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 W20220513 10:02:56.104707 2037 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 ............................................. 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: 3.11168 s ***** [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86708, top1: 0.00141, throughput: 262.77 | 2022-05-13 10:04:48.741 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86727, top1: 0.00160, throughput: 262.77 | 2022-05-13 10:04:48.742 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86691, top1: 0.00090, throughput: 262.76 | 2022-05-13 10:04:48.744 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86710, top1: 0.00121, throughput: 262.76 | 2022-05-13 10:04:48.743 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86755, top1: 0.00098, throughput: 262.76 | 2022-05-13 10:04:48.742 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86729, top1: 0.00145, throughput: 262.78 | 2022-05-13 10:04:48.743 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86697, top1: 0.00090, throughput: 262.79 | 2022-05-13 10:04:48.743 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86728, top1: 0.00105, throughput: 262.79 | 2022-05-13 10:04:48.743 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] 2022/05/13 10:04:49.018, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 54 %, 32510 MiB, 7791 MiB, 24719 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/13 10:04:49.020, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 54 %, 32510 MiB, 7791 MiB, 24719 MiB 2022/05/13 10:04:49.021, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 54 %, 32510 MiB, 7791 MiB, 24719 MiB 2022/05/13 10:04:49.024, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 58 %, 32510 MiB, 7668 MiB, 24842 MiB 2022/05/13 10:04:49.024, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 54 %, 32510 MiB, 7791 MiB, 24719 MiB 2022/05/13 10:04:49.027, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7668 MiB, 24842 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/13 10:04:49.028, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7668 MiB, 24842 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] 2022/05/13 10:04:49.029, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 7968 MiB, 24542 MiB 2022/05/13 10:04:49.030, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7668 MiB, 24842 MiB 2022/05/13 10:04:49.032, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 7968 MiB, 24542 MiB 2022/05/13 10:04:49.035, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 54 %, 32510 MiB, 7791 MiB, 24719 MiB 2022/05/13 10:04:49.036, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 7968 MiB, 24542 MiB 2022/05/13 10:04:49.036, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 54 %, 32510 MiB, 7791 MiB, 24719 MiB 2022/05/13 10:04:49.036, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 54 %, 32510 MiB, 7791 MiB, 24719 MiB 2022/05/13 10:04:49.036, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 54 %, 32510 MiB, 7791 MiB, 24719 MiB 2022/05/13 10:04:49.038, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 7844 MiB, 24666 MiB 2022/05/13 10:04:49.039, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 7968 MiB, 24542 MiB 2022/05/13 10:04:49.041, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 7844 MiB, 24666 MiB 2022/05/13 10:04:49.042, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7668 MiB, 24842 MiB 2022/05/13 10:04:49.043, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 7844 MiB, 24666 MiB 2022/05/13 10:04:49.044, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7668 MiB, 24842 MiB 2022/05/13 10:04:49.044, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7668 MiB, 24842 MiB 2022/05/13 10:04:49.044, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7668 MiB, 24842 MiB 2022/05/13 10:04:49.045, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 7868 MiB, 24642 MiB 2022/05/13 10:04:49.046, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 7844 MiB, 24666 MiB 2022/05/13 10:04:49.049, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 7868 MiB, 24642 MiB 2022/05/13 10:04:49.050, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 7968 MiB, 24542 MiB 2022/05/13 10:04:49.050, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 7868 MiB, 24642 MiB 2022/05/13 10:04:49.051, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 7968 MiB, 24542 MiB 2022/05/13 10:04:49.051, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 7968 MiB, 24542 MiB 2022/05/13 10:04:49.051, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 7968 MiB, 24542 MiB 2022/05/13 10:04:49.053, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7758 MiB, 24752 MiB 2022/05/13 10:04:49.054, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 7868 MiB, 24642 MiB 2022/05/13 10:04:49.056, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7758 MiB, 24752 MiB 2022/05/13 10:04:49.057, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 7844 MiB, 24666 MiB 2022/05/13 10:04:49.057, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7758 MiB, 24752 MiB 2022/05/13 10:04:49.058, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 7844 MiB, 24666 MiB 2022/05/13 10:04:49.058, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 7844 MiB, 24666 MiB 2022/05/13 10:04:49.059, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 7844 MiB, 24666 MiB 2022/05/13 10:04:49.060, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 48 %, 32510 MiB, 7636 MiB, 24874 MiB 2022/05/13 10:04:49.061, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7758 MiB, 24752 MiB 2022/05/13 10:04:49.063, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 48 %, 32510 MiB, 7636 MiB, 24874 MiB 2022/05/13 10:04:49.065, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 7868 MiB, 24642 MiB 2022/05/13 10:04:49.065, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 48 %, 32510 MiB, 7636 MiB, 24874 MiB 2022/05/13 10:04:49.066, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 7868 MiB, 24642 MiB 2022/05/13 10:04:49.066, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 7868 MiB, 24642 MiB 2022/05/13 10:04:49.066, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 7868 MiB, 24642 MiB 2022/05/13 10:04:49.068, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7752 MiB, 24758 MiB 2022/05/13 10:04:49.069, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 48 %, 32510 MiB, 7636 MiB, 24874 MiB 2022/05/13 10:04:49.071, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7752 MiB, 24758 MiB 2022/05/13 10:04:49.072, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7758 MiB, 24752 MiB 2022/05/13 10:04:49.072, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7752 MiB, 24758 MiB 2022/05/13 10:04:49.075, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7758 MiB, 24752 MiB 2022/05/13 10:04:49.075, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7758 MiB, 24752 MiB 2022/05/13 10:04:49.075, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7758 MiB, 24752 MiB 2022/05/13 10:04:49.078, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7752 MiB, 24758 MiB 2022/05/13 10:04:49.081, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 48 %, 32510 MiB, 7636 MiB, 24874 MiB 2022/05/13 10:04:49.083, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 48 %, 32510 MiB, 7636 MiB, 24874 MiB 2022/05/13 10:04:49.083, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 48 %, 32510 MiB, 7636 MiB, 24874 MiB 2022/05/13 10:04:49.083, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 48 %, 32510 MiB, 7636 MiB, 24874 MiB 2022/05/13 10:04:49.089, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7752 MiB, 24758 MiB 2022/05/13 10:04:49.090, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7752 MiB, 24758 MiB 2022/05/13 10:04:49.090, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7752 MiB, 24758 MiB 2022/05/13 10:04:49.090, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7752 MiB, 24758 MiB [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86706, top1: 0.00133, throughput: 370.89 | 2022-05-13 10:05:57.765 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86733, top1: 0.00086, throughput: 370.84 | 2022-05-13 10:05:57.774 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86727, top1: 0.00102, throughput: 370.85 | 2022-05-13 10:05:57.773 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86761, top1: 0.00121, throughput: 370.84 | 2022-05-13 10:05:57.774 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86704, top1: 0.00117, throughput: 370.84 | 2022-05-13 10:05:57.775 [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86723, top1: 0.00074, throughput: 370.84 | 2022-05-13 10:05:57.775 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86692, top1: 0.00168, throughput: 370.84 | 2022-05-13 10:05:57.774 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86728, top1: 0.00172, throughput: 370.84 | 2022-05-13 10:05:57.776 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86728, top1: 0.00109, throughput: 376.19 | 2022-05-13 10:07:05.824 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86739, top1: 0.00109, throughput: 376.20 | 2022-05-13 10:07:05.824 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86718, top1: 0.00156, throughput: 376.19 | 2022-05-13 10:07:05.825 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86708, top1: 0.00094, throughput: 376.19 | 2022-05-13 10:07:05.825 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86713, top1: 0.00109, throughput: 376.19 | 2022-05-13 10:07:05.826 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86728, top1: 0.00105, throughput: 376.14 | 2022-05-13 10:07:05.826 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86735, top1: 0.00102, throughput: 376.19 | 2022-05-13 10:07:05.825 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86720, top1: 0.00098, throughput: 376.18 | 2022-05-13 10:07:05.828