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: 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 /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 W20220512 02:12:48.994745 5271 rpc_client.cpp:190] LoadServer 10.7.58.255 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: 3.02667 s ***** [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86745, top1: 0.00098, throughput: 275.62 | 2022-05-12 02:14:37.281 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86763, top1: 0.00113, throughput: 275.64 | 2022-05-12 02:14:37.280 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86762, top1: 0.00094, throughput: 275.63 | 2022-05-12 02:14:37.280 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86756, top1: 0.00102, throughput: 275.62 | 2022-05-12 02:14:37.282 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86740, top1: 0.00090, throughput: 275.62 | 2022-05-12 02:14:37.282 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86773, top1: 0.00078, throughput: 275.64 | 2022-05-12 02:14:37.280 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86811, top1: 0.00090, throughput: 275.62 | 2022-05-12 02:14:37.281 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86777, top1: 0.00094, throughput: 275.62 | 2022-05-12 02:14:37.282 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] 2022/05/12 02:14:37.612, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8512 MiB, 23998 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] 2022/05/12 02:14:37.613, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8512 MiB, 23998 MiB 2022/05/12 02:14:37.614, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8512 MiB, 23998 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/12 02:14:37.624, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8510 MiB, 24000 MiB 2022/05/12 02:14:37.624, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8512 MiB, 23998 MiB 2022/05/12 02:14:37.625, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8510 MiB, 24000 MiB 2022/05/12 02:14:37.625, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8512 MiB, 23998 MiB 2022/05/12 02:14:37.626, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8510 MiB, 24000 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] 2022/05/12 02:14:37.626, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8512 MiB, 23998 MiB 2022/05/12 02:14:37.631, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8638 MiB, 23872 MiB 2022/05/12 02:14:37.632, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8510 MiB, 24000 MiB 2022/05/12 02:14:37.632, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8638 MiB, 23872 MiB 2022/05/12 02:14:37.633, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8510 MiB, 24000 MiB 2022/05/12 02:14:37.633, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8638 MiB, 23872 MiB 2022/05/12 02:14:37.633, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8512 MiB, 23998 MiB 2022/05/12 02:14:37.635, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8510 MiB, 24000 MiB 2022/05/12 02:14:37.634, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8512 MiB, 23998 MiB 2022/05/12 02:14:37.639, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8616 MiB, 23894 MiB 2022/05/12 02:14:37.640, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8638 MiB, 23872 MiB 2022/05/12 02:14:37.641, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8616 MiB, 23894 MiB 2022/05/12 02:14:37.643, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8638 MiB, 23872 MiB 2022/05/12 02:14:37.644, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8616 MiB, 23894 MiB 2022/05/12 02:14:37.645, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8510 MiB, 24000 MiB 2022/05/12 02:14:37.646, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8638 MiB, 23872 MiB 2022/05/12 02:14:37.646, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8510 MiB, 24000 MiB 2022/05/12 02:14:37.650, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8628 MiB, 23882 MiB 2022/05/12 02:14:37.651, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8616 MiB, 23894 MiB 2022/05/12 02:14:37.652, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8628 MiB, 23882 MiB 2022/05/12 02:14:37.652, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8616 MiB, 23894 MiB 2022/05/12 02:14:37.653, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8628 MiB, 23882 MiB 2022/05/12 02:14:37.654, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8638 MiB, 23872 MiB 2022/05/12 02:14:37.654, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8616 MiB, 23894 MiB 2022/05/12 02:14:37.655, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8638 MiB, 23872 MiB 2022/05/12 02:14:37.659, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8402 MiB, 24108 MiB 2022/05/12 02:14:37.660, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8628 MiB, 23882 MiB 2022/05/12 02:14:37.661, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8402 MiB, 24108 MiB 2022/05/12 02:14:37.666, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8628 MiB, 23882 MiB 2022/05/12 02:14:37.666, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8402 MiB, 24108 MiB 2022/05/12 02:14:37.668, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8616 MiB, 23894 MiB 2022/05/12 02:14:37.668, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8628 MiB, 23882 MiB 2022/05/12 02:14:37.669, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8616 MiB, 23894 MiB 2022/05/12 02:14:37.673, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8362 MiB, 24148 MiB 2022/05/12 02:14:37.674, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8402 MiB, 24108 MiB 2022/05/12 02:14:37.675, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8362 MiB, 24148 MiB 2022/05/12 02:14:37.675, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8402 MiB, 24108 MiB 2022/05/12 02:14:37.676, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8362 MiB, 24148 MiB 2022/05/12 02:14:37.677, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8628 MiB, 23882 MiB 2022/05/12 02:14:37.678, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8402 MiB, 24108 MiB 2022/05/12 02:14:37.678, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8628 MiB, 23882 MiB 2022/05/12 02:14:37.682, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8512 MiB, 23998 MiB 2022/05/12 02:14:37.684, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8362 MiB, 24148 MiB 2022/05/12 02:14:37.684, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8512 MiB, 23998 MiB 2022/05/12 02:14:37.685, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8362 MiB, 24148 MiB 2022/05/12 02:14:37.685, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8512 MiB, 23998 MiB 2022/05/12 02:14:37.687, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8402 MiB, 24108 MiB 2022/05/12 02:14:37.687, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8362 MiB, 24148 MiB 2022/05/12 02:14:37.699, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8402 MiB, 24108 MiB 2022/05/12 02:14:37.704, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8512 MiB, 23998 MiB 2022/05/12 02:14:37.705, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8512 MiB, 23998 MiB 2022/05/12 02:14:37.707, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8362 MiB, 24148 MiB 2022/05/12 02:14:37.708, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8512 MiB, 23998 MiB 2022/05/12 02:14:37.708, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8362 MiB, 24148 MiB 2022/05/12 02:14:37.715, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8512 MiB, 23998 MiB 2022/05/12 02:14:37.717, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8512 MiB, 23998 MiB [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86774, top1: 0.00105, throughput: 379.69 | 2022-05-12 02:15:44.705 [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86744, top1: 0.00117, throughput: 379.67 | 2022-05-12 02:15:44.707 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86748, top1: 0.00078, throughput: 379.68 | 2022-05-12 02:15:44.707 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86741, top1: 0.00102, throughput: 379.68 | 2022-05-12 02:15:44.707 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86779, top1: 0.00074, throughput: 379.68 | 2022-05-12 02:15:44.706 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86780, top1: 0.00117, throughput: 379.68 | 2022-05-12 02:15:44.707 [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86766, top1: 0.00086, throughput: 379.67 | 2022-05-12 02:15:44.708 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86780, top1: 0.00090, throughput: 379.67 | 2022-05-12 02:15:44.707 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86764, top1: 0.00074, throughput: 378.50 | 2022-05-12 02:16:52.341 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86772, top1: 0.00109, throughput: 378.51 | 2022-05-12 02:16:52.341 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86765, top1: 0.00086, throughput: 378.50 | 2022-05-12 02:16:52.343 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86737, top1: 0.00121, throughput: 378.50 | 2022-05-12 02:16:52.343 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86744, top1: 0.00102, throughput: 378.50 | 2022-05-12 02:16:52.342 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86740, top1: 0.00062, throughput: 378.51 | 2022-05-12 02:16:52.341 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86766, top1: 0.00082, throughput: 378.50 | 2022-05-12 02:16:52.342 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86753, top1: 0.00094, throughput: 378.50 | 2022-05-12 02:16:52.341