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: loaded library: 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 /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 W20220513 10:14:48.415340 6893 rpc_client.cpp:190] LoadServer 10.7.101.119 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220513 10:14:48.415341 6892 rpc_client.cpp:190] LoadServer 10.7.101.119 Failed at 0 times error_code 14 error_message failed to connect to all addresses ------------------------ arguments ------------------------ batches_per_epoch ............................... 625 channel_last .................................... False ddp ............................................. True exit_num ........................................ 300 fuse_bn_add_relu ................................ False fuse_bn_relu .................................... False gpu_stat_file ................................... None grad_clipping ................................... 0.0 graph ........................................... False 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 ...................................... False 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: 2.68688 s ***** [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86730, lr: 0.000000, top1: 0.00051, throughput: 277.45 | 2022-05-13 10:16:35.693 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86715, lr: 0.000000, top1: 0.00051, throughput: 277.37 | 2022-05-13 10:16:35.717 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86763, lr: 0.000000, top1: 0.00090, throughput: 277.32 | 2022-05-13 10:16:35.717 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86731, lr: 0.000000, top1: 0.00078, throughput: 277.25[rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86753, lr: 0.000000, top1: 0.00082, throughput: 277.31 | 2022-05-13 10:16:35.737 | 2022-05-13 10:16:35.735 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86758, lr: 0.000000, top1: 0.00121, throughput: 277.40 | 2022-05-13 10:16:35.741 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86713, lr: 0.000000, top1: 0.00121, throughput: 277.21 | 2022-05-13 10:16:35.764 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86713, lr: 0.000000, top1: 0.00098, throughput: 277.16 | 2022-05-13 10:16:35.781 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/13 10:16:35.831, Tesla V100-SXM2-32GB, 470.57.02, 61 %, 45 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/13 10:16:35.838, Tesla V100-SXM2-32GB, 470.57.02, 54 %, 0 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/13 10:16:35.842, Tesla V100-SXM2-32GB, 470.57.02, 45 %, 32 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/05/13 10:16:35.844, Tesla V100-SXM2-32GB, 470.57.02, 65 %, 47 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/13 10:16:35.846, Tesla V100-SXM2-32GB, 470.57.02, 52 %, 21 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/05/13 10:16:35.851, Tesla V100-SXM2-32GB, 470.57.02, 48 %, 23 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/13 10:16:35.855, Tesla V100-SXM2-32GB, 470.57.02, 44 %, 1 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/05/13 10:16:35.858, Tesla V100-SXM2-32GB, 470.57.02, 39 %, 8 %, 32510 MiB, 5130 MiB, 27380 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/13 10:16:35.862, Tesla V100-SXM2-32GB, 470.57.02, 61 %, 45 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/13 10:16:35.867, Tesla V100-SXM2-32GB, 470.57.02, 54 %, 0 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/13 10:16:35.870, Tesla V100-SXM2-32GB, 470.57.02, 45 %, 32 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/05/13 10:16:35.877, Tesla V100-SXM2-32GB, 470.57.02, 2 %, 0 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/13 10:16:35.883, Tesla V100-SXM2-32GB, 470.57.02, 52 %, 21 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/05/13 10:16:35.888, Tesla V100-SXM2-32GB, 470.57.02, 48 %, 23 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/13 10:16:35.892, Tesla V100-SXM2-32GB, 470.57.02, 44 %, 1 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/05/13 10:16:35.896, Tesla V100-SXM2-32GB, 470.57.02, 39 %, 8 %, 32510 MiB, 5130 MiB, 27380 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/13 10:16:35.917, Tesla V100-SXM2-32GB, 470.57.02, 18 %, 2 %, 32510 MiB, 5094 MiB, 27416 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/13 10:16:35.927, Tesla V100-SXM2-32GB, 470.57.02, 54 %, 0 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/13 10:16:35.929, Tesla V100-SXM2-32GB, 470.57.02, 18 %, 2 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/13 10:16:35.932, Tesla V100-SXM2-32GB, 470.57.02, 70 %, 42 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/05/13 10:16:35.934, Tesla V100-SXM2-32GB, 470.57.02, 54 %, 0 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/13 10:16:35.936, Tesla V100-SXM2-32GB, 470.57.02, 2 %, 0 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/13 10:16:35.938, Tesla V100-SXM2-32GB, 470.57.02, 70 %, 42 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/05/13 10:16:35.942, Tesla V100-SXM2-32GB, 470.57.02, 52 %, 21 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/05/13 10:16:35.944, Tesla V100-SXM2-32GB, 470.57.02, 2 %, 0 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/13 10:16:35.948, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 60 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/13 10:16:35.950, Tesla V100-SXM2-32GB, 470.57.02, 52 %, 21 %, 32510 MiB, 5174 MiB, 27336 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/13 10:16:35.954, Tesla V100-SXM2-32GB, 470.57.02, 44 %, 1 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/05/13 10:16:35.955, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 60 %, 32510 MiB, 5106 MiB, 27404 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] 2022/05/13 10:16:35.956, Tesla V100-SXM2-32GB, 470.57.02, 18 %, 2 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/13 10:16:35.957, Tesla V100-SXM2-32GB, 470.57.02, 39 %, 8 %, 32510 MiB, 5130 MiB, 27380 MiB 2022/05/13 10:16:35.959, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 73 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/05/13 10:16:35.960, Tesla V100-SXM2-32GB, 470.57.02, 18 %, 2 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/13 10:16:35.967, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 84 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/13 10:16:35.966, Tesla V100-SXM2-32GB, 470.57.02, 18 %, 2 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/13 10:16:35.975, Tesla V100-SXM2-32GB, 470.57.02, 39 %, 7 %, 32510 MiB, 5130 MiB, 27380 MiB 2022/05/13 10:16:35.981, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 84 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/13 10:16:35.988, Tesla V100-SXM2-32GB, 470.57.02, 70 %, 41 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/05/13 10:16:35.988, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 84 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/13 10:16:36.014, Tesla V100-SXM2-32GB, 470.57.02, 70 %, 41 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/05/13 10:16:36.015, Tesla V100-SXM2-32GB, 470.57.02, 2 %, 0 %, 32510 MiB, 5166 MiB, 27344 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/13 10:16:36.015, Tesla V100-SXM2-32GB, 470.57.02, 70 %, 41 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/05/13 10:16:36.028, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 85 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/13 10:16:36.029, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 84 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/05/13 10:16:36.029, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 85 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/13 10:16:36.029, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 90 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/13 10:16:36.045, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 84 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/05/13 10:16:36.046, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 60 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/13 10:16:36.050, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 84 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/05/13 10:16:36.050, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 84 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/13 10:16:36.065, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 72 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/13 10:16:36.083, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 72 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/05/13 10:16:36.083, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 72 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/13 10:16:36.083, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 79 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/05/13 10:16:36.094, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 72 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/05/13 10:16:36.095, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5130 MiB, 27380 MiB 2022/05/13 10:16:36.096, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 72 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/05/13 10:16:36.096, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 84 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/13 10:16:36.105, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5130 MiB, 27380 MiB 2022/05/13 10:16:36.108, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5130 MiB, 27380 MiB 2022/05/13 10:16:36.108, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 84 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/05/13 10:16:36.116, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 72 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/13 10:16:36.124, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 72 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/05/13 10:16:36.130, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5130 MiB, 27380 MiB [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86736, lr: 0.000000, top1: 0.00094, throughput: 295.75 | 2022-05-13 10:18:02.341 [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86747, lr: 0.000000, top1: 0.00094, throughput: 295.59 | 2022-05-13 10:18:02.348 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86716, lr: 0.000000, top1: 0.00109, throughput: 295.44 | 2022-05-13 10:18:02.366 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86731, lr: 0.000000, top1: 0.00074, throughput: 295.50 | 2022-05-13 10:18:02.371 [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86747, lr: 0.000000, top1: 0.00066, throughput: 295.41 | 2022-05-13 10:18:02.378 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86727, lr: 0.000000, top1: 0.00070, throughput: 295.43 | 2022-05-13 10:18:02.389 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86777, lr: 0.000000, top1: 0.00074, throughput: 295.27 | 2022-05-13 10:18:02.393 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86741, lr: 0.000000, top1: 0.00105, throughput: 295.45 | 2022-05-13 10:18:02.412 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86702, lr: 0.000000, top1: 0.00082, throughput: 296.44 | 2022-05-13 10:19:28.750 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86729, lr: 0.000000, top1: 0.00066, throughput: 296.32 | 2022-05-13 10:19:28.763 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86722, lr: 0.000000, top1: 0.00086, throughput: 296.28 | 2022-05-13 10:19:28.771 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86770, lr: 0.000000, top1: 0.00070, throughput: 296.16 | 2022-05-13 10:19:28.787 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86752, lr: 0.000000, top1: 0.00082, throughput: 296.20 | 2022-05-13 10:19:28.806 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86734, lr: 0.000000, top1: 0.00109, throughput: 296.55 | 2022-05-13 10:19:28.714 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86729, lr: 0.000000, top1: 0.00105, throughput: 296.24 | 2022-05-13 10:19:28.828 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86763, lr: 0.000000, top1: 0.00086, throughput: 295.89 | 2022-05-13 10:19:28.860