add ov tokenizer
Browse files- openvino_detokenizer.bin +3 -0
- openvino_detokenizer.xml +97 -0
- openvino_tokenizer.bin +3 -0
- openvino_tokenizer.xml +231 -0
openvino_detokenizer.bin
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:d2ea875209e33784794f86a0f20a19cac1701513a9f3ec9dc9fa2ae8708b1eb0
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size 493443
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openvino_detokenizer.xml
ADDED
@@ -0,0 +1,97 @@
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<?xml version="1.0"?>
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<net name="detokenizer" version="11">
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<layers>
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<layer id="0" name="Parameter_22" type="Parameter" version="opset1">
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<data shape="?,?" element_type="i64" />
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<output>
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<port id="0" precision="I64" names="Parameter_22">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="1" name="Constant_2" type="Const" version="opset1">
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<data element_type="u8" shape="493443" offset="0" size="493443" />
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<output>
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<port id="0" precision="U8">
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<dim>493443</dim>
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</port>
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</output>
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</layer>
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<layer id="2" name="Convert_32" type="Convert" version="opset1">
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<data destination_type="i32" />
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<input>
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<port id="0" precision="I64">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="1" precision="I32">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="3" name="SentencepieceDetokenizer_23" type="SentencepieceDetokenizer" version="extension">
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<input>
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<port id="0" precision="U8">
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<dim>493443</dim>
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</port>
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<port id="1" precision="I32">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="2" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="3" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="4" precision="U8">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="4" name="StringTensorPack_24" type="StringTensorPack" version="extension">
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<data mode="begins_ends" />
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<input>
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<port id="0" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="1" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="2" precision="U8">
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="3" precision="STRING" names="string_output">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="5" name="Result_25" type="Result" version="opset1">
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<input>
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<port id="0" precision="STRING">
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<dim>-1</dim>
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</port>
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</input>
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</layer>
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</layers>
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<edges>
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<edge from-layer="0" from-port="0" to-layer="2" to-port="0" />
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<edge from-layer="1" from-port="0" to-layer="3" to-port="0" />
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<edge from-layer="2" from-port="1" to-layer="3" to-port="1" />
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<edge from-layer="3" from-port="2" to-layer="4" to-port="0" />
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<edge from-layer="3" from-port="3" to-layer="4" to-port="1" />
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<edge from-layer="3" from-port="4" to-layer="4" to-port="2" />
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<edge from-layer="4" from-port="3" to-layer="5" to-port="0" />
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</edges>
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<rt_info>
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<eos_token_id value="2" />
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</rt_info>
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</net>
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openvino_tokenizer.bin
ADDED
@@ -0,0 +1,3 @@
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1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:4671ca604486debb291edaea68a90715521f1188405b6bf396597e7a1b873117
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size 493451
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openvino_tokenizer.xml
ADDED
@@ -0,0 +1,231 @@
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<?xml version="1.0"?>
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<net name="tokenizer" version="11">
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<layers>
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<layer id="0" name="string_input" type="Parameter" version="opset1">
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<data shape="?" element_type="string" />
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<output>
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<port id="0" precision="STRING" names="string_input">
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="1" name="Constant_8" type="Const" version="opset1">
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<data element_type="i32" shape="" offset="0" size="4" />
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<output>
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<port id="0" precision="I32" />
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</output>
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</layer>
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<layer id="2" name="Constant_1" type="Const" version="opset1">
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<data element_type="u8" shape="493443" offset="4" size="493443" />
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<output>
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<port id="0" precision="U8">
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<dim>493443</dim>
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</port>
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</output>
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</layer>
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<layer id="3" name="SentencepieceTokenizer_4" type="SentencepieceTokenizer" version="extension">
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<data nbest_size="0" alpha="0" add_bos="true" add_eos="false" reverse="false" />
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<input>
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<port id="0" precision="U8">
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<dim>493443</dim>
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</port>
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<port id="1" precision="STRING">
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<dim>-1</dim>
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</port>
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</input>
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<output>
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<port id="2" precision="I64">
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<dim>-1</dim>
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<dim>2</dim>
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</port>
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<port id="3" precision="I32">
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<dim>-1</dim>
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</port>
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<port id="4" precision="I64">
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<dim>2</dim>
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</port>
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</output>
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</layer>
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<layer id="4" name="Broadcast_9" type="Broadcast" version="opset3">
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<data mode="numpy" />
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<input>
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<port id="0" precision="I32" />
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<port id="1" precision="I64">
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<dim>2</dim>
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</port>
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</input>
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<output>
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<port id="2" precision="I32">
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<dim>-1</dim>
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<dim>-1</dim>
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</port>
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</output>
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</layer>
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<layer id="5" name="Constant_10" type="Const" version="opset1">
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<data element_type="i32" shape="" offset="493447" size="4" />
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<output>
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<port id="0" precision="I32" />
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</output>
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</layer>
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<layer id="6" name="ShapeOf_11" type="ShapeOf" version="opset3">
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<data output_type="i64" />
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<input>
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<port id="0" precision="I32">
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<dim>-1</dim>
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</port>
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</input>
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<output>
|
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<port id="1" precision="I64">
|
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<dim>1</dim>
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</port>
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</output>
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</layer>
|
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<layer id="7" name="Broadcast_12" type="Broadcast" version="opset3">
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<data mode="numpy" />
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<input>
|
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<port id="0" precision="I32" />
|
87 |
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<port id="1" precision="I64">
|
88 |
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<dim>1</dim>
|
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</port>
|
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</input>
|
91 |
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<output>
|
92 |
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<port id="2" precision="I32">
|
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<dim>-1</dim>
|
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</port>
|
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</output>
|
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</layer>
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<layer id="8" name="ScatterNDUpdate_16" type="ScatterNDUpdate" version="opset4">
|
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<input>
|
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<port id="0" precision="I32">
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100 |
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<dim>-1</dim>
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<dim>-1</dim>
|
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</port>
|
103 |
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<port id="1" precision="I64">
|
104 |
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<dim>-1</dim>
|
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<dim>2</dim>
|
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</port>
|
107 |
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<port id="2" precision="I32">
|
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<dim>-1</dim>
|
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</port>
|
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</input>
|
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<output>
|
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<port id="3" precision="I32">
|
113 |
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<dim>-1</dim>
|
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<dim>-1</dim>
|
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</port>
|
116 |
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</output>
|
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</layer>
|
118 |
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<layer id="9" name="ScatterNDUpdate_16" type="Convert" version="opset1">
|
119 |
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<data destination_type="i64" />
|
120 |
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<input>
|
121 |
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<port id="0" precision="I32">
|
122 |
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<dim>-1</dim>
|
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<dim>-1</dim>
|
124 |
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</port>
|
125 |
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</input>
|
126 |
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<output>
|
127 |
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<port id="1" precision="I64" names="attention_mask">
|
128 |
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<dim>-1</dim>
|
129 |
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<dim>-1</dim>
|
130 |
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</port>
|
131 |
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</output>
|
132 |
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</layer>
|
133 |
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<layer id="11" name="Constant_5" type="Const" version="opset1">
|
134 |
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<data element_type="i32" shape="" offset="0" size="4" />
|
135 |
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<output>
|
136 |
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<port id="0" precision="I32" />
|
137 |
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</output>
|
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</layer>
|
139 |
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<layer id="12" name="Broadcast_6" type="Broadcast" version="opset3">
|
140 |
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<data mode="numpy" />
|
141 |
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<input>
|
142 |
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<port id="0" precision="I32" />
|
143 |
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<port id="1" precision="I64">
|
144 |
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<dim>2</dim>
|
145 |
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</port>
|
146 |
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</input>
|
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<output>
|
148 |
+
<port id="2" precision="I32">
|
149 |
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<dim>-1</dim>
|
150 |
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<dim>-1</dim>
|
151 |
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</port>
|
152 |
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</output>
|
153 |
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</layer>
|
154 |
+
<layer id="13" name="ScatterNDUpdate_7" type="ScatterNDUpdate" version="opset4">
|
155 |
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<input>
|
156 |
+
<port id="0" precision="I32">
|
157 |
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<dim>-1</dim>
|
158 |
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<dim>-1</dim>
|
159 |
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</port>
|
160 |
+
<port id="1" precision="I64">
|
161 |
+
<dim>-1</dim>
|
162 |
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<dim>2</dim>
|
163 |
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</port>
|
164 |
+
<port id="2" precision="I32">
|
165 |
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<dim>-1</dim>
|
166 |
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</port>
|
167 |
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</input>
|
168 |
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<output>
|
169 |
+
<port id="3" precision="I32">
|
170 |
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<dim>-1</dim>
|
171 |
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<dim>-1</dim>
|
172 |
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</port>
|
173 |
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</output>
|
174 |
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</layer>
|
175 |
+
<layer id="14" name="ScatterNDUpdate_7" type="Convert" version="opset1">
|
176 |
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<data destination_type="i64" />
|
177 |
+
<input>
|
178 |
+
<port id="0" precision="I32">
|
179 |
+
<dim>-1</dim>
|
180 |
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<dim>-1</dim>
|
181 |
+
</port>
|
182 |
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</input>
|
183 |
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<output>
|
184 |
+
<port id="1" precision="I64" names="input_ids">
|
185 |
+
<dim>-1</dim>
|
186 |
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<dim>-1</dim>
|
187 |
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</port>
|
188 |
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</output>
|
189 |
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</layer>
|
190 |
+
<layer id="15" name="Result_17" type="Result" version="opset1">
|
191 |
+
<input>
|
192 |
+
<port id="0" precision="I64">
|
193 |
+
<dim>-1</dim>
|
194 |
+
<dim>-1</dim>
|
195 |
+
</port>
|
196 |
+
</input>
|
197 |
+
</layer>
|
198 |
+
<layer id="10" name="Result_18" type="Result" version="opset1">
|
199 |
+
<input>
|
200 |
+
<port id="0" precision="I64">
|
201 |
+
<dim>-1</dim>
|
202 |
+
<dim>-1</dim>
|
203 |
+
</port>
|
204 |
+
</input>
|
205 |
+
</layer>
|
206 |
+
</layers>
|
207 |
+
<edges>
|
208 |
+
<edge from-layer="0" from-port="0" to-layer="3" to-port="1" />
|
209 |
+
<edge from-layer="1" from-port="0" to-layer="4" to-port="0" />
|
210 |
+
<edge from-layer="2" from-port="0" to-layer="3" to-port="0" />
|
211 |
+
<edge from-layer="3" from-port="4" to-layer="4" to-port="1" />
|
212 |
+
<edge from-layer="3" from-port="3" to-layer="6" to-port="0" />
|
213 |
+
<edge from-layer="3" from-port="2" to-layer="8" to-port="1" />
|
214 |
+
<edge from-layer="3" from-port="3" to-layer="13" to-port="2" />
|
215 |
+
<edge from-layer="3" from-port="2" to-layer="13" to-port="1" />
|
216 |
+
<edge from-layer="3" from-port="4" to-layer="12" to-port="1" />
|
217 |
+
<edge from-layer="4" from-port="2" to-layer="8" to-port="0" />
|
218 |
+
<edge from-layer="5" from-port="0" to-layer="7" to-port="0" />
|
219 |
+
<edge from-layer="6" from-port="1" to-layer="7" to-port="1" />
|
220 |
+
<edge from-layer="7" from-port="2" to-layer="8" to-port="2" />
|
221 |
+
<edge from-layer="8" from-port="3" to-layer="9" to-port="0" />
|
222 |
+
<edge from-layer="9" from-port="1" to-layer="10" to-port="0" />
|
223 |
+
<edge from-layer="11" from-port="0" to-layer="12" to-port="0" />
|
224 |
+
<edge from-layer="12" from-port="2" to-layer="13" to-port="0" />
|
225 |
+
<edge from-layer="13" from-port="3" to-layer="14" to-port="0" />
|
226 |
+
<edge from-layer="14" from-port="1" to-layer="15" to-port="0" />
|
227 |
+
</edges>
|
228 |
+
<rt_info>
|
229 |
+
<eos_token_id value="2" />
|
230 |
+
</rt_info>
|
231 |
+
</net>
|