openvino/openvino_model.xml
| 1 | <?xml version="1.0"?>
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| 2 | <net name="Model1536" 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.embeddings.word_embeddings.weight" type="Const" version="opset1">
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| 23 | <data element_type="f32" shape="30527, 768" offset="0" size="93778944" />
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| 24 | <output>
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| 25 | <port id="0" precision="FP32" names="self.embeddings.word_embeddings.weight">
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| 26 | <dim>30527</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.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.embeddings.word_embeddings/aten::embedding/Constant" type="Const" version="opset1">
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| 47 | <data element_type="i32" shape="" offset="93778944" 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.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>30527</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="56,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.embeddings.position_embeddings.weight" type="Const" version="opset1">
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| 74 | <data element_type="f32" shape="514, 768" offset="93778948" size="1579008" />
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| 75 | <output>
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| 76 | <port id="0" precision="FP32" names="self.embeddings.position_embeddings.weight">
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| 77 | <dim>514</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="Constant_530427" type="Const" version="opset1">
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| 83 | <data element_type="i64" shape="1, 1" offset="95357956" size="8" />
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| 84 | <output>
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| 85 | <port id="0" precision="I64">
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| 86 | <dim>1</dim>
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| 87 | <dim>1</dim>
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| 88 | </port>
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| 89 | </output>
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| 90 | </layer>
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| 91 | <layer id="8" name="__module.embeddings/aten::ne/NotEqual" type="NotEqual" version="opset1">
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| 92 | <data auto_broadcast="numpy" />
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| 93 | <input>
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| 94 | <port id="0" precision="I64">
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| 95 | <dim>-1</dim>
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| 96 | <dim>-1</dim>
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| 97 | </port>
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| 98 | <port id="1" precision="I64">
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| 99 | <dim>1</dim>
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| 100 | <dim>1</dim>
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| 101 | </port>
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| 102 | </input>
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| 103 | <output>
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| 104 | <port id="2" precision="BOOL" names="48">
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| 105 | <dim>-1</dim>
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| 106 | <dim>-1</dim>
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| 107 | </port>
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| 108 | </output>
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| 109 | </layer>
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| 110 | <layer id="9" name="__module.embeddings/aten::to/Convert" type="Convert" version="opset1">
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| 111 | <data destination_type="i32" />
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| 112 | <input>
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| 113 | <port id="0" precision="BOOL">
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| 114 | <dim>-1</dim>
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| 115 | <dim>-1</dim>
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| 116 | </port>
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| 117 | </input>
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| 118 | <output>
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| 119 | <port id="1" precision="I32" names="49,mask">
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| 120 | <dim>-1</dim>
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| 121 | <dim>-1</dim>
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| 122 | </port>
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| 123 | </output>
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| 124 | </layer>
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| 125 | <layer id="10" name="43" type="Const" version="opset1">
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| 126 | <data element_type="i64" shape="" offset="95357956" size="8" />
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| 127 | <output>
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| 128 | <port id="0" precision="I64" names="43" />
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| 129 | </output>
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| 130 | </layer>
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| 131 | <layer id="11" name="__module.embeddings/aten::cumsum/CumSum" type="CumSum" version="opset3">
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| 132 | <data exclusive="false" reverse="false" />
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| 133 | <input>
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| 134 | <port id="0" precision="I32">
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| 135 | <dim>-1</dim>
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| 136 | <dim>-1</dim>
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| 138 | <port id="1" precision="I64" />
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| 139 | </input>
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| 140 | <output>
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| 141 | <port id="2" precision="I32" names="50,51">
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| 142 | <dim>-1</dim>
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| 143 | <dim>-1</dim>
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| 145 | </output>
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| 146 | </layer>
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| 147 | <layer id="12" name="__module.embeddings/aten::mul/Multiply" type="Multiply" version="opset1">
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| 148 | <data auto_broadcast="numpy" />
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| 149 | <input>
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| 150 | <port id="0" precision="I32">
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| 151 | <dim>-1</dim>
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| 152 | <dim>-1</dim>
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| 154 | <port id="1" precision="I32">
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| 155 | <dim>-1</dim>
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| 156 | <dim>-1</dim>
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| 158 | </input>
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| 159 | <output>
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| 160 | <port id="2" precision="I32" names="52,incremental_indices">
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| 161 | <dim>-1</dim>
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| 162 | <dim>-1</dim>
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| 164 | </output>
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| 165 | </layer>
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| 166 | <layer id="13" name="__module.embeddings/aten::to/Convert_1" type="Convert" version="opset1">
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| 167 | <data destination_type="i64" />
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| 168 | <input>
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| 169 | <port id="0" precision="I32">
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| 170 | <dim>-1</dim>
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| 171 | <dim>-1</dim>
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| 172 | </port>
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| 173 | </input>
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| 174 | <output>
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| 175 | <port id="1" precision="I64" names="53">
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| 176 | <dim>-1</dim>
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| 177 | <dim>-1</dim>
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| 179 | </output>
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| 180 | </layer>
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| 181 | <layer id="14" name="Constant_530428" type="Const" version="opset1">
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| 182 | <data element_type="i64" shape="1, 1" offset="95357956" size="8" />
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| 183 | <output>
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| 184 | <port id="0" precision="I64">
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| 185 | <dim>1</dim>
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| 186 | <dim>1</dim>
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| 188 | </output>
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| 189 | </layer>
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| 190 | <layer id="15" name="__module.embeddings/aten::add/Add" type="Add" version="opset1">
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| 191 | <data auto_broadcast="numpy" />
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| 192 | <input>
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| 193 | <port id="0" precision="I64">
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| 194 | <dim>-1</dim>
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| 195 | <dim>-1</dim>
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| 197 | <port id="1" precision="I64">
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| 198 | <dim>1</dim>
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| 199 | <dim>1</dim>
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| 201 | </input>
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| 202 | <output>
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| 203 | <port id="2" precision="I64" names="54">
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| 204 | <dim>-1</dim>
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| 205 | <dim>-1</dim>
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| 207 | </output>
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| 208 | </layer>
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| 209 | <layer id="16" name="__module.embeddings.position_embeddings/aten::embedding/Convert" type="Convert" version="opset1">
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| 210 | <data destination_type="i32" />
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| 211 | <input>
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| 212 | <port id="0" precision="I64">
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| 213 | <dim>-1</dim>
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| 214 | <dim>-1</dim>
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| 216 | </input>
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| 217 | <output>
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| 218 | <port id="1" precision="I32">
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| 219 | <dim>-1</dim>
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| 220 | <dim>-1</dim>
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| 224 | <layer id="17" name="__module.embeddings.position_embeddings/aten::embedding/Constant" type="Const" version="opset1">
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| 225 | <data element_type="i32" shape="" offset="93778944" size="4" />
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| 226 | <output>
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| 227 | <port id="0" precision="I32" />
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| 228 | </output>
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| 229 | </layer>
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| 230 | <layer id="18" name="__module.embeddings.position_embeddings/aten::embedding/Gather" type="Gather" version="opset8">
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| 231 | <data batch_dims="0" />
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| 232 | <input>
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| 233 | <port id="0" precision="FP32">
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| 234 | <dim>514</dim>
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| 238 | <dim>-1</dim>
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| 242 | </input>
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| 244 | <port id="3" precision="FP32" names="58,position_embeddings.1">
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| 245 | <dim>-1</dim>
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| 246 | <dim>-1</dim>
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| 247 | <dim>768</dim>
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| 251 | <layer id="19" name="__module.embeddings/aten::add/Add_1" type="Add" version="opset1">
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| 252 | <data auto_broadcast="numpy" />
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| 253 | <input>
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| 254 | <port id="0" 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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| 260 | <dim>-1</dim>
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| 262 | <dim>768</dim>
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| 274 | <data element_type="i32" shape="1" offset="95357964" size="4" />
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| 276 | <port id="0" precision="I32">
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| 277 | <dim>1</dim>
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| 281 | <layer id="21" name="__module.embeddings.LayerNorm/aten::layer_norm/MVN" type="MVN" version="opset6">
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| 282 | <data eps="9.9999997473787516e-06" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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| 283 | <input>
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| 284 | <port id="0" precision="FP32">
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| 285 | <dim>-1</dim>
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| 286 | <dim>-1</dim>
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| 294 | <port id="2" precision="FP32">
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| 310 | </layer>
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| 311 | <layer id="23" name="__module.embeddings.LayerNorm/aten::layer_norm/Multiply_1" type="Multiply" version="opset1">
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| 312 | <data auto_broadcast="numpy" />
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| 313 | <input>
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| 314 | <port id="0" precision="FP32">
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| 315 | <dim>-1</dim>
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| 343 | <layer id="25" name="__module.embeddings.LayerNorm/aten::layer_norm/Add" type="Add" version="opset1">
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| 344 | <data auto_broadcast="numpy" />
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| 345 | <input>
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| 347 | <dim>-1</dim>
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| 367 | <output>
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| 369 | <dim>768</dim>
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| 370 | <dim>768</dim>
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| 375 | <data transpose_a="false" transpose_b="true" />
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| 383 | <dim>768</dim>
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| 464 | <layer id="33" name="__module.encoder.layer.0.attention.attn/aten::permute/Transpose" type="Transpose" version="opset1">
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| 465 | <input>
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| 466 | <port id="0" precision="FP32">
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| 14198 | <edge from-layer="828" from-port="2" to-layer="830" to-port="0" />
|
| 14199 | <edge from-layer="829" from-port="0" to-layer="830" to-port="1" />
|
| 14200 | <edge from-layer="830" from-port="2" to-layer="832" to-port="0" />
|
| 14201 | <edge from-layer="831" from-port="0" to-layer="832" to-port="1" />
|
| 14202 | <edge from-layer="832" from-port="2" to-layer="833" to-port="0" />
|
| 14203 | </edges>
|
| 14204 | <rt_info>
|
| 14205 | <Runtime_version value="2024.4.1-16618-643f23d1318-releases/2024/4" />
|
| 14206 | <conversion_parameters>
|
| 14207 | <framework value="pytorch" />
|
| 14208 | <is_python_object value="True" />
|
| 14209 | </conversion_parameters>
|
| 14210 | <optimum>
|
| 14211 | <optimum_intel_version value="1.20.0.dev0+b31524c" />
|
| 14212 | <optimum_version value="1.23.0" />
|
| 14213 | <pytorch_version value="2.5.0.dev20240807+cu121" />
|
| 14214 | <transformers_version value="4.43.4" />
|
| 14215 | </optimum>
|
| 14216 | </rt_info>
|
| 14217 | </net>
|
| 14218 | |