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 ------------------------ 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: 2.62292 s ***** [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86781, top1: 0.00094, throughput: 275.53 | 2022-04-19 02:13:03.096 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86756, top1: 0.00066, throughput: 275.59 | 2022-04-19 02:13:03.096 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86749, top1: 0.00086, throughput: 275.45 | 2022-04-19 02:13:03.095 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86751, top1: 0.00172, throughput: 275.42 | 2022-04-19 02:13:03.100 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86758, top1: 0.00109, throughput: 275.43 | 2022-04-19 02:13:03.100 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86762, top1: 0.00109, throughput: 275.46 | 2022-04-19 02:13:03.111 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86778, top1: 0.00074, throughput: 275.42 | 2022-04-19 02:13:03.116 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86756, top1: 0.00109, throughput: 275.43 | 2022-04-19 02:13:03.115 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] timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/19 02:13:03.432, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8490 MiB, 24020 MiB 2022/04/19 02:13:03.433, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8490 MiB, 24020 MiB 2022/04/19 02:13:03.434, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8490 MiB, 24020 MiB 2022/04/19 02:13:03.440, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8490 MiB, 24020 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/19 02:13:03.446, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8476 MiB, 24034 MiB 2022/04/19 02:13:03.447, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8476 MiB, 24034 MiB 2022/04/19 02:13:03.448, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8476 MiB, 24034 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/19 02:13:03.449, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8476 MiB, 24034 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/19 02:13:03.452, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8490 MiB, 24020 MiB 2022/04/19 02:13:03.453, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8652 MiB, 23858 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/19 02:13:03.454, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8652 MiB, 23858 MiB 2022/04/19 02:13:03.455, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8652 MiB, 23858 MiB 2022/04/19 02:13:03.456, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8652 MiB, 23858 MiB 2022/04/19 02:13:03.456, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8490 MiB, 24020 MiB 2022/04/19 02:13:03.458, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8490 MiB, 24020 MiB 2022/04/19 02:13:03.459, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8476 MiB, 24034 MiB 2022/04/19 02:13:03.459, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8584 MiB, 23926 MiB 2022/04/19 02:13:03.461, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8584 MiB, 23926 MiB 2022/04/19 02:13:03.461, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8490 MiB, 24020 MiB 2022/04/19 02:13:03.462, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8584 MiB, 23926 MiB 2022/04/19 02:13:03.463, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8584 MiB, 23926 MiB 2022/04/19 02:13:03.464, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8476 MiB, 24034 MiB 2022/04/19 02:13:03.467, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8476 MiB, 24034 MiB 2022/04/19 02:13:03.467, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8652 MiB, 23858 MiB 2022/04/19 02:13:03.468, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8618 MiB, 23892 MiB 2022/04/19 02:13:03.469, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8618 MiB, 23892 MiB 2022/04/19 02:13:03.470, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8476 MiB, 24034 MiB 2022/04/19 02:13:03.471, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8618 MiB, 23892 MiB 2022/04/19 02:13:03.472, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8618 MiB, 23892 MiB 2022/04/19 02:13:03.473, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8652 MiB, 23858 MiB 2022/04/19 02:13:03.475, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8652 MiB, 23858 MiB 2022/04/19 02:13:03.476, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8584 MiB, 23926 MiB 2022/04/19 02:13:03.476, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8480 MiB, 24030 MiB 2022/04/19 02:13:03.478, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8480 MiB, 24030 MiB 2022/04/19 02:13:03.479, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8652 MiB, 23858 MiB 2022/04/19 02:13:03.479, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8480 MiB, 24030 MiB 2022/04/19 02:13:03.480, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8480 MiB, 24030 MiB 2022/04/19 02:13:03.481, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8584 MiB, 23926 MiB 2022/04/19 02:13:03.483, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8584 MiB, 23926 MiB 2022/04/19 02:13:03.484, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8618 MiB, 23892 MiB 2022/04/19 02:13:03.485, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8318 MiB, 24192 MiB 2022/04/19 02:13:03.486, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8318 MiB, 24192 MiB 2022/04/19 02:13:03.487, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8584 MiB, 23926 MiB 2022/04/19 02:13:03.487, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8318 MiB, 24192 MiB 2022/04/19 02:13:03.489, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8318 MiB, 24192 MiB 2022/04/19 02:13:03.489, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8618 MiB, 23892 MiB 2022/04/19 02:13:03.492, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8618 MiB, 23892 MiB 2022/04/19 02:13:03.493, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8480 MiB, 24030 MiB 2022/04/19 02:13:03.493, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8528 MiB, 23982 MiB 2022/04/19 02:13:03.495, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8528 MiB, 23982 MiB 2022/04/19 02:13:03.495, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8618 MiB, 23892 MiB 2022/04/19 02:13:03.496, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8528 MiB, 23982 MiB 2022/04/19 02:13:03.497, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8528 MiB, 23982 MiB 2022/04/19 02:13:03.498, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8480 MiB, 24030 MiB 2022/04/19 02:13:03.500, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8480 MiB, 24030 MiB 2022/04/19 02:13:03.501, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8318 MiB, 24192 MiB 2022/04/19 02:13:03.504, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8480 MiB, 24030 MiB 2022/04/19 02:13:03.506, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8318 MiB, 24192 MiB 2022/04/19 02:13:03.509, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8318 MiB, 24192 MiB 2022/04/19 02:13:03.515, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8528 MiB, 23982 MiB 2022/04/19 02:13:03.517, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8318 MiB, 24192 MiB 2022/04/19 02:13:03.519, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8528 MiB, 23982 MiB 2022/04/19 02:13:03.521, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8528 MiB, 23982 MiB 2022/04/19 02:13:03.524, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8528 MiB, 23982 MiB [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86797, top1: 0.00098, throughput: 379.71 | 2022-04-19 02:14:10.516 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86776, top1: 0.00105, throughput: 379.70 | 2022-04-19 02:14:10.517 [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86780, top1: 0.00141, throughput: 379.71 | 2022-04-19 02:14:10.520 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86773, top1: 0.00121, throughput: 379.70 | 2022-04-19 02:14:10.518 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86793, top1: 0.00074, throughput: 379.77[rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86781, top1: 0.00102, throughput: 379.70 | 2022-04-19 02:14:10.522 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86757, top1: 0.00113, throughput: 379.78 | 2022-04-19 02:14:10.523 | 2022-04-19 02:14:10.523 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86778, top1: 0.00113, throughput: 379.73 | 2022-04-19 02:14:10.528 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86782, top1: 0.00145, throughput: 379.27 | 2022-04-19 02:15:18.014 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86787, top1: 0.00090, throughput: 379.26 | 2022-04-19 02:15:18.016 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86762, top1: 0.00094, throughput: 379.27 | 2022-04-19 02:15:18.016 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86764, top1: 0.00141, throughput: 379.28 | 2022-04-19 02:15:18.020 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86782, top1: 0.00133, throughput: 379.27 | 2022-04-19 02:15:18.021 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86772, top1: 0.00137, throughput: 379.27 | 2022-04-19 02:15:18.020 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86760, top1: 0.00094, throughput: 379.27 | 2022-04-19 02:15:18.018 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86783, top1: 0.00141, throughput: 379.30 | 2022-04-19 02:15:18.021