loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 ***************************************** 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. ***************************************** loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 loaded library: loaded library: loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1/usr/lib/x86_64-linux-gnu/libibverbs.so.1/usr/lib/x86_64-linux-gnu/libibverbs.so.1 loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 W20220407 18:13:34.867990 5271 rpc_client.cpp:190] LoadServer 10.7.231.16 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220407 18:13:34.873550 5265 rpc_client.cpp:190] LoadServer 10.7.231.16 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220407 18:13:34.876420 5266 rpc_client.cpp:190] LoadServer 10.7.231.16 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220407 18:13:34.870496 5269 rpc_client.cpp:190] LoadServer 10.7.231.16 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220407 18:13:34.876861 5270 rpc_client.cpp:190] LoadServer 10.7.231.16 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220407 18:13:34.879763 5267 rpc_client.cpp:190] LoadServer 10.7.231.16 Failed at 0 times error_code 14 error_message failed to connect to all addresses ------------------------ arguments ------------------------ batches_per_epoch ............................... 625 channel_last .................................... False ddp ............................................. False exit_num ........................................ 300 fuse_bn_add_relu ................................ True fuse_bn_relu .................................... True gpu_stat_file ................................... None grad_clipping ................................... 0.0 graph ........................................... True label_smoothing ................................. 0.1 learning_rate ................................... 2.048 legacy_init ..................................... False load_path ....................................... None lr_decay_type ................................... cosine metric_local .................................... True metric_train_acc ................................ True momentum ........................................ 0.875 nccl_fusion_max_ops ............................. 24 nccl_fusion_threshold_mb ........................ 16 num_classes ..................................... 1000 num_devices_per_node ............................ 8 num_epochs ...................................... 1 num_nodes ....................................... 1 ofrecord_part_num ............................... 256 ofrecord_path ................................... /dataset/79846248 print_interval .................................. 100 print_timestamp ................................. False samples_per_epoch ............................... 1281167 save_init ....................................... False save_path ....................................... None scale_grad ...................................... True skip_eval ....................................... True synthetic_data .................................. False total_batches ................................... -1 train_batch_size ................................ 256 train_global_batch_size ......................... 2048 use_fp16 ........................................ False use_gpu_decode .................................. False val_batch_size .................................. 50 val_batches_per_epoch ........................... 125 val_global_batch_size ........................... 400 val_samples_per_epoch ........................... 50000 warmup_epochs ................................... 5 weight_decay .................................... 3.0517578125e-05 zero_init_residual .............................. True -------------------- end of arguments --------------------- ***** Model Init ***** ***** Model Init Finish, time escapled: 2.98399 s ***** [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86756, top1: 0.00078, throughput: 271.84 | 2022-04-07 18:15:24.586 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86734, top1: 0.00117, throughput: 271.83 | 2022-04-07 18:15:24.592 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86705, top1: 0.00074, throughput: 271.85 | 2022-04-07 18:15:24.589 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86753, top1: 0.00094, throughput: 271.82 | 2022-04-07 18:15:24.592 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86766, top1: 0.00059, throughput: 271.83 | 2022-04-07 18:15:24.590 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86752, top1: 0.00078, throughput: 271.85 | 2022-04-07 18:15:24.591 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86747, top1: 0.00059, throughput: 271.84 | 2022-04-07 18:15:24.591 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86748, top1: 0.00098, throughput: 271.79 | 2022-04-07 18:15:24.604 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/07 18:15:24.898, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8478 MiB, 24032 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/07 18:15:24.901, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8478 MiB, 24032 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/07 18:15:24.903, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8432 MiB, 24078 MiB 2022/04/07 18:15:24.902, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8478 MiB, 24032 MiB 2022/04/07 18:15:24.904, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8478 MiB, 24032 MiB 2022/04/07 18:15:24.905, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8432 MiB, 24078 MiB 2022/04/07 18:15:24.905, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8478 MiB, 24032 MiB 2022/04/07 18:15:24.906, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8478 MiB, 24032 MiB 2022/04/07 18:15:24.909, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8478 MiB, 24032 MiB 2022/04/07 18:15:24.911, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8518 MiB, 23992 MiB 2022/04/07 18:15:24.910, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8478 MiB, 24032 MiB 2022/04/07 18:15:24.912, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8432 MiB, 24078 MiB 2022/04/07 18:15:24.915, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8432 MiB, 24078 MiB 2022/04/07 18:15:24.916, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8518 MiB, 23992 MiB 2022/04/07 18:15:24.917, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8432 MiB, 24078 MiB 2022/04/07 18:15:24.917, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8432 MiB, 24078 MiB 2022/04/07 18:15:24.918, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8432 MiB, 24078 MiB 2022/04/07 18:15:24.920, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8514 MiB, 23996 MiB 2022/04/07 18:15:24.920, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8432 MiB, 24078 MiB 2022/04/07 18:15:24.920, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8518 MiB, 23992 MiB 2022/04/07 18:15:24.924, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8518 MiB, 23992 MiB 2022/04/07 18:15:24.925, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8514 MiB, 23996 MiB 2022/04/07 18:15:24.925, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8518 MiB, 23992 MiB 2022/04/07 18:15:24.926, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8518 MiB, 23992 MiB 2022/04/07 18:15:24.930, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8518 MiB, 23992 MiB 2022/04/07 18:15:24.931, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8530 MiB, 23980 MiB 2022/04/07 18:15:24.931, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8518 MiB, 23992 MiB 2022/04/07 18:15:24.932, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8514 MiB, 23996 MiB 2022/04/07 18:15:24.935, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8514 MiB, 23996 MiB 2022/04/07 18:15:24.936, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8530 MiB, 23980 MiB 2022/04/07 18:15:24.937, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8514 MiB, 23996 MiB 2022/04/07 18:15:24.937, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8514 MiB, 23996 MiB 2022/04/07 18:15:24.938, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8514 MiB, 23996 MiB 2022/04/07 18:15:24.940, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8370 MiB, 24140 MiB 2022/04/07 18:15:24.940, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8514 MiB, 23996 MiB 2022/04/07 18:15:24.940, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8530 MiB, 23980 MiB 2022/04/07 18:15:24.944, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8530 MiB, 23980 MiB 2022/04/07 18:15:24.945, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8370 MiB, 24140 MiB 2022/04/07 18:15:24.945, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8530 MiB, 23980 MiB 2022/04/07 18:15:24.946, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8530 MiB, 23980 MiB 2022/04/07 18:15:24.950, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8530 MiB, 23980 MiB 2022/04/07 18:15:24.951, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8314 MiB, 24196 MiB 2022/04/07 18:15:24.951, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8530 MiB, 23980 MiB 2022/04/07 18:15:24.952, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8370 MiB, 24140 MiB 2022/04/07 18:15:24.956, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8370 MiB, 24140 MiB 2022/04/07 18:15:24.956, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8314 MiB, 24196 MiB 2022/04/07 18:15:24.957, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8370 MiB, 24140 MiB 2022/04/07 18:15:24.958, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8370 MiB, 24140 MiB 2022/04/07 18:15:24.959, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8370 MiB, 24140 MiB 2022/04/07 18:15:24.960, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8442 MiB, 24068 MiB 2022/04/07 18:15:24.960, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8370 MiB, 24140 MiB 2022/04/07 18:15:24.961, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8314 MiB, 24196 MiB 2022/04/07 18:15:24.965, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8314 MiB, 24196 MiB 2022/04/07 18:15:24.965, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8442 MiB, 24068 MiB 2022/04/07 18:15:24.966, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8314 MiB, 24196 MiB 2022/04/07 18:15:24.969, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8314 MiB, 24196 MiB 2022/04/07 18:15:24.970, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8314 MiB, 24196 MiB 2022/04/07 18:15:24.972, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8314 MiB, 24196 MiB 2022/04/07 18:15:24.972, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8442 MiB, 24068 MiB 2022/04/07 18:15:24.976, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8442 MiB, 24068 MiB 2022/04/07 18:15:24.977, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8442 MiB, 24068 MiB 2022/04/07 18:15:24.978, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8442 MiB, 24068 MiB 2022/04/07 18:15:24.979, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8442 MiB, 24068 MiB 2022/04/07 18:15:24.981, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8442 MiB, 24068 MiB [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86736, top1: 0.00074, throughput: 390.18 | 2022-04-07 18:16:30.202 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86749, top1: 0.00062, throughput: 390.18 | 2022-04-07 18:16:30.202 [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86772, top1: 0.00047, throughput: 390.17 | 2022-04-07 18:16:30.202 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86756, top1: 0.00086, throughput: 390.18 | 2022-04-07 18:16:30.202 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86754, top1: 0.00090, throughput: 390.18 | 2022-04-07 18:16:30.203 [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86751, top1: 0.00082, throughput: 390.18 | 2022-04-07 18:16:30.203 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86764, top1: 0.00043, throughput: 390.13 | 2022-04-07 18:16:30.205 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86769, top1: 0.00074, throughput: 390.24 | 2022-04-07 18:16:30.204 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86760, top1: 0.00082, throughput: 390.15 | 2022-04-07 18:17:35.818 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86751, top1: 0.00062, throughput: 390.15 | 2022-04-07 18:17:35.819 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86763, top1: 0.00051, throughput: 390.15 | 2022-04-07 18:17:35.818 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86764, top1: 0.00078, throughput: 390.14 | 2022-04-07 18:17:35.819 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86735, top1: 0.00070, throughput: 390.15 | 2022-04-07 18:17:35.821 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86768, top1: 0.00066, throughput: 390.14 | 2022-04-07 18:17:35.820 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86733, top1: 0.00051, throughput: 390.14 | 2022-04-07 18:17:35.819 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86768, top1: 0.00055, throughput: 390.15 | 2022-04-07 18:17:35.819