RedPajama-INCITE-Chat-3B-v1-int8-ov / openvino_detokenizer.xml
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<?xml version="1.0"?>
<net name="detokenizer" version="11">
<layers>
<layer id="0" name="Parameter_62070" type="Parameter" version="opset1">
<data shape="?,?" element_type="i64" />
<output>
<port id="0" precision="I64" names="Parameter_62070">
<dim>-1</dim>
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="1" name="Convert_62086" 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="2" name="Constant_62040" type="Const" version="opset1">
<data element_type="u8" shape="514030" offset="0" size="514030" />
<output>
<port id="0" precision="U8">
<dim>514030</dim>
</port>
</output>
</layer>
<layer id="3" name="StringTensorUnpack_62041" type="StringTensorUnpack" version="extension">
<data mode="begins_ends" />
<input>
<port id="0" precision="U8">
<dim>514030</dim>
</port>
</input>
<output>
<port id="1" precision="I32">
<dim>-1</dim>
</port>
<port id="2" precision="I32">
<dim>-1</dim>
</port>
<port id="3" precision="U8">
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="4" name="VocabDecoder_62071" type="VocabDecoder" version="extension">
<data skip_tokens="0, 1" />
<input>
<port id="0" precision="I32">
<dim>-1</dim>
<dim>-1</dim>
</port>
<port id="1" precision="I32">
<dim>-1</dim>
</port>
<port id="2" precision="I32">
<dim>-1</dim>
</port>
<port id="3" precision="U8">
<dim>-1</dim>
</port>
</input>
<output>
<port id="4" precision="I32">
<dim>-1</dim>
</port>
<port id="5" precision="I32">
<dim>-1</dim>
</port>
<port id="6" precision="I32">
<dim>-1</dim>
</port>
<port id="7" precision="I32">
<dim>-1</dim>
</port>
<port id="8" precision="U8">
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="5" name="FuzeRagged_62072" type="FuzeRagged" version="extension">
<input>
<port id="0" precision="I32">
<dim>-1</dim>
</port>
<port id="1" precision="I32">
<dim>-1</dim>
</port>
<port id="2" precision="I32">
<dim>-1</dim>
</port>
<port id="3" precision="I32">
<dim>-1</dim>
</port>
</input>
<output>
<port id="4" precision="I32">
<dim>-1</dim>
</port>
<port id="5" precision="I32">
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="6" name="Constant_62074" type="Const" version="opset1">
<data element_type="u8" shape="47" offset="514030" size="47" />
<output>
<port id="0" precision="U8">
<dim>47</dim>
</port>
</output>
</layer>
<layer id="7" name="Constant_62076" type="Const" version="opset1">
<data element_type="u8" shape="2" offset="514077" size="2" />
<output>
<port id="0" precision="U8">
<dim>2</dim>
</port>
</output>
</layer>
<layer id="8" name="RegexNormalization_62077" type="RegexNormalization" version="extension">
<data global_replace="true" />
<input>
<port id="0" precision="I32">
<dim>-1</dim>
</port>
<port id="1" precision="I32">
<dim>-1</dim>
</port>
<port id="2" precision="U8">
<dim>-1</dim>
</port>
<port id="3" precision="U8">
<dim>47</dim>
</port>
<port id="4" precision="U8">
<dim>2</dim>
</port>
</input>
<output>
<port id="5" precision="I32">
<dim>-1</dim>
</port>
<port id="6" precision="I32">
<dim>-1</dim>
</port>
<port id="7" precision="U8">
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="9" name="StringTensorPack_62078" type="StringTensorPack" version="extension">
<data mode="begins_ends" />
<input>
<port id="0" precision="I32">
<dim>-1</dim>
</port>
<port id="1" precision="I32">
<dim>-1</dim>
</port>
<port id="2" precision="U8">
<dim>-1</dim>
</port>
</input>
<output>
<port id="3" precision="STRING" names="string_output">
<dim>-1</dim>
</port>
</output>
</layer>
<layer id="10" name="Result_62079" type="Result" version="opset1">
<input>
<port id="0" precision="STRING">
<dim>-1</dim>
</port>
</input>
</layer>
</layers>
<edges>
<edge from-layer="0" from-port="0" to-layer="1" to-port="0" />
<edge from-layer="1" from-port="1" to-layer="4" to-port="0" />
<edge from-layer="2" from-port="0" to-layer="3" to-port="0" />
<edge from-layer="3" from-port="1" to-layer="4" to-port="1" />
<edge from-layer="3" from-port="2" to-layer="4" to-port="2" />
<edge from-layer="3" from-port="3" to-layer="4" to-port="3" />
<edge from-layer="4" from-port="7" to-layer="5" to-port="3" />
<edge from-layer="4" from-port="8" to-layer="8" to-port="2" />
<edge from-layer="4" from-port="6" to-layer="5" to-port="2" />
<edge from-layer="4" from-port="5" to-layer="5" to-port="1" />
<edge from-layer="4" from-port="4" to-layer="5" to-port="0" />
<edge from-layer="5" from-port="4" to-layer="8" to-port="0" />
<edge from-layer="5" from-port="5" to-layer="8" to-port="1" />
<edge from-layer="6" from-port="0" to-layer="8" to-port="3" />
<edge from-layer="7" from-port="0" to-layer="8" to-port="4" />
<edge from-layer="8" from-port="5" to-layer="9" to-port="0" />
<edge from-layer="8" from-port="6" to-layer="9" to-port="1" />
<edge from-layer="8" from-port="7" to-layer="9" to-port="2" />
<edge from-layer="9" from-port="3" to-layer="10" to-port="0" />
</edges>
<rt_info>
<bos_token_id value="0" />
<eos_token_id value="0" />
<original_tokenizer_class value="&lt;class 'transformers.models.gpt_neox.tokenization_gpt_neox_fast.GPTNeoXTokenizerFast'>" />
</rt_info>
</net>