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 W20220421 02:04:15.347735 2040 rpc_client.cpp:190] LoadServer 10.7.179.227 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: 2.69884 s ***** [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86756, top1: 0.00117, throughput: 265.24 | 2022-04-21 02:06:06.657 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86762, top1: 0.00105, throughput: 265.22 | 2022-04-21 02:06:06.656 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86795, top1: 0.00078, throughput: 265.24 | 2022-04-21 02:06:06.662 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86779, top1: 0.00105, throughput: 265.23 | 2022-04-21 02:06:06.658 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86782, top1: 0.00109, throughput: 265.29 | 2022-04-21 02:06:06.664 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86774, top1: 0.00078, throughput: 265.39 | 2022-04-21 02:06:06.663 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86769, top1: 0.00070, throughput: 265.27 | 2022-04-21 02:06:06.663 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86770, top1: 0.00133, throughput: 265.23 | 2022-04-21 02:06:06.660 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] 2022/04/21 02:06:07.047, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7763 MiB, 24747 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/21 02:06:07.047, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7763 MiB, 24747 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/21 02:06:07.055, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7742 MiB, 24768 MiB 2022/04/21 02:06:07.056, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7742 MiB, 24768 MiB 2022/04/21 02:06:07.055, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7763 MiB, 24747 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] timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/21 02:06:07.060, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/21 02:06:07.061, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/21 02:06:07.060, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7763 MiB, 24747 MiB 2022/04/21 02:06:07.069, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7742 MiB, 24768 MiB 2022/04/21 02:06:07.069, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7763 MiB, 24747 MiB 2022/04/21 02:06:07.070, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7763 MiB, 24747 MiB 2022/04/21 02:06:07.070, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7763 MiB, 24747 MiB 2022/04/21 02:06:07.071, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7763 MiB, 24747 MiB 2022/04/21 02:06:07.077, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7906 MiB, 24604 MiB 2022/04/21 02:06:07.077, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7906 MiB, 24604 MiB 2022/04/21 02:06:07.077, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7742 MiB, 24768 MiB 2022/04/21 02:06:07.078, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/21 02:06:07.079, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7742 MiB, 24768 MiB 2022/04/21 02:06:07.080, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7742 MiB, 24768 MiB 2022/04/21 02:06:07.080, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7742 MiB, 24768 MiB 2022/04/21 02:06:07.081, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7742 MiB, 24768 MiB 2022/04/21 02:06:07.086, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7852 MiB, 24658 MiB 2022/04/21 02:06:07.086, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7852 MiB, 24658 MiB 2022/04/21 02:06:07.086, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/21 02:06:07.087, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7906 MiB, 24604 MiB 2022/04/21 02:06:07.088, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/21 02:06:07.089, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/21 02:06:07.089, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/21 02:06:07.090, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/21 02:06:07.094, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7726 MiB, 24784 MiB 2022/04/21 02:06:07.095, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7726 MiB, 24784 MiB 2022/04/21 02:06:07.095, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7906 MiB, 24604 MiB 2022/04/21 02:06:07.096, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7852 MiB, 24658 MiB 2022/04/21 02:06:07.097, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7906 MiB, 24604 MiB 2022/04/21 02:06:07.098, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7906 MiB, 24604 MiB 2022/04/21 02:06:07.098, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7906 MiB, 24604 MiB 2022/04/21 02:06:07.098, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7906 MiB, 24604 MiB 2022/04/21 02:06:07.104, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7586 MiB, 24924 MiB 2022/04/21 02:06:07.104, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7586 MiB, 24924 MiB 2022/04/21 02:06:07.104, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7852 MiB, 24658 MiB 2022/04/21 02:06:07.105, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7726 MiB, 24784 MiB 2022/04/21 02:06:07.107, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7852 MiB, 24658 MiB 2022/04/21 02:06:07.108, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7852 MiB, 24658 MiB 2022/04/21 02:06:07.109, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7852 MiB, 24658 MiB 2022/04/21 02:06:07.109, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7852 MiB, 24658 MiB 2022/04/21 02:06:07.118, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7810 MiB, 24700 MiB 2022/04/21 02:06:07.119, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7810 MiB, 24700 MiB 2022/04/21 02:06:07.119, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7726 MiB, 24784 MiB 2022/04/21 02:06:07.120, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 64 %, 32510 MiB, 7586 MiB, 24924 MiB 2022/04/21 02:06:07.121, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7726 MiB, 24784 MiB 2022/04/21 02:06:07.122, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7726 MiB, 24784 MiB 2022/04/21 02:06:07.122, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7726 MiB, 24784 MiB 2022/04/21 02:06:07.122, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7726 MiB, 24784 MiB 2022/04/21 02:06:07.128, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 64 %, 32510 MiB, 7586 MiB, 24924 MiB 2022/04/21 02:06:07.128, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7810 MiB, 24700 MiB 2022/04/21 02:06:07.129, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 64 %, 32510 MiB, 7586 MiB, 24924 MiB 2022/04/21 02:06:07.130, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 64 %, 32510 MiB, 7586 MiB, 24924 MiB 2022/04/21 02:06:07.131, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 64 %, 32510 MiB, 7586 MiB, 24924 MiB 2022/04/21 02:06:07.131, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 64 %, 32510 MiB, 7586 MiB, 24924 MiB 2022/04/21 02:06:07.136, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7810 MiB, 24700 MiB 2022/04/21 02:06:07.138, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7810 MiB, 24700 MiB 2022/04/21 02:06:07.138, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7810 MiB, 24700 MiB 2022/04/21 02:06:07.139, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7810 MiB, 24700 MiB 2022/04/21 02:06:07.139, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7810 MiB, 24700 MiB [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86777, top1: 0.00105, throughput: 370.75 | 2022-04-21 02:07:15.711 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86760, top1: 0.00102, throughput: 370.70 | 2022-04-21 02:07:15.716 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86763, top1: 0.00070, throughput: 370.71 | 2022-04-21 02:07:15.714 [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86771, top1: 0.00102, throughput: 370.70 | 2022-04-21 02:07:15.716 [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86758, top1: 0.00086, throughput: 370.71 | 2022-04-21 02:07:15.717 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86824, top1: 0.00098, throughput: 370.71 | 2022-04-21 02:07:15.721 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86776, top1: 0.00043, throughput: 370.70 | 2022-04-21 02:07:15.722 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86758, top1: 0.00102, throughput: 370.71 | 2022-04-21 02:07:15.721 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86762, top1: 0.00094, throughput: 373.91 | 2022-04-21 02:08:24.182 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86775, top1: 0.00090, throughput: 373.91[rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86788, top1: 0.00098, throughput: 373.91 | 2022-04-21 02:08:24.182 | 2022-04-21 02:08:24.180 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86748, top1: 0.00117, throughput: 373.86 | 2022-04-21 02:08:24.185 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86733, top1: 0.00098, throughput: 373.91 | 2022-04-21 02:08:24.186 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86743, top1: 0.00145, throughput: 373.91 | 2022-04-21 02:08:24.187 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86753, top1: 0.00074, throughput: 373.90 | 2022-04-21 02:08:24.185 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86727, top1: 0.00141, throughput: 373.89 | 2022-04-21 02:08:24.191