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: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 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 W20220414 02:02:18.182641 2039 rpc_client.cpp:190] LoadServer 10.7.129.151 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 .................................. True 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: 2.80274 s ***** [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86751, top1: 0.00094, throughput: 256.23 | 2022-04-14 02:04:13.298 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86751, top1: 0.00043, throughput: 256.23 | 2022-04-14 02:04:13.296 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86760, top1: 0.00109, throughput: 256.22 | 2022-04-14 02:04:13.295 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86712, top1: 0.00102, throughput: 256.20 | 2022-04-14 02:04:13.301 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86720, top1: 0.00078, throughput: 256.21 | 2022-04-14 02:04:13.302 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86769, top1: 0.00094, throughput: 256.20 | 2022-04-14 02:04:13.302 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86766, top1: 0.00109, throughput: 256.21 | 2022-04-14 02:04:13.299 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86717, top1: 0.00055, throughput: 256.20 | 2022-04-14 02:04:13.301 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] 2022/04/14 02:04:13.616, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7837 MiB, 24673 MiB 2022/04/14 02:04:13.617, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7837 MiB, 24673 MiB 2022/04/14 02:04:13.618, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7837 MiB, 24673 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] 2022/04/14 02:04:13.622, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7732 MiB, 24778 MiB 2022/04/14 02:04:13.623, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7732 MiB, 24778 MiB 2022/04/14 02:04:13.624, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7732 MiB, 24778 MiB 2022/04/14 02:04:13.624, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7837 MiB, 24673 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/14 02:04:13.625, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7837 MiB, 24673 MiB 2022/04/14 02:04:13.627, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7837 MiB, 24673 MiB 2022/04/14 02:04:13.628, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7998 MiB, 24512 MiB 2022/04/14 02:04:13.629, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7998 MiB, 24512 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/14 02:04:13.630, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7998 MiB, 24512 MiB 2022/04/14 02:04:13.631, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7732 MiB, 24778 MiB 2022/04/14 02:04:13.633, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7732 MiB, 24778 MiB 2022/04/14 02:04:13.632, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7837 MiB, 24673 MiB 2022/04/14 02:04:13.634, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7732 MiB, 24778 MiB 2022/04/14 02:04:13.634, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7942 MiB, 24568 MiB 2022/04/14 02:04:13.635, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7942 MiB, 24568 MiB 2022/04/14 02:04:13.636, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7942 MiB, 24568 MiB 2022/04/14 02:04:13.636, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7837 MiB, 24673 MiB 2022/04/14 02:04:13.639, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7998 MiB, 24512 MiB 2022/04/14 02:04:13.645, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7998 MiB, 24512 MiB 2022/04/14 02:04:13.645, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7732 MiB, 24778 MiB 2022/04/14 02:04:13.646, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7998 MiB, 24512 MiB 2022/04/14 02:04:13.646, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/14 02:04:13.648, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/14 02:04:13.649, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/14 02:04:13.649, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7732 MiB, 24778 MiB 2022/04/14 02:04:13.652, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7942 MiB, 24568 MiB 2022/04/14 02:04:13.653, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7942 MiB, 24568 MiB 2022/04/14 02:04:13.654, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7998 MiB, 24512 MiB 2022/04/14 02:04:13.654, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7942 MiB, 24568 MiB 2022/04/14 02:04:13.655, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7784 MiB, 24726 MiB 2022/04/14 02:04:13.657, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7784 MiB, 24726 MiB 2022/04/14 02:04:13.662, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7784 MiB, 24726 MiB 2022/04/14 02:04:13.663, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7998 MiB, 24512 MiB 2022/04/14 02:04:13.665, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/14 02:04:13.666, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/14 02:04:13.667, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7942 MiB, 24568 MiB 2022/04/14 02:04:13.668, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/14 02:04:13.669, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7662 MiB, 24848 MiB 2022/04/14 02:04:13.670, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7662 MiB, 24848 MiB 2022/04/14 02:04:13.671, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7662 MiB, 24848 MiB 2022/04/14 02:04:13.672, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7942 MiB, 24568 MiB 2022/04/14 02:04:13.674, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7784 MiB, 24726 MiB 2022/04/14 02:04:13.675, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7784 MiB, 24726 MiB 2022/04/14 02:04:13.676, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/14 02:04:13.677, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7784 MiB, 24726 MiB 2022/04/14 02:04:13.677, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7880 MiB, 24630 MiB 2022/04/14 02:04:13.679, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7880 MiB, 24630 MiB 2022/04/14 02:04:13.680, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7880 MiB, 24630 MiB 2022/04/14 02:04:13.681, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/14 02:04:13.683, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7662 MiB, 24848 MiB 2022/04/14 02:04:13.684, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7662 MiB, 24848 MiB 2022/04/14 02:04:13.685, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7784 MiB, 24726 MiB 2022/04/14 02:04:13.686, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7662 MiB, 24848 MiB 2022/04/14 02:04:13.689, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7784 MiB, 24726 MiB 2022/04/14 02:04:13.692, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7880 MiB, 24630 MiB 2022/04/14 02:04:13.693, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7880 MiB, 24630 MiB 2022/04/14 02:04:13.693, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7662 MiB, 24848 MiB 2022/04/14 02:04:13.694, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7880 MiB, 24630 MiB 2022/04/14 02:04:13.697, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7662 MiB, 24848 MiB 2022/04/14 02:04:13.701, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7880 MiB, 24630 MiB 2022/04/14 02:04:13.708, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7880 MiB, 24630 MiB [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86735, top1: 0.00074, throughput: 373.78 | 2022-04-14 02:05:21.787 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86720, top1: 0.00094, throughput: 373.74 | 2022-04-14 02:05:21.792 [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86730, top1: 0.00117, throughput: 373.74 | 2022-04-14 02:05:21.793 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86749, top1: 0.00078, throughput: 373.74 | 2022-04-14 02:05:21.798 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86735, top1: 0.00086, throughput: 373.74 | 2022-04-14 02:05:21.795 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86719, top1: 0.00066, throughput: 373.74 | 2022-04-14 02:05:21.798 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86723, top1: 0.00117, throughput: 373.74 | 2022-04-14 02:05:21.799 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86753, top1: 0.00102, throughput: 373.74 | 2022-04-14 02:05:21.799 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86744, top1: 0.00086, throughput: 373.41 | 2022-04-14 02:06:30.350 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86740, top1: 0.00078, throughput: 373.42 | 2022-04-14 02:06:30.350 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86768, top1: 0.00074, throughput: 373.36 | 2022-04-14 02:06:30.353 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86760, top1: 0.00074, throughput: 373.41 | 2022-04-14 02:06:30.351 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86749, top1: 0.00082, throughput: 373.41 | 2022-04-14 02:06:30.355 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86725, top1: 0.00125, throughput: 373.41 | 2022-04-14 02:06:30.356 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86734, top1: 0.00066, throughput: 373.42 | 2022-04-14 02:06:30.354 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86759, top1: 0.00082, throughput: 373.41 | 2022-04-14 02:06:30.356