Anthonyfhd commited on
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92d5d2c
1 Parent(s): e56debf

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config.json CHANGED
@@ -1,5 +1,5 @@
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openvino_config.json ADDED
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  <port id="0" precision="I32" />
 
116
  </port>
117
  </output>
118
  </layer>
119
+ <layer id="10" name="Constant_311188" type="Const" version="opset1">
120
  <data element_type="i32" shape="" offset="4" size="4" />
121
  <output>
122
  <port id="0" precision="I32" />
123
  </output>
124
  </layer>
125
+ <layer id="11" name="Constant_311189" type="Const" version="opset1">
126
  <data element_type="i64" shape="" offset="8" size="8" />
127
  <output>
128
  <port id="0" precision="I64" />
129
  </output>
130
  </layer>
131
+ <layer id="12" name="Add_311190" type="Add" version="opset1">
132
  <data auto_broadcast="numpy" />
133
  <input>
134
  <port id="0" precision="I64" />
 
138
  <port id="2" precision="I64" />
139
  </output>
140
  </layer>
141
+ <layer id="13" name="Constant_311191" type="Const" version="opset1">
142
  <data element_type="i32" shape="" offset="4" size="4" />
143
  <output>
144
  <port id="0" precision="I32" />
145
  </output>
146
  </layer>
147
+ <layer id="14" name="Range_311192" type="Range" version="opset4">
148
  <data output_type="i32" />
149
  <input>
150
  <port id="0" precision="I32" />
 
157
  </port>
158
  </output>
159
  </layer>
160
+ <layer id="15" name="Constant_311255" type="Const" version="opset1">
161
  <data element_type="u8" shape="115" offset="16" size="115" />
162
  <output>
163
  <port id="0" precision="U8">
 
165
  </port>
166
  </output>
167
  </layer>
168
+ <layer id="16" name="RegexSplit_311256" type="RegexSplit" version="extension">
169
  <data behaviour="isolate" invert="false" max_splits="-1" />
170
  <input>
171
  <port id="0" precision="I32">
 
205
  </port>
206
  </output>
207
  </layer>
208
+ <layer id="17" name="BytesToChars_311257" type="BytesToChars" version="extension">
209
  <input>
210
  <port id="0" precision="I32">
211
  <dim>-1</dim>
 
241
  </port>
242
  </output>
243
  </layer>
244
+ <layer id="18" name="Constant_311259" type="Const" version="opset1">
245
  <data element_type="u8" shape="1976110" offset="131" size="1976110" />
246
  <output>
247
  <port id="0" precision="U8">
 
249
  </port>
250
  </output>
251
  </layer>
252
+ <layer id="19" name="StringTensorUnpack_311260" type="StringTensorUnpack" version="extension">
253
  <data mode="begins_ends" />
254
  <input>
255
  <port id="0" precision="U8">
 
268
  </port>
269
  </output>
270
  </layer>
271
+ <layer id="20" name="Constant_311262" type="Const" version="opset1">
272
  <data element_type="u8" shape="2126008" offset="1976241" size="2126008" />
273
  <output>
274
  <port id="0" precision="U8">
 
276
  </port>
277
  </output>
278
  </layer>
279
+ <layer id="21" name="StringTensorUnpack_311263" type="StringTensorUnpack" version="extension">
280
  <data mode="begins_ends" />
281
  <input>
282
  <port id="0" precision="U8">
 
295
  </port>
296
  </output>
297
  </layer>
298
+ <layer id="22" name="BPETokenizer_311264" type="BPETokenizer" version="extension">
299
  <data unk_token="" fuse_unk="false" suffix_indicator="" end_suffix="" byte_fallback="false" />
300
  <input>
301
  <port id="0" precision="I32">
 
344
  </port>
345
  </output>
346
  </layer>
347
+ <layer id="23" name="Subtract_311265" type="Subtract" version="opset1">
348
  <data auto_broadcast="numpy" />
349
  <input>
350
  <port id="0" precision="I32">
 
360
  </port>
361
  </output>
362
  </layer>
363
+ <layer id="24" name="Constant_311266" type="Const" version="opset1">
364
  <data element_type="i32" shape="" offset="4102249" size="4" />
365
  <output>
366
  <port id="0" precision="I32" />
367
  </output>
368
  </layer>
369
+ <layer id="25" name="Minimum_311267" type="Minimum" version="opset1">
370
  <data auto_broadcast="numpy" />
371
  <input>
372
  <port id="0" precision="I32">
 
380
  </port>
381
  </output>
382
  </layer>
383
+ <layer id="26" name="Add_311268" type="Add" version="opset1">
384
  <data auto_broadcast="numpy" />
385
  <input>
386
  <port id="0" precision="I32">
 
396
  </port>
397
  </output>
398
  </layer>
399
+ <layer id="27" name="Subtract_311269" type="Subtract" version="opset1">
400
  <data auto_broadcast="numpy" />
401
  <input>
402
  <port id="0" precision="I32">
 
412
  </port>
413
  </output>
414
  </layer>
415
+ <layer id="28" name="Constant_311270" type="Const" version="opset1">
416
  <data element_type="i32" shape="" offset="0" size="4" />
417
  <output>
418
  <port id="0" precision="I32" />
419
  </output>
420
  </layer>
421
+ <layer id="29" name="ReduceMax_311271" type="ReduceMax" version="opset1">
422
  <data keep_dims="false" />
423
  <input>
424
  <port id="0" precision="I32">
 
430
  <port id="2" precision="I32" />
431
  </output>
432
  </layer>
433
+ <layer id="30" name="Constant_311272" type="Const" version="opset1">
434
  <data element_type="i32" shape="" offset="4102253" size="4" />
435
  <output>
436
  <port id="0" precision="I32" />
437
  </output>
438
  </layer>
439
+ <layer id="31" name="RaggedToDense_311273" type="RaggedToDense" version="extension">
440
  <input>
441
  <port id="0" precision="I32">
442
  <dim>-1</dim>
 
461
  </port>
462
  </output>
463
  </layer>
464
+ <layer id="32" name="Convert_311274" type="Convert" version="opset1">
465
  <data destination_type="i32" />
466
  <input>
467
  <port id="0" precision="BOOL">
 
476
  </port>
477
  </output>
478
  </layer>
479
+ <layer id="33" name="Convert_311274" type="Convert" version="opset1">
480
  <data destination_type="i64" />
481
  <input>
482
  <port id="0" precision="I32">
 
491
  </port>
492
  </output>
493
  </layer>
494
+ <layer id="35" name="RaggedToDense_311273.0" type="Convert" version="opset1">
495
  <data destination_type="i64" />
496
  <input>
497
  <port id="0" precision="I32">
 
506
  </port>
507
  </output>
508
  </layer>
509
+ <layer id="36" name="Result_311275" type="Result" version="opset1">
510
  <input>
511
  <port id="0" precision="I64">
512
  <dim>-1</dim>
 
514
  </port>
515
  </input>
516
  </layer>
517
+ <layer id="34" name="Result_311276" type="Result" version="opset1">
518
  <input>
519
  <port id="0" precision="I64">
520
  <dim>-1</dim>