="1371" to-port="0" />
|
|
<edge from-layer="1370" from-port="0" to-layer="1371" to-port="1" />
|
|
<edge from-layer="1371" from-port="2" to-layer="1373" to-port="0" />
|
|
<edge from-layer="1372" from-port="0" to-layer="1373" to-port="1" />
|
|
<edge from-layer="1373" from-port="2" to-layer="1374" to-port="0" />
|
|
</edges>
|
|
<rt_info>
|
|
<Runtime_version value="2024.4.1-16618-643f23d1318-releases/2024/4" />
|
|
<conversion_parameters>
|
|
<framework value="pytorch" />
|
|
<is_python_object value="True" />
|
|
</conversion_parameters>
|
|
<nncf>
|
|
<friendly_names_were_updated value="True" />
|
|
<quantization>
|
|
<advanced_parameters value="{'overflow_fix': 'disable', 'quantize_outputs': False, 'inplace_statistics': True, 'disable_channel_alignment': True, 'disable_bias_correction': False, 'batchwise_statistics': None, 'activations_quantization_params': None, 'weights_quantization_params': None, 'activations_range_estimator_params': {'min': {'statistics_type': None, 'aggregator_type': None, 'clipping_value': None, 'quantile_outlier_prob': 0.0001}, 'max': {'statistics_type': None, 'aggregator_type': None, 'clipping_value': None, 'quantile_outlier_prob': 0.0001}}, 'weights_range_estimator_params': {'min': {'statistics_type': None, 'aggregator_type': None, 'clipping_value': None, 'quantile_outlier_prob': 0.0001}, 'max': {'statistics_type': None, 'aggregator_type': None, 'clipping_value': None, 'quantile_outlier_prob': 0.0001}}, 'bias_correction_params': {'apply_for_all_nodes': False, 'threshold': None}, 'smooth_quant_alphas': {'convolution': -1, 'matmul': 0.95}, 'smooth_quant_alpha': None, 'backend_params': {}}" />
|
|
<fast_bias_correction value="True" />
|
|
<ignored_scope>
|
|
<types value="['GroupNormalization']" />
|
|
</ignored_scope>
|
|
<model_type value="transformer" />
|
|
<preset value="mixed" />
|
|
<subset_size value="300" />
|
|
<target_device value="ANY" />
|
|
</quantization>
|
|
</nncf>
|
|
<optimum>
|
|
<optimum_intel_version value="1.20.0.dev0+b31524c" />
|
|
<optimum_version value="1.23.0" />
|
|
<pytorch_version value="2.5.0.dev20240807+cu121" />
|
|
<transformers_version value="4.43.4" />
|
|
</optimum>
|
|
</rt_info>
|
|
</net>
|