tiny_russian_toxic_bert-openvino / openvino_model.xml
chgk13's picture
Upload openvino_model.xml with huggingface_hub
b0f3f6c verified
<?xml version="1.0"?>
<net name="Model0" 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="self.bert.embeddings.word_embeddings.weight" type="Const" version="opset1">
<data element_type="f32" shape="29564, 312" offset="0" size="36895872" />
<output>
<port id="0" precision="FP32" names="self.bert.embeddings.word_embeddings.weight">
<dim>29564</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="4" name="__module.bert.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="5" name="__module.bert.embeddings.word_embeddings/aten::embedding/Constant" type="Const" version="opset1">
<data element_type="i32" shape="" offset="36895872" size="4" />
<output>
<port id="0" precision="I32" />
</output>
</layer>
<layer id="6" name="__module.bert.embeddings.word_embeddings/aten::embedding/Gather" type="Gather" version="opset8">
<data batch_dims="0" />
<input>
<port id="0" precision="FP32">
<dim>29564</dim>
<dim>312</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="48,inputs_embeds">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="7" name="self.bert.embeddings.token_type_embeddings.weight" type="Const" version="opset1">
<data element_type="f32" shape="2, 312" offset="36895876" size="2496" />
<output>
<port id="0" precision="FP32" names="self.bert.embeddings.token_type_embeddings.weight">
<dim>2</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="8" name="__module.bert.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="9" name="__module.bert.embeddings.token_type_embeddings/aten::embedding/Constant" type="Const" version="opset1">
<data element_type="i32" shape="" offset="36895872" size="4" />
<output>
<port id="0" precision="I32" />
</output>
</layer>
<layer id="10" name="__module.bert.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>312</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="50,token_type_embeddings.1">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="11" name="__module.bert.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="51_1">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="12" name="self.bert.embeddings.position_embeddings.weight" type="Const" version="opset1">
<data element_type="f32" shape="512, 312" offset="36898372" size="638976" />
<output>
<port id="0" precision="FP32" names="self.bert.embeddings.position_embeddings.weight">
<dim>512</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="13" name="__module.bert.embeddings/aten::slice/Slice" type="Const" version="opset1">
<data element_type="i64" shape="1, 512" offset="37537348" size="4096" />
<output>
<port id="0" precision="I64" names="45">
<dim>1</dim>
<dim>512</dim>
</port>
</output>
</layer>
<layer id="14" name="Constant_4010" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="37541444" size="16" />
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="15" name="Constant_4011" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="37541444" size="16" />
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="16" name="Constant_4007" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="37541460" size="8" />
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="17" name="ShapeOf_4293" 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="18" name="Constant_4393" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="37541460" size="8" />
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="19" name="Constant_4295" type="Const" version="opset1">
<data element_type="i64" shape="" offset="37541468" size="8" />
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="20" name="Gather_4296" 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="35,41,43,44,61">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="21" name="Constant_4006" type="Const" version="opset1">
<data element_type="i32" shape="1" offset="36895872" size="4" />
<output>
<port id="0" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="22" name="ScatterUpdate_4012" type="ScatterUpdate" version="opset3">
<input>
<port id="0" precision="I64">
<dim>2</dim>
</port>
<port id="1" precision="I64">
<dim>1</dim>
</port>
<port id="2" precision="I64">
<dim>1</dim>
</port>
<port id="3" precision="I32">
<dim>1</dim>
</port>
</input>
<output>
<port id="4" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="23" name="Constant_4015" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="37541476" size="16" />
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="24" name="__module.bert.embeddings/aten::slice/Slice_1" type="StridedSlice" version="opset1">
<data begin_mask="1, 0" end_mask="1, 0" new_axis_mask="" shrink_axis_mask="" ellipsis_mask="" />
<input>
<port id="0" precision="I64">
<dim>1</dim>
<dim>512</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
<port id="2" precision="I64">
<dim>2</dim>
</port>
<port id="3" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="4" precision="I64" names="46">
<dim>1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="25" name="__module.bert.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="26" name="__module.bert.embeddings.position_embeddings/aten::embedding/Constant" type="Const" version="opset1">
<data element_type="i32" shape="" offset="36895872" size="4" />
<output>
<port id="0" precision="I32" />
</output>
</layer>
<layer id="27" name="__module.bert.embeddings.position_embeddings/aten::embedding/Gather" type="Gather" version="opset8">
<data batch_dims="0" />
<input>
<port id="0" precision="FP32">
<dim>512</dim>
<dim>312</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="53,position_embeddings.1">
<dim>1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="28" name="__module.bert.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="51,embeddings.1">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="29" name="__module.bert.embeddings.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
<data element_type="i32" shape="1" offset="37541492" size="4" />
<output>
<port id="0" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="30" name="__module.bert.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>312</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>312</dim>
</port>
</output>
</layer>
<layer id="31" name="Constant_4207" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 312" offset="37541496" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="32" name="__module.bert.embeddings.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="33" name="Constant_4208" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 312" offset="37542744" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="34" name="__module.bert.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="58,input.1">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="35" name="self.bert.encoder.layer.0.attention.self.query.weight" type="Const" version="opset1">
<data element_type="f32" shape="312, 312" offset="37543992" size="389376" />
<output>
<port id="0" precision="FP32" names="self.bert.encoder.layer.0.attention.self.query.weight">
<dim>312</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="36" name="__module.bert.encoder.layer.0.attention.self.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>312</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="37" name="Constant_4209" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 312" offset="37933368" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="38" name="__module.bert.encoder.layer.0.attention.self.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="90,x.1">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="39" name="__module.bert.encoder.layer.0.attention.self/prim::ListConstruct/Concat" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="37934616" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="40" name="__module.bert.encoder.layer.0.attention.self/aten::view/Reshape" type="Reshape" version="opset1">
<data special_zero="true" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="94,x.3">
<dim>-1</dim>
<dim>-1</dim>
<dim>12</dim>
<dim>26</dim>
</port>
</output>
</layer>
<layer id="41" name="Constant_191" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="37934648" size="32" />
<output>
<port id="0" precision="I64" names="95">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="42" name="__module.bert.encoder.layer.0.attention.self/aten::permute/Transpose" type="Transpose" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>12</dim>
<dim>26</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="96">
<dim>-1</dim>
<dim>12</dim>
<dim>-1</dim>
<dim>26</dim>
</port>
</output>
</layer>
<layer id="43" name="self.bert.encoder.layer.0.attention.self.key.weight" type="Const" version="opset1">
<data element_type="f32" shape="312, 312" offset="37934680" size="389376" />
<output>
<port id="0" precision="FP32" names="self.bert.encoder.layer.0.attention.self.key.weight">
<dim>312</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="44" name="__module.bert.encoder.layer.0.attention.self.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>312</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="45" name="Constant_4210" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 312" offset="38324056" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="46" name="__module.bert.encoder.layer.0.attention.self.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="99,x.5">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="47" name="__module.bert.encoder.layer.0.attention.self/prim::ListConstruct/Concat_1" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="37934616" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="48" name="__module.bert.encoder.layer.0.attention.self/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>312</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="103,x.7">
<dim>-1</dim>
<dim>-1</dim>
<dim>12</dim>
<dim>26</dim>
</port>
</output>
</layer>
<layer id="49" name="Constant_216" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="37934648" size="32" />
<output>
<port id="0" precision="I64" names="104">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="50" name="__module.bert.encoder.layer.0.attention.self/aten::permute/Transpose_1" type="Transpose" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>12</dim>
<dim>26</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="105">
<dim>-1</dim>
<dim>12</dim>
<dim>-1</dim>
<dim>26</dim>
</port>
</output>
</layer>
<layer id="51" name="self.bert.encoder.layer.0.attention.self.value.weight" type="Const" version="opset1">
<data element_type="f32" shape="312, 312" offset="38325304" size="389376" />
<output>
<port id="0" precision="FP32" names="self.bert.encoder.layer.0.attention.self.value.weight">
<dim>312</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="52" name="__module.bert.encoder.layer.0.attention.self.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>312</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="53" name="Constant_4211" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 312" offset="38714680" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="54" name="__module.bert.encoder.layer.0.attention.self.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="108,x.9">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="55" name="__module.bert.encoder.layer.0.attention.self/prim::ListConstruct/Concat_2" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="37934616" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="56" name="__module.bert.encoder.layer.0.attention.self/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>312</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="112,x.11">
<dim>-1</dim>
<dim>-1</dim>
<dim>12</dim>
<dim>26</dim>
</port>
</output>
</layer>
<layer id="57" name="Constant_241" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="37934648" size="32" />
<output>
<port id="0" precision="I64" names="113">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="58" name="__module.bert.encoder.layer.0.attention.self/aten::permute/Transpose_2" type="Transpose" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>12</dim>
<dim>26</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="114">
<dim>-1</dim>
<dim>12</dim>
<dim>-1</dim>
<dim>26</dim>
</port>
</output>
</layer>
<layer id="59" name="Constant_4213" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 1, 1" offset="38715928" 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="60" name="Constant_4291" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="38715932" size="16" />
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="61" name="__module.bert/aten::unsqueeze/Unsqueeze_1" type="Unsqueeze" version="opset1">
<input>
<port id="0" precision="I64">
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="64,65">
<dim>-1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="62" name="Constant_4299" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="37541468" size="8" />
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="63" name="Constant_4300" type="Const" version="opset1">
<data element_type="i64" shape="" offset="37541468" size="8" />
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="64" name="Gather_4301" 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="60">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="65" name="Constant_3713" type="Const" version="opset1">
<data element_type="i64" shape="1" offset="37541460" size="8" />
<output>
<port id="0" precision="I64">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="66" name="Constant_4395" type="Const" version="opset1">
<data element_type="i64" shape="2" offset="37541476" size="16" />
<output>
<port id="0" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="67" name="Constant_4396" type="Const" version="opset1">
<data element_type="i64" shape="" offset="37541468" size="8" />
<output>
<port id="0" precision="I64" />
</output>
</layer>
<layer id="68" name="Gather_4397" type="Gather" version="opset8">
<data batch_dims="0" />
<input>
<port id="0" precision="I64">
<dim>2</dim>
</port>
<port id="1" precision="I64">
<dim>2</dim>
</port>
<port id="2" precision="I64" />
</input>
<output>
<port id="3" precision="I64">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="69" name="__module.bert/prim::ListConstruct/Concat" type="Concat" version="opset1">
<data axis="0" />
<input>
<port id="0" precision="I64">
<dim>1</dim>
</port>
<port id="1" precision="I64">
<dim>1</dim>
</port>
<port id="2" precision="I64">
<dim>2</dim>
</port>
</input>
<output>
<port id="3" precision="I64" names="66">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="70" name="__module.bert/aten::expand/Broadcast" type="Broadcast" version="opset3">
<data mode="bidirectional" />
<input>
<port id="0" precision="I64">
<dim>-1</dim>
<dim>1</dim>
<dim>1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="I64" names="67">
<dim>-1</dim>
<dim>1</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="71" name="__module.bert/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="68">
<dim>-1</dim>
<dim>1</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="72" name="Constant_4212" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 1, 1" offset="38715928" 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="73" name="__module.bert/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="74" name="__module.bert/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="69,inverted_mask">
<dim>-1</dim>
<dim>1</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="75" name="__module.bert/aten::to/Convert_1" type="Convert" version="opset1">
<data destination_type="boolean" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>1</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="1" precision="BOOL" names="70">
<dim>-1</dim>
<dim>1</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="76" name="__module.bert/aten::masked_fill/ConvertLike" type="Const" version="opset1">
<data element_type="f32" shape="" offset="38715948" size="4" />
<output>
<port id="0" precision="FP32" />
</output>
</layer>
<layer id="77" name="__module.bert/aten::masked_fill/Select" type="Select" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="BOOL">
<dim>-1</dim>
<dim>1</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="FP32" />
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>1</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="3" precision="FP32" names="71">
<dim>-1</dim>
<dim>1</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="78" name="__module.bert.encoder.layer.0.attention.self/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
<data causal="false" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>12</dim>
<dim>-1</dim>
<dim>26</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>12</dim>
<dim>-1</dim>
<dim>26</dim>
</port>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>12</dim>
<dim>-1</dim>
<dim>26</dim>
</port>
<port id="3" precision="FP32">
<dim>-1</dim>
<dim>1</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="4" precision="FP32" names="115,attn_output.1">
<dim>-1</dim>
<dim>12</dim>
<dim>-1</dim>
<dim>26</dim>
</port>
</output>
</layer>
<layer id="79" name="__module.bert.encoder.layer.0.attention.self/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
<data element_type="i32" shape="4" offset="38715952" size="16" />
<output>
<port id="0" precision="I32">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="80" name="__module.bert.encoder.layer.0.attention.self/aten::transpose/Transpose" type="Transpose" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>12</dim>
<dim>-1</dim>
<dim>26</dim>
</port>
<port id="1" precision="I32">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="116,attn_output.3">
<dim>-1</dim>
<dim>-1</dim>
<dim>12</dim>
<dim>26</dim>
</port>
</output>
</layer>
<layer id="81" name="Constant_4309" type="Const" version="opset1">
<data element_type="i64" shape="3" offset="38715968" size="24" />
<output>
<port id="0" precision="I64">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="82" name="__module.bert.encoder.layer.0.attention.self/aten::reshape/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>26</dim>
</port>
<port id="1" precision="I64">
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="118">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="83" name="self.bert.encoder.layer.0.attention.output.dense.weight" type="Const" version="opset1">
<data element_type="f32" shape="312, 312" offset="38715992" size="389376" />
<output>
<port id="0" precision="FP32" names="self.bert.encoder.layer.0.attention.output.dense.weight">
<dim>312</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="84" name="__module.bert.encoder.layer.0.attention.output.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>312</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="85" name="Constant_4214" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 312" offset="39105368" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="86" name="__module.bert.encoder.layer.0.attention.output.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="123,input.3">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="87" name="__module.bert.encoder.layer.0.attention.output/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="125">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="88" name="__module.bert.encoder.layer.0.attention.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
<data element_type="i32" shape="1" offset="37541492" size="4" />
<output>
<port id="0" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="89" name="__module.bert.encoder.layer.0.attention.output.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>312</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>312</dim>
</port>
</output>
</layer>
<layer id="90" name="Constant_4215" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 312" offset="39106616" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="91" name="__module.bert.encoder.layer.0.attention.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="92" name="Constant_4216" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 312" offset="39107864" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="93" name="__module.bert.encoder.layer.0.attention.output.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="129,input_tensor.1">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="94" name="self.bert.encoder.layer.0.intermediate.dense.weight" type="Const" version="opset1">
<data element_type="f32" shape="600, 312" offset="39109112" size="748800" />
<output>
<port id="0" precision="FP32" names="self.bert.encoder.layer.0.intermediate.dense.weight">
<dim>600</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="95" name="__module.bert.encoder.layer.0.intermediate.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>600</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>600</dim>
</port>
</output>
</layer>
<layer id="96" name="Constant_4217" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 600" offset="39857912" size="2400" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>600</dim>
</port>
</output>
</layer>
<layer id="97" name="__module.bert.encoder.layer.0.intermediate.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>600</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>600</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="133">
<dim>-1</dim>
<dim>-1</dim>
<dim>600</dim>
</port>
</output>
</layer>
<layer id="98" name="__module.bert.encoder.layer.0.intermediate.intermediate_act_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>600</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="134">
<dim>-1</dim>
<dim>-1</dim>
<dim>600</dim>
</port>
</output>
</layer>
<layer id="99" name="self.bert.encoder.layer.0.output.dense.weight" type="Const" version="opset1">
<data element_type="f32" shape="312, 600" offset="39860312" size="748800" />
<output>
<port id="0" precision="FP32" names="self.bert.encoder.layer.0.output.dense.weight">
<dim>312</dim>
<dim>600</dim>
</port>
</output>
</layer>
<layer id="100" name="__module.bert.encoder.layer.0.output.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>600</dim>
</port>
<port id="1" precision="FP32">
<dim>312</dim>
<dim>600</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="101" name="Constant_4218" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 312" offset="40609112" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="102" name="__module.bert.encoder.layer.0.output.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="139,input.5">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="103" name="__module.bert.encoder.layer.0.output/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="141">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="104" name="__module.bert.encoder.layer.0.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
<data element_type="i32" shape="1" offset="37541492" size="4" />
<output>
<port id="0" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="105" name="__module.bert.encoder.layer.0.output.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>312</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>312</dim>
</port>
</output>
</layer>
<layer id="106" name="Constant_4219" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 312" offset="40610360" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="107" name="__module.bert.encoder.layer.0.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="108" name="Constant_4220" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 312" offset="40611608" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="109" name="__module.bert.encoder.layer.0.output.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="145,hidden_states.7">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="110" name="self.bert.encoder.layer.1.attention.self.query.weight" type="Const" version="opset1">
<data element_type="f32" shape="312, 312" offset="40612856" size="389376" />
<output>
<port id="0" precision="FP32" names="self.bert.encoder.layer.1.attention.self.query.weight">
<dim>312</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="111" name="__module.bert.encoder.layer.1.attention.self.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>312</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="112" name="Constant_4221" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 312" offset="41002232" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="113" name="__module.bert.encoder.layer.1.attention.self.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="158,x.13">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="114" name="__module.bert.encoder.layer.1.attention.self/prim::ListConstruct/Concat" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="37934616" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="115" name="__module.bert.encoder.layer.1.attention.self/aten::view/Reshape" type="Reshape" version="opset1">
<data special_zero="true" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="162,x.15">
<dim>-1</dim>
<dim>-1</dim>
<dim>12</dim>
<dim>26</dim>
</port>
</output>
</layer>
<layer id="116" name="Constant_380" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="37934648" size="32" />
<output>
<port id="0" precision="I64" names="163">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="117" name="__module.bert.encoder.layer.1.attention.self/aten::permute/Transpose" type="Transpose" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>12</dim>
<dim>26</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="164">
<dim>-1</dim>
<dim>12</dim>
<dim>-1</dim>
<dim>26</dim>
</port>
</output>
</layer>
<layer id="118" name="self.bert.encoder.layer.1.attention.self.key.weight" type="Const" version="opset1">
<data element_type="f32" shape="312, 312" offset="41003480" size="389376" />
<output>
<port id="0" precision="FP32" names="self.bert.encoder.layer.1.attention.self.key.weight">
<dim>312</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="119" name="__module.bert.encoder.layer.1.attention.self.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>312</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="120" name="Constant_4222" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 312" offset="41392856" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="121" name="__module.bert.encoder.layer.1.attention.self.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="167,x.17">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="122" name="__module.bert.encoder.layer.1.attention.self/prim::ListConstruct/Concat_1" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="37934616" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="123" name="__module.bert.encoder.layer.1.attention.self/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>312</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="171,x.19">
<dim>-1</dim>
<dim>-1</dim>
<dim>12</dim>
<dim>26</dim>
</port>
</output>
</layer>
<layer id="124" name="Constant_403" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="37934648" size="32" />
<output>
<port id="0" precision="I64" names="172">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="125" name="__module.bert.encoder.layer.1.attention.self/aten::permute/Transpose_1" type="Transpose" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>12</dim>
<dim>26</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="173">
<dim>-1</dim>
<dim>12</dim>
<dim>-1</dim>
<dim>26</dim>
</port>
</output>
</layer>
<layer id="126" name="self.bert.encoder.layer.1.attention.self.value.weight" type="Const" version="opset1">
<data element_type="f32" shape="312, 312" offset="41394104" size="389376" />
<output>
<port id="0" precision="FP32" names="self.bert.encoder.layer.1.attention.self.value.weight">
<dim>312</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="127" name="__module.bert.encoder.layer.1.attention.self.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>312</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="128" name="Constant_4223" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 312" offset="41783480" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="129" name="__module.bert.encoder.layer.1.attention.self.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="176,x.21">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="130" name="__module.bert.encoder.layer.1.attention.self/prim::ListConstruct/Concat_2" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="37934616" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="131" name="__module.bert.encoder.layer.1.attention.self/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>312</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="180,x.23">
<dim>-1</dim>
<dim>-1</dim>
<dim>12</dim>
<dim>26</dim>
</port>
</output>
</layer>
<layer id="132" name="Constant_426" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="37934648" size="32" />
<output>
<port id="0" precision="I64" names="181">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="133" name="__module.bert.encoder.layer.1.attention.self/aten::permute/Transpose_2" type="Transpose" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>12</dim>
<dim>26</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="182">
<dim>-1</dim>
<dim>12</dim>
<dim>-1</dim>
<dim>26</dim>
</port>
</output>
</layer>
<layer id="134" name="__module.bert.encoder.layer.1.attention.self/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
<data causal="false" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>12</dim>
<dim>-1</dim>
<dim>26</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>12</dim>
<dim>-1</dim>
<dim>26</dim>
</port>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>12</dim>
<dim>-1</dim>
<dim>26</dim>
</port>
<port id="3" precision="FP32">
<dim>-1</dim>
<dim>1</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="4" precision="FP32" names="183,attn_output.5">
<dim>-1</dim>
<dim>12</dim>
<dim>-1</dim>
<dim>26</dim>
</port>
</output>
</layer>
<layer id="135" name="__module.bert.encoder.layer.1.attention.self/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
<data element_type="i32" shape="4" offset="38715952" size="16" />
<output>
<port id="0" precision="I32">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="136" name="__module.bert.encoder.layer.1.attention.self/aten::transpose/Transpose" type="Transpose" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>12</dim>
<dim>-1</dim>
<dim>26</dim>
</port>
<port id="1" precision="I32">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="184,attn_output.7">
<dim>-1</dim>
<dim>-1</dim>
<dim>12</dim>
<dim>26</dim>
</port>
</output>
</layer>
<layer id="137" name="Constant_4310" type="Const" version="opset1">
<data element_type="i64" shape="3" offset="38715968" size="24" />
<output>
<port id="0" precision="I64">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="138" name="__module.bert.encoder.layer.1.attention.self/aten::reshape/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>26</dim>
</port>
<port id="1" precision="I64">
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="186">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="139" name="self.bert.encoder.layer.1.attention.output.dense.weight" type="Const" version="opset1">
<data element_type="f32" shape="312, 312" offset="41784728" size="389376" />
<output>
<port id="0" precision="FP32" names="self.bert.encoder.layer.1.attention.output.dense.weight">
<dim>312</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="140" name="__module.bert.encoder.layer.1.attention.output.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>312</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="141" name="Constant_4224" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 312" offset="42174104" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="142" name="__module.bert.encoder.layer.1.attention.output.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="191,input.7">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="143" name="__module.bert.encoder.layer.1.attention.output/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="193">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="144" name="__module.bert.encoder.layer.1.attention.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
<data element_type="i32" shape="1" offset="37541492" size="4" />
<output>
<port id="0" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="145" name="__module.bert.encoder.layer.1.attention.output.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>312</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>312</dim>
</port>
</output>
</layer>
<layer id="146" name="Constant_4225" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 312" offset="42175352" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="147" name="__module.bert.encoder.layer.1.attention.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="148" name="Constant_4226" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 312" offset="42176600" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="149" name="__module.bert.encoder.layer.1.attention.output.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="197,input_tensor.3">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="150" name="self.bert.encoder.layer.1.intermediate.dense.weight" type="Const" version="opset1">
<data element_type="f32" shape="600, 312" offset="42177848" size="748800" />
<output>
<port id="0" precision="FP32" names="self.bert.encoder.layer.1.intermediate.dense.weight">
<dim>600</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="151" name="__module.bert.encoder.layer.1.intermediate.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>600</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>600</dim>
</port>
</output>
</layer>
<layer id="152" name="Constant_4227" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 600" offset="42926648" size="2400" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>600</dim>
</port>
</output>
</layer>
<layer id="153" name="__module.bert.encoder.layer.1.intermediate.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>600</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>600</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="201">
<dim>-1</dim>
<dim>-1</dim>
<dim>600</dim>
</port>
</output>
</layer>
<layer id="154" name="__module.bert.encoder.layer.1.intermediate.intermediate_act_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>600</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="202">
<dim>-1</dim>
<dim>-1</dim>
<dim>600</dim>
</port>
</output>
</layer>
<layer id="155" name="self.bert.encoder.layer.1.output.dense.weight" type="Const" version="opset1">
<data element_type="f32" shape="312, 600" offset="42929048" size="748800" />
<output>
<port id="0" precision="FP32" names="self.bert.encoder.layer.1.output.dense.weight">
<dim>312</dim>
<dim>600</dim>
</port>
</output>
</layer>
<layer id="156" name="__module.bert.encoder.layer.1.output.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>600</dim>
</port>
<port id="1" precision="FP32">
<dim>312</dim>
<dim>600</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="157" name="Constant_4228" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 312" offset="43677848" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="158" name="__module.bert.encoder.layer.1.output.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="207,input.9">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="159" name="__module.bert.encoder.layer.1.output/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="209">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="160" name="__module.bert.encoder.layer.1.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
<data element_type="i32" shape="1" offset="37541492" size="4" />
<output>
<port id="0" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="161" name="__module.bert.encoder.layer.1.output.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>312</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>312</dim>
</port>
</output>
</layer>
<layer id="162" name="Constant_4229" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 312" offset="43679096" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="163" name="__module.bert.encoder.layer.1.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="164" name="Constant_4230" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 312" offset="43680344" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="165" name="__module.bert.encoder.layer.1.output.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="213,hidden_states.13">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="166" name="self.bert.encoder.layer.2.attention.self.query.weight" type="Const" version="opset1">
<data element_type="f32" shape="312, 312" offset="43681592" size="389376" />
<output>
<port id="0" precision="FP32" names="self.bert.encoder.layer.2.attention.self.query.weight">
<dim>312</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="167" name="__module.bert.encoder.layer.2.attention.self.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>312</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="168" name="Constant_4231" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 312" offset="44070968" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="169" name="__module.bert.encoder.layer.2.attention.self.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="226,x.25">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="170" name="__module.bert.encoder.layer.2.attention.self/prim::ListConstruct/Concat" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="37934616" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="171" name="__module.bert.encoder.layer.2.attention.self/aten::view/Reshape" type="Reshape" version="opset1">
<data special_zero="true" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="230,x.27">
<dim>-1</dim>
<dim>-1</dim>
<dim>12</dim>
<dim>26</dim>
</port>
</output>
</layer>
<layer id="172" name="Constant_563" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="37934648" size="32" />
<output>
<port id="0" precision="I64" names="231">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="173" name="__module.bert.encoder.layer.2.attention.self/aten::permute/Transpose" type="Transpose" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>12</dim>
<dim>26</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="232">
<dim>-1</dim>
<dim>12</dim>
<dim>-1</dim>
<dim>26</dim>
</port>
</output>
</layer>
<layer id="174" name="self.bert.encoder.layer.2.attention.self.key.weight" type="Const" version="opset1">
<data element_type="f32" shape="312, 312" offset="44072216" size="389376" />
<output>
<port id="0" precision="FP32" names="self.bert.encoder.layer.2.attention.self.key.weight">
<dim>312</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="175" name="__module.bert.encoder.layer.2.attention.self.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>312</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="176" name="Constant_4232" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 312" offset="44461592" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="177" name="__module.bert.encoder.layer.2.attention.self.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="235,x.29">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="178" name="__module.bert.encoder.layer.2.attention.self/prim::ListConstruct/Concat_1" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="37934616" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="179" name="__module.bert.encoder.layer.2.attention.self/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>312</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="239,x.31">
<dim>-1</dim>
<dim>-1</dim>
<dim>12</dim>
<dim>26</dim>
</port>
</output>
</layer>
<layer id="180" name="Constant_586" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="37934648" size="32" />
<output>
<port id="0" precision="I64" names="240">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="181" name="__module.bert.encoder.layer.2.attention.self/aten::permute/Transpose_1" type="Transpose" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>12</dim>
<dim>26</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="241">
<dim>-1</dim>
<dim>12</dim>
<dim>-1</dim>
<dim>26</dim>
</port>
</output>
</layer>
<layer id="182" name="self.bert.encoder.layer.2.attention.self.value.weight" type="Const" version="opset1">
<data element_type="f32" shape="312, 312" offset="44462840" size="389376" />
<output>
<port id="0" precision="FP32" names="self.bert.encoder.layer.2.attention.self.value.weight">
<dim>312</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="183" name="__module.bert.encoder.layer.2.attention.self.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>312</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="184" name="Constant_4233" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 312" offset="44852216" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="185" name="__module.bert.encoder.layer.2.attention.self.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="244,x.33">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="186" name="__module.bert.encoder.layer.2.attention.self/prim::ListConstruct/Concat_2" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="37934616" size="32" />
<output>
<port id="0" precision="I64">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="187" name="__module.bert.encoder.layer.2.attention.self/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>312</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="248,x">
<dim>-1</dim>
<dim>-1</dim>
<dim>12</dim>
<dim>26</dim>
</port>
</output>
</layer>
<layer id="188" name="Constant_609" type="Const" version="opset1">
<data element_type="i64" shape="4" offset="37934648" size="32" />
<output>
<port id="0" precision="I64" names="249">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="189" name="__module.bert.encoder.layer.2.attention.self/aten::permute/Transpose_2" type="Transpose" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>12</dim>
<dim>26</dim>
</port>
<port id="1" precision="I64">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="250">
<dim>-1</dim>
<dim>12</dim>
<dim>-1</dim>
<dim>26</dim>
</port>
</output>
</layer>
<layer id="190" name="__module.bert.encoder.layer.2.attention.self/aten::scaled_dot_product_attention/ScaledDotProductAttention" type="ScaledDotProductAttention" version="opset13">
<data causal="false" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>12</dim>
<dim>-1</dim>
<dim>26</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>12</dim>
<dim>-1</dim>
<dim>26</dim>
</port>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>12</dim>
<dim>-1</dim>
<dim>26</dim>
</port>
<port id="3" precision="FP32">
<dim>-1</dim>
<dim>1</dim>
<dim>-1</dim>
<dim>-1</dim>
</port>
</input>
<output>
<port id="4" precision="FP32" names="251,attn_output.9">
<dim>-1</dim>
<dim>12</dim>
<dim>-1</dim>
<dim>26</dim>
</port>
</output>
</layer>
<layer id="191" name="__module.bert.encoder.layer.2.attention.self/aten::transpose/ScatterElementsUpdate" type="Const" version="opset1">
<data element_type="i32" shape="4" offset="38715952" size="16" />
<output>
<port id="0" precision="I32">
<dim>4</dim>
</port>
</output>
</layer>
<layer id="192" name="__module.bert.encoder.layer.2.attention.self/aten::transpose/Transpose" type="Transpose" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>12</dim>
<dim>-1</dim>
<dim>26</dim>
</port>
<port id="1" precision="I32">
<dim>4</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="252,attn_output">
<dim>-1</dim>
<dim>-1</dim>
<dim>12</dim>
<dim>26</dim>
</port>
</output>
</layer>
<layer id="193" name="Constant_4311" type="Const" version="opset1">
<data element_type="i64" shape="3" offset="38715968" size="24" />
<output>
<port id="0" precision="I64">
<dim>3</dim>
</port>
</output>
</layer>
<layer id="194" name="__module.bert.encoder.layer.2.attention.self/aten::reshape/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>26</dim>
</port>
<port id="1" precision="I64">
<dim>3</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="254">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="195" name="self.bert.encoder.layer.2.attention.output.dense.weight" type="Const" version="opset1">
<data element_type="f32" shape="312, 312" offset="44853464" size="389376" />
<output>
<port id="0" precision="FP32" names="self.bert.encoder.layer.2.attention.output.dense.weight">
<dim>312</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="196" name="__module.bert.encoder.layer.2.attention.output.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>312</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="197" name="Constant_4234" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 312" offset="45242840" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="198" name="__module.bert.encoder.layer.2.attention.output.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="259,input.11">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="199" name="__module.bert.encoder.layer.2.attention.output/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="261">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="200" name="__module.bert.encoder.layer.2.attention.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
<data element_type="i32" shape="1" offset="37541492" size="4" />
<output>
<port id="0" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="201" name="__module.bert.encoder.layer.2.attention.output.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>312</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>312</dim>
</port>
</output>
</layer>
<layer id="202" name="Constant_4235" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 312" offset="45244088" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="203" name="__module.bert.encoder.layer.2.attention.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="204" name="Constant_4236" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 312" offset="45245336" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="205" name="__module.bert.encoder.layer.2.attention.output.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="265,input_tensor">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="206" name="self.bert.encoder.layer.2.intermediate.dense.weight" type="Const" version="opset1">
<data element_type="f32" shape="600, 312" offset="45246584" size="748800" />
<output>
<port id="0" precision="FP32" names="self.bert.encoder.layer.2.intermediate.dense.weight">
<dim>600</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="207" name="__module.bert.encoder.layer.2.intermediate.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>600</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>600</dim>
</port>
</output>
</layer>
<layer id="208" name="Constant_4237" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 600" offset="45995384" size="2400" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>600</dim>
</port>
</output>
</layer>
<layer id="209" name="__module.bert.encoder.layer.2.intermediate.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>600</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>600</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="269">
<dim>-1</dim>
<dim>-1</dim>
<dim>600</dim>
</port>
</output>
</layer>
<layer id="210" name="__module.bert.encoder.layer.2.intermediate.intermediate_act_fn/aten::gelu/Gelu" type="Gelu" version="opset7">
<data approximation_mode="ERF" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>600</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="270">
<dim>-1</dim>
<dim>-1</dim>
<dim>600</dim>
</port>
</output>
</layer>
<layer id="211" name="self.bert.encoder.layer.2.output.dense.weight" type="Const" version="opset1">
<data element_type="f32" shape="312, 600" offset="45997784" size="748800" />
<output>
<port id="0" precision="FP32" names="self.bert.encoder.layer.2.output.dense.weight">
<dim>312</dim>
<dim>600</dim>
</port>
</output>
</layer>
<layer id="212" name="__module.bert.encoder.layer.2.output.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>600</dim>
</port>
<port id="1" precision="FP32">
<dim>312</dim>
<dim>600</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="213" name="Constant_4238" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 312" offset="46746584" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="214" name="__module.bert.encoder.layer.2.output.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="275,input.13">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="215" name="__module.bert.encoder.layer.2.output/aten::add/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
<port id="1" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="277">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="216" name="__module.bert.encoder.layer.2.output.LayerNorm/aten::layer_norm/Constant" type="Const" version="opset1">
<data element_type="i32" shape="1" offset="37541492" size="4" />
<output>
<port id="0" precision="I32">
<dim>1</dim>
</port>
</output>
</layer>
<layer id="217" name="__module.bert.encoder.layer.2.output.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>312</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>312</dim>
</port>
</output>
</layer>
<layer id="218" name="Constant_4239" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 312" offset="46747832" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="219" name="__module.bert.encoder.layer.2.output.LayerNorm/aten::layer_norm/Multiply" type="Multiply" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="220" name="Constant_4240" type="Const" version="opset1">
<data element_type="f32" shape="1, 1, 312" offset="46749080" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="221" name="__module.bert.encoder.layer.2.output.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="281,283,hidden_states">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="222" name="23" type="Const" version="opset1">
<data element_type="i64" shape="" offset="37541468" size="8" />
<output>
<port id="0" precision="I64" names="23" />
</output>
</layer>
<layer id="223" name="31" type="Const" version="opset1">
<data element_type="i64" shape="" offset="37541460" size="8" />
<output>
<port id="0" precision="I64" names="31" />
</output>
</layer>
<layer id="224" name="__module.bert.pooler/aten::select/Gather" type="Gather" version="opset8">
<data batch_dims="0" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>-1</dim>
<dim>312</dim>
</port>
<port id="1" precision="I64" />
<port id="2" precision="I64" />
</input>
<output>
<port id="3" precision="FP32" names="284">
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="225" name="self.bert.pooler.dense.weight" type="Const" version="opset1">
<data element_type="f32" shape="312, 312" offset="46750328" size="389376" />
<output>
<port id="0" precision="FP32" names="self.bert.pooler.dense.weight">
<dim>312</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="226" name="__module.bert.pooler.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>312</dim>
</port>
<port id="1" precision="FP32">
<dim>312</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="227" name="Constant_4241" type="Const" version="opset1">
<data element_type="f32" shape="1, 312" offset="47139704" size="1248" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="228" name="__module.bert.pooler.dense/aten::linear/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>312</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="287">
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="229" name="__module.bert.pooler.activation/aten::tanh/Tanh" type="Tanh" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="1" precision="FP32" names="288,input">
<dim>-1</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="230" name="self.classifier.weight" type="Const" version="opset1">
<data element_type="f32" shape="2, 312" offset="47140952" size="2496" />
<output>
<port id="0" precision="FP32" names="self.classifier.weight">
<dim>2</dim>
<dim>312</dim>
</port>
</output>
</layer>
<layer id="231" name="__module.classifier/aten::linear/MatMul" type="MatMul" version="opset1">
<data transpose_a="false" transpose_b="true" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>312</dim>
</port>
<port id="1" precision="FP32">
<dim>2</dim>
<dim>312</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>-1</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="232" name="Constant_4242" type="Const" version="opset1">
<data element_type="f32" shape="1, 2" offset="47143448" size="8" />
<output>
<port id="0" precision="FP32">
<dim>1</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="233" name="__module.classifier/aten::linear/Add" type="Add" version="opset1">
<data auto_broadcast="numpy" />
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>2</dim>
</port>
<port id="1" precision="FP32">
<dim>1</dim>
<dim>2</dim>
</port>
</input>
<output>
<port id="2" precision="FP32" names="logits">
<dim>-1</dim>
<dim>2</dim>
</port>
</output>
</layer>
<layer id="234" name="Result_1399" type="Result" version="opset1">
<input>
<port id="0" precision="FP32">
<dim>-1</dim>
<dim>2</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="8" to-port="0" />
<edge from-layer="1" from-port="0" to-layer="17" to-port="0" />
<edge from-layer="1" from-port="0" to-layer="61" to-port="0" />
<edge from-layer="2" from-port="0" to-layer="4" to-port="0" />
<edge from-layer="3" from-port="0" to-layer="6" to-port="0" />
<edge from-layer="4" from-port="1" to-layer="6" to-port="1" />
<edge from-layer="5" from-port="0" to-layer="6" to-port="2" />
<edge from-layer="6" from-port="3" to-layer="11" to-port="0" />
<edge from-layer="7" from-port="0" to-layer="10" to-port="0" />
<edge from-layer="8" from-port="1" to-layer="10" to-port="1" />
<edge from-layer="9" from-port="0" to-layer="10" to-port="2" />
<edge from-layer="10" from-port="3" to-layer="11" to-port="1" />
<edge from-layer="11" from-port="2" to-layer="28" to-port="0" />
<edge from-layer="12" from-port="0" to-layer="27" to-port="0" />
<edge from-layer="13" from-port="0" to-layer="24" to-port="0" />
<edge from-layer="14" from-port="0" to-layer="24" to-port="1" />
<edge from-layer="15" from-port="0" to-layer="22" to-port="0" />
<edge from-layer="16" from-port="0" to-layer="22" to-port="1" />
<edge from-layer="17" from-port="1" to-layer="64" to-port="0" />
<edge from-layer="17" from-port="1" to-layer="68" to-port="0" />
<edge from-layer="17" from-port="1" to-layer="20" to-port="0" />
<edge from-layer="18" from-port="0" to-layer="20" to-port="1" />
<edge from-layer="19" from-port="0" to-layer="20" to-port="2" />
<edge from-layer="20" from-port="3" to-layer="22" to-port="2" />
<edge from-layer="21" from-port="0" to-layer="22" to-port="3" />
<edge from-layer="22" from-port="4" to-layer="24" to-port="2" />
<edge from-layer="23" from-port="0" to-layer="24" to-port="3" />
<edge from-layer="24" from-port="4" to-layer="25" to-port="0" />
<edge from-layer="25" from-port="1" 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="28" to-port="1" />
<edge from-layer="28" from-port="2" to-layer="30" to-port="0" />
<edge from-layer="29" from-port="0" to-layer="30" to-port="1" />
<edge from-layer="30" from-port="2" to-layer="32" to-port="0" />
<edge from-layer="31" from-port="0" to-layer="32" to-port="1" />
<edge from-layer="32" from-port="2" to-layer="34" to-port="0" />
<edge from-layer="33" from-port="0" to-layer="34" to-port="1" />
<edge from-layer="34" from-port="2" to-layer="36" to-port="0" />
<edge from-layer="34" from-port="2" to-layer="87" to-port="1" />
<edge from-layer="34" from-port="2" to-layer="52" to-port="0" />
<edge from-layer="34" from-port="2" to-layer="44" 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="78" to-port="0" />
<edge from-layer="43" from-port="0" to-layer="44" to-port="1" />
<edge from-layer="44" from-port="2" to-layer="46" to-port="0" />
<edge from-layer="45" from-port="0" to-layer="46" to-port="1" />
<edge from-layer="46" from-port="2" to-layer="48" to-port="0" />
<edge from-layer="47" from-port="0" to-layer="48" to-port="1" />
<edge from-layer="48" from-port="2" to-layer="50" to-port="0" />
<edge from-layer="49" from-port="0" to-layer="50" to-port="1" />
<edge from-layer="50" from-port="2" to-layer="78" to-port="1" />
<edge from-layer="51" from-port="0" to-layer="52" to-port="1" />
<edge from-layer="52" from-port="2" to-layer="54" to-port="0" />
<edge from-layer="53" from-port="0" to-layer="54" to-port="1" />
<edge from-layer="54" from-port="2" to-layer="56" to-port="0" />
<edge from-layer="55" from-port="0" to-layer="56" to-port="1" />
<edge from-layer="56" from-port="2" to-layer="58" to-port="0" />
<edge from-layer="57" from-port="0" to-layer="58" to-port="1" />
<edge from-layer="58" from-port="2" to-layer="78" to-port="2" />
<edge from-layer="59" from-port="0" to-layer="74" to-port="0" />
<edge from-layer="60" from-port="0" to-layer="61" to-port="1" />
<edge from-layer="61" from-port="2" to-layer="70" to-port="0" />
<edge from-layer="62" from-port="0" to-layer="64" to-port="1" />
<edge from-layer="63" from-port="0" to-layer="64" to-port="2" />
<edge from-layer="64" from-port="3" to-layer="69" to-port="0" />
<edge from-layer="65" from-port="0" to-layer="69" to-port="1" />
<edge from-layer="66" from-port="0" to-layer="68" to-port="1" />
<edge from-layer="67" from-port="0" to-layer="68" to-port="2" />
<edge from-layer="68" from-port="3" to-layer="69" to-port="2" />
<edge from-layer="69" from-port="3" to-layer="70" to-port="1" />
<edge from-layer="70" from-port="2" to-layer="71" to-port="0" />
<edge from-layer="71" from-port="1" 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="74" to-port="1" />
<edge from-layer="74" from-port="2" to-layer="75" to-port="0" />
<edge from-layer="74" from-port="2" to-layer="77" to-port="2" />
<edge from-layer="75" from-port="1" to-layer="77" to-port="0" />
<edge from-layer="76" from-port="0" to-layer="77" to-port="1" />
<edge from-layer="77" from-port="3" to-layer="78" to-port="3" />
<edge from-layer="77" from-port="3" to-layer="190" to-port="3" />
<edge from-layer="77" from-port="3" to-layer="134" to-port="3" />
<edge from-layer="78" from-port="4" to-layer="80" to-port="0" />
<edge from-layer="79" from-port="0" to-layer="80" to-port="1" />
<edge from-layer="80" from-port="2" to-layer="82" to-port="0" />
<edge from-layer="81" from-port="0" to-layer="82" to-port="1" />
<edge from-layer="82" from-port="2" to-layer="84" to-port="0" />
<edge from-layer="83" from-port="0" to-layer="84" to-port="1" />
<edge from-layer="84" from-port="2" to-layer="86" to-port="0" />
<edge from-layer="85" from-port="0" to-layer="86" to-port="1" />
<edge from-layer="86" from-port="2" to-layer="87" to-port="0" />
<edge from-layer="87" from-port="2" to-layer="89" to-port="0" />
<edge from-layer="88" from-port="0" to-layer="89" to-port="1" />
<edge from-layer="89" from-port="2" to-layer="91" to-port="0" />
<edge from-layer="90" from-port="0" to-layer="91" to-port="1" />
<edge from-layer="91" from-port="2" to-layer="93" to-port="0" />
<edge from-layer="92" from-port="0" to-layer="93" to-port="1" />
<edge from-layer="93" from-port="2" to-layer="95" to-port="0" />
<edge from-layer="93" from-port="2" to-layer="103" to-port="1" />
<edge from-layer="94" from-port="0" to-layer="95" to-port="1" />
<edge from-layer="95" from-port="2" to-layer="97" to-port="0" />
<edge from-layer="96" from-port="0" to-layer="97" to-port="1" />
<edge from-layer="97" from-port="2" to-layer="98" to-port="0" />
<edge from-layer="98" from-port="1" to-layer="100" to-port="0" />
<edge from-layer="99" from-port="0" to-layer="100" to-port="1" />
<edge from-layer="100" from-port="2" to-layer="102" 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="103" to-port="0" />
<edge from-layer="103" from-port="2" to-layer="105" to-port="0" />
<edge from-layer="104" from-port="0" to-layer="105" to-port="1" />
<edge from-layer="105" from-port="2" to-layer="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="109" to-port="0" />
<edge from-layer="108" from-port="0" to-layer="109" to-port="1" />
<edge from-layer="109" from-port="2" to-layer="143" to-port="1" />
<edge from-layer="109" from-port="2" to-layer="127" to-port="0" />
<edge from-layer="109" from-port="2" to-layer="119" to-port="0" />
<edge from-layer="109" from-port="2" to-layer="111" to-port="0" />
<edge from-layer="110" from-port="0" to-layer="111" to-port="1" />
<edge from-layer="111" from-port="2" to-layer="113" to-port="0" />
<edge from-layer="112" from-port="0" to-layer="113" to-port="1" />
<edge from-layer="113" from-port="2" to-layer="115" to-port="0" />
<edge from-layer="114" from-port="0" to-layer="115" to-port="1" />
<edge from-layer="115" from-port="2" to-layer="117" to-port="0" />
<edge from-layer="116" from-port="0" to-layer="117" to-port="1" />
<edge from-layer="117" from-port="2" to-layer="134" to-port="0" />
<edge from-layer="118" from-port="0" to-layer="119" to-port="1" />
<edge from-layer="119" from-port="2" to-layer="121" to-port="0" />
<edge from-layer="120" from-port="0" to-layer="121" to-port="1" />
<edge from-layer="121" from-port="2" to-layer="123" to-port="0" />
<edge from-layer="122" from-port="0" to-layer="123" to-port="1" />
<edge from-layer="123" from-port="2" to-layer="125" to-port="0" />
<edge from-layer="124" from-port="0" to-layer="125" to-port="1" />
<edge from-layer="125" from-port="2" to-layer="134" to-port="1" />
<edge from-layer="126" from-port="0" to-layer="127" to-port="1" />
<edge from-layer="127" from-port="2" to-layer="129" to-port="0" />
<edge from-layer="128" from-port="0" to-layer="129" to-port="1" />
<edge from-layer="129" from-port="2" to-layer="131" to-port="0" />
<edge from-layer="130" from-port="0" to-layer="131" to-port="1" />
<edge from-layer="131" from-port="2" to-layer="133" to-port="0" />
<edge from-layer="132" from-port="0" to-layer="133" to-port="1" />
<edge from-layer="133" from-port="2" to-layer="134" to-port="2" />
<edge from-layer="134" from-port="4" 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="140" to-port="0" />
<edge from-layer="139" from-port="0" to-layer="140" to-port="1" />
<edge from-layer="140" from-port="2" to-layer="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="143" to-port="0" />
<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="147" to-port="0" />
<edge from-layer="146" from-port="0" to-layer="147" to-port="1" />
<edge from-layer="147" from-port="2" to-layer="149" to-port="0" />
<edge from-layer="148" from-port="0" to-layer="149" to-port="1" />
<edge from-layer="149" from-port="2" to-layer="151" to-port="0" />
<edge from-layer="149" from-port="2" to-layer="159" to-port="1" />
<edge from-layer="150" from-port="0" to-layer="151" to-port="1" />
<edge from-layer="151" from-port="2" to-layer="153" to-port="0" />
<edge from-layer="152" from-port="0" to-layer="153" to-port="1" />
<edge from-layer="153" from-port="2" to-layer="154" to-port="0" />
<edge from-layer="154" from-port="1" to-layer="156" to-port="0" />
<edge from-layer="155" from-port="0" to-layer="156" to-port="1" />
<edge from-layer="156" from-port="2" to-layer="158" to-port="0" />
<edge from-layer="157" from-port="0" to-layer="158" to-port="1" />
<edge from-layer="158" from-port="2" to-layer="159" to-port="0" />
<edge from-layer="159" from-port="2" to-layer="161" to-port="0" />
<edge from-layer="160" from-port="0" to-layer="161" to-port="1" />
<edge from-layer="161" from-port="2" to-layer="163" to-port="0" />
<edge from-layer="162" from-port="0" to-layer="163" to-port="1" />
<edge from-layer="163" from-port="2" to-layer="165" to-port="0" />
<edge from-layer="164" from-port="0" to-layer="165" to-port="1" />
<edge from-layer="165" from-port="2" to-layer="167" to-port="0" />
<edge from-layer="165" from-port="2" to-layer="183" to-port="0" />
<edge from-layer="165" from-port="2" to-layer="199" to-port="1" />
<edge from-layer="165" from-port="2" to-layer="175" to-port="0" />
<edge from-layer="166" from-port="0" to-layer="167" to-port="1" />
<edge from-layer="167" from-port="2" to-layer="169" to-port="0" />
<edge from-layer="168" from-port="0" to-layer="169" to-port="1" />
<edge from-layer="169" from-port="2" to-layer="171" to-port="0" />
<edge from-layer="170" from-port="0" 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="190" to-port="0" />
<edge from-layer="174" from-port="0" to-layer="175" to-port="1" />
<edge from-layer="175" from-port="2" to-layer="177" to-port="0" />
<edge from-layer="176" from-port="0" to-layer="177" to-port="1" />
<edge from-layer="177" from-port="2" to-layer="179" to-port="0" />
<edge from-layer="178" from-port="0" to-layer="179" to-port="1" />
<edge from-layer="179" from-port="2" to-layer="181" to-port="0" />
<edge from-layer="180" from-port="0" to-layer="181" to-port="1" />
<edge from-layer="181" from-port="2" to-layer="190" to-port="1" />
<edge from-layer="182" from-port="0" to-layer="183" to-port="1" />
<edge from-layer="183" from-port="2" to-layer="185" to-port="0" />
<edge from-layer="184" from-port="0" to-layer="185" to-port="1" />
<edge from-layer="185" from-port="2" to-layer="187" to-port="0" />
<edge from-layer="186" from-port="0" to-layer="187" to-port="1" />
<edge from-layer="187" from-port="2" to-layer="189" to-port="0" />
<edge from-layer="188" from-port="0" to-layer="189" to-port="1" />
<edge from-layer="189" from-port="2" to-layer="190" to-port="2" />
<edge from-layer="190" from-port="4" 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="198" to-port="0" />
<edge from-layer="197" from-port="0" to-layer="198" to-port="1" />
<edge from-layer="198" from-port="2" to-layer="199" to-port="0" />
<edge from-layer="199" from-port="2" to-layer="201" to-port="0" />
<edge from-layer="200" from-port="0" to-layer="201" to-port="1" />
<edge from-layer="201" from-port="2" to-layer="203" to-port="0" />
<edge from-layer="202" from-port="0" to-layer="203" to-port="1" />
<edge from-layer="203" from-port="2" to-layer="205" to-port="0" />
<edge from-layer="204" from-port="0" to-layer="205" to-port="1" />
<edge from-layer="205" from-port="2" to-layer="207" to-port="0" />
<edge from-layer="205" from-port="2" to-layer="215" to-port="1" />
<edge from-layer="206" from-port="0" to-layer="207" to-port="1" />
<edge from-layer="207" from-port="2" to-layer="209" to-port="0" />
<edge from-layer="208" from-port="0" to-layer="209" to-port="1" />
<edge from-layer="209" from-port="2" to-layer="210" to-port="0" />
<edge from-layer="210" from-port="1" to-layer="212" to-port="0" />
<edge from-layer="211" from-port="0" to-layer="212" to-port="1" />
<edge from-layer="212" from-port="2" to-layer="214" to-port="0" />
<edge from-layer="213" from-port="0" to-layer="214" to-port="1" />
<edge from-layer="214" from-port="2" to-layer="215" to-port="0" />
<edge from-layer="215" from-port="2" to-layer="217" to-port="0" />
<edge from-layer="216" from-port="0" to-layer="217" to-port="1" />
<edge from-layer="217" from-port="2" to-layer="219" to-port="0" />
<edge from-layer="218" from-port="0" to-layer="219" to-port="1" />
<edge from-layer="219" from-port="2" to-layer="221" to-port="0" />
<edge from-layer="220" from-port="0" to-layer="221" to-port="1" />
<edge from-layer="221" from-port="2" to-layer="224" to-port="0" />
<edge from-layer="222" from-port="0" to-layer="224" to-port="1" />
<edge from-layer="223" from-port="0" to-layer="224" to-port="2" />
<edge from-layer="224" from-port="3" to-layer="226" to-port="0" />
<edge from-layer="225" from-port="0" to-layer="226" to-port="1" />
<edge from-layer="226" from-port="2" 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="229" to-port="0" />
<edge from-layer="229" from-port="1" to-layer="231" to-port="0" />
<edge from-layer="230" from-port="0" to-layer="231" to-port="1" />
<edge from-layer="231" from-port="2" to-layer="233" to-port="0" />
<edge from-layer="232" from-port="0" to-layer="233" to-port="1" />
<edge from-layer="233" from-port="2" to-layer="234" to-port="0" />
</edges>
<rt_info>
<Runtime_version value="2024.2.0-15519-5c0f38f83f6-releases/2024/2" />
<conversion_parameters>
<framework value="pytorch" />
<is_python_object value="True" />
</conversion_parameters>
<optimum>
<optimum_intel_version value="1.18.1" />
<optimum_version value="1.21.2" />
<pytorch_version value="2.3.1" />
<transformers_version value="4.42.4" />
</optimum>
</rt_info>
</net>