openvino/openvino_model.xml
| 1 | <?xml version="1.0"?>
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| 2 | <net name="Model0" version="11">
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| 3 | <layers>
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| 4 | <layer id="1" name="input_ids" type="Parameter" version="opset1">
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| 5 | <data shape="?,?" element_type="i64" />
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| 6 | <output>
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| 7 | <port id="0" precision="I64" names="input_ids">
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| 8 | <dim>-1</dim>
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| 9 | <dim>-1</dim>
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| 10 | </port>
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| 11 | </output>
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| 12 | </layer>
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| 13 | <layer id="0" name="attention_mask" type="Parameter" version="opset1">
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| 14 | <data shape="?,?" element_type="i64" />
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| 15 | <output>
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| 16 | <port id="0" precision="I64" names="attention_mask">
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| 17 | <dim>-1</dim>
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| 18 | <dim>-1</dim>
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| 19 | </port>
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| 20 | </output>
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| 21 | </layer>
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| 22 | <layer id="2" name="self.roberta.embeddings.word_embeddings.weight" type="Const" version="opset1">
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| 23 | <data element_type="f32" shape="50265, 768" offset="0" size="154414080" />
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| 24 | <output>
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| 25 | <port id="0" precision="FP32" names="self.roberta.embeddings.word_embeddings.weight">
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| 26 | <dim>50265</dim>
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| 27 | <dim>768</dim>
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| 28 | </port>
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| 29 | </output>
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| 30 | </layer>
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| 31 | <layer id="3" name="__module.roberta.embeddings.word_embeddings/aten::embedding/Convert" type="Convert" version="opset1">
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| 32 | <data destination_type="i32" />
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| 33 | <input>
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| 34 | <port id="0" precision="I64">
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| 35 | <dim>-1</dim>
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| 36 | <dim>-1</dim>
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| 37 | </port>
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| 38 | </input>
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| 39 | <output>
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| 40 | <port id="1" precision="I32">
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| 41 | <dim>-1</dim>
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| 42 | <dim>-1</dim>
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| 43 | </port>
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| 44 | </output>
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| 45 | </layer>
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| 46 | <layer id="4" name="__module.roberta.embeddings.word_embeddings/aten::embedding/Constant" type="Const" version="opset1">
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| 47 | <data element_type="i32" shape="" offset="154414080" size="4" />
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| 48 | <output>
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| 49 | <port id="0" precision="I32" />
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| 50 | </output>
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| 51 | </layer>
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| 52 | <layer id="5" name="__module.roberta.embeddings.word_embeddings/aten::embedding/Gather" type="Gather" version="opset8">
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| 53 | <data batch_dims="0" />
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| 54 | <input>
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| 55 | <port id="0" precision="FP32">
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| 56 | <dim>50265</dim>
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| 57 | <dim>768</dim>
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| 58 | </port>
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| 59 | <port id="1" precision="I32">
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| 60 | <dim>-1</dim>
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| 61 | <dim>-1</dim>
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| 62 | </port>
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| 63 | <port id="2" precision="I32" />
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| 64 | </input>
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| 65 | <output>
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| 66 | <port id="3" precision="FP32" names="54,inputs_embeds">
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| 67 | <dim>-1</dim>
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| 68 | <dim>-1</dim>
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| 69 | <dim>768</dim>
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| 70 | </port>
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| 71 | </output>
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| 72 | </layer>
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| 73 | <layer id="6" name="self.roberta.embeddings.token_type_embeddings.weight" type="Const" version="opset1">
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| 74 | <data element_type="f32" shape="1, 768" offset="154414084" size="3072" />
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| 75 | <output>
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| 76 | <port id="0" precision="FP32" names="self.roberta.embeddings.token_type_embeddings.weight">
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| 77 | <dim>1</dim>
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| 78 | <dim>768</dim>
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| 79 | </port>
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| 80 | </output>
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| 81 | </layer>
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| 82 | <layer id="7" name="__module.roberta/aten::slice/Slice" type="Const" version="opset1">
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| 83 | <data element_type="i64" shape="1, 514" offset="154417156" size="4112" />
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| 84 | <output>
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| 85 | <port id="0" precision="I64" names="37">
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| 86 | <dim>1</dim>
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| 87 | <dim>514</dim>
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| 89 | </output>
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| 90 | </layer>
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| 91 | <layer id="8" name="__module.roberta/aten::slice/Reshape" type="Const" version="opset1">
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| 92 | <data element_type="i64" shape="1" offset="154421268" size="8" />
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| 93 | <output>
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| 94 | <port id="0" precision="I64">
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| 95 | <dim>1</dim>
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| 96 | </port>
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| 97 | </output>
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| 98 | </layer>
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| 99 | <layer id="9" name="__module.roberta/aten::size/ShapeOf_1" type="ShapeOf" version="opset3">
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| 100 | <data output_type="i64" />
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| 101 | <input>
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| 102 | <port id="0" precision="I64">
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| 103 | <dim>-1</dim>
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| 104 | <dim>-1</dim>
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| 106 | </input>
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| 107 | <output>
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| 108 | <port id="1" precision="I64" names="39">
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| 109 | <dim>2</dim>
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| 110 | </port>
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| 111 | </output>
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| 112 | </layer>
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| 113 | <layer id="10" name="Constant_5485" type="Const" version="opset1">
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| 114 | <data element_type="i64" shape="1" offset="154421276" size="8" />
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| 115 | <output>
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| 116 | <port id="0" precision="I64">
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| 117 | <dim>1</dim>
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| 121 | <layer id="11" name="Constant_5486" type="Const" version="opset1">
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| 122 | <data element_type="i64" shape="" offset="154421268" size="8" />
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| 123 | <output>
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| 124 | <port id="0" precision="I64" />
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| 125 | </output>
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| 126 | </layer>
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| 127 | <layer id="12" name="Gather_5487" type="Gather" version="opset8">
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| 128 | <data batch_dims="0" />
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| 129 | <input>
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| 130 | <port id="0" precision="I64">
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| 131 | <dim>2</dim>
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| 133 | <port id="1" precision="I64">
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| 137 | </input>
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| 138 | <output>
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| 139 | <port id="3" precision="I64" names="36,67">
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| 140 | <dim>1</dim>
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| 142 | </output>
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| 143 | </layer>
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| 144 | <layer id="13" name="__module.roberta/aten::slice/Reshape_2" type="Const" version="opset1">
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| 145 | <data element_type="i64" shape="1" offset="154421276" size="8" />
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| 146 | <output>
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| 147 | <port id="0" precision="I64">
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| 148 | <dim>1</dim>
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| 149 | </port>
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| 150 | </output>
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| 151 | </layer>
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| 152 | <layer id="14" name="__module.roberta/aten::slice/Reshape_3" type="Const" version="opset1">
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| 153 | <data element_type="i64" shape="1" offset="154421276" size="8" />
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| 154 | <output>
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| 155 | <port id="0" precision="I64">
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| 156 | <dim>1</dim>
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| 157 | </port>
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| 158 | </output>
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| 159 | </layer>
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| 160 | <layer id="15" name="__module.roberta/aten::slice/Slice_1" type="Slice" version="opset8">
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| 161 | <input>
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| 162 | <port id="0" precision="I64">
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| 163 | <dim>1</dim>
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| 164 | <dim>514</dim>
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| 165 | </port>
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| 166 | <port id="1" precision="I64">
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| 167 | <dim>1</dim>
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| 168 | </port>
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| 169 | <port id="2" precision="I64">
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| 170 | <dim>1</dim>
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| 171 | </port>
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| 172 | <port id="3" precision="I64">
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| 173 | <dim>1</dim>
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| 174 | </port>
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| 175 | <port id="4" precision="I64">
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| 176 | <dim>1</dim>
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| 177 | </port>
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| 178 | </input>
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| 179 | <output>
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| 180 | <port id="5" precision="I64" names="38,buffered_token_type_ids">
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| 181 | <dim>1</dim>
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| 182 | <dim>-1</dim>
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| 184 | </output>
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| 185 | </layer>
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| 186 | <layer id="16" name="__module.roberta/aten::expand/Broadcast" type="Broadcast" version="opset3">
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| 187 | <data mode="bidirectional" />
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| 188 | <input>
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| 189 | <port id="0" precision="I64">
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| 190 | <dim>1</dim>
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| 191 | <dim>-1</dim>
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| 193 | <port id="1" precision="I64">
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| 194 | <dim>2</dim>
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| 196 | </input>
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| 197 | <output>
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| 198 | <port id="2" precision="I64" names="40">
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| 199 | <dim>-1</dim>
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| 200 | <dim>-1</dim>
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| 202 | </output>
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| 203 | </layer>
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| 204 | <layer id="17" name="__module.roberta.embeddings.token_type_embeddings/aten::embedding/Convert" type="Convert" version="opset1">
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| 205 | <data destination_type="i32" />
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| 206 | <input>
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| 207 | <port id="0" precision="I64">
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| 208 | <dim>-1</dim>
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| 209 | <dim>-1</dim>
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| 211 | </input>
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| 212 | <output>
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| 213 | <port id="1" precision="I32">
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| 214 | <dim>-1</dim>
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| 215 | <dim>-1</dim>
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| 218 | </layer>
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| 219 | <layer id="18" name="__module.roberta.embeddings.token_type_embeddings/aten::embedding/Constant" type="Const" version="opset1">
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| 220 | <data element_type="i32" shape="" offset="154414080" size="4" />
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| 221 | <output>
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| 222 | <port id="0" precision="I32" />
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| 223 | </output>
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| 224 | </layer>
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| 225 | <layer id="19" name="__module.roberta.embeddings.token_type_embeddings/aten::embedding/Gather" type="Gather" version="opset8">
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| 226 | <data batch_dims="0" />
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| 227 | <input>
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| 228 | <port id="0" precision="FP32">
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| 229 | <dim>1</dim>
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| 232 | <port id="1" precision="I32">
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| 233 | <dim>-1</dim>
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| 237 | </input>
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| 238 | <output>
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| 239 | <port id="3" precision="FP32" names="56,token_type_embeddings.1">
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| 240 | <dim>-1</dim>
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| 241 | <dim>-1</dim>
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| 242 | <dim>768</dim>
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| 243 | </port>
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| 244 | </output>
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| 245 | </layer>
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| 246 | <layer id="20" name="__module.roberta.embeddings/aten::add/Add" type="Add" version="opset1">
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| 247 | <data auto_broadcast="numpy" />
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| 248 | <input>
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| 249 | <port id="0" precision="FP32">
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| 250 | <dim>-1</dim>
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| 251 | <dim>-1</dim>
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| 252 | <dim>768</dim>
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| 254 | <port id="1" precision="FP32">
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| 255 | <dim>-1</dim>
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| 256 | <dim>-1</dim>
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| 257 | <dim>768</dim>
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| 263 | <dim>-1</dim>
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| 264 | <dim>768</dim>
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| 266 | </output>
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| 267 | </layer>
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| 268 | <layer id="21" name="self.roberta.embeddings.position_embeddings.weight" type="Const" version="opset1">
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| 269 | <data element_type="f32" shape="514, 768" offset="154421284" size="1579008" />
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| 270 | <output>
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| 271 | <port id="0" precision="FP32" names="self.roberta.embeddings.position_embeddings.weight">
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| 272 | <dim>514</dim>
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| 273 | <dim>768</dim>
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| 276 | </layer>
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| 277 | <layer id="22" name="Constant_5356" type="Const" version="opset1">
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| 278 | <data element_type="i64" shape="1, 1" offset="154421276" size="8" />
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| 279 | <output>
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| 280 | <port id="0" precision="I64">
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| 281 | <dim>1</dim>
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| 282 | <dim>1</dim>
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| 283 | </port>
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| 284 | </output>
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| 285 | </layer>
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| 286 | <layer id="23" name="__module.roberta.embeddings/aten::ne/NotEqual" type="NotEqual" version="opset1">
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| 287 | <data auto_broadcast="numpy" />
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| 288 | <input>
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| 289 | <port id="0" precision="I64">
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| 290 | <dim>-1</dim>
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| 293 | <port id="1" precision="I64">
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| 294 | <dim>1</dim>
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| 298 | <output>
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| 299 | <port id="2" precision="BOOL" names="45">
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| 300 | <dim>-1</dim>
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| 301 | <dim>-1</dim>
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| 302 | </port>
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| 303 | </output>
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| 304 | </layer>
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| 305 | <layer id="24" name="__module.roberta.embeddings/aten::to/Convert" type="Convert" version="opset1">
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| 306 | <data destination_type="i32" />
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| 307 | <input>
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| 308 | <port id="0" precision="BOOL">
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| 309 | <dim>-1</dim>
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| 310 | <dim>-1</dim>
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| 312 | </input>
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| 313 | <output>
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| 314 | <port id="1" precision="I32" names="46,mask">
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| 315 | <dim>-1</dim>
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| 316 | <dim>-1</dim>
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| 320 | <layer id="25" name="29" type="Const" version="opset1">
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| 321 | <data element_type="i64" shape="" offset="154421276" size="8" />
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| 322 | <output>
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| 323 | <port id="0" precision="I64" names="29" />
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| 324 | </output>
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| 325 | </layer>
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| 326 | <layer id="26" name="__module.roberta.embeddings/aten::cumsum/CumSum" type="CumSum" version="opset3">
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| 327 | <data exclusive="false" reverse="false" />
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| 328 | <input>
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| 329 | <port id="0" precision="I32">
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| 330 | <dim>-1</dim>
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| 337 | <dim>-1</dim>
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| 340 | </output>
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| 341 | </layer>
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| 342 | <layer id="27" name="__module.roberta.embeddings/aten::mul/Multiply" type="Multiply" version="opset1">
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| 343 | <data auto_broadcast="numpy" />
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| 344 | <input>
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| 345 | <port id="0" precision="I32">
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| 346 | <dim>-1</dim>
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| 350 | <dim>-1</dim>
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| 356 | <dim>-1</dim>
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| 357 | <dim>-1</dim>
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| 360 | </layer>
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| 361 | <layer id="28" name="__module.roberta.embeddings/aten::to/Convert_1" type="Convert" version="opset1">
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| 362 | <data destination_type="i64" />
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| 363 | <input>
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| 364 | <port id="0" precision="I32">
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| 365 | <dim>-1</dim>
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| 366 | <dim>-1</dim>
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| 370 | <port id="1" precision="I64" names="51">
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| 371 | <dim>-1</dim>
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| 376 | <layer id="29" name="Constant_5357" type="Const" version="opset1">
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| 377 | <data element_type="i64" shape="1, 1" offset="154421276" size="8" />
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| 378 | <output>
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| 379 | <port id="0" precision="I64">
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| 380 | <dim>1</dim>
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| 384 | </layer>
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| 385 | <layer id="30" name="__module.roberta.embeddings/aten::add/Add_2" type="Add" version="opset1">
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| 386 | <data auto_broadcast="numpy" />
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| 387 | <input>
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| 388 | <port id="0" precision="I64">
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| 389 | <dim>-1</dim>
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| 398 | <port id="2" precision="I64" names="52">
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| 399 | <dim>-1</dim>
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| 404 | <layer id="31" name="__module.roberta.embeddings.position_embeddings/aten::embedding/Convert" type="Convert" version="opset1">
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| 405 | <data destination_type="i32" />
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| 406 | <input>
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| 407 | <port id="0" precision="I64">
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| 408 | <dim>-1</dim>
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| 409 | <dim>-1</dim>
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| 419 | <layer id="32" name="__module.roberta.embeddings.position_embeddings/aten::embedding/Constant" type="Const" version="opset1">
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| 420 | <data element_type="i32" shape="" offset="154414080" size="4" />
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| 421 | <output>
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| 422 | <port id="0" precision="I32" />
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| 425 | <layer id="33" name="__module.roberta.embeddings.position_embeddings/aten::embedding/Gather" type="Gather" version="opset8">
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| 426 | <data batch_dims="0" />
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| 427 | <input>
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| 428 | <port id="0" precision="FP32">
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| 429 | <dim>514</dim>
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| 439 | <port id="3" precision="FP32" names="59,position_embeddings.1">
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| 440 | <dim>-1</dim>
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| 442 | <dim>768</dim>
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| 444 | </output>
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| 445 | </layer>
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| 446 | <layer id="34" name="__module.roberta.embeddings/aten::add_/Add" type="Add" version="opset1">
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| 447 | <data auto_broadcast="numpy" />
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| 448 | <input>
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| 449 | <port id="0" precision="FP32">
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| 450 | <dim>-1</dim>
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| 452 | <dim>768</dim>
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| 454 | <port id="1" precision="FP32">
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| 467 | </layer>
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| 468 | <layer id="35" name="__module.roberta.embeddings.LayerNorm/aten::layer_norm/Multiply" type="Const" version="opset1">
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| 469 | <data element_type="i32" shape="1" offset="156000292" size="4" />
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| 471 | <port id="0" precision="I32">
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| 472 | <dim>1</dim>
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| 474 | </output>
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| 6781 | </edges>
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| 6782 | <rt_info>
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| 6783 | <Runtime_version value="2024.4.1-16618-643f23d1318-releases/2024/4" />
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| 6784 | <conversion_parameters>
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| 6785 | <framework value="pytorch" />
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| 6786 | <is_python_object value="True" />
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| 6787 | </conversion_parameters>
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| 6788 | <optimum>
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| 6789 | <optimum_intel_version value="1.20.1" />
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| 6790 | <optimum_version value="1.24.0" />
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| 6791 | <pytorch_version value="2.6.0+cu124" />
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| 6792 | <transformers_version value="4.52.0.dev0" />
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| 6793 | </optimum>
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| 6794 | </rt_info>
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| 6795 | </net>
|
| 6796 | |