openvino/openvino_model.xml
| 1 | <?xml version="1.0"?>
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| 2 | <net name="Model84" version="11">
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| 3 | <layers>
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| 4 | <layer id="2" 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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| 11 | </output>
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| 12 | </layer>
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| 13 | <layer id="1" 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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| 20 | </output>
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| 21 | </layer>
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| 22 | <layer id="0" name="token_type_ids" type="Parameter" version="opset1">
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| 23 | <data shape="?,?" element_type="i64" />
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| 24 | <output>
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| 25 | <port id="0" precision="I64" names="token_type_ids">
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| 26 | <dim>-1</dim>
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| 27 | <dim>-1</dim>
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| 30 | </layer>
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| 31 | <layer id="3" name="self.embeddings.word_embeddings.weight" type="Const" version="opset1">
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| 32 | <data element_type="f32" shape="250037, 384" offset="0" size="384056832" />
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| 33 | <output>
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| 34 | <port id="0" precision="FP32" names="self.embeddings.word_embeddings.weight">
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| 35 | <dim>250037</dim>
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| 36 | <dim>384</dim>
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| 37 | </port>
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| 38 | </output>
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| 39 | </layer>
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| 40 | <layer id="4" name="__module.embeddings.word_embeddings/aten::embedding/Convert" type="Convert" version="opset1">
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| 48 | <output>
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| 50 | <dim>-1</dim>
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| 51 | <dim>-1</dim>
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| 57 | <output>
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| 58 | <port id="0" precision="I32" />
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| 59 | </output>
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| 60 | </layer>
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| 61 | <layer id="6" name="__module.embeddings.word_embeddings/aten::embedding/Gather" type="Gather" version="opset8">
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| 62 | <data batch_dims="0" />
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| 63 | <input>
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| 64 | <port id="0" precision="FP32">
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| 69 | <dim>-1</dim>
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| 73 | </input>
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| 74 | <output>
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| 75 | <port id="3" precision="FP32" names="79,inputs_embeds">
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| 76 | <dim>-1</dim>
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| 77 | <dim>-1</dim>
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| 78 | <dim>384</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="self.embeddings.token_type_embeddings.weight" type="Const" version="opset1">
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| 83 | <data element_type="f32" shape="2, 384" offset="384056836" size="3072" />
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| 84 | <output>
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| 85 | <port id="0" precision="FP32" names="self.embeddings.token_type_embeddings.weight">
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| 86 | <dim>2</dim>
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| 87 | <dim>384</dim>
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| 88 | </port>
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| 90 | </layer>
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| 92 | <data destination_type="i32" />
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| 93 | <input>
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| 95 | <dim>-1</dim>
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| 96 | <dim>-1</dim>
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| 98 | </input>
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| 99 | <output>
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| 100 | <port id="1" precision="I32">
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| 101 | <dim>-1</dim>
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| 102 | <dim>-1</dim>
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| 105 | </layer>
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| 107 | <data element_type="i32" shape="" offset="384056832" size="4" />
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| 108 | <output>
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| 109 | <port id="0" precision="I32" />
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| 111 | </layer>
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| 113 | <data batch_dims="0" />
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| 114 | <input>
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| 115 | <port id="0" precision="FP32">
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| 116 | <dim>2</dim>
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| 124 | </input>
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| 127 | <dim>-1</dim>
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| 134 | <data auto_broadcast="numpy" />
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| 142 | <dim>-1</dim>
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| 157 | <output>
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| 158 | <port id="0" precision="FP32" names="self.embeddings.position_embeddings.weight">
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| 159 | <dim>512</dim>
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| 160 | <dim>384</dim>
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| 166 | <output>
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| 167 | <port id="0" precision="I64" names="76">
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| 168 | <dim>1</dim>
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| 169 | <dim>512</dim>
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| 174 | <data element_type="i64" shape="1" offset="384850436" size="8" />
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| 175 | <output>
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| 176 | <port id="0" precision="I64">
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| 177 | <dim>1</dim>
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| 182 | <data output_type="i64" />
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| 191 | <dim>2</dim>
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| 209 | <layer id="18" name="Gather_103912" type="Gather" version="opset8">
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| 12881 | <edge from-layer="756" from-port="2" to-layer="758" to-port="0" />
|
| 12882 | <edge from-layer="757" from-port="0" to-layer="758" to-port="1" />
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| 12883 | <edge from-layer="758" from-port="2" to-layer="760" to-port="0" />
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| 12884 | <edge from-layer="758" from-port="2" to-layer="768" to-port="1" />
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| 12885 | <edge from-layer="759" from-port="0" to-layer="760" to-port="1" />
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| 12886 | <edge from-layer="760" from-port="2" to-layer="762" to-port="0" />
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| 12887 | <edge from-layer="761" from-port="0" to-layer="762" to-port="1" />
|
| 12888 | <edge from-layer="762" from-port="2" to-layer="763" to-port="0" />
|
| 12889 | <edge from-layer="763" from-port="1" to-layer="765" to-port="0" />
|
| 12890 | <edge from-layer="764" from-port="0" to-layer="765" to-port="1" />
|
| 12891 | <edge from-layer="765" from-port="2" to-layer="767" to-port="0" />
|
| 12892 | <edge from-layer="766" from-port="0" to-layer="767" to-port="1" />
|
| 12893 | <edge from-layer="767" from-port="2" to-layer="768" to-port="0" />
|
| 12894 | <edge from-layer="768" from-port="2" to-layer="770" to-port="0" />
|
| 12895 | <edge from-layer="769" from-port="0" to-layer="770" to-port="1" />
|
| 12896 | <edge from-layer="770" from-port="2" to-layer="772" to-port="0" />
|
| 12897 | <edge from-layer="771" from-port="0" to-layer="772" to-port="1" />
|
| 12898 | <edge from-layer="772" from-port="2" to-layer="774" to-port="0" />
|
| 12899 | <edge from-layer="773" from-port="0" to-layer="774" to-port="1" />
|
| 12900 | <edge from-layer="774" from-port="2" to-layer="775" to-port="0" />
|
| 12901 | </edges>
|
| 12902 | <rt_info>
|
| 12903 | <Runtime_version value="2024.4.1-16618-643f23d1318-releases/2024/4" />
|
| 12904 | <conversion_parameters>
|
| 12905 | <framework value="pytorch" />
|
| 12906 | <is_python_object value="True" />
|
| 12907 | </conversion_parameters>
|
| 12908 | <optimum>
|
| 12909 | <optimum_intel_version value="1.20.0.dev0+b31524c" />
|
| 12910 | <optimum_version value="1.23.0" />
|
| 12911 | <pytorch_version value="2.5.0.dev20240807+cu121" />
|
| 12912 | <transformers_version value="4.43.4" />
|
| 12913 | </optimum>
|
| 12914 | </rt_info>
|
| 12915 | </net>
|
| 12916 | |