Hugging Face's logo

nanotron
/
old_bench

Model card Files Community
old_bench
File size: 169,017 Bytes 
0842df8
c560845
0842df8
 
 
 
 
 
 
 
 
 
 
 
c560845
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
0842df8
c560845
 
 
 
 
 
 
 
 
 
0842df8
c560845
0842df8
c560845
 
0842df8
c560845
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
0842df8
c560845
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
0842df8
 
 
 
 
 
c560845
 
 
 
 
 
 
0842df8
c560845
 
 
 
 
 
 
 
 
0842df8
c560845
 
 
 
 
0842df8
c560845
 
 
 
 
 
 
 
 
0842df8
c560845
0842df8
c560845
 
 
0842df8
 
c560845
 
0842df8
c560845
 
 
 
 
 
0842df8
c560845
0842df8
 
 
c560845
 
0842df8
 
 
c560845
 
 
0842df8
c560845
 
 
 
 
 
 
 
0842df8
 
 
 
 
c560845
0842df8
c560845
0842df8
c560845
0842df8
c560845
0842df8
 
 
 
 
 
c560845
0842df8
 
 
c560845
 
 
 
0842df8
c560845
0842df8
c560845
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
0842df8
 
 
 
 
c560845
0842df8
c560845
0842df8
c560845
0842df8
c560845
0842df8
 
 
 
 
 
c560845
0842df8
 
 
c560845
 
 
 
0842df8
c560845
0842df8
c560845
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
0842df8
 
 
 
 
c560845
0842df8
c560845
0842df8
c560845
0842df8
c560845
0842df8
 
 
 
 
 
c560845
0842df8
 
 
c560845
 
 
 
0842df8
c560845
0842df8
c560845
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
0842df8
 
 
 
 
c560845
0842df8
c560845
0842df8
c560845
0842df8
c560845
0842df8
 
 
 
 
 
 
c560845
 
0842df8
c560845
0842df8
c560845
 
 
 
0842df8
c560845
0842df8
c560845
 
 
 
0842df8
c560845
0842df8
c560845
 
 
 
0842df8
c560845
0842df8
c560845
0842df8
 
 
c560845
 
0842df8
c560845
0842df8
c560845
0842df8
c560845
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
0842df8
c560845
 
 
 
 
 
0842df8
 
 
 
 
c560845
0842df8
c560845
0842df8
c560845
0842df8
c560845
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
0842df8
 
 
 
 
c560845
0842df8
c560845
0842df8
c560845
0842df8
c560845
 
 
 
 
 
 
 
0842df8
 
c560845
 
0842df8
 
 
 
 
c560845
 
0842df8
 
 
c560845
 
0842df8
 
c560845
 
 
0842df8
c560845
0842df8
c560845
 
 
0842df8
c560845
0842df8
 
 
c560845
0842df8
c560845
0842df8
c560845
0842df8
c560845
0842df8
 
 
 
 
 
c560845
 
0842df8
 
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
1300
1301
1302
1303
1304
1305
1306
1307
1308
1309
1310
1311
1312
1313
1314
1315
1316
1317
1318
1319
1320
1321
1322
1323
1324
1325
1326
1327
1328
1329
1330
1331
1332
1333
1334
1335
1336
1337
1338
1339
1340
1341
1342
1343
1344
1345
1346
1347
1348
1349
1350
1351
1352
1353
1354
1355
1356
1357
1358
1359
1360
1361
1362
1363
1364
1365
1366
1367
1368
1369
1370
1371
1372
1373
1374
1375
1376
1377
1378
1379
1380
1381
1382
1383
1384
1385
1386
1387
1388
1389
1390
1391
1392
1393
1394
1395
1396
1397
1398
1399
1400
1401
1402
1403
1404
1405
1406
1407
1408
1409
1410
1411
1412
1413
1414
1415
1416
1417
1418
1419
1420
1421
1422
1423
1424
1425
 
========================
START TIME: Sat Jul  6 09:40:58 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
Your branch is up to date with 'origin/bench_cluster'.
Job status: RUNNING
[2024-07-06 09:41:01,073] torch.distributed.run: [WARNING] 
[2024-07-06 09:41:01,073] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:41:01,073] torch.distributed.run: [WARNING] 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. 
[2024-07-06 09:41:01,073] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:41:01,082] torch.distributed.run: [WARNING] 
[2024-07-06 09:41:01,082] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:41:01,082] torch.distributed.run: [WARNING] 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. 
[2024-07-06 09:41:01,082] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:41:01,081] torch.distributed.run: [WARNING] 
[2024-07-06 09:41:01,081] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:41:01,081] torch.distributed.run: [WARNING] 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. 
[2024-07-06 09:41:01,081] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:41:01,100] torch.distributed.run: [WARNING] 
[2024-07-06 09:41:01,100] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:41:01,100] torch.distributed.run: [WARNING] 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. 
[2024-07-06 09:41:01,100] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:41:01,106] torch.distributed.run: [WARNING] 
[2024-07-06 09:41:01,106] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:41:01,106] torch.distributed.run: [WARNING] 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. 
[2024-07-06 09:41:01,106] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:41:01,122] torch.distributed.run: [WARNING] 
[2024-07-06 09:41:01,122] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:41:01,122] torch.distributed.run: [WARNING] 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. 
[2024-07-06 09:41:01,122] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:41:01,132] torch.distributed.run: [WARNING] 
[2024-07-06 09:41:01,132] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:41:01,132] torch.distributed.run: [WARNING] 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. 
[2024-07-06 09:41:01,132] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:41:01,188] torch.distributed.run: [WARNING] 
[2024-07-06 09:41:01,188] torch.distributed.run: [WARNING] *****************************************
[2024-07-06 09:41:01,188] torch.distributed.run: [WARNING] 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. 
[2024-07-06 09:41:01,188] torch.distributed.run: [WARNING] *****************************************
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]: Config:
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]: Config(general=GeneralArgs(project='bench_cluster',
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                            run='%date_%jobid',
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                            seed=42,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                            step=None,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                            consumed_train_samples=None,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                            benchmark_csv_path=None,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                            ignore_sanity_checks=True),
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:        parallelism=ParallelismArgs(dp=1,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                    pp=64,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                    tp=1,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                    pp_engine=<nanotron.parallel.pipeline_parallel.engine.AllForwardAllBackwardPipelineEngine object at 0x7fd6726f0730>,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                    tp_mode=<TensorParallelLinearMode.REDUCE_SCATTER: 2>,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                    tp_linear_async_communication=False,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                    expert_parallel_size=1),
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:        model=ModelArgs(model_config=LlamaConfig(bos_token_id=1,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                 eos_token_id=2,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                 hidden_act='silu',
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                 hidden_size=2048,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                 initializer_range=0.02,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                 intermediate_size=4096,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                 is_llama_config=True,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                 max_position_embeddings=4096,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                 num_attention_heads=32,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                 num_hidden_layers=24,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                 num_key_value_heads=32,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                 pad_token_id=None,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                 pretraining_tp=1,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                 rms_norm_eps=1e-05,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                 rope_scaling=None,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                 rope_theta=10000.0,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                 tie_word_embeddings=True,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                 use_cache=True,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                 vocab_size=50257),
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                        init_method=RandomInit(std=0.025),
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                        dtype=torch.bfloat16,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                        make_vocab_size_divisible_by=1,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                        ddp_bucket_cap_mb=25),
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:        tokenizer=TokenizerArgs(tokenizer_name_or_path='openai-community/gpt2',
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                tokenizer_revision=None,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                tokenizer_max_length=None),
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:        checkpoints=CheckpointsArgs(checkpoints_path=PosixPath('/dev/null'),
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                    checkpoint_interval=100000,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                    save_initial_state=False,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                    resume_checkpoint_path=None,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                    checkpoints_path_is_shared_file_system=False),
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:        logging=LoggingArgs(log_level='info',
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                            log_level_replica='info',
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                            iteration_step_info_interval=1),
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:        tokens=TokensArgs(sequence_length=4096,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                          train_steps=20,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                          micro_batch_size=8,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                          batch_accumulation_per_replica=128,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                          val_check_interval=-1,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                          limit_val_batches=0,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                          limit_test_batches=0),
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:        optimizer=OptimizerArgs(optimizer_factory=AdamWOptimizerArgs(adam_eps=1e-08,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                                     adam_beta1=0.9,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                                     adam_beta2=0.95,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                                     torch_adam_is_fused=True,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                                     name='adamW'),
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                zero_stage=1,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                weight_decay=0.01,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                clip_grad=1.0,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                accumulate_grad_in_fp32=True,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                learning_rate_scheduler=LRSchedulerArgs(learning_rate=0.0001,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                                        lr_warmup_steps=1,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                                        lr_warmup_style='linear',
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                                        lr_decay_style='linear',
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                                        lr_decay_steps=19,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                                        lr_decay_starting_step=None,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                                        min_decay_lr=1e-05)),
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:        data_stages=[DatasetStageArgs(name='Training Stage',
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                      start_training_step=1,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                      data=DataArgs(dataset=PretrainDatasetsArgs(hf_dataset_or_datasets='roneneldan/TinyStories',
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                                                 hf_dataset_splits='train',
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                                                 hf_dataset_config_name=None,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                                                 dataset_processing_num_proc_per_process=64,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                                                 dataset_overwrite_cache=False,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                                                 text_column_name='text'),
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                    seed=42,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:                                                    num_loading_workers=0))],
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:        profiler=ProfilerArgs(profiler_export_path=PosixPath('/fsx/ferdinandmom/ferdinand-hf/bench_cluster/results/llama-1B/64_GPUS/dp-1_tp-1_pp-64_mbz-8')),
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:        lighteval=None)
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]: Model Config:
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]: LlamaConfig(bos_token_id=1,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:             eos_token_id=2,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:             hidden_act='silu',
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:             hidden_size=2048,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:             initializer_range=0.02,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:             intermediate_size=4096,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:             is_llama_config=True,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:             max_position_embeddings=4096,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:             num_attention_heads=32,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:             num_hidden_layers=24,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:             num_key_value_heads=32,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:             pad_token_id=None,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:             pretraining_tp=1,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:             rms_norm_eps=1e-05,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:             rope_scaling=None,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:             rope_theta=10000.0,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:             tie_word_embeddings=True,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:             use_cache=True,
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:             vocab_size=50257)
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]: Building model..
[default0]:07/06/2024 09:41:19 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]: Setting PP block ranks...
[default6]:07/06/2024 09:41:38 [INFO|DP=0|PP=6|TP=0|ip-26-0-161-78]: Local number of parameters: 41.9M (80.01MiB)
[default7]:07/06/2024 09:41:38 [INFO|DP=0|PP=7|TP=0|ip-26-0-161-78]: Local number of parameters: 41.9M (80.01MiB)
[default7]:07/06/2024 09:41:38 [INFO|DP=0|PP=7|TP=0|ip-26-0-161-78]: [After model building] Memory usage: 81.02MiB. Peak allocated: 83.05MiB Peak reserved: 96.00MiB
[default6]:07/06/2024 09:41:38 [INFO|DP=0|PP=6|TP=0|ip-26-0-161-78]: [After model building] Memory usage: 81.02MiB. Peak allocated: 83.05MiB Peak reserved: 96.00MiB
[default6]:07/06/2024 09:41:38 [INFO|DP=0|PP=6|TP=0|ip-26-0-161-78]: No checkpoint path provided.
[default0]:07/06/2024 09:41:38 [INFO|DP=0|PP=56|TP=0|ip-26-0-175-34]: Local number of parameters: 0 (0.00MiB)
[default0]:07/06/2024 09:41:38 [INFO|DP=0|PP=56|TP=0|ip-26-0-175-34]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default0]:07/06/2024 09:41:38 [INFO|DP=0|PP=56|TP=0|ip-26-0-175-34]: No checkpoint path provided.
[default7]:07/06/2024 09:41:38 [INFO|DP=0|PP=7|TP=0|ip-26-0-161-78]: No checkpoint path provided.
[default3]:07/06/2024 09:41:38 [INFO|DP=0|PP=59|TP=0|ip-26-0-175-34]: Local number of parameters: 0 (0.00MiB)
[default3]:07/06/2024 09:41:38 [INFO|DP=0|PP=59|TP=0|ip-26-0-175-34]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default3]:07/06/2024 09:41:38 [INFO|DP=0|PP=59|TP=0|ip-26-0-175-34]: No checkpoint path provided.
[default3]:07/06/2024 09:41:38 [INFO|DP=0|PP=3|TP=0|ip-26-0-161-78]: Local number of parameters: 41.9M (80.01MiB)
[default3]:07/06/2024 09:41:38 [INFO|DP=0|PP=3|TP=0|ip-26-0-161-78]: [After model building] Memory usage: 81.02MiB. Peak allocated: 83.05MiB Peak reserved: 96.00MiB
[default3]:07/06/2024 09:41:38 [INFO|DP=0|PP=3|TP=0|ip-26-0-161-78]: No checkpoint path provided.
[default5]:07/06/2024 09:41:38 [INFO|DP=0|PP=5|TP=0|ip-26-0-161-78]: Local number of parameters: 41.9M (80.01MiB)
[default5]:07/06/2024 09:41:38 [INFO|DP=0|PP=5|TP=0|ip-26-0-161-78]: [After model building] Memory usage: 81.02MiB. Peak allocated: 83.05MiB Peak reserved: 96.00MiB
[default5]:07/06/2024 09:41:38 [INFO|DP=0|PP=5|TP=0|ip-26-0-161-78]: No checkpoint path provided.
[default1]:07/06/2024 09:41:38 [INFO|DP=0|PP=41|TP=0|ip-26-0-175-170]: Local number of parameters: 0 (0.00MiB)
[default1]:07/06/2024 09:41:38 [INFO|DP=0|PP=41|TP=0|ip-26-0-175-170]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default1]:07/06/2024 09:41:38 [INFO|DP=0|PP=41|TP=0|ip-26-0-175-170]: No checkpoint path provided.
[default6]:07/06/2024 09:41:38 [INFO|DP=0|PP=46|TP=0|ip-26-0-175-170]: Local number of parameters: 0 (0.00MiB)
[default6]:07/06/2024 09:41:38 [INFO|DP=0|PP=46|TP=0|ip-26-0-175-170]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default6]:07/06/2024 09:41:38 [INFO|DP=0|PP=46|TP=0|ip-26-0-175-170]: No checkpoint path provided.
[default0]:07/06/2024 09:41:38 [INFO|DP=0|PP=40|TP=0|ip-26-0-175-170]: Local number of parameters: 0 (0.00MiB)
[default0]:07/06/2024 09:41:38 [INFO|DP=0|PP=40|TP=0|ip-26-0-175-170]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default0]:07/06/2024 09:41:38 [INFO|DP=0|PP=40|TP=0|ip-26-0-175-170]: No checkpoint path provided.
[default2]:07/06/2024 09:41:38 [INFO|DP=0|PP=2|TP=0|ip-26-0-161-78]: Local number of parameters: 41.9M (80.01MiB)
[default2]:07/06/2024 09:41:38 [INFO|DP=0|PP=2|TP=0|ip-26-0-161-78]: [After model building] Memory usage: 81.02MiB. Peak allocated: 83.05MiB Peak reserved: 96.00MiB
[default2]:07/06/2024 09:41:38 [INFO|DP=0|PP=2|TP=0|ip-26-0-161-78]: No checkpoint path provided.
[default3]:07/06/2024 09:41:38 [INFO|DP=0|PP=43|TP=0|ip-26-0-175-170]: Local number of parameters: 0 (0.00MiB)
[default3]:07/06/2024 09:41:38 [INFO|DP=0|PP=43|TP=0|ip-26-0-175-170]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default5]:07/06/2024 09:41:38 [INFO|DP=0|PP=61|TP=0|ip-26-0-175-34]: Local number of parameters: 0 (0.00MiB)
[default5]:07/06/2024 09:41:38 [INFO|DP=0|PP=61|TP=0|ip-26-0-175-34]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default5]:07/06/2024 09:41:38 [INFO|DP=0|PP=61|TP=0|ip-26-0-175-34]: No checkpoint path provided.
[default0]:07/06/2024 09:41:38 [INFO|DP=0|PP=48|TP=0|ip-26-0-175-241]: Local number of parameters: 0 (0.00MiB)
[default3]:07/06/2024 09:41:38 [INFO|DP=0|PP=43|TP=0|ip-26-0-175-170]: No checkpoint path provided.
[default0]:07/06/2024 09:41:38 [INFO|DP=0|PP=48|TP=0|ip-26-0-175-241]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default0]:07/06/2024 09:41:38 [INFO|DP=0|PP=48|TP=0|ip-26-0-175-241]: No checkpoint path provided.
[default1]:07/06/2024 09:41:38 [INFO|DP=0|PP=1|TP=0|ip-26-0-161-78]: Local number of parameters: 41.9M (80.01MiB)
[default1]:07/06/2024 09:41:38 [INFO|DP=0|PP=1|TP=0|ip-26-0-161-78]: [After model building] Memory usage: 81.02MiB. Peak allocated: 83.05MiB Peak reserved: 96.00MiB
[default7]:07/06/2024 09:41:38 [INFO|DP=0|PP=47|TP=0|ip-26-0-175-170]: Local number of parameters: 0 (0.00MiB)
[default7]:07/06/2024 09:41:38 [INFO|DP=0|PP=47|TP=0|ip-26-0-175-170]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default7]:07/06/2024 09:41:38 [INFO|DP=0|PP=47|TP=0|ip-26-0-175-170]: No checkpoint path provided.
[default2]:07/06/2024 09:41:38 [INFO|DP=0|PP=58|TP=0|ip-26-0-175-34]: Local number of parameters: 0 (0.00MiB)
[default4]:07/06/2024 09:41:38 [INFO|DP=0|PP=52|TP=0|ip-26-0-175-241]: Local number of parameters: 0 (0.00MiB)
[default0]:07/06/2024 09:41:38 [INFO|DP=0|PP=32|TP=0|ip-26-0-175-165]: Local number of parameters: 0 (0.00MiB)
[default0]:07/06/2024 09:41:38 [INFO|DP=0|PP=32|TP=0|ip-26-0-175-165]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default0]:07/06/2024 09:41:38 [INFO|DP=0|PP=32|TP=0|ip-26-0-175-165]: No checkpoint path provided.
[default1]:07/06/2024 09:41:38 [INFO|DP=0|PP=1|TP=0|ip-26-0-161-78]: No checkpoint path provided.
[default2]:07/06/2024 09:41:38 [INFO|DP=0|PP=58|TP=0|ip-26-0-175-34]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default2]:07/06/2024 09:41:38 [INFO|DP=0|PP=58|TP=0|ip-26-0-175-34]: No checkpoint path provided.
[default1]:07/06/2024 09:41:38 [INFO|DP=0|PP=25|TP=0|ip-26-0-175-132]: Local number of parameters: 103M (196.32MiB)
[default1]:07/06/2024 09:41:38 [INFO|DP=0|PP=25|TP=0|ip-26-0-175-132]: [After model building] Memory usage: 196.33MiB. Peak allocated: 196.35MiB Peak reserved: 200.00MiB
[default1]:07/06/2024 09:41:38 [INFO|DP=0|PP=25|TP=0|ip-26-0-175-132]: No checkpoint path provided.
[default3]:07/06/2024 09:41:38 [INFO|DP=0|PP=27|TP=0|ip-26-0-175-132]: Local number of parameters: 0 (0.00MiB)
[default3]:07/06/2024 09:41:38 [INFO|DP=0|PP=27|TP=0|ip-26-0-175-132]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default6]:07/06/2024 09:41:38 [INFO|DP=0|PP=54|TP=0|ip-26-0-175-241]: Local number of parameters: 0 (0.00MiB)
[default5]:07/06/2024 09:41:38 [INFO|DP=0|PP=37|TP=0|ip-26-0-175-165]: Local number of parameters: 0 (0.00MiB)
[default0]:07/06/2024 09:41:38 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]: Total number of parameters: 1.21G (2312.82MiB)
[default1]:07/06/2024 09:41:38 [INFO|DP=0|PP=57|TP=0|ip-26-0-175-34]: Local number of parameters: 0 (0.00MiB)
[default1]:07/06/2024 09:41:38 [INFO|DP=0|PP=57|TP=0|ip-26-0-175-34]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default1]:07/06/2024 09:41:38 [INFO|DP=0|PP=57|TP=0|ip-26-0-175-34]: No checkpoint path provided.
[default3]:07/06/2024 09:41:38 [INFO|DP=0|PP=27|TP=0|ip-26-0-175-132]: No checkpoint path provided.
[default6]:07/06/2024 09:41:38 [INFO|DP=0|PP=54|TP=0|ip-26-0-175-241]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default5]:07/06/2024 09:41:38 [INFO|DP=0|PP=37|TP=0|ip-26-0-175-165]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default5]:07/06/2024 09:41:38 [INFO|DP=0|PP=37|TP=0|ip-26-0-175-165]: No checkpoint path provided.
[default0]:07/06/2024 09:41:38 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]: Local number of parameters: 145M (276.32MiB)
[default2]:07/06/2024 09:41:38 [INFO|DP=0|PP=42|TP=0|ip-26-0-175-170]: Local number of parameters: 0 (0.00MiB)
[default2]:07/06/2024 09:41:38 [INFO|DP=0|PP=42|TP=0|ip-26-0-175-170]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default2]:07/06/2024 09:41:38 [INFO|DP=0|PP=42|TP=0|ip-26-0-175-170]: No checkpoint path provided.
[default6]:07/06/2024 09:41:38 [INFO|DP=0|PP=62|TP=0|ip-26-0-175-34]: Local number of parameters: 0 (0.00MiB)
[default7]:07/06/2024 09:41:38 [INFO|DP=0|PP=55|TP=0|ip-26-0-175-241]: Local number of parameters: 0 (0.00MiB)
[default7]:07/06/2024 09:41:38 [INFO|DP=0|PP=55|TP=0|ip-26-0-175-241]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default3]:07/06/2024 09:41:38 [INFO|DP=0|PP=35|TP=0|ip-26-0-175-165]: Local number of parameters: 0 (0.00MiB)
[default4]:07/06/2024 09:41:38 [INFO|DP=0|PP=4|TP=0|ip-26-0-161-78]: Local number of parameters: 41.9M (80.01MiB)
[default6]:07/06/2024 09:41:38 [INFO|DP=0|PP=62|TP=0|ip-26-0-175-34]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default4]:07/06/2024 09:41:38 [INFO|DP=0|PP=52|TP=0|ip-26-0-175-241]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default6]:07/06/2024 09:41:38 [INFO|DP=0|PP=54|TP=0|ip-26-0-175-241]: No checkpoint path provided.
[default3]:07/06/2024 09:41:38 [INFO|DP=0|PP=35|TP=0|ip-26-0-175-165]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default3]:07/06/2024 09:41:38 [INFO|DP=0|PP=35|TP=0|ip-26-0-175-165]: No checkpoint path provided.
[default4]:07/06/2024 09:41:38 [INFO|DP=0|PP=4|TP=0|ip-26-0-161-78]: [After model building] Memory usage: 81.02MiB. Peak allocated: 83.05MiB Peak reserved: 96.00MiB
[default0]:07/06/2024 09:41:38 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]: [After model building] Memory usage: 277.33MiB. Peak allocated: 279.36MiB Peak reserved: 294.00MiB
[default4]:07/06/2024 09:41:38 [INFO|DP=0|PP=60|TP=0|ip-26-0-175-34]: Local number of parameters: 0 (0.00MiB)
[default7]:07/06/2024 09:41:38 [INFO|DP=0|PP=55|TP=0|ip-26-0-175-241]: No checkpoint path provided.
[default7]:07/06/2024 09:41:38 [INFO|DP=0|PP=39|TP=0|ip-26-0-175-165]: Local number of parameters: 0 (0.00MiB)
[default0]:07/06/2024 09:41:38 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]: No checkpoint path provided.
[default4]:07/06/2024 09:41:38 [INFO|DP=0|PP=4|TP=0|ip-26-0-161-78]: No checkpoint path provided.
[default6]:07/06/2024 09:41:38 [INFO|DP=0|PP=62|TP=0|ip-26-0-175-34]: No checkpoint path provided.
[default4]:07/06/2024 09:41:38 [INFO|DP=0|PP=52|TP=0|ip-26-0-175-241]: No checkpoint path provided.
[default7]:07/06/2024 09:41:38 [INFO|DP=0|PP=39|TP=0|ip-26-0-175-165]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default7]:07/06/2024 09:41:38 [INFO|DP=0|PP=39|TP=0|ip-26-0-175-165]: No checkpoint path provided.
[default0]:07/06/2024 09:41:38 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]: Parametrizing model parameters using StandardParametrizator
[default5]:07/06/2024 09:41:38 [INFO|DP=0|PP=45|TP=0|ip-26-0-175-170]: Local number of parameters: 0 (0.00MiB)
[default4]:07/06/2024 09:41:38 [INFO|DP=0|PP=60|TP=0|ip-26-0-175-34]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default1]:07/06/2024 09:41:38 [INFO|DP=0|PP=49|TP=0|ip-26-0-175-241]: Local number of parameters: 0 (0.00MiB)
[default1]:07/06/2024 09:41:38 [INFO|DP=0|PP=49|TP=0|ip-26-0-175-241]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default1]:07/06/2024 09:41:38 [INFO|DP=0|PP=49|TP=0|ip-26-0-175-241]: No checkpoint path provided.
[default6]:07/06/2024 09:41:38 [INFO|DP=0|PP=38|TP=0|ip-26-0-175-165]: Local number of parameters: 0 (0.00MiB)
[default5]:07/06/2024 09:41:38 [INFO|DP=0|PP=45|TP=0|ip-26-0-175-170]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default4]:07/06/2024 09:41:38 [INFO|DP=0|PP=44|TP=0|ip-26-0-175-170]: Local number of parameters: 0 (0.00MiB)
[default4]:07/06/2024 09:41:38 [INFO|DP=0|PP=60|TP=0|ip-26-0-175-34]: No checkpoint path provided.
[default3]:07/06/2024 09:41:38 [INFO|DP=0|PP=51|TP=0|ip-26-0-175-241]: Local number of parameters: 0 (0.00MiB)
[default4]:07/06/2024 09:41:38 [INFO|DP=0|PP=12|TP=0|ip-26-0-171-230]: Local number of parameters: 41.9M (80.01MiB)
[default0]:07/06/2024 09:41:38 [INFO|DP=0|PP=8|TP=0|ip-26-0-171-230]: Local number of parameters: 41.9M (80.01MiB)
[default6]:07/06/2024 09:41:38 [INFO|DP=0|PP=38|TP=0|ip-26-0-175-165]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default6]:07/06/2024 09:41:38 [INFO|DP=0|PP=38|TP=0|ip-26-0-175-165]: No checkpoint path provided.
[default4]:07/06/2024 09:41:38 [INFO|DP=0|PP=44|TP=0|ip-26-0-175-170]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default5]:07/06/2024 09:41:38 [INFO|DP=0|PP=45|TP=0|ip-26-0-175-170]: No checkpoint path provided.
[default7]:07/06/2024 09:41:38 [INFO|DP=0|PP=63|TP=0|ip-26-0-175-34]: Local number of parameters: 0 (0.00MiB)
[default3]:07/06/2024 09:41:38 [INFO|DP=0|PP=51|TP=0|ip-26-0-175-241]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default3]:07/06/2024 09:41:38 [INFO|DP=0|PP=51|TP=0|ip-26-0-175-241]: No checkpoint path provided.
[default0]:07/06/2024 09:41:38 [INFO|DP=0|PP=8|TP=0|ip-26-0-171-230]: [After model building] Memory usage: 81.02MiB. Peak allocated: 83.05MiB Peak reserved: 96.00MiB
[default4]:07/06/2024 09:41:38 [INFO|DP=0|PP=12|TP=0|ip-26-0-171-230]: [After model building] Memory usage: 81.02MiB. Peak allocated: 83.05MiB Peak reserved: 96.00MiB
[default4]:07/06/2024 09:41:38 [INFO|DP=0|PP=12|TP=0|ip-26-0-171-230]: No checkpoint path provided.
[default2]:07/06/2024 09:41:38 [INFO|DP=0|PP=34|TP=0|ip-26-0-175-165]: Local number of parameters: 0 (0.00MiB)
[default4]:07/06/2024 09:41:38 [INFO|DP=0|PP=44|TP=0|ip-26-0-175-170]: No checkpoint path provided.
[default7]:07/06/2024 09:41:38 [INFO|DP=0|PP=63|TP=0|ip-26-0-175-34]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default7]:07/06/2024 09:41:38 [INFO|DP=0|PP=63|TP=0|ip-26-0-175-34]: No checkpoint path provided.
[default5]:07/06/2024 09:41:38 [INFO|DP=0|PP=29|TP=0|ip-26-0-175-132]: Local number of parameters: 0 (0.00MiB)
[default5]:07/06/2024 09:41:38 [INFO|DP=0|PP=29|TP=0|ip-26-0-175-132]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default5]:07/06/2024 09:41:38 [INFO|DP=0|PP=29|TP=0|ip-26-0-175-132]: No checkpoint path provided.
[default2]:07/06/2024 09:41:38 [INFO|DP=0|PP=50|TP=0|ip-26-0-175-241]: Local number of parameters: 0 (0.00MiB)
[default0]:07/06/2024 09:41:38 [INFO|DP=0|PP=8|TP=0|ip-26-0-171-230]: No checkpoint path provided.
[default2]:07/06/2024 09:41:38 [INFO|DP=0|PP=34|TP=0|ip-26-0-175-165]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default2]:07/06/2024 09:41:38 [INFO|DP=0|PP=34|TP=0|ip-26-0-175-165]: No checkpoint path provided.
[default2]:07/06/2024 09:41:38 [INFO|DP=0|PP=50|TP=0|ip-26-0-175-241]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default2]:07/06/2024 09:41:38 [INFO|DP=0|PP=10|TP=0|ip-26-0-171-230]: Local number of parameters: 41.9M (80.01MiB)
[default1]:07/06/2024 09:41:38 [INFO|DP=0|PP=33|TP=0|ip-26-0-175-165]: Local number of parameters: 0 (0.00MiB)
[default2]:07/06/2024 09:41:38 [INFO|DP=0|PP=50|TP=0|ip-26-0-175-241]: No checkpoint path provided.
[default2]:07/06/2024 09:41:38 [INFO|DP=0|PP=10|TP=0|ip-26-0-171-230]: [After model building] Memory usage: 81.02MiB. Peak allocated: 83.05MiB Peak reserved: 96.00MiB
[default2]:07/06/2024 09:41:38 [INFO|DP=0|PP=10|TP=0|ip-26-0-171-230]: No checkpoint path provided.
[default1]:07/06/2024 09:41:38 [INFO|DP=0|PP=33|TP=0|ip-26-0-175-165]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default1]:07/06/2024 09:41:38 [INFO|DP=0|PP=33|TP=0|ip-26-0-175-165]: No checkpoint path provided.
[default0]:07/06/2024 09:41:38 [INFO|DP=0|PP=24|TP=0|ip-26-0-175-132]: Local number of parameters: 2.05K (0.00MiB)
[default0]:07/06/2024 09:41:38 [INFO|DP=0|PP=24|TP=0|ip-26-0-175-132]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default0]:07/06/2024 09:41:38 [INFO|DP=0|PP=24|TP=0|ip-26-0-175-132]: No checkpoint path provided.
[default5]:07/06/2024 09:41:38 [INFO|DP=0|PP=53|TP=0|ip-26-0-175-241]: Local number of parameters: 0 (0.00MiB)
[default5]:07/06/2024 09:41:38 [INFO|DP=0|PP=53|TP=0|ip-26-0-175-241]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default6]:07/06/2024 09:41:38 [INFO|DP=0|PP=14|TP=0|ip-26-0-171-230]: Local number of parameters: 41.9M (80.01MiB)
[default6]:07/06/2024 09:41:38 [INFO|DP=0|PP=14|TP=0|ip-26-0-171-230]: [After model building] Memory usage: 81.02MiB. Peak allocated: 83.05MiB Peak reserved: 96.00MiB
[default6]:07/06/2024 09:41:38 [INFO|DP=0|PP=14|TP=0|ip-26-0-171-230]: No checkpoint path provided.
[default4]:07/06/2024 09:41:38 [INFO|DP=0|PP=36|TP=0|ip-26-0-175-165]: Local number of parameters: 0 (0.00MiB)
[default4]:07/06/2024 09:41:38 [INFO|DP=0|PP=36|TP=0|ip-26-0-175-165]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default2]:07/06/2024 09:41:38 [INFO|DP=0|PP=26|TP=0|ip-26-0-175-132]: Local number of parameters: 0 (0.00MiB)
[default5]:07/06/2024 09:41:38 [INFO|DP=0|PP=53|TP=0|ip-26-0-175-241]: No checkpoint path provided.
[default5]:07/06/2024 09:41:38 [INFO|DP=0|PP=13|TP=0|ip-26-0-171-230]: Local number of parameters: 41.9M (80.01MiB)
[default4]:07/06/2024 09:41:38 [INFO|DP=0|PP=36|TP=0|ip-26-0-175-165]: No checkpoint path provided.
[default2]:07/06/2024 09:41:38 [INFO|DP=0|PP=26|TP=0|ip-26-0-175-132]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default2]:07/06/2024 09:41:38 [INFO|DP=0|PP=26|TP=0|ip-26-0-175-132]: No checkpoint path provided.
[default1]:07/06/2024 09:41:38 [INFO|DP=0|PP=9|TP=0|ip-26-0-171-230]: Local number of parameters: 41.9M (80.01MiB)
[default4]:07/06/2024 09:41:38 [INFO|DP=0|PP=28|TP=0|ip-26-0-175-132]: Local number of parameters: 0 (0.00MiB)
[default4]:07/06/2024 09:41:38 [INFO|DP=0|PP=28|TP=0|ip-26-0-175-132]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default5]:07/06/2024 09:41:38 [INFO|DP=0|PP=13|TP=0|ip-26-0-171-230]: [After model building] Memory usage: 81.02MiB. Peak allocated: 83.05MiB Peak reserved: 96.00MiB
[default4]:07/06/2024 09:41:38 [INFO|DP=0|PP=28|TP=0|ip-26-0-175-132]: No checkpoint path provided.
[default7]:07/06/2024 09:41:38 [INFO|DP=0|PP=31|TP=0|ip-26-0-175-132]: Local number of parameters: 0 (0.00MiB)
[default7]:07/06/2024 09:41:38 [INFO|DP=0|PP=31|TP=0|ip-26-0-175-132]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default5]:07/06/2024 09:41:38 [INFO|DP=0|PP=13|TP=0|ip-26-0-171-230]: No checkpoint path provided.
[default1]:07/06/2024 09:41:38 [INFO|DP=0|PP=9|TP=0|ip-26-0-171-230]: [After model building] Memory usage: 81.02MiB. Peak allocated: 83.05MiB Peak reserved: 96.00MiB
[default1]:07/06/2024 09:41:38 [INFO|DP=0|PP=9|TP=0|ip-26-0-171-230]: No checkpoint path provided.
[default7]:07/06/2024 09:41:38 [INFO|DP=0|PP=31|TP=0|ip-26-0-175-132]: No checkpoint path provided.
[default7]:07/06/2024 09:41:38 [INFO|DP=0|PP=15|TP=0|ip-26-0-171-230]: Local number of parameters: 41.9M (80.01MiB)
[default7]:07/06/2024 09:41:38 [INFO|DP=0|PP=15|TP=0|ip-26-0-171-230]: [After model building] Memory usage: 81.02MiB. Peak allocated: 83.05MiB Peak reserved: 96.00MiB
[default7]:07/06/2024 09:41:38 [INFO|DP=0|PP=15|TP=0|ip-26-0-171-230]: No checkpoint path provided.
[default3]:07/06/2024 09:41:38 [INFO|DP=0|PP=11|TP=0|ip-26-0-171-230]: Local number of parameters: 41.9M (80.01MiB)
[default6]:07/06/2024 09:41:38 [INFO|DP=0|PP=30|TP=0|ip-26-0-175-132]: Local number of parameters: 0 (0.00MiB)
[default6]:07/06/2024 09:41:38 [INFO|DP=0|PP=30|TP=0|ip-26-0-175-132]: [After model building] Memory usage: 0.01MiB. Peak allocated: 0.03MiB Peak reserved: 2.00MiB
[default3]:07/06/2024 09:41:38 [INFO|DP=0|PP=11|TP=0|ip-26-0-171-230]: [After model building] Memory usage: 81.02MiB. Peak allocated: 83.05MiB Peak reserved: 96.00MiB
[default3]:07/06/2024 09:41:38 [INFO|DP=0|PP=11|TP=0|ip-26-0-171-230]: No checkpoint path provided.
[default6]:07/06/2024 09:41:38 [INFO|DP=0|PP=30|TP=0|ip-26-0-175-132]: No checkpoint path provided.
[default7]:07/06/2024 09:41:38 [INFO|DP=0|PP=23|TP=0|ip-26-0-171-249]: Local number of parameters: 41.9M (80.01MiB)
[default7]:07/06/2024 09:41:38 [INFO|DP=0|PP=23|TP=0|ip-26-0-171-249]: [After model building] Memory usage: 81.02MiB. Peak allocated: 83.05MiB Peak reserved: 96.00MiB
[default7]:07/06/2024 09:41:38 [INFO|DP=0|PP=23|TP=0|ip-26-0-171-249]: No checkpoint path provided.
[default0]:07/06/2024 09:41:38 [INFO|DP=0|PP=16|TP=0|ip-26-0-171-249]: Local number of parameters: 41.9M (80.01MiB)
[default0]:07/06/2024 09:41:38 [INFO|DP=0|PP=16|TP=0|ip-26-0-171-249]: [After model building] Memory usage: 81.02MiB. Peak allocated: 83.05MiB Peak reserved: 96.00MiB
[default0]:07/06/2024 09:41:38 [INFO|DP=0|PP=16|TP=0|ip-26-0-171-249]: No checkpoint path provided.
[default5]:07/06/2024 09:41:38 [INFO|DP=0|PP=21|TP=0|ip-26-0-171-249]: Local number of parameters: 41.9M (80.01MiB)
[default5]:07/06/2024 09:41:38 [INFO|DP=0|PP=21|TP=0|ip-26-0-171-249]: [After model building] Memory usage: 81.02MiB. Peak allocated: 83.05MiB Peak reserved: 96.00MiB
[default5]:07/06/2024 09:41:38 [INFO|DP=0|PP=21|TP=0|ip-26-0-171-249]: No checkpoint path provided.
[default1]:07/06/2024 09:41:38 [INFO|DP=0|PP=17|TP=0|ip-26-0-171-249]: Local number of parameters: 41.9M (80.01MiB)
[default1]:07/06/2024 09:41:38 [INFO|DP=0|PP=17|TP=0|ip-26-0-171-249]: [After model building] Memory usage: 81.02MiB. Peak allocated: 83.05MiB Peak reserved: 96.00MiB
[default1]:07/06/2024 09:41:38 [INFO|DP=0|PP=17|TP=0|ip-26-0-171-249]: No checkpoint path provided.
[default4]:07/06/2024 09:41:38 [INFO|DP=0|PP=20|TP=0|ip-26-0-171-249]: Local number of parameters: 41.9M (80.01MiB)
[default4]:07/06/2024 09:41:38 [INFO|DP=0|PP=20|TP=0|ip-26-0-171-249]: [After model building] Memory usage: 81.02MiB. Peak allocated: 83.05MiB Peak reserved: 96.00MiB
[default4]:07/06/2024 09:41:38 [INFO|DP=0|PP=20|TP=0|ip-26-0-171-249]: No checkpoint path provided.
[default2]:07/06/2024 09:41:38 [INFO|DP=0|PP=18|TP=0|ip-26-0-171-249]: Local number of parameters: 41.9M (80.01MiB)
[default2]:07/06/2024 09:41:38 [INFO|DP=0|PP=18|TP=0|ip-26-0-171-249]: [After model building] Memory usage: 81.02MiB. Peak allocated: 83.05MiB Peak reserved: 96.00MiB
[default2]:07/06/2024 09:41:38 [INFO|DP=0|PP=18|TP=0|ip-26-0-171-249]: No checkpoint path provided.
[default6]:07/06/2024 09:41:38 [INFO|DP=0|PP=22|TP=0|ip-26-0-171-249]: Local number of parameters: 41.9M (80.01MiB)
[default6]:07/06/2024 09:41:38 [INFO|DP=0|PP=22|TP=0|ip-26-0-171-249]: [After model building] Memory usage: 81.02MiB. Peak allocated: 83.05MiB Peak reserved: 96.00MiB
[default6]:07/06/2024 09:41:38 [INFO|DP=0|PP=22|TP=0|ip-26-0-171-249]: No checkpoint path provided.
[default3]:07/06/2024 09:41:38 [INFO|DP=0|PP=19|TP=0|ip-26-0-171-249]: Local number of parameters: 41.9M (80.01MiB)
[default3]:07/06/2024 09:41:38 [INFO|DP=0|PP=19|TP=0|ip-26-0-171-249]: [After model building] Memory usage: 81.02MiB. Peak allocated: 83.05MiB Peak reserved: 96.00MiB
[default3]:07/06/2024 09:41:38 [INFO|DP=0|PP=19|TP=0|ip-26-0-171-249]: No checkpoint path provided.
[default0]:07/06/2024 09:41:38 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]: [Optimizer Building] Using LearningRateForSP as learning rate
[default0]:07/06/2024 09:41:38 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]: [ZeRO sharding] Size of optimizer params per rank:
[default0]:07/06/2024 09:41:38 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]: [ZeRO sharding] DP Rank 0 has 145M out of 145M (100.00%) params' optimizer states
[default0]:07/06/2024 09:41:39 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]: [Training Plan] Stage Training Stage has 19 remaining training steps and has consumed 0 samples
[default0]:07/06/2024 09:41:39 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]: Using `datasets` library
[default0]:07/06/2024 09:41:39 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]: Loading tokenizer from openai-community/gpt2 and transformers/hf_hub versions ('4.41.2', '0.23.4')
[default1]:Traceback (most recent call last):
[default1]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 233, in <module>
[default1]:    trainer = DistributedTrainer(config_file)
[default1]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 185, in __init__
[default1]:    self.optimizer, self.grad_accumulator = init_optimizer_and_grad_accumulator(
[default1]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/helpers.py", line 401, in init_optimizer_and_grad_accumulator
[default1]:    param = model.get_parameter(optim_model_param_name)
[default1]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 714, in get_parameter
[default1]:    mod: torch.nn.Module = self.get_submodule(module_path)
[default1]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 681, in get_submodule
[default1]:    raise AttributeError(mod._get_name() + " has no "
[default1]:AttributeError: PipelineBlock has no attribute `pp_block`
[default0]:Repo card metadata block was not found. Setting CardData to empty.
[default0]:07/06/2024 09:41:39 [WARNING|DP=0|PP=0|TP=0|ip-26-0-161-78]: Repo card metadata block was not found. Setting CardData to empty.
[2024-07-06 09:41:43,366] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 501362 closing signal SIGTERM
[2024-07-06 09:41:43,366] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 501364 closing signal SIGTERM
[2024-07-06 09:41:43,367] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 501365 closing signal SIGTERM
[2024-07-06 09:41:43,367] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 501366 closing signal SIGTERM
[2024-07-06 09:41:43,368] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 501367 closing signal SIGTERM
[2024-07-06 09:41:43,368] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 501368 closing signal SIGTERM
[2024-07-06 09:41:43,369] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 501369 closing signal SIGTERM
[default4]:07/06/2024 09:41:45 [WARNING|DP=0|PP=12|TP=0|ip-26-0-171-230]: Repo card metadata block was not found. Setting CardData to empty.
[default2]:07/06/2024 09:41:45 [WARNING|DP=0|PP=10|TP=0|ip-26-0-171-230]: Repo card metadata block was not found. Setting CardData to empty.
[default4]:Repo card metadata block was not found. Setting CardData to empty.
[default3]:07/06/2024 09:41:45 [WARNING|DP=0|PP=11|TP=0|ip-26-0-171-230]: Repo card metadata block was not found. Setting CardData to empty.
[default3]:Repo card metadata block was not found. Setting CardData to empty.
[default7]:07/06/2024 09:41:45 [WARNING|DP=0|PP=15|TP=0|ip-26-0-171-230]: Repo card metadata block was not found. Setting CardData to empty.
[default5]:07/06/2024 09:41:45 [WARNING|DP=0|PP=13|TP=0|ip-26-0-171-230]: Repo card metadata block was not found. Setting CardData to empty.
[default2]:Repo card metadata block was not found. Setting CardData to empty.
[default5]:Repo card metadata block was not found. Setting CardData to empty.
[2024-07-06 09:41:45,287] torch.distributed.elastic.multiprocessing.api: [ERROR] failed (exitcode: 1) local_rank: 1 (pid: 501363) of binary: /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10
[default7]:Repo card metadata block was not found. Setting CardData to empty.
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 812, in main
    run(args)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 803, in run
    elastic_launch(
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 135, 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 268, 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      : 2024-07-06_09:41:43
  host      : ip-26-0-175-132.ec2.internal
  rank      : 25 (local_rank: 1)
  exitcode  : 1 (pid: 501363)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
============================================================
[default0]:07/06/2024 09:41:45 [WARNING|DP=0|PP=8|TP=0|ip-26-0-171-230]: Repo card metadata block was not found. Setting CardData to empty.
[default6]:07/06/2024 09:41:45 [WARNING|DP=0|PP=14|TP=0|ip-26-0-171-230]: Repo card metadata block was not found. Setting CardData to empty.
[default0]:Repo card metadata block was not found. Setting CardData to empty.
[default1]:Repo card metadata block was not found. Setting CardData to empty.
[default1]:07/06/2024 09:41:45 [WARNING|DP=0|PP=9|TP=0|ip-26-0-171-230]: Repo card metadata block was not found. Setting CardData to empty.
[default6]:Repo card metadata block was not found. Setting CardData to empty.
srun: error: ip-26-0-175-132: task 4: Exited with exit code 1
[default0]:[rank16]:[E ProcessGroupNCCL.cpp:537] Some NCCL operations have failed or timed out. Due to the asynchronous nature of CUDA kernels, subsequent GPU operations might run on corrupted/incomplete data.
[default0]:[rank16]:[E ProcessGroupNCCL.cpp:543] To avoid data inconsistency, we are taking the entire process down.
[default0]:[rank16]:[E ProcessGroupNCCL.cpp:1182] [Rank 16] NCCL watchdog thread terminated with exception: NCCL error: remote process exited or there was a network error, NCCL version 2.19.3
[default0]:ncclRemoteError: A call failed possibly due to a network error or a remote process exiting prematurely.
[default0]:Last error:
[default0]:socketProgress: Connection closed by remote peer ip-26-0-175-132.ec2.internal<33098>
[default0]:Exception raised from checkForNCCLErrorsInternal at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1436 (most recent call first):
[default0]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f04b87fed87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default0]:frame #1: c10d::ProcessGroupNCCL::checkForNCCLErrorsInternal(std::vector<std::shared_ptr<c10d::NCCLComm>, std::allocator<std::shared_ptr<c10d::NCCLComm> > > const&) + 0x2f3 (0x7f04b99a5fa3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:frame #2: c10d::ProcessGroupNCCL::WorkNCCL::checkAndSetException() + 0x7b (0x7f04b99a627b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:frame #3: c10d::ProcessGroupNCCL::workCleanupLoop() + 0x17d (0x7f04b99a9c1d in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:frame #4: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x119 (0x7f04b99aa839 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:frame #5: <unknown function> + 0xd3e95 (0x7f05036aee95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default0]:frame #6: <unknown function> + 0x8609 (0x7f05087b6609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default0]:frame #7: clone + 0x43 (0x7f0508581353 in /lib/x86_64-linux-gnu/libc.so.6)
[default0]:
[default0]:terminate called after throwing an instance of 'c10::DistBackendError'
[default0]:  what():  [Rank 16] NCCL watchdog thread terminated with exception: NCCL error: remote process exited or there was a network error, NCCL version 2.19.3
[default0]:ncclRemoteError: A call failed possibly due to a network error or a remote process exiting prematurely.
[default0]:Last error:
[default0]:socketProgress: Connection closed by remote peer ip-26-0-175-132.ec2.internal<33098>
[default0]:Exception raised from checkForNCCLErrorsInternal at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1436 (most recent call first):
[default0]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f04b87fed87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default0]:frame #1: c10d::ProcessGroupNCCL::checkForNCCLErrorsInternal(std::vector<std::shared_ptr<c10d::NCCLComm>, std::allocator<std::shared_ptr<c10d::NCCLComm> > > const&) + 0x2f3 (0x7f04b99a5fa3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:frame #2: c10d::ProcessGroupNCCL::WorkNCCL::checkAndSetException() + 0x7b (0x7f04b99a627b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:frame #3: c10d::ProcessGroupNCCL::workCleanupLoop() + 0x17d (0x7f04b99a9c1d in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:frame #4: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x119 (0x7f04b99aa839 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:frame #5: <unknown function> + 0xd3e95 (0x7f05036aee95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default0]:frame #6: <unknown function> + 0x8609 (0x7f05087b6609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default0]:frame #7: clone + 0x43 (0x7f0508581353 in /lib/x86_64-linux-gnu/libc.so.6)
[default0]:
[default0]:Exception raised from ncclCommWatchdog at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1186 (most recent call first):
[default0]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f04b87fed87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default0]:frame #1: <unknown function> + 0xdf6b11 (0x7f04b9700b11 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:frame #2: <unknown function> + 0xd3e95 (0x7f05036aee95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default0]:frame #3: <unknown function> + 0x8609 (0x7f05087b6609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default0]:frame #4: clone + 0x43 (0x7f0508581353 in /lib/x86_64-linux-gnu/libc.so.6)
[default0]:
[default4]:07/06/2024 09:41:50 [WARNING|DP=0|PP=20|TP=0|ip-26-0-171-249]: Repo card metadata block was not found. Setting CardData to empty.
[default5]:07/06/2024 09:41:50 [WARNING|DP=0|PP=21|TP=0|ip-26-0-171-249]: Repo card metadata block was not found. Setting CardData to empty.
[default1]:Repo card metadata block was not found. Setting CardData to empty.
[default1]:07/06/2024 09:41:50 [WARNING|DP=0|PP=17|TP=0|ip-26-0-171-249]: Repo card metadata block was not found. Setting CardData to empty.
[default3]:07/06/2024 09:41:50 [WARNING|DP=0|PP=19|TP=0|ip-26-0-171-249]: Repo card metadata block was not found. Setting CardData to empty.
[default6]:07/06/2024 09:41:50 [WARNING|DP=0|PP=22|TP=0|ip-26-0-171-249]: Repo card metadata block was not found. Setting CardData to empty.
[default6]:Repo card metadata block was not found. Setting CardData to empty.
[default3]:Repo card metadata block was not found. Setting CardData to empty.
[default4]:Repo card metadata block was not found. Setting CardData to empty.
[default7]:Repo card metadata block was not found. Setting CardData to empty.
[default5]:Repo card metadata block was not found. Setting CardData to empty.
[default2]:Repo card metadata block was not found. Setting CardData to empty.
[default7]:07/06/2024 09:41:50 [WARNING|DP=0|PP=23|TP=0|ip-26-0-171-249]: Repo card metadata block was not found. Setting CardData to empty.
[default2]:07/06/2024 09:41:50 [WARNING|DP=0|PP=18|TP=0|ip-26-0-171-249]: Repo card metadata block was not found. Setting CardData to empty.
[default0]:07/06/2024 09:41:52 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]: [Training Plan] There are 1 training stages 
[default0]:07/06/2024 09:41:52 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]: [Stage Training Stage] start from step 1 
[default0]:07/06/2024 09:41:52 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]: 
[default0]:07/06/2024 09:41:52 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]: [Start training] datetime: 2024-07-06 09:41:52.010876 | mbs: 8 | grad_accum: 128 | global_batch_size: 1024 | sequence_length: 4096 | train_steps: 20 | start_iteration_step: 0 | consumed_train_samples: 0
[default7]:07/06/2024 09:41:52 [WARNING|DP=0|PP=7|TP=0|ip-26-0-161-78]: 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.
[default5]:07/06/2024 09:41:52 [WARNING|DP=0|PP=5|TP=0|ip-26-0-161-78]: Repo card metadata block was not found. Setting CardData to empty.
[default1]:07/06/2024 09:41:52 [WARNING|DP=0|PP=41|TP=0|ip-26-0-175-170]: Repo card metadata block was not found. Setting CardData to empty.
[default6]:07/06/2024 09:41:52 [WARNING|DP=0|PP=46|TP=0|ip-26-0-175-170]: Repo card metadata block was not found. Setting CardData to empty.
[default2]:07/06/2024 09:41:52 [WARNING|DP=0|PP=2|TP=0|ip-26-0-161-78]: Repo card metadata block was not found. Setting CardData to empty.
[default2]:Repo card metadata block was not found. Setting CardData to empty.
[default1]:07/06/2024 09:41:52 [WARNING|DP=0|PP=1|TP=0|ip-26-0-161-78]: Repo card metadata block was not found. Setting CardData to empty.
[default4]:07/06/2024 09:41:52 [WARNING|DP=0|PP=4|TP=0|ip-26-0-161-78]: Repo card metadata block was not found. Setting CardData to empty.
[default1]:Repo card metadata block was not found. Setting CardData to empty.
[default1]:Repo card metadata block was not found. Setting CardData to empty.
[default4]:07/06/2024 09:41:52 [WARNING|DP=0|PP=60|TP=0|ip-26-0-175-34]: Repo card metadata block was not found. Setting CardData to empty.
[default4]:Repo card metadata block was not found. Setting CardData to empty.
[default2]:07/06/2024 09:41:52 [WARNING|DP=0|PP=50|TP=0|ip-26-0-175-241]: Repo card metadata block was not found. Setting CardData to empty.
[default5]: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.
[default6]:Repo card metadata block was not found. Setting CardData to empty.
[default7]:Repo card metadata block was not found. Setting CardData to empty.
[default5]:07/06/2024 09:41:52 [WARNING|DP=0|PP=45|TP=0|ip-26-0-175-170]: Repo card metadata block was not found. Setting CardData to empty.
[default6]:07/06/2024 09:41:52 [WARNING|DP=0|PP=6|TP=0|ip-26-0-161-78]: Repo card metadata block was not found. Setting CardData to empty.
[default3]:07/06/2024 09:41:52 [WARNING|DP=0|PP=3|TP=0|ip-26-0-161-78]: Repo card metadata block was not found. Setting CardData to empty.
[default3]:07/06/2024 09:41:52 [WARNING|DP=0|PP=59|TP=0|ip-26-0-175-34]: Repo card metadata block was not found. Setting CardData to empty.
[default2]:Repo card metadata block was not found. Setting CardData to empty.
[default0]:07/06/2024 09:41:52 [WARNING|DP=0|PP=56|TP=0|ip-26-0-175-34]: Repo card metadata block was not found. Setting CardData to empty.
[default3]:Repo card metadata block was not found. Setting CardData to empty.
[default4]:Repo card metadata block was not found. Setting CardData to empty.
[default7]:07/06/2024 09:41:52 [WARNING|DP=0|PP=47|TP=0|ip-26-0-175-170]: Repo card metadata block was not found. Setting CardData to empty.
[default0]:Repo card metadata block was not found. Setting CardData to empty.
[default0]:07/06/2024 09:41:52 [WARNING|DP=0|PP=40|TP=0|ip-26-0-175-170]: Repo card metadata block was not found. Setting CardData to empty.
[default3]:07/06/2024 09:41:52 [WARNING|DP=0|PP=43|TP=0|ip-26-0-175-170]: Repo card metadata block was not found. Setting CardData to empty.
[default7]:07/06/2024 09:41:52 [WARNING|DP=0|PP=55|TP=0|ip-26-0-175-241]: Repo card metadata block was not found. Setting CardData to empty.
[default0]:Repo card metadata block was not found. Setting CardData to empty.
[default1]:Repo card metadata block was not found. Setting CardData to empty.
[default5]:07/06/2024 09:41:52 [WARNING|DP=0|PP=61|TP=0|ip-26-0-175-34]: Repo card metadata block was not found. Setting CardData to empty.
[default1]:Repo card metadata block was not found. Setting CardData to empty.
[default7]:Repo card metadata block was not found. Setting CardData to empty.
[default2]:07/06/2024 09:41:52 [WARNING|DP=0|PP=58|TP=0|ip-26-0-175-34]: Repo card metadata block was not found. Setting CardData to empty.
[default3]:Repo card metadata block was not found. Setting CardData to empty.
[default1]:07/06/2024 09:41:52 [WARNING|DP=0|PP=57|TP=0|ip-26-0-175-34]: Repo card metadata block was not found. Setting CardData to empty.
[default7]:07/06/2024 09:41:52 [WARNING|DP=0|PP=63|TP=0|ip-26-0-175-34]: Repo card metadata block was not found. Setting CardData to empty.
[default3]:07/06/2024 09:41:52 [WARNING|DP=0|PP=51|TP=0|ip-26-0-175-241]: Repo card metadata block was not found. Setting CardData to empty.
[default1]:07/06/2024 09:41:52 [WARNING|DP=0|PP=49|TP=0|ip-26-0-175-241]: Repo card metadata block was not found. Setting CardData to empty.
[default5]:Repo card metadata block was not found. Setting CardData to empty.
[default2]:07/06/2024 09:41:52 [WARNING|DP=0|PP=42|TP=0|ip-26-0-175-170]: Repo card metadata block was not found. Setting CardData to empty.
[default2]:Repo card metadata block was not found. Setting CardData to empty.
[default3]:Repo card metadata block was not found. Setting CardData to empty.
[default6]:Repo card metadata block was not found. Setting CardData to empty.
[default4]:07/06/2024 09:41:52 [WARNING|DP=0|PP=44|TP=0|ip-26-0-175-170]: Repo card metadata block was not found. Setting CardData to empty.
[default7]:Repo card metadata block was not found. Setting CardData to empty.
[default3]:Repo card metadata block was not found. Setting CardData to empty.
[default4]:Repo card metadata block was not found. Setting CardData to empty.
[default5]:Repo card metadata block was not found. Setting CardData to empty.
[default4]:07/06/2024 09:41:52 [WARNING|DP=0|PP=52|TP=0|ip-26-0-175-241]: Repo card metadata block was not found. Setting CardData to empty.
[default5]:07/06/2024 09:41:52 [WARNING|DP=0|PP=53|TP=0|ip-26-0-175-241]: Repo card metadata block was not found. Setting CardData to empty.
[default6]:07/06/2024 09:41:52 [WARNING|DP=0|PP=54|TP=0|ip-26-0-175-241]: Repo card metadata block was not found. Setting CardData to empty.
[default6]:Repo card metadata block was not found. Setting CardData to empty.
[2024-07-06 09:41:53,382] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 2918287 closing signal SIGTERM
[2024-07-06 09:41:53,382] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 2918288 closing signal SIGTERM
[2024-07-06 09:41:53,383] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 2918289 closing signal SIGTERM
[2024-07-06 09:41:53,384] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 2918290 closing signal SIGTERM
[2024-07-06 09:41:53,385] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 2918291 closing signal SIGTERM
[2024-07-06 09:41:53,385] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 2918292 closing signal SIGTERM
[2024-07-06 09:41:53,386] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 2918293 closing signal SIGTERM
[2024-07-06 09:41:55,803] torch.distributed.elastic.multiprocessing.api: [ERROR] failed (exitcode: -6) local_rank: 0 (pid: 2918286) 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 812, in main
    run(args)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 803, in run
    elastic_launch(
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 135, 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 268, 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      : 2024-07-06_09:41:53
  host      : ip-26-0-171-249.ec2.internal
  rank      : 16 (local_rank: 0)
  exitcode  : -6 (pid: 2918286)
  error_file: <N/A>
  traceback : Signal 6 (SIGABRT) received by PID 2918286
============================================================
srun: error: ip-26-0-171-249: task 2: Exited with exit code 1
[default1]:[rank33]:[E ProcessGroupNCCL.cpp:537] Some NCCL operations have failed or timed out. Due to the asynchronous nature of CUDA kernels, subsequent GPU operations might run on corrupted/incomplete data.
[default1]:[rank33]:[E ProcessGroupNCCL.cpp:543] To avoid data inconsistency, we are taking the entire process down.
[default1]:[rank33]:[E ProcessGroupNCCL.cpp:1182] [Rank 33] NCCL watchdog thread terminated with exception: NCCL error: remote process exited or there was a network error, NCCL version 2.19.3
[default1]:ncclRemoteError: A call failed possibly due to a network error or a remote process exiting prematurely.
[default1]:Last error:
[default1]:socketProgress: Connection closed by remote peer ip-26-0-171-249.ec2.internal<44526>
[default1]:Exception raised from checkForNCCLErrorsInternal at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1436 (most recent call first):
[default1]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f1e24037d87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default1]:frame #1: c10d::ProcessGroupNCCL::checkForNCCLErrorsInternal(std::vector<std::shared_ptr<c10d::NCCLComm>, std::allocator<std::shared_ptr<c10d::NCCLComm> > > const&) + 0x2f3 (0x7f1e251defa3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default1]:frame #2: c10d::ProcessGroupNCCL::WorkNCCL::checkAndSetException() + 0x7b (0x7f1e251df27b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default1]:frame #3: c10d::ProcessGroupNCCL::workCleanupLoop() + 0x17d (0x7f1e251e2c1d in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default1]:frame #4: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x119 (0x7f1e251e3839 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default1]:frame #5: <unknown function> + 0xd3e95 (0x7f1e6eee7e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default1]:frame #6: <unknown function> + 0x8609 (0x7f1e73fef609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default1]:frame #7: clone + 0x43 (0x7f1e73dba353 in /lib/x86_64-linux-gnu/libc.so.6)
[default1]:
[default1]:terminate called after throwing an instance of 'c10::DistBackendError'
[default1]:  what():  [Rank 33] NCCL watchdog thread terminated with exception: NCCL error: remote process exited or there was a network error, NCCL version 2.19.3
[default1]:ncclRemoteError: A call failed possibly due to a network error or a remote process exiting prematurely.
[default1]:Last error:
[default1]:socketProgress: Connection closed by remote peer ip-26-0-171-249.ec2.internal<44526>
[default1]:Exception raised from checkForNCCLErrorsInternal at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1436 (most recent call first):
[default1]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f1e24037d87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default1]:frame #1: c10d::ProcessGroupNCCL::checkForNCCLErrorsInternal(std::vector<std::shared_ptr<c10d::NCCLComm>, std::allocator<std::shared_ptr<c10d::NCCLComm> > > const&) + 0x2f3 (0x7f1e251defa3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default1]:frame #2: c10d::ProcessGroupNCCL::WorkNCCL::checkAndSetException() + 0x7b (0x7f1e251df27b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default1]:frame #3: c10d::ProcessGroupNCCL::workCleanupLoop() + 0x17d (0x7f1e251e2c1d in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default1]:frame #4: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x119 (0x7f1e251e3839 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default1]:frame #5: <unknown function> + 0xd3e95 (0x7f1e6eee7e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default1]:frame #6: <unknown function> + 0x8609 (0x7f1e73fef609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default1]:frame #7: clone + 0x43 (0x7f1e73dba353 in /lib/x86_64-linux-gnu/libc.so.6)
[default1]:
[default1]:Exception raised from ncclCommWatchdog at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1186 (most recent call first):
[default1]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f1e24037d87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default1]:frame #1: <unknown function> + 0xdf6b11 (0x7f1e24f39b11 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default1]:frame #2: <unknown function> + 0xd3e95 (0x7f1e6eee7e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default1]:frame #3: <unknown function> + 0x8609 (0x7f1e73fef609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default1]:frame #4: clone + 0x43 (0x7f1e73dba353 in /lib/x86_64-linux-gnu/libc.so.6)
[default1]:
[default6]:Repo card metadata block was not found. Setting CardData to empty.
[default6]:07/06/2024 09:41:57 [WARNING|DP=0|PP=62|TP=0|ip-26-0-175-34]: Repo card metadata block was not found. Setting CardData to empty.
[2024-07-06 09:41:58,381] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 2147387 closing signal SIGTERM
[2024-07-06 09:41:58,381] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 2147389 closing signal SIGTERM
[2024-07-06 09:41:58,381] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 2147390 closing signal SIGTERM
[2024-07-06 09:41:58,382] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 2147391 closing signal SIGTERM
[2024-07-06 09:41:58,382] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 2147392 closing signal SIGTERM
[2024-07-06 09:41:58,383] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 2147393 closing signal SIGTERM
[2024-07-06 09:41:58,383] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 2147394 closing signal SIGTERM
[default0]:[rank8]:[E ProcessGroupNCCL.cpp:537] Some NCCL operations have failed or timed out. Due to the asynchronous nature of CUDA kernels, subsequent GPU operations might run on corrupted/incomplete data.
[default0]:[rank8]:[E ProcessGroupNCCL.cpp:543] To avoid data inconsistency, we are taking the entire process down.
[default0]:[rank8]:[E ProcessGroupNCCL.cpp:1182] [Rank 8] NCCL watchdog thread terminated with exception: NCCL error: remote process exited or there was a network error, NCCL version 2.19.3
[default0]:ncclRemoteError: A call failed possibly due to a network error or a remote process exiting prematurely.
[default0]:Last error:
[default0]:socketProgress: Connection closed by remote peer ip-26-0-171-249.ec2.internal<44286>
[default0]:Exception raised from checkForNCCLErrorsInternal at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1436 (most recent call first):
[default0]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f437d477d87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default0]:frame #1: c10d::ProcessGroupNCCL::checkForNCCLErrorsInternal(std::vector<std::shared_ptr<c10d::NCCLComm>, std::allocator<std::shared_ptr<c10d::NCCLComm> > > const&) + 0x2f3 (0x7f437e61efa3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:frame #2: c10d::ProcessGroupNCCL::WorkNCCL::checkAndSetException() + 0x7b (0x7f437e61f27b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:frame #3: c10d::ProcessGroupNCCL::workCleanupLoop() + 0x17d (0x7f437e622c1d in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:frame #4: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x119 (0x7f437e623839 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:frame #5: <unknown function> + 0xd3e95 (0x7f43c8327e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default0]:frame #6: <unknown function> + 0x8609 (0x7f43cd42f609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default0]:frame #7: clone + 0x43 (0x7f43cd1fa353 in /lib/x86_64-linux-gnu/libc.so.6)
[default0]:
[default0]:terminate called after throwing an instance of 'c10::DistBackendError'
[default0]:  what():  [Rank 8] NCCL watchdog thread terminated with exception: NCCL error: remote process exited or there was a network error, NCCL version 2.19.3
[default0]:ncclRemoteError: A call failed possibly due to a network error or a remote process exiting prematurely.
[default0]:Last error:
[default0]:socketProgress: Connection closed by remote peer ip-26-0-171-249.ec2.internal<44286>
[default0]:Exception raised from checkForNCCLErrorsInternal at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1436 (most recent call first):
[default0]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f437d477d87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default0]:frame #1: c10d::ProcessGroupNCCL::checkForNCCLErrorsInternal(std::vector<std::shared_ptr<c10d::NCCLComm>, std::allocator<std::shared_ptr<c10d::NCCLComm> > > const&) + 0x2f3 (0x7f437e61efa3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:frame #2: c10d::ProcessGroupNCCL::WorkNCCL::checkAndSetException() + 0x7b (0x7f437e61f27b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:frame #3: c10d::ProcessGroupNCCL::workCleanupLoop() + 0x17d (0x7f437e622c1d in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:frame #4: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x119 (0x7f437e623839 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:frame #5: <unknown function> + 0xd3e95 (0x7f43c8327e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default0]:frame #6: <unknown function> + 0x8609 (0x7f43cd42f609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default0]:frame #7: clone + 0x43 (0x7f43cd1fa353 in /lib/x86_64-linux-gnu/libc.so.6)
[default0]:
[default0]:Exception raised from ncclCommWatchdog at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1186 (most recent call first):
[default0]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f437d477d87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default0]:frame #1: <unknown function> + 0xdf6b11 (0x7f437e379b11 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:frame #2: <unknown function> + 0xd3e95 (0x7f43c8327e95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default0]:frame #3: <unknown function> + 0x8609 (0x7f43cd42f609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default0]:frame #4: clone + 0x43 (0x7f43cd1fa353 in /lib/x86_64-linux-gnu/libc.so.6)
[default0]:
[default0]:07/06/2024 09:41:59 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]: Resuming training from stage Training Stage, it has trained for 0 samples and has 19 remaining train steps
[default0]:07/06/2024 09:41:59 [INFO|DP=0|PP=0|TP=0|ip-26-0-161-78]:  Memory usage: 1382.63MiB. Peak allocated 1382.63MiB. Peak reserved: 1402.00MiB
[2024-07-06 09:42:00,503] torch.distributed.elastic.multiprocessing.api: [ERROR] failed (exitcode: -6) local_rank: 1 (pid: 2147388) 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 812, in main
    run(args)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 803, in run
    elastic_launch(
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 135, 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 268, 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      : 2024-07-06_09:41:58
  host      : ip-26-0-175-165.ec2.internal
  rank      : 33 (local_rank: 1)
  exitcode  : -6 (pid: 2147388)
  error_file: <N/A>
  traceback : Signal 6 (SIGABRT) received by PID 2147388
============================================================
srun: error: ip-26-0-175-165: task 5: Exited with exit code 1
[2024-07-06 09:42:03,394] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 3249911 closing signal SIGTERM
[2024-07-06 09:42:03,394] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 3249912 closing signal SIGTERM
[2024-07-06 09:42:03,395] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 3249913 closing signal SIGTERM
[2024-07-06 09:42:03,395] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 3249914 closing signal SIGTERM
[2024-07-06 09:42:03,396] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 3249915 closing signal SIGTERM
[2024-07-06 09:42:03,396] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 3249916 closing signal SIGTERM
[2024-07-06 09:42:03,397] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 3249917 closing signal SIGTERM
[default0]:[rank0]:[E ProcessGroupNCCL.cpp:537] Some NCCL operations have failed or timed out. Due to the asynchronous nature of CUDA kernels, subsequent GPU operations might run on corrupted/incomplete data.
[default0]:[rank0]:[E ProcessGroupNCCL.cpp:543] To avoid data inconsistency, we are taking the entire process down.
[default0]:[rank0]:[E ProcessGroupNCCL.cpp:1182] [Rank 0] NCCL watchdog thread terminated with exception: NCCL error: remote process exited or there was a network error, NCCL version 2.19.3
[default0]:ncclRemoteError: A call failed possibly due to a network error or a remote process exiting prematurely.
[default0]:Last error:
[default0]:socketProgress: Connection closed by remote peer ip-26-0-175-165.ec2.internal<52262>
[default0]:Exception raised from checkForNCCLErrorsInternal at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1436 (most recent call first):
[default0]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fd6e3b7bd87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default0]:frame #1: c10d::ProcessGroupNCCL::checkForNCCLErrorsInternal(std::vector<std::shared_ptr<c10d::NCCLComm>, std::allocator<std::shared_ptr<c10d::NCCLComm> > > const&) + 0x2f3 (0x7fd6e4d22fa3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:frame #2: c10d::ProcessGroupNCCL::WorkNCCL::checkAndSetException() + 0x7b (0x7fd6e4d2327b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:frame #3: c10d::ProcessGroupNCCL::workCleanupLoop() + 0x17d (0x7fd6e4d26c1d in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:frame #4: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x119 (0x7fd6e4d27839 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:frame #5: <unknown function> + 0xd3e95 (0x7fd72ea2be95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default0]:frame #6: <unknown function> + 0x8609 (0x7fd733b33609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default0]:frame #7: clone + 0x43 (0x7fd7338fe353 in /lib/x86_64-linux-gnu/libc.so.6)
[default0]:
[default0]:terminate called after throwing an instance of 'c10::DistBackendError'
[default0]:  what():  [Rank 0] NCCL watchdog thread terminated with exception: NCCL error: remote process exited or there was a network error, NCCL version 2.19.3
[default0]:ncclRemoteError: A call failed possibly due to a network error or a remote process exiting prematurely.
[default0]:Last error:
[default0]:socketProgress: Connection closed by remote peer ip-26-0-175-165.ec2.internal<52262>
[default0]:Exception raised from checkForNCCLErrorsInternal at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1436 (most recent call first):
[default0]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fd6e3b7bd87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default0]:frame #1: c10d::ProcessGroupNCCL::checkForNCCLErrorsInternal(std::vector<std::shared_ptr<c10d::NCCLComm>, std::allocator<std::shared_ptr<c10d::NCCLComm> > > const&) + 0x2f3 (0x7fd6e4d22fa3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:frame #2: c10d::ProcessGroupNCCL::WorkNCCL::checkAndSetException() + 0x7b (0x7fd6e4d2327b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:frame #3: c10d::ProcessGroupNCCL::workCleanupLoop() + 0x17d (0x7fd6e4d26c1d in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:frame #4: c10d::ProcessGroupNCCL::ncclCommWatchdog() + 0x119 (0x7fd6e4d27839 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:frame #5: <unknown function> + 0xd3e95 (0x7fd72ea2be95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default0]:frame #6: <unknown function> + 0x8609 (0x7fd733b33609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default0]:frame #7: clone + 0x43 (0x7fd7338fe353 in /lib/x86_64-linux-gnu/libc.so.6)
[default0]:
[default0]:Exception raised from ncclCommWatchdog at ../torch/csrc/distributed/c10d/ProcessGroupNCCL.cpp:1186 (most recent call first):
[default0]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fd6e3b7bd87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default0]:frame #1: <unknown function> + 0xdf6b11 (0x7fd6e4a7db11 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default0]:frame #2: <unknown function> + 0xd3e95 (0x7fd72ea2be95 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/../lib/libstdc++.so.6)
[default0]:frame #3: <unknown function> + 0x8609 (0x7fd733b33609 in /lib/x86_64-linux-gnu/libpthread.so.0)
[default0]:frame #4: clone + 0x43 (0x7fd7338fe353 in /lib/x86_64-linux-gnu/libc.so.6)
[default0]:
[2024-07-06 09:42:05,612] torch.distributed.elastic.multiprocessing.api: [ERROR] failed (exitcode: -6) local_rank: 0 (pid: 3249910) 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 812, in main
    run(args)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 803, in run
    elastic_launch(
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 135, 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 268, 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      : 2024-07-06_09:42:03
  host      : ip-26-0-171-230.ec2.internal
  rank      : 8 (local_rank: 0)
  exitcode  : -6 (pid: 3249910)
  error_file: <N/A>
  traceback : Signal 6 (SIGABRT) received by PID 3249910
============================================================
[default4]:Traceback (most recent call last):
[default4]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default4]:    trainer.train(dataloader)
[default4]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 430, in train
[default4]:    outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default4]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 459, in training_step
[default4]:    outputs = self.pipeline_engine.train_batch_iter(
[default4]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 187, in train_batch_iter
[default4]:    output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default4]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default4]:    output = model(**micro_batch)
[default4]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default4]:    return self._call_impl(*args, **kwargs)
[default4]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default4]:    return forward_call(*args, **kwargs)
[default4]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 890, in forward
[default4]:    sharded_logits = self.model(
[default4]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default4]:    return self._call_impl(*args, **kwargs)
[default4]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default4]:    return forward_call(*args, **kwargs)
[default4]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default4]:    return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default4]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default4]:    hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default4]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default4]:    return self._call_impl(*args, **kwargs)
[default4]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default4]:    return forward_call(*args, **kwargs)
[default4]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default4]:    new_kwargs[name] = recv_from_pipeline_state_buffer(
[default4]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default4]:    pipeline_state.run_communication()
[default4]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default4]:    recv_activation_tensor = recv_activation()
[default4]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default4]:    return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default4]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default4]:    buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default4]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default4]:    meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default4]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default4]:    dist.recv(
[default4]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 72, in wrapper
[default4]:    return func(*args, **kwargs)
[default4]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1706, in recv
[default4]:    pg.recv([tensor], group_src_rank, tag).wait()
[default4]: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
[default4]:Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:670 (most recent call first):
[default4]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f7911132d87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default4]:frame #1: <unknown function> + 0x589518e (0x7f79490ec18e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x360 (0x7f79490e69a0 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f79490e6ce2 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f79490e7b11 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f794909cf81 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f794909cf81 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f794909cf81 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f794909cf81 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f79122dac69 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default4]:frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, std::vector<c10::Device, std::allocator<c10::Device> > const&, c10d::OpType, int, bool) + 0x22b (0x7f79122e1c5b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default4]:frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x550 (0x7f7912304b60 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default4]:frame #12: <unknown function> + 0x5838439 (0x7f794908f439 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:frame #13: <unknown function> + 0x5843330 (0x7f794909a330 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:frame #14: <unknown function> + 0x58433c5 (0x7f794909a3c5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:frame #15: <unknown function> + 0x4e893cc (0x7f79486e03cc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:frame #16: <unknown function> + 0x1a08a88 (0x7f794525fa88 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:frame #17: <unknown function> + 0x5849a84 (0x7f79490a0a84 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:frame #18: <unknown function> + 0x584ed35 (0x7f79490a5d35 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default4]:frame #19: <unknown function> + 0xc97eee (0x7f795b957eee in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default4]:frame #20: <unknown function> + 0x413ea4 (0x7f795b0d3ea4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default4]:frame #21: <unknown function> + 0x1445a6 (0x55f7a67585a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #22: _PyObject_MakeTpCall + 0x26b (0x55f7a6751a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #23: <unknown function> + 0x150866 (0x55f7a6764866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55f7a674d142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #25: _PyFunction_Vectorcall + 0x6c (0x55f7a6758a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #26: PyObject_Call + 0xbc (0x55f7a6764f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55f7a674b2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #28: _PyFunction_Vectorcall + 0x6c (0x55f7a6758a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55f7a67498fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #30: <unknown function> + 0x150582 (0x55f7a6764582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55f7a67498fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #32: <unknown function> + 0x150582 (0x55f7a6764582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55f7a67498fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #34: <unknown function> + 0x150582 (0x55f7a6764582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x55f7a67498fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x55f7a6750f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #37: _PyObject_Call_Prepend + 0x69 (0x55f7a6762c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #38: <unknown function> + 0x211239 (0x55f7a6825239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #39: _PyObject_MakeTpCall + 0x26b (0x55f7a6751a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x55f7a674d3e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #41: _PyFunction_Vectorcall + 0x6c (0x55f7a6758a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #42: _PyEval_EvalFrameDefault + 0x72c (0x55f7a6748c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #43: _PyFunction_Vectorcall + 0x6c (0x55f7a6758a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x55f7a67498fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #45: <unknown function> + 0x150582 (0x55f7a6764582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #46: PyObject_Call + 0xbc (0x55f7a6764f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55f7a674b2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #48: <unknown function> + 0x150582 (0x55f7a6764582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #49: PyObject_Call + 0xbc (0x55f7a6764f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55f7a674b2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #51: _PyFunction_Vectorcall + 0x6c (0x55f7a6758a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55f7a6751007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #53: _PyObject_Call_Prepend + 0x69 (0x55f7a6762c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #54: <unknown function> + 0x211239 (0x55f7a6825239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #55: PyObject_Call + 0x207 (0x55f7a6765067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x55f7a674b2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #57: <unknown function> + 0x150582 (0x55f7a6764582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55f7a67498fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #59: <unknown function> + 0x150582 (0x55f7a6764582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #60: PyObject_Call + 0xbc (0x55f7a6764f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55f7a674b2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #62: <unknown function> + 0x150582 (0x55f7a6764582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:frame #63: PyObject_Call + 0xbc (0x55f7a6764f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default4]:. This may indicate a possible application crash on rank 0 or a network set up issue.
[default5]:Traceback (most recent call last):
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default5]:    trainer.train(dataloader)
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 430, in train
[default5]:    outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 459, in training_step
[default5]:    outputs = self.pipeline_engine.train_batch_iter(
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 187, in train_batch_iter
[default5]:    output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default5]:    output = model(**micro_batch)
[default5]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default5]:    return self._call_impl(*args, **kwargs)
[default5]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default5]:    return forward_call(*args, **kwargs)
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 890, in forward
[default5]:    sharded_logits = self.model(
[default5]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default5]:    return self._call_impl(*args, **kwargs)
[default5]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default5]:    return forward_call(*args, **kwargs)
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default5]:    return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default5]:    hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default5]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default5]:    return self._call_impl(*args, **kwargs)
[default5]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default5]:    return forward_call(*args, **kwargs)
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default5]:    new_kwargs[name] = recv_from_pipeline_state_buffer(
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default5]:    pipeline_state.run_communication()
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default5]:    recv_activation_tensor = recv_activation()
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default5]:    return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default5]:    buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default5]:    meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default5]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default5]:    dist.recv(
[default5]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 72, in wrapper
[default5]:    return func(*args, **kwargs)
[default5]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1706, in recv
[default5]:    pg.recv([tensor], group_src_rank, tag).wait()
[default5]: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
[default5]:Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:670 (most recent call first):
[default5]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f9194dadd87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default5]:frame #1: <unknown function> + 0x589518e (0x7f91ccd6718e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x360 (0x7f91ccd619a0 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f91ccd61ce2 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f91ccd62b11 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f91ccd17f81 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f91ccd17f81 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f91ccd17f81 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f91ccd17f81 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f9195f55c69 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default5]:frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, std::vector<c10::Device, std::allocator<c10::Device> > const&, c10d::OpType, int, bool) + 0x22b (0x7f9195f5cc5b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default5]:frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x550 (0x7f9195f7fb60 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default5]:frame #12: <unknown function> + 0x5838439 (0x7f91ccd0a439 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:frame #13: <unknown function> + 0x5843330 (0x7f91ccd15330 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:frame #14: <unknown function> + 0x58433c5 (0x7f91ccd153c5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:frame #15: <unknown function> + 0x4e893cc (0x7f91cc35b3cc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:frame #16: <unknown function> + 0x1a08a88 (0x7f91c8edaa88 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:frame #17: <unknown function> + 0x5849a84 (0x7f91ccd1ba84 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:frame #18: <unknown function> + 0x584ed35 (0x7f91ccd20d35 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default5]:frame #19: <unknown function> + 0xc97eee (0x7f91df5d2eee in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default5]:frame #20: <unknown function> + 0x413ea4 (0x7f91ded4eea4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default5]:frame #21: <unknown function> + 0x1445a6 (0x55c7d2d1f5a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #22: _PyObject_MakeTpCall + 0x26b (0x55c7d2d18a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #23: <unknown function> + 0x150866 (0x55c7d2d2b866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55c7d2d14142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #25: _PyFunction_Vectorcall + 0x6c (0x55c7d2d1fa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #26: PyObject_Call + 0xbc (0x55c7d2d2bf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55c7d2d122b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #28: _PyFunction_Vectorcall + 0x6c (0x55c7d2d1fa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55c7d2d108fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #30: <unknown function> + 0x150582 (0x55c7d2d2b582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55c7d2d108fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #32: <unknown function> + 0x150582 (0x55c7d2d2b582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55c7d2d108fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #34: <unknown function> + 0x150582 (0x55c7d2d2b582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x55c7d2d108fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x55c7d2d17f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #37: _PyObject_Call_Prepend + 0x69 (0x55c7d2d29c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #38: <unknown function> + 0x211239 (0x55c7d2dec239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #39: _PyObject_MakeTpCall + 0x26b (0x55c7d2d18a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x55c7d2d143e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #41: _PyFunction_Vectorcall + 0x6c (0x55c7d2d1fa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #42: _PyEval_EvalFrameDefault + 0x72c (0x55c7d2d0fc5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #43: _PyFunction_Vectorcall + 0x6c (0x55c7d2d1fa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x55c7d2d108fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #45: <unknown function> + 0x150582 (0x55c7d2d2b582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #46: PyObject_Call + 0xbc (0x55c7d2d2bf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55c7d2d122b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #48: <unknown function> + 0x150582 (0x55c7d2d2b582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #49: PyObject_Call + 0xbc (0x55c7d2d2bf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55c7d2d122b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #51: _PyFunction_Vectorcall + 0x6c (0x55c7d2d1fa2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55c7d2d18007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #53: _PyObject_Call_Prepend + 0x69 (0x55c7d2d29c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #54: <unknown function> + 0x211239 (0x55c7d2dec239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #55: PyObject_Call + 0x207 (0x55c7d2d2c067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x55c7d2d122b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #57: <unknown function> + 0x150582 (0x55c7d2d2b582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55c7d2d108fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #59: <unknown function> + 0x150582 (0x55c7d2d2b582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #60: PyObject_Call + 0xbc (0x55c7d2d2bf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55c7d2d122b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #62: <unknown function> + 0x150582 (0x55c7d2d2b582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:frame #63: PyObject_Call + 0xbc (0x55c7d2d2bf1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default5]:. This may indicate a possible application crash on rank 0 or a network set up issue.
[default6]:Traceback (most recent call last):
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default6]:    trainer.train(dataloader)
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 430, in train
[default6]:    outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 459, in training_step
[default6]:    outputs = self.pipeline_engine.train_batch_iter(
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 187, in train_batch_iter
[default6]:    output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default6]:    output = model(**micro_batch)
[default6]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default6]:    return self._call_impl(*args, **kwargs)
[default6]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default7]:Traceback (most recent call last):
[default7]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py", line 237, in <module>
[default6]:    return forward_call(*args, **kwargs)
[default7]:    trainer.train(dataloader)
[default7]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 430, in train
[default7]:    outputs, loss_avg = self.training_step(dataloader=self.current_dataloader)
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 890, in forward
[default7]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/trainer.py", line 459, in training_step
[default7]:    outputs = self.pipeline_engine.train_batch_iter(
[default7]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 187, in train_batch_iter
[default6]:    sharded_logits = self.model(
[default7]:    output = self.forward(context=context, state=state, micro_batch=micro_batch, model=model)
[default7]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/engine.py", line 44, in forward
[default7]:    output = model(**micro_batch)
[default7]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default7]:    return self._call_impl(*args, **kwargs)
[default7]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default7]:    return forward_call(*args, **kwargs)
[default7]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 890, in forward
[default7]:    sharded_logits = self.model(
[default6]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default6]:    return self._call_impl(*args, **kwargs)
[default7]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default7]:    return self._call_impl(*args, **kwargs)
[default7]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default7]:    return forward_call(*args, **kwargs)
[default7]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default7]:    return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default7]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default7]:    hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default7]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default7]:    return self._call_impl(*args, **kwargs)
[default7]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default6]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default6]:    return forward_call(*args, **kwargs)
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 764, in forward
[default7]:    return forward_call(*args, **kwargs)
[default7]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default7]:    new_kwargs[name] = recv_from_pipeline_state_buffer(
[default6]:    return self.forward_with_hidden_states(input_ids=input_ids, input_mask=input_mask)[0]
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/models/llama.py", line 780, in forward_with_hidden_states
[default7]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default7]:    pipeline_state.run_communication()
[default6]:    hidden_encoder_states = encoder_block(**hidden_encoder_states)
[default6]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1511, in _wrapped_call_impl
[default6]:    return self._call_impl(*args, **kwargs)
[default6]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1520, in _call_impl
[default6]:    return forward_call(*args, **kwargs)
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/block.py", line 126, in forward
[default6]:    new_kwargs[name] = recv_from_pipeline_state_buffer(
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/functional.py", line 117, in recv_from_pipeline_state_buffer
[default6]:    pipeline_state.run_communication()
[default7]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 150, in run_communication
[default6]:    recv_activation_tensor = recv_activation()
[default7]:    recv_activation_tensor = recv_activation()
[default7]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default7]:    return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default7]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default7]:    buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/state.py", line 31, in __call__
[default7]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default6]:    return self.p2p.recv_tensors(num_tensors=1, from_rank=self.from_rank)[0]
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 353, in recv_tensors
[default7]:    meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default7]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default6]:    buffers, futures = self.irecv_tensors(num_tensors=num_tensors, from_rank=from_rank, tag=tag)
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 326, in irecv_tensors
[default6]:    meta = self._recv_meta(from_rank=from_rank, tag=tag)
[default7]:    dist.recv(
[default7]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 72, in wrapper
[default6]:  File "/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/src/nanotron/parallel/pipeline_parallel/p2p.py", line 246, in _recv_meta
[default6]:    dist.recv(
[default7]:    return func(*args, **kwargs)
[default7]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1706, in recv
[default6]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/c10d_logger.py", line 72, in wrapper
[default6]:    return func(*args, **kwargs)
[default6]:  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/distributed_c10d.py", line 1706, in recv
[default6]:    pg.recv([tensor], group_src_rank, tag).wait()
[default7]:    pg.recv([tensor], group_src_rank, tag).wait()
[default6]: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
[default6]:Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:670 (most recent call first):
[default7]: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]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7fbf77734d87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default6]:frame #1: <unknown function> + 0x589518e (0x7fbfaf6ee18e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x360 (0x7fbfaf6e89a0 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7fbfaf6e8ce2 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7fbfaf6e9b11 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fbfaf69ef81 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fbfaf69ef81 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fbfaf69ef81 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7fbfaf69ef81 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:Exception raised from recvBytes at ../torch/csrc/distributed/c10d/Utils.hpp:670 (most recent call first):
[default6]:frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7fbf788dcc69 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default7]:frame #0: c10::Error::Error(c10::SourceLocation, std::string) + 0x57 (0x7f93846cbd87 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libc10.so)
[default7]:frame #1: <unknown function> + 0x589518e (0x7f93bc68518e in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, std::vector<c10::Device, std::allocator<c10::Device> > const&, c10d::OpType, int, bool) + 0x22b (0x7fbf788e3c5b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default7]:frame #2: c10d::TCPStore::doWait(c10::ArrayRef<std::string>, std::chrono::duration<long, std::ratio<1l, 1000l> >) + 0x360 (0x7f93bc67f9a0 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x550 (0x7fbf78906b60 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default6]:frame #12: <unknown function> + 0x5838439 (0x7fbfaf691439 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:frame #13: <unknown function> + 0x5843330 (0x7fbfaf69c330 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:frame #3: c10d::TCPStore::doGet(std::string const&) + 0x32 (0x7f93bc67fce2 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:frame #4: c10d::TCPStore::get(std::string const&) + 0xa1 (0x7f93bc680b11 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:frame #14: <unknown function> + 0x58433c5 (0x7fbfaf69c3c5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:frame #15: <unknown function> + 0x4e893cc (0x7fbfaece23cc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:frame #16: <unknown function> + 0x1a08a88 (0x7fbfab861a88 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:frame #5: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f93bc635f81 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:frame #6: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f93bc635f81 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:frame #7: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f93bc635f81 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:frame #17: <unknown function> + 0x5849a84 (0x7fbfaf6a2a84 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:frame #8: c10d::PrefixStore::get(std::string const&) + 0x31 (0x7f93bc635f81 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:frame #9: c10d::ProcessGroupNCCL::broadcastUniqueNCCLID(ncclUniqueId*, bool, std::string const&, int) + 0xa9 (0x7f9385873c69 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default7]:frame #10: c10d::ProcessGroupNCCL::getNCCLComm(std::string const&, std::vector<c10::Device, std::allocator<c10::Device> > const&, c10d::OpType, int, bool) + 0x22b (0x7f938587ac5b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default7]:frame #11: c10d::ProcessGroupNCCL::recv(std::vector<at::Tensor, std::allocator<at::Tensor> >&, int, int) + 0x550 (0x7f938589db60 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cuda.so)
[default7]:frame #12: <unknown function> + 0x5838439 (0x7f93bc628439 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:frame #13: <unknown function> + 0x5843330 (0x7f93bc633330 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:frame #14: <unknown function> + 0x58433c5 (0x7f93bc6333c5 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:frame #15: <unknown function> + 0x4e893cc (0x7f93bbc793cc in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:frame #16: <unknown function> + 0x1a08a88 (0x7f93b87f8a88 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:frame #17: <unknown function> + 0x5849a84 (0x7f93bc639a84 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:frame #18: <unknown function> + 0x584ed35 (0x7fbfaf6a7d35 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default7]:frame #18: <unknown function> + 0x584ed35 (0x7f93bc63ed35 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_cpu.so)
[default6]:frame #19: <unknown function> + 0xc97eee (0x7fbfc1f59eee in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default6]:frame #20: <unknown function> + 0x413ea4 (0x7fbfc16d5ea4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default6]:frame #21: <unknown function> + 0x1445a6 (0x55f59a4415a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #19: <unknown function> + 0xc97eee (0x7f93ceef0eee in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default6]:frame #22: _PyObject_MakeTpCall + 0x26b (0x55f59a43aa6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #20: <unknown function> + 0x413ea4 (0x7f93ce66cea4 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/lib/libtorch_python.so)
[default7]:frame #21: <unknown function> + 0x1445a6 (0x561d618895a6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #23: <unknown function> + 0x150866 (0x55f59a44d866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #22: _PyObject_MakeTpCall + 0x26b (0x561d61882a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #23: <unknown function> + 0x150866 (0x561d61895866 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x561d6187e142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #24: _PyEval_EvalFrameDefault + 0x4c12 (0x55f59a436142 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #25: _PyFunction_Vectorcall + 0x6c (0x561d61889a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #25: _PyFunction_Vectorcall + 0x6c (0x55f59a441a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #26: PyObject_Call + 0xbc (0x561d61895f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #26: PyObject_Call + 0xbc (0x55f59a44df1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x561d6187c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #27: _PyEval_EvalFrameDefault + 0x2d83 (0x55f59a4342b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #28: _PyFunction_Vectorcall + 0x6c (0x561d61889a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #28: _PyFunction_Vectorcall + 0x6c (0x55f59a441a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x55f59a4328fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #30: <unknown function> + 0x150582 (0x55f59a44d582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x55f59a4328fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #32: <unknown function> + 0x150582 (0x55f59a44d582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x55f59a4328fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #34: <unknown function> + 0x150582 (0x55f59a44d582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x55f59a4328fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #29: _PyEval_EvalFrameDefault + 0x13ca (0x561d6187a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #30: <unknown function> + 0x150582 (0x561d61895582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x55f59a439f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #37: _PyObject_Call_Prepend + 0x69 (0x55f59a44bc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #31: _PyEval_EvalFrameDefault + 0x13ca (0x561d6187a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #38: <unknown function> + 0x211239 (0x55f59a50e239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #39: _PyObject_MakeTpCall + 0x26b (0x55f59a43aa6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x55f59a4363e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #32: <unknown function> + 0x150582 (0x561d61895582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #33: _PyEval_EvalFrameDefault + 0x13ca (0x561d6187a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #34: <unknown function> + 0x150582 (0x561d61895582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #41: _PyFunction_Vectorcall + 0x6c (0x55f59a441a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #42: _PyEval_EvalFrameDefault + 0x72c (0x55f59a431c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #35: _PyEval_EvalFrameDefault + 0x13ca (0x561d6187a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #36: _PyObject_FastCallDictTstate + 0xd0 (0x561d61881f50 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #37: _PyObject_Call_Prepend + 0x69 (0x561d61893c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #38: <unknown function> + 0x211239 (0x561d61956239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #39: _PyObject_MakeTpCall + 0x26b (0x561d61882a6b in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #40: _PyEval_EvalFrameDefault + 0x4eb6 (0x561d6187e3e6 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #41: _PyFunction_Vectorcall + 0x6c (0x561d61889a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #42: _PyEval_EvalFrameDefault + 0x72c (0x561d61879c5c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #43: _PyFunction_Vectorcall + 0x6c (0x561d61889a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x561d6187a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #45: <unknown function> + 0x150582 (0x561d61895582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #43: _PyFunction_Vectorcall + 0x6c (0x55f59a441a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #46: PyObject_Call + 0xbc (0x561d61895f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x561d6187c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #48: <unknown function> + 0x150582 (0x561d61895582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #49: PyObject_Call + 0xbc (0x561d61895f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x561d6187c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #51: _PyFunction_Vectorcall + 0x6c (0x561d61889a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #44: _PyEval_EvalFrameDefault + 0x13ca (0x55f59a4328fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #45: <unknown function> + 0x150582 (0x55f59a44d582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #46: PyObject_Call + 0xbc (0x55f59a44df1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #52: _PyObject_FastCallDictTstate + 0x187 (0x561d61882007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #47: _PyEval_EvalFrameDefault + 0x2d83 (0x55f59a4342b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #48: <unknown function> + 0x150582 (0x55f59a44d582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #49: PyObject_Call + 0xbc (0x55f59a44df1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #50: _PyEval_EvalFrameDefault + 0x2d83 (0x55f59a4342b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #51: _PyFunction_Vectorcall + 0x6c (0x55f59a441a2c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #53: _PyObject_Call_Prepend + 0x69 (0x561d61893c39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #52: _PyObject_FastCallDictTstate + 0x187 (0x55f59a43a007 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #53: _PyObject_Call_Prepend + 0x69 (0x55f59a44bc39 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #54: <unknown function> + 0x211239 (0x55f59a50e239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #55: PyObject_Call + 0x207 (0x55f59a44e067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x55f59a4342b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #57: <unknown function> + 0x150582 (0x55f59a44d582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #54: <unknown function> + 0x211239 (0x561d61956239 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x55f59a4328fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #55: PyObject_Call + 0x207 (0x561d61896067 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #56: _PyEval_EvalFrameDefault + 0x2d83 (0x561d6187c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #57: <unknown function> + 0x150582 (0x561d61895582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #58: _PyEval_EvalFrameDefault + 0x13ca (0x561d6187a8fa in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #59: <unknown function> + 0x150582 (0x55f59a44d582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #59: <unknown function> + 0x150582 (0x561d61895582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #60: PyObject_Call + 0xbc (0x561d61895f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x561d6187c2b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #62: <unknown function> + 0x150582 (0x561d61895582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:frame #63: PyObject_Call + 0xbc (0x561d61895f1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default7]:. This may indicate a possible application crash on rank 0 or a network set up issue.
[default6]:frame #60: PyObject_Call + 0xbc (0x55f59a44df1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #61: _PyEval_EvalFrameDefault + 0x2d83 (0x55f59a4342b3 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #62: <unknown function> + 0x150582 (0x55f59a44d582 in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:frame #63: PyObject_Call + 0xbc (0x55f59a44df1c in /fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/python3.10)
[default6]:. This may indicate a possible application crash on rank 0 or a network set up issue.
srun: error: ip-26-0-171-230: task 1: Exited with exit code 1
[2024-07-06 09:42:08,382] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 235373 closing signal SIGTERM
[2024-07-06 09:42:08,382] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 235374 closing signal SIGTERM
[2024-07-06 09:42:08,382] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 235375 closing signal SIGTERM
[2024-07-06 09:42:09,811] torch.distributed.elastic.multiprocessing.api: [ERROR] failed (exitcode: -6) local_rank: 0 (pid: 235372) 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 812, in main
    run(args)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 803, in run
    elastic_launch(
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 135, 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 268, in launch_agent
    raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError: 
============================================================
/fsx/ferdinandmom/ferdinand-hf/bench_cluster/nanotron/run_train.py FAILED
------------------------------------------------------------
Failures:
[1]:
  time      : 2024-07-06_09:42:08
  host      : ip-26-0-161-78.ec2.internal
  rank      : 4 (local_rank: 4)
  exitcode  : 1 (pid: 235376)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
[2]:
  time      : 2024-07-06_09:42:08
  host      : ip-26-0-161-78.ec2.internal
  rank      : 5 (local_rank: 5)
  exitcode  : 1 (pid: 235377)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
[3]:
  time      : 2024-07-06_09:42:08
  host      : ip-26-0-161-78.ec2.internal
  rank      : 6 (local_rank: 6)
  exitcode  : 1 (pid: 235378)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
[4]:
  time      : 2024-07-06_09:42:08
  host      : ip-26-0-161-78.ec2.internal
  rank      : 7 (local_rank: 7)
  exitcode  : 1 (pid: 235379)
  error_file: <N/A>
  traceback : To enable traceback see: https://pytorch.org/docs/stable/elastic/errors.html
------------------------------------------------------------
Root Cause (first observed failure):
[0]:
  time      : 2024-07-06_09:42:08
  host      : ip-26-0-161-78.ec2.internal
  rank      : 0 (local_rank: 0)
  exitcode  : -6 (pid: 235372)
  error_file: <N/A>
  traceback : Signal 6 (SIGABRT) received by PID 235372
============================================================
srun: error: ip-26-0-161-78: task 0: Exited with exit code 1
[default0]:Repo card metadata block was not found. Setting CardData to empty.
[default0]:07/06/2024 09:42:13 [WARNING|DP=0|PP=48|TP=0|ip-26-0-175-241]: Repo card metadata block was not found. Setting CardData to empty.
[2024-07-06 09:42:13,181] torch.distributed.elastic.rendezvous.dynamic_rendezvous: [WARNING] The node 'ip-26-0-175-241.ec2.internal_1345744_0' has failed to send a keep-alive heartbeat to the rendezvous 'none' due to an error of type RendezvousConnectionError.
[2024-07-06 09:42:13,270] torch.distributed.elastic.rendezvous.dynamic_rendezvous: [WARNING] The node 'ip-26-0-175-170.ec2.internal_3655288_0' has failed to send a keep-alive heartbeat to the rendezvous 'none' due to an error of type RendezvousConnectionError.
[2024-07-06 09:42:13,358] torch.distributed.elastic.rendezvous.dynamic_rendezvous: [WARNING] The node 'ip-26-0-175-34.ec2.internal_1215796_0' has failed to send a keep-alive heartbeat to the rendezvous 'none' due to an error of type RendezvousConnectionError.
[2024-07-06 09:42:13,393] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 1345815 closing signal SIGTERM
[2024-07-06 09:42:13,393] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 1345816 closing signal SIGTERM
[2024-07-06 09:42:13,394] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 1345817 closing signal SIGTERM
[2024-07-06 09:42:13,394] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 1345818 closing signal SIGTERM
[2024-07-06 09:42:13,394] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 1345819 closing signal SIGTERM
[2024-07-06 09:42:13,395] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 1345820 closing signal SIGTERM
[2024-07-06 09:42:13,395] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 1345821 closing signal SIGTERM
[2024-07-06 09:42:13,396] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 1345822 closing signal SIGTERM
[2024-07-06 09:42:13,397] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 1215866 closing signal SIGTERM
[2024-07-06 09:42:13,398] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 1215867 closing signal SIGTERM
[2024-07-06 09:42:13,398] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 1215868 closing signal SIGTERM
[2024-07-06 09:42:13,399] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 1215869 closing signal SIGTERM
[2024-07-06 09:42:13,400] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 1215870 closing signal SIGTERM
[2024-07-06 09:42:13,400] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 1215871 closing signal SIGTERM
[2024-07-06 09:42:13,401] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 1215872 closing signal SIGTERM
[2024-07-06 09:42:13,401] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 1215873 closing signal SIGTERM
[2024-07-06 09:42:13,405] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 3655358 closing signal SIGTERM
[2024-07-06 09:42:13,405] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 3655359 closing signal SIGTERM
[2024-07-06 09:42:13,406] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 3655360 closing signal SIGTERM
[2024-07-06 09:42:13,406] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 3655361 closing signal SIGTERM
[2024-07-06 09:42:13,407] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 3655362 closing signal SIGTERM
[2024-07-06 09:42:13,407] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 3655363 closing signal SIGTERM
[2024-07-06 09:42:13,408] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 3655364 closing signal SIGTERM
[2024-07-06 09:42:13,408] torch.distributed.elastic.multiprocessing.api: [WARNING] Sending process 3655365 closing signal SIGTERM
[2024-07-06 09:42:15,430] torch.distributed.elastic.rendezvous.dynamic_rendezvous: [WARNING] The node 'ip-26-0-175-34.ec2.internal_1215796_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/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 113, in _call_store
    return getattr(self._store, store_op)(*args, **kwargs)
torch.distributed.DistNetworkError: Broken pipe

The above exception was the direct cause of the following exception:

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 812, in main
    run(args)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 803, in run
    elastic_launch(
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 135, 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 259, in launch_agent
    result = agent.run()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/metrics/api.py", line 123, in wrapper
    result = f(*args, **kwargs)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/agent/server/api.py", line 727, in run
    result = self._invoke_run(role)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/agent/server/api.py", line 900, in _invoke_run
    num_nodes_waiting = rdzv_handler.num_nodes_waiting()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py", line 1083, in num_nodes_waiting
    self._state_holder.sync()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py", line 409, in sync
    get_response = self._backend.get_state()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 73, in get_state
    base64_state: bytes = self._call_store("get", self._key)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 115, in _call_store
    raise RendezvousConnectionError(
torch.distributed.elastic.rendezvous.api.RendezvousConnectionError: The connection to the C10d store has failed. See inner exception for details.
srun: error: ip-26-0-175-34: task 3: Exited with exit code 1
[2024-07-06 09:42:15,830] torch.distributed.elastic.rendezvous.dynamic_rendezvous: [WARNING] The node 'ip-26-0-175-241.ec2.internal_1345744_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/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 113, in _call_store
    return getattr(self._store, store_op)(*args, **kwargs)
torch.distributed.DistNetworkError: Broken pipe

The above exception was the direct cause of the following exception:

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 812, in main
    run(args)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 803, in run
    elastic_launch(
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 135, 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 259, in launch_agent
    result = agent.run()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/metrics/api.py", line 123, in wrapper
    result = f(*args, **kwargs)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/agent/server/api.py", line 727, in run
[2024-07-06 09:42:15,835] torch.distributed.elastic.rendezvous.dynamic_rendezvous: [WARNING] The node 'ip-26-0-175-170.ec2.internal_3655288_0' has failed to shutdown the rendezvous 'none' due to an error of type RendezvousConnectionError.
    result = self._invoke_run(role)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/agent/server/api.py", line 900, in _invoke_run
Traceback (most recent call last):
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 113, in _call_store
    num_nodes_waiting = rdzv_handler.num_nodes_waiting()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py", line 1083, in num_nodes_waiting
    return getattr(self._store, store_op)(*args, **kwargs)
torch.distributed.DistNetworkError: Broken pipe

The above exception was the direct cause of the following exception:

    self._state_holder.sync()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py", line 409, in sync
Traceback (most recent call last):
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/bin/torchrun", line 8, in <module>
    sys.exit(main())
    get_response = self._backend.get_state()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 73, in get_state
  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 812, in main
    base64_state: bytes = self._call_store("get", self._key)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 115, in _call_store
    run(args)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/run.py", line 803, in run
    elastic_launch(
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 135, in __call__
    raise RendezvousConnectionError(
torch.distributed.elastic.rendezvous.api.RendezvousConnectionError: The connection to the C10d store has failed. See inner exception for details.
    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 259, in launch_agent
    result = agent.run()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/metrics/api.py", line 123, in wrapper
    result = f(*args, **kwargs)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/agent/server/api.py", line 727, in run
    result = self._invoke_run(role)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/agent/server/api.py", line 900, in _invoke_run
    num_nodes_waiting = rdzv_handler.num_nodes_waiting()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py", line 1083, in num_nodes_waiting
    self._state_holder.sync()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/dynamic_rendezvous.py", line 409, in sync
    get_response = self._backend.get_state()
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 73, in get_state
    base64_state: bytes = self._call_store("get", self._key)
  File "/fsx/ferdinandmom/miniforge3/envs/env-bench-cluster/lib/python3.10/site-packages/torch/distributed/elastic/rendezvous/c10d_rendezvous_backend.py", line 115, in _call_store
    raise RendezvousConnectionError(
torch.distributed.elastic.rendezvous.api.RendezvousConnectionError: The connection to the C10d store has failed. See inner exception for details.
srun: error: ip-26-0-175-241: task 7: Exited with exit code 1
srun: error: ip-26-0-175-170: task 6: 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.