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parakeet-tdt-0.6b-v3-ov

Automatic Speech Recognition
speech
audio
Transducer
TDT
FastConformer
Conformer
multilingual
NeMo
OpenVINO
Model card Files
xet
Community
alexwengg commited on
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  1. parakeet_decoder.bin +2 -2
  2. parakeet_decoder.xml +107 -104
  3. parakeet_encoder.bin +2 -2
  4. parakeet_encoder.xml +0 -0
  5. parakeet_joint.bin +2 -2
  6. parakeet_joint.xml +73 -73
  7. parakeet_melspectogram.bin +1 -1
  8. parakeet_melspectogram.xml +1070 -313
  9. parakeet_vocab.json +0 -0
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836
  <data destination_type="f32" />
837
  <rt_info>
838
  <attribute name="decompression" version="0" />
@@ -850,7 +853,7 @@
850
  </port>
851
  </output>
852
  </layer>
853
- <layer id="62" name="LSTMSequence_51927" type="LSTMSequence" version="opset5">
854
  <data direction="forward" hidden_size="640" activations="sigmoid, tanh, tanh" activations_alpha="" activations_beta="" clip="0" />
855
  <input>
856
  <port id="0" precision="FP32">
@@ -869,7 +872,7 @@
869
  <dim>640</dim>
870
  </port>
871
  <port id="3" precision="I64">
872
- <dim>1</dim>
873
  </port>
874
  <port id="4" precision="FP32">
875
  <dim>1</dim>
@@ -905,8 +908,8 @@
905
  </port>
906
  </output>
907
  </layer>
908
- <layer id="63" name="Constant_54003" type="Const" version="opset1">
909
- <data element_type="i64" shape="3" offset="7870768" size="24" />
910
  <rt_info>
911
  <attribute name="precise" version="0" />
912
  </rt_info>
@@ -958,8 +961,8 @@
958
  </port>
959
  </output>
960
  </layer>
961
- <layer id="67" name="Constant_54015" type="Const" version="opset1">
962
- <data element_type="i64" shape="3" offset="7870768" size="24" />
963
  <rt_info>
964
  <attribute name="precise" version="0" />
965
  </rt_info>
@@ -989,8 +992,8 @@
989
  </port>
990
  </output>
991
  </layer>
992
- <layer id="69" name="Constant_54023" type="Const" version="opset1">
993
- <data element_type="i64" shape="3" offset="7870768" size="24" />
994
  <rt_info>
995
  <attribute name="precise" version="0" />
996
  </rt_info>
@@ -1042,15 +1045,15 @@
1042
  </port>
1043
  </output>
1044
  </layer>
1045
- <layer id="73" name="Constant_53853" type="Const" version="opset1">
1046
- <data element_type="i64" shape="1" offset="1312032" size="8" />
1047
  <output>
1048
  <port id="0" precision="I64">
1049
  <dim>1</dim>
1050
  </port>
1051
  </output>
1052
  </layer>
1053
- <layer id="74" name="Squeeze_53854" type="Squeeze" version="opset1">
1054
  <input>
1055
  <port id="0" precision="FP32">
1056
  <dim>1</dim>
@@ -1070,8 +1073,8 @@
1070
  </port>
1071
  </output>
1072
  </layer>
1073
- <layer id="75" name="Constant_53855" type="Const" version="opset1">
1074
- <data element_type="i64" shape="3" offset="1312008" size="24" />
1075
  <output>
1076
  <port id="0" precision="I64">
1077
  <dim>3</dim>
@@ -1212,7 +1215,7 @@
1212
  <edge from-layer="76" from-port="2" to-layer="77" to-port="0" />
1213
  </edges>
1214
  <rt_info>
1215
- <Runtime_version value="2025.2.0-19140-c01cd93e24d-releases/2025/2" />
1216
  <conversion_parameters>
1217
  <is_python_object value="False" />
1218
  </conversion_parameters>
 
2
  <net name="main_graph" version="11">
3
  <layers>
4
  <layer id="2" name="targets" type="Parameter" version="opset1">
5
+ <data shape="1,?" element_type="i64" />
6
+ <rt_info>
7
+ <attribute name="old_api_map_element_type" version="0" value="i32" />
8
+ </rt_info>
9
  <output>
10
+ <port id="0" precision="I64" names="targets">
 
11
  <dim>1</dim>
12
+ <dim>-1</dim>
13
  </port>
14
  </output>
15
  </layer>
 
34
  </output>
35
  </layer>
36
  <layer id="3" name="embed.weight_compressed" type="Const" version="opset1">
37
+ <data element_type="f16" shape="8193, 640" offset="0" size="10487040" />
38
  <output>
39
  <port id="0" precision="FP16" names="embed.weight">
40
+ <dim>8193</dim>
41
  <dim>640</dim>
42
  </port>
43
  </output>
 
49
  </rt_info>
50
  <input>
51
  <port id="0" precision="FP16">
52
+ <dim>8193</dim>
53
  <dim>640</dim>
54
  </port>
55
  </input>
56
  <output>
57
  <port id="1" precision="FP32">
58
+ <dim>8193</dim>
59
  <dim>640</dim>
60
  </port>
61
  </output>
62
  </layer>
63
+ <layer id="5" name="Constant_44226" type="Const" version="opset1">
64
+ <data element_type="i64" shape="" offset="10487040" size="8" />
65
  <output>
66
  <port id="0" precision="I64" />
67
  </output>
 
70
  <data batch_dims="0" />
71
  <input>
72
  <port id="0" precision="FP32">
73
+ <dim>8193</dim>
74
  <dim>640</dim>
75
  </port>
76
+ <port id="1" precision="I64">
 
77
  <dim>1</dim>
78
+ <dim>-1</dim>
79
  </port>
80
  <port id="2" precision="I64" />
81
  </input>
82
  <output>
83
  <port id="3" precision="FP32" names="/embed/Gather_output_0">
84
  <dim>1</dim>
85
+ <dim>-1</dim>
86
  <dim>640</dim>
87
  </port>
88
  </output>
89
  </layer>
90
+ <layer id="7" name="Constant_44249" type="Const" version="opset1">
91
+ <data element_type="i64" shape="3" offset="10487048" size="24" />
92
  <output>
93
  <port id="0" precision="I64">
94
  <dim>3</dim>
95
  </port>
96
  </output>
97
  </layer>
98
+ <layer id="8" name="Transpose_44250" type="Transpose" version="opset1">
99
  <input>
100
  <port id="0" precision="FP32">
101
  <dim>1</dim>
102
+ <dim>-1</dim>
103
  <dim>640</dim>
104
  </port>
105
  <port id="1" precision="I64">
 
108
  </input>
109
  <output>
110
  <port id="2" precision="FP32">
111
+ <dim>-1</dim>
112
  <dim>1</dim>
113
  <dim>640</dim>
114
  </port>
115
  </output>
116
  </layer>
117
  <layer id="9" name="/rnn/Constant_1" type="Const" version="opset1">
118
+ <data element_type="i64" shape="1" offset="10487040" size="8" />
119
  <output>
120
  <port id="0" precision="I64" names="/rnn/Constant_1_output_0">
121
  <dim>1</dim>
 
123
  </output>
124
  </layer>
125
  <layer id="10" name="/rnn/Constant_2" type="Const" version="opset1">
126
+ <data element_type="i64" shape="1" offset="10487072" size="8" />
127
  <output>
128
  <port id="0" precision="I64" names="/rnn/Constant_2_output_0">
129
  <dim>1</dim>
130
  </port>
131
  </output>
132
  </layer>
133
+ <layer id="11" name="Broadcast_44233" type="Const" version="opset1">
134
+ <data element_type="i64" shape="1" offset="10487072" size="8" />
135
  <output>
136
  <port id="0" precision="I64">
137
  <dim>1</dim>
 
139
  </output>
140
  </layer>
141
  <layer id="12" name="/rnn/Constant" type="Const" version="opset1">
142
+ <data element_type="i64" shape="1" offset="10487040" size="8" />
143
  <output>
144
  <port id="0" precision="I64" names="/rnn/Constant_output_0">
145
  <dim>1</dim>
 
174
  </port>
175
  </output>
176
  </layer>
177
+ <layer id="14" name="Constant_44277" type="Const" version="opset1">
178
+ <data element_type="i64" shape="3" offset="10487048" size="24" />
179
  <output>
180
  <port id="0" precision="I64">
181
  <dim>3</dim>
182
  </port>
183
  </output>
184
  </layer>
185
+ <layer id="15" name="Transpose_44278" type="Transpose" version="opset1">
186
  <input>
187
  <port id="0" precision="FP32">
188
  <dim>1</dim>
 
202
  </output>
203
  </layer>
204
  <layer id="16" name="/rnn/Constant_4" type="Const" version="opset1">
205
+ <data element_type="i64" shape="1" offset="10487040" size="8" />
206
  <output>
207
  <port id="0" precision="I64" names="/rnn/Constant_4_output_0">
208
  <dim>1</dim>
 
210
  </output>
211
  </layer>
212
  <layer id="17" name="/rnn/Constant_5" type="Const" version="opset1">
213
+ <data element_type="i64" shape="1" offset="10487072" size="8" />
214
  <output>
215
  <port id="0" precision="I64" names="/rnn/Constant_5_output_0">
216
  <dim>1</dim>
217
  </port>
218
  </output>
219
  </layer>
220
+ <layer id="18" name="Broadcast_44243" type="Const" version="opset1">
221
+ <data element_type="i64" shape="1" offset="10487072" size="8" />
222
  <output>
223
  <port id="0" precision="I64">
224
  <dim>1</dim>
 
226
  </output>
227
  </layer>
228
  <layer id="19" name="/rnn/Constant_3" type="Const" version="opset1">
229
+ <data element_type="i64" shape="1" offset="10487040" size="8" />
230
  <output>
231
  <port id="0" precision="I64" names="/rnn/Constant_3_output_0">
232
  <dim>1</dim>
 
261
  </port>
262
  </output>
263
  </layer>
264
+ <layer id="21" name="Constant_44279" type="Const" version="opset1">
265
+ <data element_type="i64" shape="3" offset="10487048" size="24" />
266
  <output>
267
  <port id="0" precision="I64">
268
  <dim>3</dim>
269
  </port>
270
  </output>
271
  </layer>
272
+ <layer id="22" name="Transpose_44280" type="Transpose" version="opset1">
273
  <input>
274
  <port id="0" precision="FP32">
275
  <dim>1</dim>
 
288
  </port>
289
  </output>
290
  </layer>
291
+ <layer id="23" name="ShapeOf_44257" type="ShapeOf" version="opset3">
292
  <data output_type="i64" />
293
  <input>
294
  <port id="0" precision="FP32">
295
+ <dim>-1</dim>
296
  <dim>1</dim>
297
  <dim>640</dim>
298
  </port>
 
303
  </port>
304
  </output>
305
  </layer>
306
+ <layer id="24" name="Constant_44261" type="Const" version="opset1">
307
+ <data element_type="i32" shape="1" offset="10487080" size="4" />
308
  <output>
309
  <port id="0" precision="I32">
310
  <dim>1</dim>
311
  </port>
312
  </output>
313
  </layer>
314
+ <layer id="25" name="Constant_44258" type="Const" version="opset1">
315
+ <data element_type="i32" shape="1" offset="10487084" size="4" />
316
  <output>
317
  <port id="0" precision="I32">
318
  <dim>1</dim>
319
  </port>
320
  </output>
321
  </layer>
322
+ <layer id="26" name="Gather_44262" type="Gather" version="opset8">
323
  <data batch_dims="0" />
324
  <input>
325
  <port id="0" precision="I64">
 
338
  </port>
339
  </output>
340
  </layer>
341
+ <layer id="27" name="Constant_46451" type="Const" version="opset1">
342
+ <data element_type="i64" shape="1" offset="10487040" size="8" />
343
  <rt_info>
344
  <attribute name="precise" version="0" />
345
  </rt_info>
 
349
  </port>
350
  </output>
351
  </layer>
352
+ <layer id="28" name="Constant_46452" type="Const" version="opset1">
353
+ <data element_type="i64" shape="" offset="10487040" size="8" />
354
  <rt_info>
355
  <attribute name="precise" version="0" />
356
  </rt_info>
 
358
  <port id="0" precision="I64" />
359
  </output>
360
  </layer>
361
+ <layer id="29" name="Gather_46453" type="Gather" version="opset8">
362
  <data batch_dims="0" />
363
  <input>
364
  <port id="0" precision="I64">
 
375
  </port>
376
  </output>
377
  </layer>
378
+ <layer id="30" name="Broadcast_44274" type="Broadcast" version="opset3">
379
  <data mode="numpy" />
380
  <input>
381
  <port id="0" precision="I64">
 
387
  </input>
388
  <output>
389
  <port id="2" precision="I64">
390
+ <dim>-1</dim>
391
  </port>
392
  </output>
393
  </layer>
394
+ <layer id="31" name="Concat_44253_compressed" type="Const" version="opset1">
395
+ <data element_type="f16" shape="1, 2560, 640" offset="10487088" size="3276800" />
396
  <output>
397
  <port id="0" precision="FP16">
398
  <dim>1</dim>
 
401
  </port>
402
  </output>
403
  </layer>
404
+ <layer id="32" name="Concat_44253" type="Convert" version="opset1">
405
  <data destination_type="f32" />
406
  <rt_info>
407
  <attribute name="decompression" version="0" />
 
421
  </port>
422
  </output>
423
  </layer>
424
+ <layer id="33" name="Concat_44256_compressed" type="Const" version="opset1">
425
+ <data element_type="f16" shape="1, 2560, 640" offset="13763888" size="3276800" />
426
  <output>
427
  <port id="0" precision="FP16">
428
  <dim>1</dim>
 
431
  </port>
432
  </output>
433
  </layer>
434
+ <layer id="34" name="Concat_44256" type="Convert" version="opset1">
435
  <data destination_type="f32" />
436
  <rt_info>
437
  <attribute name="decompression" version="0" />
 
451
  </port>
452
  </output>
453
  </layer>
454
+ <layer id="35" name="Concat_44273_compressed" type="Const" version="opset1">
455
+ <data element_type="f16" shape="1, 2560" offset="17040688" size="5120" />
456
  <output>
457
  <port id="0" precision="FP16">
458
  <dim>1</dim>
 
460
  </port>
461
  </output>
462
  </layer>
463
+ <layer id="36" name="Concat_44273" type="Convert" version="opset1">
464
  <data destination_type="f32" />
465
  <rt_info>
466
  <attribute name="decompression" version="0" />
 
478
  </port>
479
  </output>
480
  </layer>
481
+ <layer id="37" name="LSTMSequence_44288" type="LSTMSequence" version="opset5">
482
  <data direction="forward" hidden_size="640" activations="sigmoid, tanh, tanh" activations_alpha="" activations_beta="" clip="0" />
483
  <input>
484
  <port id="0" precision="FP32">
485
+ <dim>-1</dim>
486
  <dim>1</dim>
487
  <dim>640</dim>
488
  </port>
 
497
  <dim>640</dim>
498
  </port>
499
  <port id="3" precision="I64">
500
+ <dim>-1</dim>
501
  </port>
502
  <port id="4" precision="FP32">
503
  <dim>1</dim>
 
533
  </port>
534
  </output>
535
  </layer>
536
+ <layer id="38" name="Constant_46291" type="Const" version="opset1">
537
+ <data element_type="i64" shape="3" offset="17045808" size="24" />
538
  <rt_info>
539
  <attribute name="precise" version="0" />
540
  </rt_info>
 
564
  </port>
565
  </output>
566
  </layer>
567
+ <layer id="40" name="Constant_46266" type="Const" version="opset1">
568
+ <data element_type="i64" shape="1" offset="10487072" size="8" />
569
  <output>
570
  <port id="0" precision="I64">
571
  <dim>1</dim>
572
  </port>
573
  </output>
574
  </layer>
575
+ <layer id="41" name="Squeeze_46267" type="Squeeze" version="opset1">
576
  <input>
577
  <port id="0" precision="FP32">
578
  <dim>1</dim>
 
593
  </output>
594
  </layer>
595
  <layer id="42" name="/rnn/Constant_8" type="Const" version="opset1">
596
+ <data element_type="i64" shape="1" offset="10487072" size="8" />
597
  <output>
598
  <port id="0" precision="I64" names="/rnn/Constant_8_output_0">
599
  <dim>1</dim>
 
601
  </output>
602
  </layer>
603
  <layer id="43" name="/rnn/Constant_9" type="Const" version="opset1">
604
+ <data element_type="i64" shape="1" offset="17045832" size="8" />
605
  <output>
606
  <port id="0" precision="I64" names="/rnn/Constant_9_output_0">
607
  <dim>1</dim>
608
  </port>
609
  </output>
610
  </layer>
611
+ <layer id="44" name="Broadcast_44302" type="Const" version="opset1">
612
+ <data element_type="i64" shape="1" offset="10487072" size="8" />
613
  <output>
614
  <port id="0" precision="I64">
615
  <dim>1</dim>
 
617
  </output>
618
  </layer>
619
  <layer id="45" name="/rnn/Constant_7" type="Const" version="opset1">
620
+ <data element_type="i64" shape="1" offset="10487040" size="8" />
621
  <output>
622
  <port id="0" precision="I64" names="/rnn/Constant_7_output_0">
623
  <dim>1</dim>
 
652
  </port>
653
  </output>
654
  </layer>
655
+ <layer id="47" name="Constant_44346" type="Const" version="opset1">
656
+ <data element_type="i64" shape="3" offset="10487048" size="24" />
657
  <output>
658
  <port id="0" precision="I64">
659
  <dim>3</dim>
660
  </port>
661
  </output>
662
  </layer>
663
+ <layer id="48" name="Transpose_44347" type="Transpose" version="opset1">
664
  <input>
665
  <port id="0" precision="FP32">
666
  <dim>1</dim>
 
680
  </output>
681
  </layer>
682
  <layer id="49" name="/rnn/Constant_11" type="Const" version="opset1">
683
+ <data element_type="i64" shape="1" offset="10487072" size="8" />
684
  <output>
685
  <port id="0" precision="I64" names="/rnn/Constant_11_output_0">
686
  <dim>1</dim>
 
688
  </output>
689
  </layer>
690
  <layer id="50" name="/rnn/Constant_12" type="Const" version="opset1">
691
+ <data element_type="i64" shape="1" offset="17045832" size="8" />
692
  <output>
693
  <port id="0" precision="I64" names="/rnn/Constant_12_output_0">
694
  <dim>1</dim>
695
  </port>
696
  </output>
697
  </layer>
698
+ <layer id="51" name="Broadcast_44312" type="Const" version="opset1">
699
+ <data element_type="i64" shape="1" offset="10487072" size="8" />
700
  <output>
701
  <port id="0" precision="I64">
702
  <dim>1</dim>
 
704
  </output>
705
  </layer>
706
  <layer id="52" name="/rnn/Constant_10" type="Const" version="opset1">
707
+ <data element_type="i64" shape="1" offset="10487040" size="8" />
708
  <output>
709
  <port id="0" precision="I64" names="/rnn/Constant_10_output_0">
710
  <dim>1</dim>
 
739
  </port>
740
  </output>
741
  </layer>
742
+ <layer id="54" name="Constant_44348" type="Const" version="opset1">
743
+ <data element_type="i64" shape="3" offset="10487048" size="24" />
744
  <output>
745
  <port id="0" precision="I64">
746
  <dim>3</dim>
747
  </port>
748
  </output>
749
  </layer>
750
+ <layer id="55" name="Transpose_44349" type="Transpose" version="opset1">
751
  <input>
752
  <port id="0" precision="FP32">
753
  <dim>1</dim>
 
766
  </port>
767
  </output>
768
  </layer>
769
+ <layer id="56" name="Concat_44322_compressed" type="Const" version="opset1">
770
+ <data element_type="f16" shape="1, 2560, 640" offset="17045840" size="3276800" />
771
  <output>
772
  <port id="0" precision="FP16">
773
  <dim>1</dim>
 
776
  </port>
777
  </output>
778
  </layer>
779
+ <layer id="57" name="Concat_44322" type="Convert" version="opset1">
780
  <data destination_type="f32" />
781
  <rt_info>
782
  <attribute name="decompression" version="0" />
 
796
  </port>
797
  </output>
798
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799
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  <attribute name="decompression" version="0" />
@@ -382,7 +464,7 @@
382
  <port id="1" precision="FP32" />
383
  </output>
384
  </layer>
385
- <layer id="31" name="aten::pad/Pad_1" type="Pad" version="opset1">
386
  <data pad_mode="reflect" />
387
  <input>
388
  <port id="0" precision="FP32">
@@ -399,14 +481,14 @@
399
  <port id="3" precision="FP32" />
400
  </input>
401
  <output>
402
- <port id="4" precision="FP32" names="62,input.7">
403
  <dim>1</dim>
404
  <dim>-1</dim>
405
  <dim>-1</dim>
406
  </port>
407
  </output>
408
  </layer>
409
- <layer id="32" name="aten::size/ShapeOf_2" type="ShapeOf" version="opset3">
410
  <data output_type="i64" />
411
  <input>
412
  <port id="0" precision="FP32">
@@ -421,8 +503,8 @@
421
  </port>
422
  </output>
423
  </layer>
424
- <layer id="33" name="Constant_59397" type="Const" version="opset1">
425
- <data element_type="i64" shape="2" offset="65848" size="16" />
426
  <rt_info>
427
  <attribute name="precise" version="0" />
428
  </rt_info>
@@ -432,8 +514,8 @@
432
  </port>
433
  </output>
434
  </layer>
435
- <layer id="34" name="Constant_59398" type="Const" version="opset1">
436
- <data element_type="i64" shape="" offset="65808" size="8" />
437
  <rt_info>
438
  <attribute name="precise" version="0" />
439
  </rt_info>
@@ -441,7 +523,7 @@
441
  <port id="0" precision="I64" />
442
  </output>
443
  </layer>
444
- <layer id="35" name="Gather_59399" type="Gather" version="opset8">
445
  <data batch_dims="0" />
446
  <input>
447
  <port id="0" precision="I64">
@@ -458,7 +540,7 @@
458
  </port>
459
  </output>
460
  </layer>
461
- <layer id="36" name="aten::view/Reshape_1" type="Reshape" version="opset1">
462
  <data special_zero="false" />
463
  <input>
464
  <port id="0" precision="FP32">
@@ -471,21 +553,21 @@
471
  </port>
472
  </input>
473
  <output>
474
- <port id="2" precision="FP32" names="72,input">
475
  <dim>-1</dim>
476
  <dim>-1</dim>
477
  </port>
478
  </output>
479
  </layer>
480
- <layer id="37" name="self.window_compressed" type="Const" version="opset1">
481
- <data element_type="f16" shape="400" offset="65864" size="800" />
482
  <output>
483
  <port id="0" precision="FP16" names="self.window">
484
  <dim>400</dim>
485
  </port>
486
  </output>
487
  </layer>
488
- <layer id="38" name="self.window" type="Convert" version="opset1">
489
  <data destination_type="f32" />
490
  <rt_info>
491
  <attribute name="decompression" version="0" />
@@ -501,19 +583,19 @@
501
  </port>
502
  </output>
503
  </layer>
504
- <layer id="39" name="73" type="Const" version="opset1">
505
- <data element_type="i64" shape="" offset="66664" size="8" />
506
  <output>
507
- <port id="0" precision="I64" names="73" />
508
  </output>
509
  </layer>
510
- <layer id="40" name="74" type="Const" version="opset1">
511
- <data element_type="i64" shape="" offset="66672" size="8" />
512
  <output>
513
- <port id="0" precision="I64" names="74" />
514
  </output>
515
  </layer>
516
- <layer id="41" name="aten::stft/STFT" type="STFT" version="opset15">
517
  <data transpose_frames="true" />
518
  <input>
519
  <port id="0" precision="FP32">
@@ -527,7 +609,7 @@
527
  <port id="3" precision="I64" />
528
  </input>
529
  <output>
530
- <port id="4" precision="FP32" names="79,x.1">
531
  <dim>-1</dim>
532
  <dim>257</dim>
533
  <dim>-1</dim>
@@ -535,8 +617,8 @@
535
  </port>
536
  </output>
537
  </layer>
538
- <layer id="42" name="Constant_59621_compressed" type="Const" version="opset1">
539
- <data element_type="f16" shape="1, 1, 1, 1" offset="66680" size="2" />
540
  <output>
541
  <port id="0" precision="FP16">
542
  <dim>1</dim>
@@ -546,7 +628,7 @@
546
  </port>
547
  </output>
548
  </layer>
549
- <layer id="43" name="Constant_59621" type="Convert" version="opset1">
550
  <data destination_type="f32" />
551
  <rt_info>
552
  <attribute name="decompression" version="0" />
@@ -568,7 +650,7 @@
568
  </port>
569
  </output>
570
  </layer>
571
- <layer id="44" name="aten::pow/Power" type="Power" version="opset1">
572
  <data auto_broadcast="numpy" />
573
  <input>
574
  <port id="0" precision="FP32">
@@ -585,7 +667,7 @@
585
  </port>
586
  </input>
587
  <output>
588
- <port id="2" precision="FP32" names="81">
589
  <dim>-1</dim>
590
  <dim>257</dim>
591
  <dim>-1</dim>
@@ -593,15 +675,15 @@
593
  </port>
594
  </output>
595
  </layer>
596
- <layer id="45" name="Constant_57056" type="Const" version="opset1">
597
- <data element_type="i64" shape="1" offset="65818" size="8" />
598
  <output>
599
- <port id="0" precision="I64" names="83">
600
  <dim>1</dim>
601
  </port>
602
  </output>
603
  </layer>
604
- <layer id="46" name="aten::sum/ReduceSum" type="ReduceSum" version="opset1">
605
  <data keep_dims="false" />
606
  <input>
607
  <port id="0" precision="FP32">
@@ -615,14 +697,14 @@
615
  </port>
616
  </input>
617
  <output>
618
- <port id="2" precision="FP32" names="86,89">
619
  <dim>-1</dim>
620
  <dim>257</dim>
621
  <dim>-1</dim>
622
  </port>
623
  </output>
624
  </layer>
625
- <layer id="47" name="aten::sqrt/Sqrt" type="Sqrt" version="opset1">
626
  <input>
627
  <port id="0" precision="FP32">
628
  <dim>-1</dim>
@@ -631,15 +713,15 @@
631
  </port>
632
  </input>
633
  <output>
634
- <port id="1" precision="FP32" names="90,x.3">
635
  <dim>-1</dim>
636
  <dim>257</dim>
637
  <dim>-1</dim>
638
  </port>
639
  </output>
640
  </layer>
641
- <layer id="48" name="Constant_59622_compressed" type="Const" version="opset1">
642
- <data element_type="f16" shape="1, 1, 1" offset="66680" size="2" />
643
  <output>
644
  <port id="0" precision="FP16">
645
  <dim>1</dim>
@@ -648,7 +730,7 @@
648
  </port>
649
  </output>
650
  </layer>
651
- <layer id="49" name="Constant_59622" type="Convert" version="opset1">
652
  <data destination_type="f32" />
653
  <rt_info>
654
  <attribute name="decompression" version="0" />
@@ -668,7 +750,7 @@
668
  </port>
669
  </output>
670
  </layer>
671
- <layer id="50" name="aten::pow/Power_1" type="Power" version="opset1">
672
  <data auto_broadcast="numpy" />
673
  <input>
674
  <port id="0" precision="FP32">
@@ -683,14 +765,14 @@
683
  </port>
684
  </input>
685
  <output>
686
- <port id="2" precision="FP32" names="92,x.5">
687
  <dim>-1</dim>
688
  <dim>257</dim>
689
  <dim>-1</dim>
690
  </port>
691
  </output>
692
  </layer>
693
- <layer id="51" name="aten::matmul/MatMul" type="MatMul" version="opset1">
694
  <data transpose_a="false" transpose_b="false" />
695
  <input>
696
  <port id="0" precision="FP32">
@@ -705,15 +787,15 @@
705
  </port>
706
  </input>
707
  <output>
708
- <port id="2" precision="FP32" names="93,x.7">
709
  <dim>-1</dim>
710
  <dim>128</dim>
711
  <dim>-1</dim>
712
  </port>
713
  </output>
714
  </layer>
715
- <layer id="52" name="Constant_59623_compressed" type="Const" version="opset1">
716
- <data element_type="f16" shape="1, 1, 1" offset="66682" size="2" />
717
  <output>
718
  <port id="0" precision="FP16">
719
  <dim>1</dim>
@@ -722,7 +804,7 @@
722
  </port>
723
  </output>
724
  </layer>
725
- <layer id="53" name="Constant_59623" type="Convert" version="opset1">
726
  <data destination_type="f32" />
727
  <rt_info>
728
  <attribute name="decompression" version="0" />
@@ -742,7 +824,7 @@
742
  </port>
743
  </output>
744
  </layer>
745
- <layer id="54" name="aten::add/Add_3" type="Add" version="opset1">
746
  <data auto_broadcast="numpy" />
747
  <input>
748
  <port id="0" precision="FP32">
@@ -757,14 +839,14 @@
757
  </port>
758
  </input>
759
  <output>
760
- <port id="2" precision="FP32" names="96">
761
  <dim>-1</dim>
762
  <dim>128</dim>
763
  <dim>-1</dim>
764
  </port>
765
  </output>
766
  </layer>
767
- <layer id="55" name="aten::log/Log" type="Log" version="opset1">
768
  <input>
769
  <port id="0" precision="FP32">
770
  <dim>-1</dim>
@@ -773,198 +855,276 @@
773
  </port>
774
  </input>
775
  <output>
776
- <port id="1" precision="FP32" names="97,x">
777
  <dim>-1</dim>
778
  <dim>128</dim>
779
  <dim>-1</dim>
780
  </port>
781
  </output>
782
  </layer>
783
- <layer id="56" name="Constant_57103" type="Const" version="opset1">
784
- <data element_type="i64" shape="1" offset="66684" size="8" />
785
- <output>
786
- <port id="0" precision="I64" names="99">
787
- <dim>1</dim>
788
- </port>
789
- </output>
790
- </layer>
791
- <layer id="57" name="aten::mean/ReduceMean" type="ReduceMean" version="opset1">
792
- <data keep_dims="true" />
793
  <input>
794
  <port id="0" precision="FP32">
795
  <dim>-1</dim>
796
  <dim>128</dim>
797
  <dim>-1</dim>
798
  </port>
799
- <port id="1" precision="I64">
800
- <dim>1</dim>
801
- </port>
802
  </input>
803
  <output>
804
- <port id="2" precision="FP32" names="102,x_mean">
805
- <dim>-1</dim>
806
- <dim>128</dim>
807
- <dim>1</dim>
808
  </port>
809
  </output>
810
  </layer>
811
- <layer id="58" name="aten::sub/Subtract_2" type="Subtract" version="opset1">
812
- <data auto_broadcast="numpy" />
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
813
  <input>
814
- <port id="0" precision="FP32">
815
- <dim>-1</dim>
816
- <dim>128</dim>
817
- <dim>-1</dim>
818
- </port>
819
- <port id="1" precision="FP32">
820
- <dim>-1</dim>
821
- <dim>128</dim>
822
- <dim>1</dim>
823
  </port>
 
 
824
  </input>
825
  <output>
826
- <port id="2" precision="FP32" names="112">
827
- <dim>-1</dim>
828
- <dim>128</dim>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
829
  <dim>-1</dim>
830
  </port>
831
  </output>
832
  </layer>
833
- <layer id="59" name="aten::std/Multiply" type="Multiply" version="opset1">
834
- <data auto_broadcast="numpy" />
835
  <input>
836
  <port id="0" precision="FP32">
837
  <dim>-1</dim>
838
- <dim>128</dim>
839
- <dim>-1</dim>
840
- </port>
841
- <port id="1" precision="FP32">
842
- <dim>-1</dim>
843
- <dim>128</dim>
844
- <dim>-1</dim>
845
  </port>
846
  </input>
847
  <output>
848
- <port id="2" precision="FP32">
849
- <dim>-1</dim>
850
- <dim>128</dim>
851
  <dim>-1</dim>
852
  </port>
853
  </output>
854
  </layer>
855
- <layer id="60" name="Constant_57111" type="Const" version="opset1">
856
- <data element_type="i64" shape="1" offset="66684" size="8" />
857
  <output>
858
- <port id="0" precision="I64" names="104">
859
- <dim>1</dim>
860
- </port>
861
  </output>
862
  </layer>
863
- <layer id="61" name="aten::std/ReduceMean_1" type="ReduceMean" version="opset1">
864
- <data keep_dims="true" />
865
  <input>
866
- <port id="0" precision="FP32">
867
- <dim>-1</dim>
868
- <dim>128</dim>
869
  <dim>-1</dim>
870
  </port>
871
- <port id="1" precision="I64">
872
- <dim>1</dim>
873
- </port>
874
  </input>
875
  <output>
876
- <port id="2" precision="FP32">
877
- <dim>-1</dim>
878
- <dim>128</dim>
879
  <dim>1</dim>
 
880
  </port>
881
  </output>
882
  </layer>
883
- <layer id="62" name="aten::std/ShapeOf" type="ShapeOf" version="opset3">
884
- <data output_type="i32" />
885
- <input>
886
- <port id="0" precision="FP32">
887
- <dim>-1</dim>
888
- <dim>128</dim>
889
- <dim>-1</dim>
890
- </port>
891
- </input>
892
  <output>
893
- <port id="1" precision="I32">
894
- <dim>3</dim>
895
  </port>
896
  </output>
897
  </layer>
898
- <layer id="63" name="aten::std/Constant" type="Const" version="opset1">
899
- <data element_type="i32" shape="" offset="66692" size="4" />
 
 
 
900
  <output>
901
- <port id="0" precision="I32" />
902
  </output>
903
  </layer>
904
- <layer id="64" name="aten::std/Gather" type="Gather" version="opset8">
905
  <data batch_dims="0" />
906
  <input>
907
- <port id="0" precision="I32">
908
- <dim>3</dim>
909
  </port>
910
  <port id="1" precision="I64">
911
  <dim>1</dim>
912
  </port>
913
- <port id="2" precision="I32" />
914
  </input>
915
  <output>
916
- <port id="3" precision="I32">
917
  <dim>1</dim>
918
  </port>
919
  </output>
920
  </layer>
921
- <layer id="65" name="aten::std/ReduceProd" type="ReduceProd" version="opset1">
922
- <data keep_dims="false" />
 
 
 
 
 
 
 
 
 
 
 
923
  <input>
924
- <port id="0" precision="I32">
 
925
  <dim>1</dim>
926
  </port>
927
- <port id="1" precision="I32" />
928
  </input>
929
  <output>
930
- <port id="2" precision="I32" />
 
 
931
  </output>
932
  </layer>
933
- <layer id="66" name="aten::std/ConvertLike" type="Convert" version="opset1">
934
- <data destination_type="f32" />
935
  <input>
936
- <port id="0" precision="I32" />
 
 
 
 
 
937
  </input>
938
  <output>
939
- <port id="1" precision="FP32" />
 
 
940
  </output>
941
  </layer>
942
- <layer id="67" name="aten::std/Multiply_1" type="Multiply" version="opset1">
943
- <data auto_broadcast="numpy" />
944
  <input>
945
- <port id="0" precision="FP32">
946
- <dim>-1</dim>
947
- <dim>128</dim>
948
  <dim>1</dim>
 
 
 
 
949
  </port>
950
- <port id="1" precision="FP32" />
951
  </input>
952
  <output>
953
- <port id="2" precision="FP32">
 
954
  <dim>-1</dim>
955
- <dim>128</dim>
956
- <dim>1</dim>
957
  </port>
958
  </output>
959
  </layer>
960
- <layer id="68" name="Constant_59595_compressed" type="Const" version="opset1">
961
- <data element_type="f16" shape="" offset="66696" size="2" />
962
  <output>
963
- <port id="0" precision="FP16" />
964
  </output>
965
  </layer>
966
- <layer id="69" name="Constant_59595" type="Convert" version="opset1">
967
- <data destination_type="f32" />
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
968
  <rt_info>
969
  <attribute name="decompression" version="0" />
970
  </rt_info>
@@ -975,52 +1135,237 @@
975
  <port id="1" precision="FP32" />
976
  </output>
977
  </layer>
978
- <layer id="70" name="aten::std/Subtract_1" type="Add" version="opset1">
979
  <data auto_broadcast="numpy" />
980
  <input>
981
- <port id="0" precision="FP32" />
982
- <port id="1" precision="FP32" />
 
 
 
 
 
 
 
 
 
983
  </input>
984
  <output>
985
- <port id="2" precision="FP32" />
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
986
  </output>
987
  </layer>
988
- <layer id="71" name="aten::std/Divide" type="Divide" version="opset1">
989
  <data auto_broadcast="numpy" m_pythondiv="true" />
990
  <input>
991
  <port id="0" precision="FP32">
992
  <dim>-1</dim>
993
  <dim>128</dim>
 
 
 
994
  <dim>1</dim>
995
  </port>
996
- <port id="1" precision="FP32" />
997
  </input>
998
  <output>
999
- <port id="2" precision="FP32">
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1000
  <dim>-1</dim>
1001
  <dim>128</dim>
1002
  <dim>1</dim>
1003
  </port>
1004
  </output>
1005
  </layer>
1006
- <layer id="72" name="aten::std/Sqrt" type="Sqrt" version="opset1">
 
1007
  <input>
1008
  <port id="0" precision="FP32">
 
 
 
 
 
1009
  <dim>-1</dim>
1010
  <dim>128</dim>
1011
  <dim>1</dim>
1012
  </port>
1013
  </input>
1014
  <output>
1015
- <port id="1" precision="FP32" names="107,x_std.1">
1016
  <dim>-1</dim>
1017
  <dim>128</dim>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1018
  <dim>1</dim>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1019
  </port>
1020
  </output>
1021
  </layer>
1022
- <layer id="73" name="Constant_59624_compressed" type="Const" version="opset1">
1023
- <data element_type="f16" shape="1, 1, 1" offset="66698" size="2" />
1024
  <output>
1025
  <port id="0" precision="FP16">
1026
  <dim>1</dim>
@@ -1029,7 +1374,7 @@
1029
  </port>
1030
  </output>
1031
  </layer>
1032
- <layer id="74" name="Constant_59624" type="Convert" version="opset1">
1033
  <data destination_type="f32" />
1034
  <rt_info>
1035
  <attribute name="decompression" version="0" />
@@ -1049,29 +1394,203 @@
1049
  </port>
1050
  </output>
1051
  </layer>
1052
- <layer id="75" name="aten::add/Add_4" type="Add" version="opset1">
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1053
  <data auto_broadcast="numpy" />
1054
  <input>
1055
  <port id="0" precision="FP32">
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1056
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1057
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1058
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1059
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1060
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1061
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1062
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1063
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1064
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1065
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1066
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1067
- <port id="2" precision="FP32" names="110,x_std">
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1068
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1069
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1070
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1071
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1072
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1073
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1075
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1076
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1077
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@@ -1086,14 +1605,191 @@
1086
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1087
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1088
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1089
  <port id="2" precision="FP32">
1090
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1091
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1092
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1093
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1094
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1095
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1096
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1097
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1098
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1099
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1103
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1104
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1106
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1107
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1108
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1109
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1110
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1201
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1202
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1204
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1205
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1206
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20
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24
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54
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55
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56
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57
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60
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62
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63
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64
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65
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73
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103
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104
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107
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108
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109
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110
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111
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112
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113
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127
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128
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129
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130
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132
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133
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134
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135
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136
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138
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139
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140
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141
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142
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155
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156
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157
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158
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159
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160
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161
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162
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163
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164
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165
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166
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167
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168
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169
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170
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171
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172
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174
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175
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176
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177
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178
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180
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181
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183
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184
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186
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194
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204
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205
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206
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207
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208
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209
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210
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211
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212
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213
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214
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215
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216
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217
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218
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219
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223
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225
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226
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227
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228
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229
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230
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231
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232
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233
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234
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235
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236
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237
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238
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239
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240
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241
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242
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243
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244
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245
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246
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247
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248
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249
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250
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251
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252
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253
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254
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255
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256
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257
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258
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259
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260
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261
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262
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263
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264
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265
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266
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267
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268
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269
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270
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271
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285
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286
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287
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288
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289
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290
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291
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292
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293
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294
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295
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296
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297
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298
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300
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301
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302
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303
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304
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305
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306
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318
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319
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320
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321
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322
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323
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324
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331
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332
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333
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334
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335
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336
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337
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338
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339
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340
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341
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342
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343
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350
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351
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352
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353
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354
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355
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358
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359
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361
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1794
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1795
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1798
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1799
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1800
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1801
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1954
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1955
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1956
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1957
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1958
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1959
  <rt_info>
1960
+ <Runtime_version value="2025.3.0-19807-44526285f24-releases/2025/3" />
1961
  <conversion_parameters>
1962
  <framework value="pytorch" />
1963
  <is_python_object value="True" />
parakeet_vocab.json ADDED
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