openvino/openvino_model.xml
| 1 | <?xml version="1.0"?>
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| 2 | <net name="Model2221" 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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| 12 | </layer>
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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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| 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="250002, 384" offset="0" size="384003072" />
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| 24 | <output>
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| 26 | <dim>250002</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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| 39 | <output>
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| 41 | <dim>-1</dim>
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| 42 | <dim>-1</dim>
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| 48 | <output>
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| 49 | <port id="0" precision="I32" />
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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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| 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>384</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, 384" offset="384003076" size="1536" />
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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>384</dim>
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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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| 84 | <output>
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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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| 100 | <data output_type="i64" />
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| 101 | <input>
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| 115 | <output>
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| 127 | <layer id="12" name="Gather_2668670" type="Gather" version="opset8">
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| 145 | <data element_type="i64" shape="1" offset="384008732" size="8" />
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| 146 | <output>
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| 153 | <data element_type="i64" shape="1" offset="384008732" 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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| 161 | <input>
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| 162 | <port id="0" precision="I64">
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| 163 | <dim>1</dim>
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| 175 | <port id="4" precision="I64">
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| 176 | <dim>1</dim>
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| 181 | <dim>1</dim>
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| 182 | <dim>-1</dim>
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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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| 198 | <port id="2" precision="I64" names="40">
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| 199 | <dim>-1</dim>
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| 203 | </layer>
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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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| 247 | <data auto_broadcast="numpy" />
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| 248 | <input>
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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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| 12463 | </edges>
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| 12464 | <rt_info>
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| 12465 | <Runtime_version value="2024.4.1-16618-643f23d1318-releases/2024/4" />
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| 12466 | <conversion_parameters>
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| 12467 | <framework value="pytorch" />
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| 12468 | <is_python_object value="True" />
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| 12469 | </conversion_parameters>
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| 12470 | <optimum>
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| 12471 | <optimum_intel_version value="1.20.1" />
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| 12472 | <optimum_version value="1.24.0" />
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| 12473 | <pytorch_version value="2.6.0+cu124" />
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| 12474 | <transformers_version value="4.52.0.dev0" />
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| 12475 | </optimum>
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| 12476 | </rt_info>
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| 12477 | </net>
|
| 12478 | |