Hugging Face's logo

nanotron
/
old_bench

Model card Files Community
old_bench
File size: 176,453 Bytes 
1b21f93
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
1001
1002
1003
1004
1005
1006
1007
1008
1009
1010
1011
1012
1013
1014
1015
1016
1017
1018
1019
1020
1021
1022
1023
1024
1025
1026
1027
1028
1029
1030
1031
1032
1033
1034
1035
1036
1037
1038
1039
1040
1041
1042
1043
1044
1045
1046
1047
1048
1049
1050
1051
1052
1053
1054
1055
1056
1057
1058
1059
1060
1061
1062
1063
1064
1065
1066
1067
1068
1069
1070
1071
1072
1073
1074
1075
1076
1077
1078
1079
1080
1081
1082
1083
1084
1085
1086
1087
1088
1089
1090
1091
1092
1093
1094
1095
1096
1097
1098
1099
1100
1101
1102
1103
1104
1105
1106
1107
1108
1109
1110
1111
1112
1113
1114
1115
1116
1117
1118
1119
1120
1121
1122
1123
1124
1125
1126
1127
1128
1129
1130
1131
1132
1133
1134
1135
1136
1137
1138
1139
1140
1141
1142
1143
1144
1145
1146
1147
1148
1149
1150
1151
1152
1153
1154
1155
1156
1157
1158
1159
1160
1161
1162
1163
1164
1165
1166
1167
1168
1169
1170
1171
1172
1173
1174
1175
1176
1177
1178
1179
1180
1181
1182
1183
1184
1185
1186
1187
1188
1189
1190
1191
1192
1193
1194
1195
1196
1197
1198
1199
1200
1201
1202
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1213
1214
1215
1216
1217
1218
1219
1220
1221
1222
1223
1224
1225
1226
1227
1228
1229
1230
1231
1232
1233
1234
1235
1236
1237
1238
1239
1240
1241
1242
1243
1244
1245
1246
1247
1248
1249
1250
1251
1252
1253
1254
1255
1256
1257
1258
1259
1260
1261
1262
1263
1264
1265
1266
1267
1268
1269
1270
1271
1272
1273
1274
1275
1276
1277
1278
1279
1280
1281
1282
1283
1284
1285
1286
1287
1288
1289
1290
1291
1292
1293
1294
1295
1296
1297
1298
1299
 
========================
START TIME: Tue Jul  2 16:31:11 UTC 2024
python3 version = Python 3.10.14
========================
The token has not been saved to the git credentials helper. Pass `add_to_git_credential=True` in this function directly or `--add-to-git-credential` if using via `huggingface-cli` if you want to set the git credential as well.
Token is valid (permission: write).
Your token has been saved to /admin/home/ferdinand_mom/.cache/huggingface/token
Login successful
Already on 'bench_cluster'
M	examples/config_tiny_llama.py
M	examples/config_tiny_llama.yaml
M	examples/train_tiny_llama.sh
M	src/nanotron/models/llama.py
M	src/nanotron/trainer.py
Your branch is up to date with 'origin/bench_cluster'.
Job status: RUNNING
W0702 16:31:14.451000 139887760140096 torch/distributed/run.py:757] 
W0702 16:31:14.451000 139887760140096 torch/distributed/run.py:757] *****************************************
W0702 16:31:14.451000 139887760140096 torch/distributed/run.py:757] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
W0702 16:31:14.451000 139887760140096 torch/distributed/run.py:757] *****************************************
W0702 16:31:14.467000 140453364602688 torch/distributed/run.py:757] 
W0702 16:31:14.467000 140453364602688 torch/distributed/run.py:757] *****************************************
W0702 16:31:14.467000 140453364602688 torch/distributed/run.py:757] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
W0702 16:31:14.467000 140453364602688 torch/distributed/run.py:757] *****************************************
[default0]:07/02/2024 16:31:32 [WARNING|DP=0|PP=0|TP=0|ip-26-0-160-192]: [Vocab Size Padding] Padded vocab (size: 50257) with 1 dummy tokens (new size: 50258)
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]: Config:
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]: Config(general=GeneralArgs(project='bench_cluster',
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                            run='%date_%jobid',
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                            seed=42,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                            step=None,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                            consumed_train_samples=None,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                            benchmark_csv_path=None,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                            ignore_sanity_checks=True),
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:        parallelism=ParallelismArgs(dp=1,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                    pp=8,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                    tp=2,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                    pp_engine=<nanotron.parallel.pipeline_parallel.engine.OneForwardOneBackwardPipelineEngine object at 0x7f0b9aa68730>,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                    tp_mode=<TensorParallelLinearMode.REDUCE_SCATTER: 2>,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                    tp_linear_async_communication=False,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                    expert_parallel_size=1),
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:        model=ModelArgs(model_config=LlamaConfig(bos_token_id=1,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                 eos_token_id=2,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                 hidden_act='silu',
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                 hidden_size=2048,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                 initializer_range=0.02,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                 intermediate_size=4096,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                 is_llama_config=True,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                 max_position_embeddings=4096,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                 num_attention_heads=32,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                 num_hidden_layers=24,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                 num_key_value_heads=32,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                 pad_token_id=None,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                 pretraining_tp=1,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                 rms_norm_eps=1e-05,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                 rope_scaling=None,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                 rope_theta=10000.0,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                 tie_word_embeddings=True,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                 use_cache=True,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                 vocab_size=50258),
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                        init_method=RandomInit(std=0.025),
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                        dtype=torch.bfloat16,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                        make_vocab_size_divisible_by=1,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                        ddp_bucket_cap_mb=25),
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:        tokenizer=TokenizerArgs(tokenizer_name_or_path='openai-community/gpt2',
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                tokenizer_revision=None,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                tokenizer_max_length=None),
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:        checkpoints=CheckpointsArgs(checkpoints_path=Path('/dev/null'),
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                    checkpoint_interval=100000,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                    save_initial_state=False,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                    resume_checkpoint_path=None,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                    checkpoints_path_is_shared_file_system=False),
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:        logging=LoggingArgs(log_level='info',
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                            log_level_replica='info',
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                            iteration_step_info_interval=1),
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:        tokens=TokensArgs(sequence_length=4096,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                          train_steps=20,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                          micro_batch_size=128,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                          batch_accumulation_per_replica=8,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                          val_check_interval=-1,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                          limit_val_batches=0,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                          limit_test_batches=0),
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:        optimizer=OptimizerArgs(optimizer_factory=AdamWOptimizerArgs(adam_eps=1e-08,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                                     adam_beta1=0.9,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                                     adam_beta2=0.95,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                                     torch_adam_is_fused=True,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                                     name='adamW'),
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                zero_stage=1,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                weight_decay=0.01,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                clip_grad=1.0,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                accumulate_grad_in_fp32=True,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                learning_rate_scheduler=LRSchedulerArgs(learning_rate=0.0001,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                                        lr_warmup_steps=1,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                                        lr_warmup_style='linear',
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                                        lr_decay_style='linear',
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                                        lr_decay_steps=19,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                                        lr_decay_starting_step=None,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                                        min_decay_lr=1e-05)),
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:        data_stages=[DatasetStageArgs(name='Training Stage',
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                      start_training_step=1,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                      data=DataArgs(dataset=PretrainDatasetsArgs(hf_dataset_or_datasets='roneneldan/TinyStories',
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                                                 hf_dataset_splits='train',
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                                                 hf_dataset_config_name=None,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                                                 dataset_processing_num_proc_per_process=64,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                                                 dataset_overwrite_cache=False,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                                                 text_column_name='text'),
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                    seed=42,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:                                                    num_loading_workers=32))],
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:        profiler=ProfilerArgs(profiler_export_path=Path('/fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/16_GPUS/dp-1_tp-2_pp-8_mbz-128')),
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:        lighteval=None)
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]: Model Config:
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]: LlamaConfig(bos_token_id=1,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:             eos_token_id=2,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:             hidden_act='silu',
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:             hidden_size=2048,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:             initializer_range=0.02,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:             intermediate_size=4096,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:             is_llama_config=True,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:             max_position_embeddings=4096,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:             num_attention_heads=32,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:             num_hidden_layers=24,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:             num_key_value_heads=32,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:             pad_token_id=None,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:             pretraining_tp=1,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:             rms_norm_eps=1e-05,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:             rope_scaling=None,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:             rope_theta=10000.0,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:             tie_word_embeddings=True,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:             use_cache=True,
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:             vocab_size=50258)
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]: Building model..
[default0]:07/02/2024 16:31:32 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]: Setting PP block ranks...
[default0]:07/02/2024 16:31:48 [INFO|DP=0|PP=4|TP=0|ip-26-0-162-233]: Local number of parameters: 62.9M (120.02MiB)
[default0]:07/02/2024 16:31:48 [INFO|DP=0|PP=4|TP=0|ip-26-0-162-233]: [After model building] Memory usage: 123.03MiB. Peak allocated: 125.06MiB Peak reserved: 138.00MiB
[default0]:07/02/2024 16:31:48 [INFO|DP=0|PP=4|TP=0|ip-26-0-162-233]: No checkpoint path provided.
[default1]:07/02/2024 16:31:48 [INFO|DP=0|PP=0|TP=1|ip-26-0-160-192]: Local number of parameters: 135M (258.19MiB)
[default1]:07/02/2024 16:31:48 [INFO|DP=0|PP=0|TP=1|ip-26-0-160-192]: [After model building] Memory usage: 262.20MiB. Peak allocated: 264.23MiB Peak reserved: 280.00MiB
[default1]:07/02/2024 16:31:48 [INFO|DP=0|PP=0|TP=1|ip-26-0-160-192]: No checkpoint path provided.
[default2]:07/02/2024 16:31:48 [INFO|DP=0|PP=1|TP=0|ip-26-0-160-192]: Local number of parameters: 62.9M (120.02MiB)
[default2]:07/02/2024 16:31:48 [INFO|DP=0|PP=1|TP=0|ip-26-0-160-192]: [After model building] Memory usage: 123.03MiB. Peak allocated: 125.06MiB Peak reserved: 138.00MiB
[default2]:07/02/2024 16:31:48 [INFO|DP=0|PP=1|TP=0|ip-26-0-160-192]: No checkpoint path provided.
[default3]:07/02/2024 16:31:48 [INFO|DP=0|PP=1|TP=1|ip-26-0-160-192]: Local number of parameters: 62.9M (120.02MiB)
[default3]:07/02/2024 16:31:48 [INFO|DP=0|PP=1|TP=1|ip-26-0-160-192]: [After model building] Memory usage: 123.03MiB. Peak allocated: 125.06MiB Peak reserved: 138.00MiB
[default3]:07/02/2024 16:31:48 [INFO|DP=0|PP=1|TP=1|ip-26-0-160-192]: No checkpoint path provided.
[default7]:07/02/2024 16:31:48 [INFO|DP=0|PP=3|TP=1|ip-26-0-160-192]: Local number of parameters: 83.9M (160.03MiB)
[default7]:07/02/2024 16:31:48 [INFO|DP=0|PP=3|TP=1|ip-26-0-160-192]: [After model building] Memory usage: 164.04MiB. Peak allocated: 166.07MiB Peak reserved: 180.00MiB
[default7]:07/02/2024 16:31:48 [INFO|DP=0|PP=3|TP=1|ip-26-0-160-192]: No checkpoint path provided.
[default1]:07/02/2024 16:31:48 [INFO|DP=0|PP=4|TP=1|ip-26-0-162-233]: Local number of parameters: 62.9M (120.02MiB)
[default1]:07/02/2024 16:31:48 [INFO|DP=0|PP=4|TP=1|ip-26-0-162-233]: [After model building] Memory usage: 123.03MiB. Peak allocated: 125.06MiB Peak reserved: 138.00MiB
[default1]:07/02/2024 16:31:48 [INFO|DP=0|PP=4|TP=1|ip-26-0-162-233]: No checkpoint path provided.
[default6]:07/02/2024 16:31:48 [INFO|DP=0|PP=7|TP=0|ip-26-0-162-233]: Local number of parameters: 51.5M (98.16MiB)
[default6]:07/02/2024 16:31:48 [INFO|DP=0|PP=7|TP=0|ip-26-0-162-233]: [After model building] Memory usage: 98.17MiB. Peak allocated: 98.18MiB Peak reserved: 102.00MiB
[default6]:07/02/2024 16:31:48 [INFO|DP=0|PP=7|TP=0|ip-26-0-162-233]: No checkpoint path provided.
[default5]:07/02/2024 16:31:48 [INFO|DP=0|PP=2|TP=1|ip-26-0-160-192]: Local number of parameters: 62.9M (120.02MiB)
[default5]:07/02/2024 16:31:48 [INFO|DP=0|PP=2|TP=1|ip-26-0-160-192]: [After model building] Memory usage: 123.03MiB. Peak allocated: 125.06MiB Peak reserved: 138.00MiB
[default5]:07/02/2024 16:31:48 [INFO|DP=0|PP=2|TP=1|ip-26-0-160-192]: No checkpoint path provided.
[default5]:07/02/2024 16:31:48 [INFO|DP=0|PP=6|TP=1|ip-26-0-162-233]: Local number of parameters: 83.9M (160.03MiB)
[default5]:07/02/2024 16:31:48 [INFO|DP=0|PP=6|TP=1|ip-26-0-162-233]: [After model building] Memory usage: 164.04MiB. Peak allocated: 166.07MiB Peak reserved: 180.00MiB
[default5]:07/02/2024 16:31:48 [INFO|DP=0|PP=6|TP=1|ip-26-0-162-233]: No checkpoint path provided.
[default2]:07/02/2024 16:31:48 [INFO|DP=0|PP=5|TP=0|ip-26-0-162-233]: Local number of parameters: 62.9M (120.02MiB)
[default2]:07/02/2024 16:31:48 [INFO|DP=0|PP=5|TP=0|ip-26-0-162-233]: [After model building] Memory usage: 123.03MiB. Peak allocated: 125.06MiB Peak reserved: 138.00MiB
[default2]:07/02/2024 16:31:48 [INFO|DP=0|PP=5|TP=0|ip-26-0-162-233]: No checkpoint path provided.
[default6]:07/02/2024 16:31:48 [INFO|DP=0|PP=3|TP=0|ip-26-0-160-192]: Local number of parameters: 83.9M (160.03MiB)
[default6]:07/02/2024 16:31:48 [INFO|DP=0|PP=3|TP=0|ip-26-0-160-192]: [After model building] Memory usage: 164.04MiB. Peak allocated: 166.07MiB Peak reserved: 180.00MiB
[default0]:07/02/2024 16:31:48 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]: Total number of parameters: 1.21G (2313.02MiB)
[default6]:07/02/2024 16:31:48 [INFO|DP=0|PP=3|TP=0|ip-26-0-160-192]: No checkpoint path provided.
[default0]:07/02/2024 16:31:48 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]: Local number of parameters: 135M (258.19MiB)
[default0]:07/02/2024 16:31:48 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]: [After model building] Memory usage: 262.20MiB. Peak allocated: 264.23MiB Peak reserved: 280.00MiB
[default0]:07/02/2024 16:31:48 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]: No checkpoint path provided.
[default0]:07/02/2024 16:31:48 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]: Parametrizing model parameters using StandardParametrizator
[default7]:07/02/2024 16:31:48 [INFO|DP=0|PP=7|TP=1|ip-26-0-162-233]: Local number of parameters: 51.5M (98.16MiB)
[default7]:07/02/2024 16:31:48 [INFO|DP=0|PP=7|TP=1|ip-26-0-162-233]: [After model building] Memory usage: 98.17MiB. Peak allocated: 98.18MiB Peak reserved: 102.00MiB
[default7]:07/02/2024 16:31:48 [INFO|DP=0|PP=7|TP=1|ip-26-0-162-233]: No checkpoint path provided.
[default3]:07/02/2024 16:31:48 [INFO|DP=0|PP=5|TP=1|ip-26-0-162-233]: Local number of parameters: 62.9M (120.02MiB)
[default3]:07/02/2024 16:31:48 [INFO|DP=0|PP=5|TP=1|ip-26-0-162-233]: [After model building] Memory usage: 123.03MiB. Peak allocated: 125.06MiB Peak reserved: 138.00MiB
[default4]:07/02/2024 16:31:48 [INFO|DP=0|PP=2|TP=0|ip-26-0-160-192]: Local number of parameters: 62.9M (120.02MiB)
[default4]:07/02/2024 16:31:48 [INFO|DP=0|PP=2|TP=0|ip-26-0-160-192]: [After model building] Memory usage: 123.03MiB. Peak allocated: 125.06MiB Peak reserved: 138.00MiB
[default4]:07/02/2024 16:31:48 [INFO|DP=0|PP=2|TP=0|ip-26-0-160-192]: No checkpoint path provided.
[default3]:07/02/2024 16:31:48 [INFO|DP=0|PP=5|TP=1|ip-26-0-162-233]: No checkpoint path provided.
[default4]:07/02/2024 16:31:48 [INFO|DP=0|PP=6|TP=0|ip-26-0-162-233]: Local number of parameters: 83.9M (160.03MiB)
[default4]:07/02/2024 16:31:48 [INFO|DP=0|PP=6|TP=0|ip-26-0-162-233]: [After model building] Memory usage: 164.04MiB. Peak allocated: 166.07MiB Peak reserved: 180.00MiB
[default4]:07/02/2024 16:31:48 [INFO|DP=0|PP=6|TP=0|ip-26-0-162-233]: No checkpoint path provided.
[default0]:07/02/2024 16:31:49 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]: [Optimizer Building] Using LearningRateForSP as learning rate
[default0]:07/02/2024 16:31:49 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]: [ZeRO sharding] Size of optimizer params per rank:
[default0]:07/02/2024 16:31:49 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]: [ZeRO sharding] DP Rank 0 has 135M out of 135M (100.00%) params' optimizer states
[default0]:07/02/2024 16:31:50 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]: [Training Plan] Stage Training Stage has 19 remaining training steps and has consumed 0 samples
[default0]:07/02/2024 16:31:50 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]: Using `datasets` library
[default0]:07/02/2024 16:31:50 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]: Loading tokenizer from openai-community/gpt2 and transformers/hf_hub versions ('4.41.2', '0.23.4')
[default0]:07/02/2024 16:31:50 [WARNING|DP=0|PP=0|TP=0|ip-26-0-160-192]: Repo card metadata block was not found. Setting CardData to empty.
[default0]:Repo card metadata block was not found. Setting CardData to empty.
[default0]:07/02/2024 16:31:51 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]: [Training Plan] There are 1 training stages 
[default0]:07/02/2024 16:31:51 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]: [Stage Training Stage] start from step 1 
[default0]:07/02/2024 16:31:51 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]: 
[default0]:07/02/2024 16:31:51 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]: [Start training] datetime: 2024-07-02 16:31:51.518533 | mbs: 128 | grad_accum: 8 | global_batch_size: 1024 | sequence_length: 4096 | train_steps: 20 | start_iteration_step: 0 | consumed_train_samples: 0
[default0]:07/02/2024 16:31:51 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]: Resuming training from stage Training Stage, it has trained for 0 samples and has 19 remaining train steps
[default0]:07/02/2024 16:31:51 [INFO|DP=0|PP=0|TP=0|ip-26-0-160-192]:  Memory usage: 1294.97MiB. Peak allocated 1294.97MiB. Peak reserved: 1316.00MiB
[default0]:07/02/2024 16:31:51 [WARNING|DP=0|PP=4|TP=0|ip-26-0-162-233]: Repo card metadata block was not found. Setting CardData to empty.
[default1]:07/02/2024 16:31:51 [WARNING|DP=0|PP=0|TP=1|ip-26-0-160-192]: Repo card metadata block was not found. Setting CardData to empty.
[default3]:07/02/2024 16:31:51 [WARNING|DP=0|PP=1|TP=1|ip-26-0-160-192]: Repo card metadata block was not found. Setting CardData to empty.
[default7]:07/02/2024 16:31:51 [WARNING|DP=0|PP=3|TP=1|ip-26-0-160-192]: Repo card metadata block was not found. Setting CardData to empty.
[default3]:Repo card metadata block was not found. Setting CardData to empty.
[default0]:Repo card metadata block was not found. Setting CardData to empty.
[default5]:07/02/2024 16:31:51 [WARNING|DP=0|PP=2|TP=1|ip-26-0-160-192]: Repo card metadata block was not found. Setting CardData to empty.
[default5]:Repo card metadata block was not found. Setting CardData to empty.
[default7]:Repo card metadata block was not found. Setting CardData to empty.
[default1]:Repo card metadata block was not found. Setting CardData to empty.
[default2]:07/02/2024 16:31:51 [WARNING|DP=0|PP=1|TP=0|ip-26-0-160-192]: Repo card metadata block was not found. Setting CardData to empty.
[default4]:Repo card metadata block was not found. Setting CardData to empty.
[default2]:Repo card metadata block was not found. Setting CardData to empty.
[default2]:Repo card metadata block was not found. Setting CardData to empty.
[default6]:07/02/2024 16:31:51 [WARNING|DP=0|PP=7|TP=0|ip-26-0-162-233]: Repo card metadata block was not found. Setting CardData to empty.
[default5]:07/02/2024 16:31:51 [WARNING|DP=0|PP=6|TP=1|ip-26-0-162-233]: Repo card metadata block was not found. Setting CardData to empty.
[default1]:07/02/2024 16:31:51 [WARNING|DP=0|PP=4|TP=1|ip-26-0-162-233]: Repo card metadata block was not found. Setting CardData to empty.
[default6]:07/02/2024 16:31:51 [WARNING|DP=0|PP=3|TP=0|ip-26-0-160-192]: Repo card metadata block was not found. Setting CardData to empty.
[default2]:07/02/2024 16:31:51 [WARNING|DP=0|PP=5|TP=0|ip-26-0-162-233]: Repo card metadata block was not found. Setting CardData to empty.
[default7]:07/02/2024 16:31:51 [WARNING|DP=0|PP=7|TP=1|ip-26-0-162-233]: Repo card metadata block was not found. Setting CardData to empty.
[default4]:07/02/2024 16:31:51 [WARNING|DP=0|PP=2|TP=0|ip-26-0-160-192]: Repo card metadata block was not found. Setting CardData to empty.
[default3]:07/02/2024 16:31:51 [WARNING|DP=0|PP=5|TP=1|ip-26-0-162-233]: Repo card metadata block was not found. Setting CardData to empty.
[default3]:Repo card metadata block was not found. Setting CardData to empty.
[default5]:Repo card metadata block was not found. Setting CardData to empty.
[default4]:Repo card metadata block was not found. Setting CardData to empty.
[default6]:Repo card metadata block was not found. Setting CardData to empty.
[default7]:Repo card metadata block was not found. Setting CardData to empty.
[default1]:Repo card metadata block was not found. Setting CardData to empty.
[default6]:Repo card metadata block was not found. Setting CardData to empty.
[default4]:07/02/2024 16:31:51 [WARNING|DP=0|PP=6|TP=0|ip-26-0-162-233]: Repo card metadata block was not found. Setting CardData to empty.
[default1]:[rank1]: OSError: [Errno 122] Disk quota exceeded
[default1]:
[default1]:[rank1]: During handling of the above exception, another exception occurred:
[default1]:
[default1]:[rank1]: Traceback (most recent call last):
[default1]:[rank1]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default1]:[rank1]:     trainer.train(dataloader)
[default1]:[rank1]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default1]:[rank1]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default1]:[rank1]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default1]:[rank1]:     outputs = self.pipeline_engine.train_batch_iter(
[default1]:[rank1]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter
[default1]:[rank1]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default1]:[rank1]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default1]:[rank1]:     output = model(**micro_batch)
[default1]:[rank1]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default1]:[rank1]:     return self._call_impl(*args, **kwargs)
[default1]:[rank1]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default1]:[rank1]:     return forward_call(*args, **kwargs)
[default1]:[rank1]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default1]:[rank1]:     sharded_logits = self.model(
[default1]:[rank1]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default1]:[rank1]:     return self._call_impl(*args, **kwargs)
[default1]:[rank1]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default1]:[rank1]:     return forward_call(*args, **kwargs)
[default1]:[rank1]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default1]:[rank1]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default1]:[rank1]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default1]:[rank1]:     hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default1]:[rank1]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default1]:[rank1]:     return self._call_impl(*args, **kwargs)
[default1]:[rank1]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default1]:[rank1]:     return forward_call(*args, **kwargs)
[default1]:[rank1]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 151, in forward
[default1]:[rank1]:     output = self.pp_block(**new_kwargs)
[default1]:[rank1]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default1]:[rank1]:     return self._call_impl(*args, **kwargs)
[default1]:[rank1]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default1]:[rank1]:     return forward_call(*args, **kwargs)
[default1]:[rank1]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 629, in forward
[default1]:[rank1]:     hidden_states = self.input_layernorm(hidden_states)
[default1]:[rank1]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default1]:[rank1]:     return self._call_impl(*args, **kwargs)
[default1]:[rank1]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default1]:[rank1]:     return forward_call(*args, **kwargs)
[default1]:[rank1]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/nn/layer_norm.py", line 42, in forward
[default1]:[rank1]:     return layer_norm_fn(
[default1]:[rank1]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/flash_attn/ops/triton/layer_norm.py", line 875, in layer_norm_fn
[default1]:[rank1]:     return LayerNormFn.apply(
[default1]:[rank1]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/autograd/function.py", line 598, in apply
[default1]:[rank1]:     return super().apply(*args, **kwargs)  # type: ignore[misc]
[default1]:[rank1]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/flash_attn/ops/triton/layer_norm.py", line 748, in forward
[default1]:[rank1]:     y, y1, mean, rstd, residual_out, seeds, dropout_mask, dropout_mask1 = _layer_norm_fwd(
[default1]:[rank1]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/flash_attn/ops/triton/layer_norm.py", line 335, in _layer_norm_fwd
[default1]:[rank1]:     _layer_norm_fwd_1pass_kernel[(M,)](
[default1]:[rank1]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/jit.py", line 167, in <lambda>
[default1]:[rank1]:     return lambda *args, **kwargs: self.run(grid=grid, warmup=False, *args, **kwargs)
[default1]:[rank1]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/autotuner.py", line 143, in run
[default1]:[rank1]:     timings = {config: self._bench(*args, config=config, **kwargs) for config in pruned_configs}
[default1]:[rank1]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/autotuner.py", line 143, in <dictcomp>
[default1]:[rank1]:     timings = {config: self._bench(*args, config=config, **kwargs) for config in pruned_configs}
[default1]:[rank1]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/autotuner.py", line 122, in _bench
[default1]:[rank1]:     return do_bench(kernel_call, warmup=self.warmup, rep=self.rep, quantiles=(0.5, 0.2, 0.8))
[default1]:[rank1]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/testing.py", line 102, in do_bench
[default1]:[rank1]:     fn()
[default1]:[rank1]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/autotuner.py", line 110, in kernel_call
[default1]:[rank1]:     self.fn.run(
[default1]:[rank1]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/autotuner.py", line 305, in run
[default1]:[rank1]:     return self.fn.run(*args, **kwargs)
[default1]:[rank1]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/autotuner.py", line 305, in run
[default1]:[rank1]:     return self.fn.run(*args, **kwargs)
[default1]:[rank1]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/autotuner.py", line 305, in run
[default1]:[rank1]:     return self.fn.run(*args, **kwargs)
[default1]:[rank1]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/jit.py", line 416, in run
[default1]:[rank1]:     self.cache[device][key] = compile(
[default1]:[rank1]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/compiler/compiler.py", line 194, in compile
[default1]:[rank1]:     metadata_group[f"{src.name}.{ext}"] = fn_cache_manager.put(next_module, f"{src.name}.{ext}")
[default1]:[rank1]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/triton/runtime/cache.py", line 123, in put
[default1]:[rank1]:     with open(temp_path, mode) as f:
[default1]:[rank1]: OSError: [Errno 122] Disk quota exceeded
W0702 16:32:00.573000 139887760140096 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 886299 closing signal SIGTERM
W0702 16:32:00.578000 139887760140096 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 886301 closing signal SIGTERM
W0702 16:32:00.578000 139887760140096 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 886302 closing signal SIGTERM
W0702 16:32:00.579000 139887760140096 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 886303 closing signal SIGTERM
W0702 16:32:00.580000 139887760140096 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 886304 closing signal SIGTERM
W0702 16:32:00.580000 139887760140096 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 886305 closing signal SIGTERM
W0702 16:32:00.581000 139887760140096 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 886306 closing signal SIGTERM
[default2]:[rank10]: Traceback (most recent call last):
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default2]:[rank10]:     trainer.train(dataloader)
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default2]:[rank10]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default2]:[rank10]:     outputs = self.pipeline_engine.train_batch_iter(
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter
[default2]:[rank10]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default2]:[rank10]:     output = model(**micro_batch)
[default2]:[rank10]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default2]:[rank10]:     return self._call_impl(*args, **kwargs)
[default2]:[rank10]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default2]:[rank10]:     return forward_call(*args, **kwargs)
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default2]:[rank10]:     sharded_logits = self.model(
[default2]:[rank10]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default2]:[rank10]:     return self._call_impl(*args, **kwargs)
[default2]:[rank10]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default2]:[rank10]:     return forward_call(*args, **kwargs)
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default2]:[rank10]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default2]:[rank10]:     hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default2]:[rank10]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default2]:[rank10]:     return self._call_impl(*args, **kwargs)
[default2]:[rank10]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default2]:[rank10]:     return forward_call(*args, **kwargs)
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default2]:[rank10]:     new_kwargs[name] = recv_from_pipeline_state_buffer(
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default2]:[rank10]:     pipeline_state.run_communication()
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default2]:[rank10]:     recv_activation_tensor = recv_activation()
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default2]:[rank10]:     return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default2]:[rank10]:     buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default2]:[rank10]:     meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default2]:[rank10]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default2]:[rank10]:     dist.recv(
[default2]:[rank10]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
[default2]:[rank10]:     return func(*args, **kwargs)
[default2]:[rank10]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv
[default2]:[rank10]:     pg.recv([tensor], group_src_rank, tag).wait()
[default2]:[rank10]: torch.distributed.DistBackendError: [5] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '4:5', but store->get('4:5') got error: Connection reset by peer
[default2]:[rank10]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first):
[default2]:[rank10]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fd273d89897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default2]:[rank10]: frame #1: <unknown function> + 0x5b3a23e (0x7fd2ad8a623e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7fd2ad8a0c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7fd2ad8a0f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7fd2ad8a1fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fd2ad856371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fd2ad856371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fd2ad856371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fd2ad856371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7fd275063189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default2]:[rank10]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7fd27506a610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default2]:[rank10]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7fd275089978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default2]:[rank10]: frame #12: <unknown function> + 0x5adc309 (0x7fd2ad848309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #13: <unknown function> + 0x5ae6f10 (0x7fd2ad852f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #14: <unknown function> + 0x5ae6fa5 (0x7fd2ad852fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #15: <unknown function> + 0x5124446 (0x7fd2ace90446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #16: <unknown function> + 0x1acf4b8 (0x7fd2a983b4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #17: <unknown function> + 0x5aee004 (0x7fd2ad85a004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #18: <unknown function> + 0x5af36b5 (0x7fd2ad85f6b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default2]:[rank10]: frame #19: <unknown function> + 0xd2631e (0x7fd2c044931e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default2]:[rank10]: frame #20: <unknown function> + 0x47def4 (0x7fd2bfba0ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default2]:[rank10]: frame #21: <unknown function> + 0x1445a6 (0x560f212f65a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #22: _PyObject_MakeTpCall + 0x26b (0x560f212efa6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #23: <unknown function> + 0x150866 (0x560f21302866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x560f212eb142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #25: _PyFunction_Vectorcall + 0x6c (0x560f212f6a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #26: PyObject_Call + 0xbc (0x560f21302f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x560f212e92b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #28: _PyFunction_Vectorcall + 0x6c (0x560f212f6a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x560f212e78fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #30: <unknown function> + 0x150582 (0x560f21302582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x560f212e78fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #32: <unknown function> + 0x150582 (0x560f21302582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x560f212e78fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #34: <unknown function> + 0x150582 (0x560f21302582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x560f212e78fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x560f212eef50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #37: _PyObject_Call_Prepend + 0x69 (0x560f21300c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #38: <unknown function> + 0x211239 (0x560f213c3239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #39: _PyObject_MakeTpCall + 0x26b (0x560f212efa6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x560f212eb3e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #41: _PyFunction_Vectorcall + 0x6c (0x560f212f6a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x560f212e6c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #43: _PyFunction_Vectorcall + 0x6c (0x560f212f6a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x560f212e78fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #45: <unknown function> + 0x150582 (0x560f21302582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #46: PyObject_Call + 0xbc (0x560f21302f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x560f212e92b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #48: <unknown function> + 0x150582 (0x560f21302582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #49: PyObject_Call + 0xbc (0x560f21302f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x560f212e92b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #51: _PyFunction_Vectorcall + 0x6c (0x560f212f6a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x560f212ef007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #53: _PyObject_Call_Prepend + 0x69 (0x560f21300c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #54: <unknown function> + 0x211239 (0x560f213c3239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #55: PyObject_Call + 0x207 (0x560f21303067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x560f212e92b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #57: <unknown function> + 0x150582 (0x560f21302582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x560f212e78fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #59: <unknown function> + 0x150582 (0x560f21302582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #60: PyObject_Call + 0xbc (0x560f21302f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x560f212e92b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #62: <unknown function> + 0x150582 (0x560f21302582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: frame #63: PyObject_Call + 0xbc (0x560f21302f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default2]:[rank10]: . This may indicate a possible application crash on rank 0 or a network set up issue.
[default0]:[rank8]: Traceback (most recent call last):
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default0]:[rank8]:     trainer.train(dataloader)
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default0]:[rank8]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default0]:[rank8]:     outputs = self.pipeline_engine.train_batch_iter(
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter
[default0]:[rank8]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default0]:[rank8]:     output = model(**micro_batch)
[default0]:[rank8]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default0]:[rank8]:     return self._call_impl(*args, **kwargs)
[default0]:[rank8]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default0]:[rank8]:     return forward_call(*args, **kwargs)
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default0]:[rank8]:     sharded_logits = self.model(
[default0]:[rank8]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default0]:[rank8]:     return self._call_impl(*args, **kwargs)
[default0]:[rank8]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default0]:[rank8]:     return forward_call(*args, **kwargs)
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default0]:[rank8]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default0]:[rank8]:     hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default0]:[rank8]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default0]:[rank8]:     return self._call_impl(*args, **kwargs)
[default0]:[rank8]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default0]:[rank8]:     return forward_call(*args, **kwargs)
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default0]:[rank8]:     new_kwargs[name] = recv_from_pipeline_state_buffer(
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default0]:[rank8]:     pipeline_state.run_communication()
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default0]:[rank8]:     recv_activation_tensor = recv_activation()
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default0]:[rank8]:     return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default0]:[rank8]:     buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default0]:[rank8]:     meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default0]:[rank8]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default0]:[rank8]:     dist.recv(
[default0]:[rank8]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
[default0]:[rank8]:     return func(*args, **kwargs)
[default0]:[rank8]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv
[default0]:[rank8]:     pg.recv([tensor], group_src_rank, tag).wait()
[default0]:[rank8]: torch.distributed.DistBackendError: [4] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '3:4', but store->get('3:4') got error: Connection reset by peer
[default0]:[rank8]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first):
[default0]:[rank8]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f363d059897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default0]:[rank8]: frame #1: <unknown function> + 0x5b3a23e (0x7f3676b7623e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7f3676b70c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f3676b70f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f3676b71fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f3676b26371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f3676b26371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f3676b26371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f3676b26371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f363e333189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:[rank8]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f363e33a610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:[rank8]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7f363e359978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:[rank8]: frame #12: <unknown function> + 0x5adc309 (0x7f3676b18309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #13: <unknown function> + 0x5ae6f10 (0x7f3676b22f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #14: <unknown function> + 0x5ae6fa5 (0x7f3676b22fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #15: <unknown function> + 0x5124446 (0x7f3676160446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #16: <unknown function> + 0x1acf4b8 (0x7f3672b0b4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #17: <unknown function> + 0x5aee004 (0x7f3676b2a004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #18: <unknown function> + 0x5af36b5 (0x7f3676b2f6b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default0]:[rank8]: frame #19: <unknown function> + 0xd2631e (0x7f368971931e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default0]:[rank8]: frame #20: <unknown function> + 0x47def4 (0x7f3688e70ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default0]:[rank8]: frame #21: <unknown function> + 0x1445a6 (0x564aac4de5a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #22: _PyObject_MakeTpCall + 0x26b (0x564aac4d7a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #23: <unknown function> + 0x150866 (0x564aac4ea866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x564aac4d3142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #25: _PyFunction_Vectorcall + 0x6c (0x564aac4dea2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #26: PyObject_Call + 0xbc (0x564aac4eaf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x564aac4d12b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #28: _PyFunction_Vectorcall + 0x6c (0x564aac4dea2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x564aac4cf8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #30: <unknown function> + 0x150582 (0x564aac4ea582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x564aac4cf8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #32: <unknown function> + 0x150582 (0x564aac4ea582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x564aac4cf8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #34: <unknown function> + 0x150582 (0x564aac4ea582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x564aac4cf8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x564aac4d6f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #37: _PyObject_Call_Prepend + 0x69 (0x564aac4e8c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #38: <unknown function> + 0x211239 (0x564aac5ab239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #39: _PyObject_MakeTpCall + 0x26b (0x564aac4d7a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x564aac4d33e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #41: _PyFunction_Vectorcall + 0x6c (0x564aac4dea2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x564aac4cec5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #43: _PyFunction_Vectorcall + 0x6c (0x564aac4dea2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x564aac4cf8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #45: <unknown function> + 0x150582 (0x564aac4ea582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #46: PyObject_Call + 0xbc (0x564aac4eaf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x564aac4d12b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #48: <unknown function> + 0x150582 (0x564aac4ea582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #49: PyObject_Call + 0xbc (0x564aac4eaf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x564aac4d12b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #51: _PyFunction_Vectorcall + 0x6c (0x564aac4dea2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x564aac4d7007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #53: _PyObject_Call_Prepend + 0x69 (0x564aac4e8c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #54: <unknown function> + 0x211239 (0x564aac5ab239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #55: PyObject_Call + 0x207 (0x564aac4eb067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x564aac4d12b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #57: <unknown function> + 0x150582 (0x564aac4ea582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x564aac4cf8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #59: <unknown function> + 0x150582 (0x564aac4ea582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #60: PyObject_Call + 0xbc (0x564aac4eaf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x564aac4d12b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #62: <unknown function> + 0x150582 (0x564aac4ea582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: frame #63: PyObject_Call + 0xbc (0x564aac4eaf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default0]:[rank8]: . This may indicate a possible application crash on rank 0 or a network set up issue.
[default4]:[rank12]: Traceback (most recent call last):
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default5]:[rank13]: Traceback (most recent call last):
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default4]:[rank12]:     trainer.train(dataloader)
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default4]:[rank12]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default4]:[rank12]:     outputs = self.pipeline_engine.train_batch_iter(
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter
[default4]:[rank12]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default4]:[rank12]:     output = model(**micro_batch)
[default4]:[rank12]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default4]:[rank12]:     return self._call_impl(*args, **kwargs)
[default4]:[rank12]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default4]:[rank12]:     return forward_call(*args, **kwargs)
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default4]:[rank12]:     sharded_logits = self.model(
[default4]:[rank12]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default4]:[rank12]:     return self._call_impl(*args, **kwargs)
[default4]:[rank12]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default4]:[rank12]:     return forward_call(*args, **kwargs)
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default5]:[rank13]:     trainer.train(dataloader)
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default5]:[rank13]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default5]:[rank13]:     outputs = self.pipeline_engine.train_batch_iter(
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter
[default5]:[rank13]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default5]:[rank13]:     output = model(**micro_batch)
[default5]:[rank13]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default5]:[rank13]:     return self._call_impl(*args, **kwargs)
[default5]:[rank13]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default5]:[rank13]:     return forward_call(*args, **kwargs)
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default5]:[rank13]:     sharded_logits = self.model(
[default5]:[rank13]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default5]:[rank13]:     return self._call_impl(*args, **kwargs)
[default5]:[rank13]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default5]:[rank13]:     return forward_call(*args, **kwargs)
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default5]:[rank13]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default5]:[rank13]:     hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default5]:[rank13]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default5]:[rank13]:     return self._call_impl(*args, **kwargs)
[default5]:[rank13]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default5]:[rank13]:     return forward_call(*args, **kwargs)
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default5]:[rank13]:     new_kwargs[name] = recv_from_pipeline_state_buffer(
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default5]:[rank13]:     pipeline_state.run_communication()
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default5]:[rank13]:     recv_activation_tensor = recv_activation()
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default5]:[rank13]:     return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default5]:[rank13]:     buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default4]:[rank12]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default4]:[rank12]:     hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default5]:[rank13]:     meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default5]:[rank13]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default5]:[rank13]:     dist.recv(
[default5]:[rank13]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
[default5]:[rank13]:     return func(*args, **kwargs)
[default5]:[rank13]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv
[default5]:[rank13]:     pg.recv([tensor], group_src_rank, tag).wait()
[default5]:[rank13]: torch.distributed.DistBackendError: [6] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '5:6', but store->get('5:6') got error: Connection reset by peer
[default5]:[rank13]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first):
[default5]:[rank13]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fd330d3d897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default5]:[rank13]: frame #1: <unknown function> + 0x5b3a23e (0x7fd36a85a23e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7fd36a854c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default4]:[rank12]:     return self._call_impl(*args, **kwargs)
[default7]:[rank15]: Traceback (most recent call last):
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default3]:[rank11]: Traceback (most recent call last):
[default5]:[rank13]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7fd36a854f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7fd36a855fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fd36a80a371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fd36a80a371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fd36a80a371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fd36a80a371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7fd332017189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default5]:[rank13]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7fd33201e610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default5]:[rank13]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7fd33203d978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default5]:[rank13]: frame #12: <unknown function> + 0x5adc309 (0x7fd36a7fc309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #13: <unknown function> + 0x5ae6f10 (0x7fd36a806f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: Traceback (most recent call last):
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default7]:[rank15]:     trainer.train(dataloader)
[default5]:[rank13]: frame #14: <unknown function> + 0x5ae6fa5 (0x7fd36a806fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: Traceback (most recent call last):
[default4]:[rank12]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default1]:[rank9]:     trainer.train(dataloader)
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default4]:[rank12]:     return forward_call(*args, **kwargs)
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default5]:[rank13]: frame #15: <unknown function> + 0x5124446 (0x7fd369e44446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #16: <unknown function> + 0x1acf4b8 (0x7fd3667ef4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]:     new_kwargs[name] = recv_from_pipeline_state_buffer(
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default3]:[rank11]:     trainer.train(dataloader)
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default5]:[rank13]: frame #17: <unknown function> + 0x5aee004 (0x7fd36a80e004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #18: <unknown function> + 0x5af36b5 (0x7fd36a8136b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:[rank13]: frame #19: <unknown function> + 0xd2631e (0x7fd37d3fd31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default5]:[rank13]: frame #20: <unknown function> + 0x47def4 (0x7fd37cb54ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default5]:[rank13]: frame #21: <unknown function> + 0x1445a6 (0x5623b0cfc5a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #22: _PyObject_MakeTpCall + 0x26b (0x5623b0cf5a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #23: <unknown function> + 0x150866 (0x5623b0d08866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x5623b0cf1142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #25: _PyFunction_Vectorcall + 0x6c (0x5623b0cfca2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #26: PyObject_Call + 0xbc (0x5623b0d08f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x5623b0cef2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #28: _PyFunction_Vectorcall + 0x6c (0x5623b0cfca2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x5623b0ced8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #30: <unknown function> + 0x150582 (0x5623b0d08582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x5623b0ced8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #32: <unknown function> + 0x150582 (0x5623b0d08582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x5623b0ced8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #34: <unknown function> + 0x150582 (0x5623b0d08582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x5623b0ced8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x5623b0cf4f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #37: _PyObject_Call_Prepend + 0x69 (0x5623b0d06c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #38: <unknown function> + 0x211239 (0x5623b0dc9239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #39: _PyObject_MakeTpCall + 0x26b (0x5623b0cf5a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x5623b0cf13e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #41: _PyFunction_Vectorcall + 0x6c (0x5623b0cfca2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x5623b0cecc5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #43: _PyFunction_Vectorcall + 0x6c (0x5623b0cfca2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x5623b0ced8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #45: <unknown function> + 0x150582 (0x5623b0d08582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #46: PyObject_Call + 0xbc (0x5623b0d08f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x5623b0cef2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #48: <unknown function> + 0x150582 (0x5623b0d08582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #49: PyObject_Call + 0xbc (0x5623b0d08f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x5623b0cef2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #51: _PyFunction_Vectorcall + 0x6c (0x5623b0cfca2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x5623b0cf5007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #53: _PyObject_Call_Prepend + 0x69 (0x5623b0d06c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #54: <unknown function> + 0x211239 (0x5623b0dc9239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #55: PyObject_Call + 0x207 (0x5623b0d09067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x5623b0cef2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #57: <unknown function> + 0x150582 (0x5623b0d08582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x5623b0ced8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #59: <unknown function> + 0x150582 (0x5623b0d08582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #60: PyObject_Call + 0xbc (0x5623b0d08f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x5623b0cef2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #62: <unknown function> + 0x150582 (0x5623b0d08582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: frame #63: PyObject_Call + 0xbc (0x5623b0d08f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:[rank13]: . This may indicate a possible application crash on rank 0 or a network set up issue.
[default7]:[rank15]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default7]:[rank15]:     outputs = self.pipeline_engine.train_batch_iter(
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 278, in train_batch_iter
[default7]:[rank15]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default7]:[rank15]:     output = model(**micro_batch)
[default7]:[rank15]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default7]:[rank15]:     return self._call_impl(*args, **kwargs)
[default7]:[rank15]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default7]:[rank15]:     return forward_call(*args, **kwargs)
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default7]:[rank15]:     sharded_logits = self.model(
[default7]:[rank15]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default7]:[rank15]:     return self._call_impl(*args, **kwargs)
[default7]:[rank15]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default7]:[rank15]:     return forward_call(*args, **kwargs)
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default7]:[rank15]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 782, in forward_with_hidden_states
[default7]:[rank15]:     hidden_states = self.final_layer_norm(input=hidden_encoder_states["hidden_states"])["hidden_states"]
[default7]:[rank15]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default7]:[rank15]:     return self._call_impl(*args, **kwargs)
[default7]:[rank15]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default7]:[rank15]:     return forward_call(*args, **kwargs)
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default7]:[rank15]:     new_kwargs[name] = recv_from_pipeline_state_buffer(
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default7]:[rank15]:     pipeline_state.run_communication()
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default7]:[rank15]:     recv_activation_tensor = recv_activation()
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default7]:[rank15]:     return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default7]:[rank15]:     buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default7]:[rank15]:     meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default7]:[rank15]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default7]:[rank15]:     dist.recv(
[default7]:[rank15]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
[default7]:[rank15]:     return func(*args, **kwargs)
[default7]:[rank15]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv
[default7]:[rank15]:     pg.recv([tensor], group_src_rank, tag).wait()
[default7]:[rank15]: torch.distributed.DistBackendError: [7] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '6:7', but store->get('6:7') got error: Connection reset by peer
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default6]:[rank14]:     trainer.train(dataloader)
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 429, in train
[default6]:[rank14]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default6]:[rank14]:     outputs = self.pipeline_engine.train_batch_iter(
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 278, in train_batch_iter
[default6]:[rank14]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default6]:[rank14]:     output = model(**micro_batch)
[default6]:[rank14]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default6]:[rank14]:     return self._call_impl(*args, **kwargs)
[default6]:[rank14]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default6]:[rank14]:     return forward_call(*args, **kwargs)
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default6]:[rank14]:     sharded_logits = self.model(
[default6]:[rank14]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default6]:[rank14]:     return self._call_impl(*args, **kwargs)
[default6]:[rank14]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default6]:[rank14]:     return forward_call(*args, **kwargs)
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default6]:[rank14]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 782, in forward_with_hidden_states
[default6]:[rank14]:     hidden_states = self.final_layer_norm(input=hidden_encoder_states["hidden_states"])["hidden_states"]
[default6]:[rank14]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default6]:[rank14]:     return self._call_impl(*args, **kwargs)
[default6]:[rank14]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default6]:[rank14]:     return forward_call(*args, **kwargs)
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default6]:[rank14]:     new_kwargs[name] = recv_from_pipeline_state_buffer(
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default6]:[rank14]:     pipeline_state.run_communication()
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default6]:[rank14]:     recv_activation_tensor = recv_activation()
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default6]:[rank14]:     return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default6]:[rank14]:     buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default6]:[rank14]:     meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default6]:[rank14]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default6]:[rank14]:     dist.recv(
[default6]:[rank14]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
[default6]:[rank14]:     return func(*args, **kwargs)
[default6]:[rank14]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv
[default6]:[rank14]:     pg.recv([tensor], group_src_rank, tag).wait()
[default6]:[rank14]: torch.distributed.DistBackendError: [7] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '6:7', but store->get('6:7') got error: Connection reset by peer
[default6]:[rank14]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first):
[default6]:[rank14]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fedf30cf897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default6]:[rank14]: frame #1: <unknown function> + 0x5b3a23e (0x7fee2cbec23e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7fee2cbe6c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default4]:[rank12]:     pipeline_state.run_communication()
[default6]:[rank14]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7fee2cbe6f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7fee2cbe7fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fee2cb9c371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fee2cb9c371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default4]:[rank12]:     recv_activation_tensor = recv_activation()
[default7]:[rank15]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first):
[default7]:[rank15]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f12b2039897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default7]:[rank15]: frame #1: <unknown function> + 0x5b3a23e (0x7f12ebb5623e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7f12ebb50c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f12ebb50f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f12ebb51fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f12ebb06371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f12ebb06371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f12ebb06371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f12ebb06371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f12b3313189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default7]:[rank15]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f12b331a610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default7]:[rank15]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7f12b3339978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default7]:[rank15]: frame #12: <unknown function> + 0x5adc309 (0x7f12ebaf8309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #13: <unknown function> + 0x5ae6f10 (0x7f12ebb02f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fee2cb9c371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fee2cb9c371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7fedf43a9189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default6]:[rank14]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7fedf43b0610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default6]:[rank14]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7fedf43cf978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default6]:[rank14]: frame #12: <unknown function> + 0x5adc309 (0x7fee2cb8e309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #13: <unknown function> + 0x5ae6f10 (0x7fee2cb98f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]:     outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default4]:[rank12]:     return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default7]:[rank15]: frame #14: <unknown function> + 0x5ae6fa5 (0x7f12ebb02fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #15: <unknown function> + 0x5124446 (0x7f12eb140446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default4]:[rank12]:     buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default4]:[rank12]:     meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default4]:[rank12]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default4]:[rank12]:     dist.recv(
[default4]:[rank12]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
[default4]:[rank12]:     return func(*args, **kwargs)
[default4]:[rank12]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv
[default4]:[rank12]:     pg.recv([tensor], group_src_rank, tag).wait()
[default4]:[rank12]: torch.distributed.DistBackendError: [6] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '5:6', but store->get('5:6') got error: Connection reset by peer
[default4]:[rank12]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first):
[default4]:[rank12]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f5ff1461897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default4]:[rank12]: frame #1: <unknown function> + 0x5b3a23e (0x7f602af7e23e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7f602af78c87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f602af78f82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f602af79fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f602af2e371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f602af2e371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f602af2e371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f602af2e371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f5ff273b189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default4]:[rank12]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f5ff2742610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default4]:[rank12]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7f5ff2761978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default4]:[rank12]: frame #12: <unknown function> + 0x5adc309 (0x7f602af20309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]: frame #13: <unknown function> + 0x5ae6f10 (0x7f602af2af10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]:     outputs = self.pipeline_engine.train_batch_iter(
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 462, in training_step
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter
[default7]:[rank15]: frame #16: <unknown function> + 0x1acf4b8 (0x7f12e7aeb4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #17: <unknown function> + 0x5aee004 (0x7f12ebb0a004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]: frame #14: <unknown function> + 0x5ae6fa5 (0x7f602af2afa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]: frame #15: <unknown function> + 0x5124446 (0x7f602a568446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]: frame #16: <unknown function> + 0x1acf4b8 (0x7f6026f134b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #18: <unknown function> + 0x5af36b5 (0x7f12ebb0f6b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:[rank15]: frame #19: <unknown function> + 0xd2631e (0x7f12fe6f931e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default7]:[rank15]: frame #20: <unknown function> + 0x47def4 (0x7f12fde50ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default7]:[rank15]: frame #21: <unknown function> + 0x1445a6 (0x5609f6e545a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #22: _PyObject_MakeTpCall + 0x26b (0x5609f6e4da6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #23: <unknown function> + 0x150866 (0x5609f6e60866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x5609f6e49142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #25: _PyFunction_Vectorcall + 0x6c (0x5609f6e54a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #26: PyObject_Call + 0xbc (0x5609f6e60f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x5609f6e472b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #28: _PyFunction_Vectorcall + 0x6c (0x5609f6e54a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x5609f6e458fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #30: <unknown function> + 0x150582 (0x5609f6e60582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x5609f6e458fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #32: <unknown function> + 0x150582 (0x5609f6e60582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x5609f6e458fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #34: <unknown function> + 0x150582 (0x5609f6e60582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x5609f6e458fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x5609f6e4cf50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #37: _PyObject_Call_Prepend + 0x69 (0x5609f6e5ec39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #38: <unknown function> + 0x211239 (0x5609f6f21239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #39: _PyObject_MakeTpCall + 0x26b (0x5609f6e4da6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x5609f6e493e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #41: _PyFunction_Vectorcall + 0x6c (0x5609f6e54a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x5609f6e44c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #43: _PyFunction_Vectorcall + 0x6c (0x5609f6e54a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x5609f6e458fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #45: <unknown function> + 0x150582 (0x5609f6e60582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #46: PyObject_Call + 0xbc (0x5609f6e60f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x5609f6e472b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #48: <unknown function> + 0x150582 (0x5609f6e60582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #49: PyObject_Call + 0xbc (0x5609f6e60f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x5609f6e472b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #51: _PyFunction_Vectorcall + 0x6c (0x5609f6e54a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x5609f6e4d007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #53: _PyObject_Call_Prepend + 0x69 (0x5609f6e5ec39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #54: <unknown function> + 0x211239 (0x5609f6f21239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #55: _PyObject_MakeTpCall + 0x26b (0x5609f6e4da6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #56: _PyEval_EvalFrameDefault + 0x5723 (0x5609f6e49c53 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #57: <unknown function> + 0x150582 (0x5609f6e60582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x5609f6e458fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #59: <unknown function> + 0x150582 (0x5609f6e60582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #60: PyObject_Call + 0xbc (0x5609f6e60f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x5609f6e472b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #62: <unknown function> + 0x150582 (0x5609f6e60582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: frame #63: PyObject_Call + 0xbc (0x5609f6e60f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:[rank15]: . This may indicate a possible application crash on rank 0 or a network set up issue.
[default3]:[rank11]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default6]:[rank14]: frame #14: <unknown function> + 0x5ae6fa5 (0x7fee2cb98fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #15: <unknown function> + 0x5124446 (0x7fee2c1d6446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]: frame #17: <unknown function> + 0x5aee004 (0x7f602af32004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]:     output = model(**micro_batch)
[default4]:[rank12]: frame #18: <unknown function> + 0x5af36b5 (0x7f602af376b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:[rank12]: frame #19: <unknown function> + 0xd2631e (0x7f603db2131e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default4]:[rank12]: frame #20: <unknown function> + 0x47def4 (0x7f603d278ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default4]:[rank12]: frame #21: <unknown function> + 0x1445a6 (0x5598076785a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #22: _PyObject_MakeTpCall + 0x26b (0x559807671a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #23: <unknown function> + 0x150866 (0x559807684866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55980766d142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #25: _PyFunction_Vectorcall + 0x6c (0x559807678a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #26: PyObject_Call + 0xbc (0x559807684f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55980766b2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #28: _PyFunction_Vectorcall + 0x6c (0x559807678a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x5598076698fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #30: <unknown function> + 0x150582 (0x559807684582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x5598076698fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #32: <unknown function> + 0x150582 (0x559807684582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x5598076698fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #34: <unknown function> + 0x150582 (0x559807684582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x5598076698fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x559807670f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #37: _PyObject_Call_Prepend + 0x69 (0x559807682c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #38: <unknown function> + 0x211239 (0x559807745239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #39: _PyObject_MakeTpCall + 0x26b (0x559807671a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x55980766d3e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #41: _PyFunction_Vectorcall + 0x6c (0x559807678a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x559807668c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #43: _PyFunction_Vectorcall + 0x6c (0x559807678a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x5598076698fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #45: <unknown function> + 0x150582 (0x559807684582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #46: PyObject_Call + 0xbc (0x559807684f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55980766b2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #48: <unknown function> + 0x150582 (0x559807684582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #49: PyObject_Call + 0xbc (0x559807684f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55980766b2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #51: _PyFunction_Vectorcall + 0x6c (0x559807678a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x559807671007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #53: _PyObject_Call_Prepend + 0x69 (0x559807682c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #54: <unknown function> + 0x211239 (0x559807745239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #55: PyObject_Call + 0x207 (0x559807685067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x55980766b2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #57: <unknown function> + 0x150582 (0x559807684582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x5598076698fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #59: <unknown function> + 0x150582 (0x559807684582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #60: PyObject_Call + 0xbc (0x559807684f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55980766b2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #62: <unknown function> + 0x150582 (0x559807684582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: frame #63: PyObject_Call + 0xbc (0x559807684f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:[rank12]: . This may indicate a possible application crash on rank 0 or a network set up issue.
[default1]:[rank9]:     outputs = self.pipeline_engine.train_batch_iter(
[default3]:[rank11]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default3]:[rank11]:     return self._call_impl(*args, **kwargs)
[default6]:[rank14]: frame #16: <unknown function> + 0x1acf4b8 (0x7fee28b814b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #17: <unknown function> + 0x5aee004 (0x7fee2cba0004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default3]:[rank11]:     return forward_call(*args, **kwargs)
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 252, in train_batch_iter
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default1]:[rank9]:     output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default6]:[rank14]: frame #18: <unknown function> + 0x5af36b5 (0x7fee2cba56b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:[rank14]: frame #19: <unknown function> + 0xd2631e (0x7fee3f78f31e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default6]:[rank14]: frame #20: <unknown function> + 0x47def4 (0x7fee3eee6ef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default6]:[rank14]: frame #21: <unknown function> + 0x1445a6 (0x559baf7405a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #22: _PyObject_MakeTpCall + 0x26b (0x559baf739a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #23: <unknown function> + 0x150866 (0x559baf74c866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x559baf735142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #25: _PyFunction_Vectorcall + 0x6c (0x559baf740a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #26: PyObject_Call + 0xbc (0x559baf74cf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x559baf7332b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #28: _PyFunction_Vectorcall + 0x6c (0x559baf740a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x559baf7318fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #30: <unknown function> + 0x150582 (0x559baf74c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x559baf7318fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #32: <unknown function> + 0x150582 (0x559baf74c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x559baf7318fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #34: <unknown function> + 0x150582 (0x559baf74c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x559baf7318fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x559baf738f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #37: _PyObject_Call_Prepend + 0x69 (0x559baf74ac39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #38: <unknown function> + 0x211239 (0x559baf80d239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #39: _PyObject_MakeTpCall + 0x26b (0x559baf739a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x559baf7353e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #41: _PyFunction_Vectorcall + 0x6c (0x559baf740a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x559baf730c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #43: _PyFunction_Vectorcall + 0x6c (0x559baf740a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x559baf7318fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #45: <unknown function> + 0x150582 (0x559baf74c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #46: PyObject_Call + 0xbc (0x559baf74cf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x559baf7332b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #48: <unknown function> + 0x150582 (0x559baf74c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #49: PyObject_Call + 0xbc (0x559baf74cf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x559baf7332b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #51: _PyFunction_Vectorcall + 0x6c (0x559baf740a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x559baf739007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #53: _PyObject_Call_Prepend + 0x69 (0x559baf74ac39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #54: <unknown function> + 0x211239 (0x559baf80d239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #55: _PyObject_MakeTpCall + 0x26b (0x559baf739a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #56: _PyEval_EvalFrameDefault + 0x5723 (0x559baf735c53 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #57: <unknown function> + 0x150582 (0x559baf74c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x559baf7318fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #59: <unknown function> + 0x150582 (0x559baf74c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #60: PyObject_Call + 0xbc (0x559baf74cf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x559baf7332b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #62: <unknown function> + 0x150582 (0x559baf74c582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: frame #63: PyObject_Call + 0xbc (0x559baf74cf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:[rank14]: . This may indicate a possible application crash on rank 0 or a network set up issue.
[default3]:[rank11]:     sharded_logits = self.model(
[default3]:[rank11]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default3]:[rank11]:     return self._call_impl(*args, **kwargs)
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default1]:[rank9]:     output = model(**micro_batch)
[default1]:[rank9]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default3]:[rank11]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default1]:[rank9]:     return self._call_impl(*args, **kwargs)
[default1]:[rank9]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default3]:[rank11]:     return forward_call(*args, **kwargs)
[default1]:[rank9]:     return forward_call(*args, **kwargs)
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 891, in forward
[default1]:[rank9]:     sharded_logits = self.model(
[default1]:[rank9]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default3]:[rank11]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default3]:[rank11]:     hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default3]:[rank11]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default3]:[rank11]:     return self._call_impl(*args, **kwargs)
[default3]:[rank11]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default1]:[rank9]:     return self._call_impl(*args, **kwargs)
[default1]:[rank9]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default1]:[rank9]:     return forward_call(*args, **kwargs)
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default3]:[rank11]:     return forward_call(*args, **kwargs)
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default1]:[rank9]:     return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default3]:[rank11]:     new_kwargs[name] = recv_from_pipeline_state_buffer(
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default1]:[rank9]:     hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default3]:[rank11]:     pipeline_state.run_communication()
[default1]:[rank9]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default1]:[rank9]:     return self._call_impl(*args, **kwargs)
[default3]:[rank11]:     recv_activation_tensor = recv_activation()
[default1]:[rank9]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
[default1]:[rank9]:     return forward_call(*args, **kwargs)
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default3]:[rank11]:     return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default3]:[rank11]:     buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default3]:[rank11]:     meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default3]:[rank11]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default1]:[rank9]:     new_kwargs[name] = recv_from_pipeline_state_buffer(
[default3]:[rank11]:     dist.recv(
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default1]:[rank9]:     pipeline_state.run_communication()
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default3]:[rank11]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
[default3]:[rank11]:     return func(*args, **kwargs)
[default3]:[rank11]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv
[default1]:[rank9]:     recv_activation_tensor = recv_activation()
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default1]:[rank9]:     return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default1]:[rank9]:     buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default1]:[rank9]:     meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default1]:[rank9]:   File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default1]:[rank9]:     dist.recv(
[default1]:[rank9]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 75, in wrapper
[default3]:[rank11]:     pg.recv([tensor], group_src_rank, tag).wait()
[default1]:[rank9]:     return func(*args, **kwargs)
[default1]:[rank9]:   File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1932, in recv
[default3]:[rank11]: torch.distributed.DistBackendError: [5] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '4:5', but store->get('4:5') got error: Connection reset by peer
[default3]:[rank11]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first):
[default1]:[rank9]:     pg.recv([tensor], group_src_rank, tag).wait()
[default3]:[rank11]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f85a8de3897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default1]:[rank9]: torch.distributed.DistBackendError: [4] is setting up NCCL communicator and retrieving ncclUniqueId from [0] via c10d key-value store by key '3:4', but store->get('3:4') got error: Connection reset by peer
[default1]:[rank9]: Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:672 (most recent call first):
[default1]:[rank9]: frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fa8ccd38897 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default1]:[rank9]: frame #1: <unknown function> + 0x5b3a23e (0x7fa90685523e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #1: <unknown function> + 0x5b3a23e (0x7f85e290023e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7f85e28fac87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x2c7 (0x7fa90684fc87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7fa90684ff82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7fa906850fd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fa906805371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fa906805371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fa906805371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fa906805371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7fa8ce012189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default1]:[rank9]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7fa8ce019610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default1]:[rank9]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7fa8ce038978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default1]:[rank9]: frame #12: <unknown function> + 0x5adc309 (0x7fa9067f7309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #13: <unknown function> + 0x5ae6f10 (0x7fa906801f10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f85e28faf82 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f85e28fbfd1 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f85e28b0371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f85e28b0371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f85e28b0371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #14: <unknown function> + 0x5ae6fa5 (0x7fa906801fa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f85e28b0371 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #15: <unknown function> + 0x5124446 (0x7fa905e3f446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #16: <unknown function> + 0x1acf4b8 (0x7fa9027ea4b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f85aa0bd189 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default3]:[rank11]: frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, c10::Device&, c10d::OpType, int, bool) + 0xc50 (0x7f85aa0c4610 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default3]:[rank11]: frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x5f8 (0x7f85aa0e3978 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default1]:[rank9]: frame #17: <unknown function> + 0x5aee004 (0x7fa906809004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #18: <unknown function> + 0x5af36b5 (0x7fa90680e6b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #12: <unknown function> + 0x5adc309 (0x7f85e28a2309 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #19: <unknown function> + 0xd2631e (0x7fa9193f831e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default1]:[rank9]: frame #20: <unknown function> + 0x47def4 (0x7fa918b4fef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default1]:[rank9]: frame #21: <unknown function> + 0x1445a6 (0x5637d86f85a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #13: <unknown function> + 0x5ae6f10 (0x7f85e28acf10 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #22: _PyObject_MakeTpCall + 0x26b (0x5637d86f1a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #23: <unknown function> + 0x150866 (0x5637d8704866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #14: <unknown function> + 0x5ae6fa5 (0x7f85e28acfa5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default1]:[rank9]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x5637d86ed142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #25: _PyFunction_Vectorcall + 0x6c (0x5637d86f8a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #26: PyObject_Call + 0xbc (0x5637d8704f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x5637d86eb2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #28: _PyFunction_Vectorcall + 0x6c (0x5637d86f8a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x5637d86e98fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #30: <unknown function> + 0x150582 (0x5637d8704582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #15: <unknown function> + 0x5124446 (0x7f85e1eea446 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #16: <unknown function> + 0x1acf4b8 (0x7f85de8954b8 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #17: <unknown function> + 0x5aee004 (0x7f85e28b4004 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #18: <unknown function> + 0x5af36b5 (0x7f85e28b96b5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default3]:[rank11]: frame #19: <unknown function> + 0xd2631e (0x7f85f54a331e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default3]:[rank11]: frame #20: <unknown function> + 0x47def4 (0x7f85f4bfaef4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default1]:[rank9]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x5637d86e98fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #32: <unknown function> + 0x150582 (0x5637d8704582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x5637d86e98fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #34: <unknown function> + 0x150582 (0x5637d8704582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x5637d86e98fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x5637d86f0f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #21: <unknown function> + 0x1445a6 (0x5561690215a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #37: _PyObject_Call_Prepend + 0x69 (0x5637d8702c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #22: _PyObject_MakeTpCall + 0x26b (0x55616901aa6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #38: <unknown function> + 0x211239 (0x5637d87c5239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #39: _PyObject_MakeTpCall + 0x26b (0x5637d86f1a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x5637d86ed3e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #23: <unknown function> + 0x150866 (0x55616902d866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x556169016142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #25: _PyFunction_Vectorcall + 0x6c (0x556169021a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #26: PyObject_Call + 0xbc (0x55616902df1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x5561690142b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #41: _PyFunction_Vectorcall + 0x6c (0x5637d86f8a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #28: _PyFunction_Vectorcall + 0x6c (0x556169021a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x5637d86e8c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #43: _PyFunction_Vectorcall + 0x6c (0x5637d86f8a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x5637d86e98fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #45: <unknown function> + 0x150582 (0x5637d8704582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #46: PyObject_Call + 0xbc (0x5637d8704f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x5561690128fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x5637d86eb2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #48: <unknown function> + 0x150582 (0x5637d8704582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #49: PyObject_Call + 0xbc (0x5637d8704f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x5637d86eb2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #30: <unknown function> + 0x150582 (0x55616902d582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #51: _PyFunction_Vectorcall + 0x6c (0x5637d86f8a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x5561690128fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x5637d86f1007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #32: <unknown function> + 0x150582 (0x55616902d582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #53: _PyObject_Call_Prepend + 0x69 (0x5637d8702c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #54: <unknown function> + 0x211239 (0x5637d87c5239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #55: PyObject_Call + 0x207 (0x5637d8705067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x5637d86eb2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #57: <unknown function> + 0x150582 (0x5637d8704582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x5637d86e98fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x5561690128fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #59: <unknown function> + 0x150582 (0x5637d8704582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #60: PyObject_Call + 0xbc (0x5637d8704f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x5637d86eb2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #62: <unknown function> + 0x150582 (0x5637d8704582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: frame #63: PyObject_Call + 0xbc (0x5637d8704f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default1]:[rank9]: . This may indicate a possible application crash on rank 0 or a network set up issue.
[default3]:[rank11]: frame #34: <unknown function> + 0x150582 (0x55616902d582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x5561690128fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x556169019f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #37: _PyObject_Call_Prepend + 0x69 (0x55616902bc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #38: <unknown function> + 0x211239 (0x5561690ee239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #39: _PyObject_MakeTpCall + 0x26b (0x55616901aa6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x5561690163e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #41: _PyFunction_Vectorcall + 0x6c (0x556169021a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #42: _PyEval_EvalFrameDefault + 0x72c (0x556169011c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #43: _PyFunction_Vectorcall + 0x6c (0x556169021a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x5561690128fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #45: <unknown function> + 0x150582 (0x55616902d582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #46: PyObject_Call + 0xbc (0x55616902df1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x5561690142b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #48: <unknown function> + 0x150582 (0x55616902d582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #49: PyObject_Call + 0xbc (0x55616902df1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x5561690142b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #51: _PyFunction_Vectorcall + 0x6c (0x556169021a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55616901a007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #53: _PyObject_Call_Prepend + 0x69 (0x55616902bc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #54: <unknown function> + 0x211239 (0x5561690ee239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #55: PyObject_Call + 0x207 (0x55616902e067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x5561690142b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #57: <unknown function> + 0x150582 (0x55616902d582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x5561690128fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #59: <unknown function> + 0x150582 (0x55616902d582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #60: PyObject_Call + 0xbc (0x55616902df1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x5561690142b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #62: <unknown function> + 0x150582 (0x55616902d582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: frame #63: PyObject_Call + 0xbc (0x55616902df1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default3]:[rank11]: . This may indicate a possible application crash on rank 0 or a network set up issue.
E0702 16:32:03.090000 139887760140096 torch/distributed/elastic/multiprocessing/api.py:826] failed (exitcode: 1) local_rank: 1 (pid: 886300) of binary: /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10
Traceback (most recent call last):
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/torchrun", line 8, in <module>
    sys.exit(main())
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 347, in wrapper
    return f(*args, **kwargs)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 879, in main
    run(args)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 870, in run
    elastic_launch(
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 132, in __call__
    return launch_agent(self._config, self._entrypoint, list(args))
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 263, in launch_agent
    raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
============================================================
/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py FAILED
------------------------------------------------------------
Failures:
  <NO_OTHER_FAILURES>
------------------------------------------------------------
Root Cause (first observed failure):
[0]:
  time      : 2024-07-02_16:32:00
  host      : ip-26-0-160-192.ec2.internal
  rank      : 1 (local_rank: 1)
  exitcode  : 1 (pid: 886300)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
============================================================
srun: error: ip-26-0-160-192: task 0: Exited with exit code 1
W0702 16:32:05.547000 140447697782528 torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1252] The node 'ip-26-0-162-233.ec2.internal_1234423_0' has failed to send a keep-alive heartbeat to the rendezvous 'none' due to an error of type RendezvousConnectionError.
W0702 16:32:05.575000 140453364602688 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 1234492 closing signal SIGTERM
W0702 16:32:05.575000 140453364602688 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 1234493 closing signal SIGTERM
W0702 16:32:05.575000 140453364602688 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 1234494 closing signal SIGTERM
W0702 16:32:05.575000 140453364602688 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 1234495 closing signal SIGTERM
W0702 16:32:05.576000 140453364602688 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 1234496 closing signal SIGTERM
W0702 16:32:05.576000 140453364602688 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 1234498 closing signal SIGTERM
W0702 16:32:05.576000 140453364602688 torch/distributed/elastic/multiprocessing/api.py:851] Sending process 1234499 closing signal SIGTERM
E0702 16:32:06.896000 140453364602688 torch/distributed/elastic/multiprocessing/api.py:826] failed (exitcode: 1) local_rank: 5 (pid: 1234497) of binary: /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10
W0702 16:32:06.902000 140453364602688 torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1203] The node 'ip-26-0-162-233.ec2.internal_1234423_0' has failed to shutdown the rendezvous 'none' due to an error of type RendezvousConnectionError.
W0702 16:32:06.929000 140453364602688 torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1203] The node 'ip-26-0-162-233.ec2.internal_1234423_0' has failed to shutdown the rendezvous 'none' due to an error of type RendezvousConnectionError.
W0702 16:32:06.937000 140453364602688 torch/distributed/elastic/rendezvous/dynamic_rendezvous.py:1203] The node 'ip-26-0-162-233.ec2.internal_1234423_0' has failed to shutdown the rendezvous 'none' due to an error of type RendezvousConnectionError.
Traceback (most recent call last):
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/torchrun", line 8, in <module>
    sys.exit(main())
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 347, in wrapper
    return f(*args, **kwargs)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 879, in main
    run(args)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 870, in run
    elastic_launch(
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 132, in __call__
    return launch_agent(self._config, self._entrypoint, list(args))
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 263, in launch_agent
    raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
============================================================
/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py FAILED
------------------------------------------------------------
Failures:
  <NO_OTHER_FAILURES>
------------------------------------------------------------
Root Cause (first observed failure):
[0]:
  time      : 2024-07-02_16:32:05
  host      : ip-26-0-162-233.ec2.internal
  rank      : 13 (local_rank: 5)
  exitcode  : 1 (pid: 1234497)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
============================================================
srun: error: ip-26-0-162-233: task 1: Exited with exit code 1
Consider using `hf_transfer` for faster uploads. This solution comes with some limitations. See https://huggingface.co/docs/huggingface_hub/hf_transfer for more details.