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 W20220409 01:51:02.693850 2040 rpc_client.cpp:190] LoadServer 10.7.208.28 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220409 01:51:02.696190 2038 rpc_client.cpp:190] LoadServer 10.7.208.28 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220409 01:51:02.698896 2037 rpc_client.cpp:190] LoadServer 10.7.208.28 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: 2.55065 s ***** [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86723, top1: 0.00102, throughput: 260.38 | 2022-04-09 01:52:56.004 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86735, top1: 0.00105, throughput: 260.41 | 2022-04-09 01:52:56.003 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86776, top1: 0.00102, throughput: 260.38 | 2022-04-09 01:52:56.003 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86776, top1: 0.00090, throughput: 260.38 | 2022-04-09 01:52:56.010 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86761, top1: 0.00062, throughput: 260.39 | 2022-04-09 01:52:56.007 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86748, top1: 0.00062, throughput: 260.37 | 2022-04-09 01:52:56.009 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86762, top1: 0.00105, throughput: 260.39 | 2022-04-09 01:52:56.008 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86749, top1: 0.00109, throughput: 260.38 | 2022-04-09 01:52:56.009 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] 2022/04/09 01:52:56.356, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7743 MiB, 24767 MiB 2022/04/09 01:52:56.357, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7743 MiB, 24767 MiB 2022/04/09 01:52:56.357, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7743 MiB, 24767 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] 2022/04/09 01:52:56.367, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7726 MiB, 24784 MiB 2022/04/09 01:52:56.367, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7726 MiB, 24784 MiB 2022/04/09 01:52:56.368, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7726 MiB, 24784 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/09 01:52:56.370, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7743 MiB, 24767 MiB 2022/04/09 01:52:56.371, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7743 MiB, 24767 MiB 2022/04/09 01:52:56.372, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7743 MiB, 24767 MiB 2022/04/09 01:52:56.376, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7872 MiB, 24638 MiB 2022/04/09 01:52:56.376, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7872 MiB, 24638 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/09 01:52:56.377, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7872 MiB, 24638 MiB 2022/04/09 01:52:56.379, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7743 MiB, 24767 MiB 2022/04/09 01:52:56.380, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7726 MiB, 24784 MiB 2022/04/09 01:52:56.381, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7726 MiB, 24784 MiB 2022/04/09 01:52:56.382, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7726 MiB, 24784 MiB 2022/04/09 01:52:56.384, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7794 MiB, 24716 MiB 2022/04/09 01:52:56.384, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7794 MiB, 24716 MiB 2022/04/09 01:52:56.385, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7794 MiB, 24716 MiB 2022/04/09 01:52:56.384, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7743 MiB, 24767 MiB 2022/04/09 01:52:56.387, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7726 MiB, 24784 MiB 2022/04/09 01:52:56.389, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7872 MiB, 24638 MiB 2022/04/09 01:52:56.389, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7872 MiB, 24638 MiB 2022/04/09 01:52:56.390, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7872 MiB, 24638 MiB 2022/04/09 01:52:56.392, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 7850 MiB, 24660 MiB 2022/04/09 01:52:56.392, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 7850 MiB, 24660 MiB 2022/04/09 01:52:56.393, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 7850 MiB, 24660 MiB 2022/04/09 01:52:56.394, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7726 MiB, 24784 MiB 2022/04/09 01:52:56.396, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7872 MiB, 24638 MiB 2022/04/09 01:52:56.397, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7794 MiB, 24716 MiB 2022/04/09 01:52:56.398, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7794 MiB, 24716 MiB 2022/04/09 01:52:56.399, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7794 MiB, 24716 MiB 2022/04/09 01:52:56.401, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/09 01:52:56.401, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/09 01:52:56.402, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/09 01:52:56.403, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7872 MiB, 24638 MiB 2022/04/09 01:52:56.405, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7794 MiB, 24716 MiB 2022/04/09 01:52:56.406, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7850 MiB, 24660 MiB 2022/04/09 01:52:56.407, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7850 MiB, 24660 MiB 2022/04/09 01:52:56.408, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7850 MiB, 24660 MiB 2022/04/09 01:52:56.409, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7536 MiB, 24974 MiB 2022/04/09 01:52:56.410, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7536 MiB, 24974 MiB 2022/04/09 01:52:56.415, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7536 MiB, 24974 MiB 2022/04/09 01:52:56.415, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7794 MiB, 24716 MiB 2022/04/09 01:52:56.430, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7850 MiB, 24660 MiB 2022/04/09 01:52:56.431, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/09 01:52:56.432, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/09 01:52:56.433, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/09 01:52:56.435, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7734 MiB, 24776 MiB 2022/04/09 01:52:56.435, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7734 MiB, 24776 MiB 2022/04/09 01:52:56.436, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7734 MiB, 24776 MiB 2022/04/09 01:52:56.436, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7850 MiB, 24660 MiB 2022/04/09 01:52:56.439, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/09 01:52:56.440, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7536 MiB, 24974 MiB 2022/04/09 01:52:56.440, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7536 MiB, 24974 MiB 2022/04/09 01:52:56.442, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7536 MiB, 24974 MiB 2022/04/09 01:52:56.445, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/09 01:52:56.447, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7536 MiB, 24974 MiB 2022/04/09 01:52:56.448, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7734 MiB, 24776 MiB 2022/04/09 01:52:56.449, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7734 MiB, 24776 MiB 2022/04/09 01:52:56.450, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7734 MiB, 24776 MiB 2022/04/09 01:52:56.452, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7536 MiB, 24974 MiB 2022/04/09 01:52:56.454, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7734 MiB, 24776 MiB 2022/04/09 01:52:56.459, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7734 MiB, 24776 MiB [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86757, top1: 0.00066, throughput: 385.18 | 2022-04-09 01:54:02.466 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86765, top1: 0.00105, throughput: 385.23 | 2022-04-09 01:54:02.463 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86728, top1: 0.00086, throughput: 385.18 | 2022-04-09 01:54:02.465 [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86749, top1: 0.00086, throughput: 385.18 | 2022-04-09 01:54:02.466 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86740, top1: 0.00098, throughput: 385.18 | 2022-04-09 01:54:02.470 [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86766, top1: 0.00090, throughput: 385.18 | 2022-04-09 01:54:02.469 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86761, top1: 0.00102, throughput: 385.18 | 2022-04-09 01:54:02.472 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86750, top1: 0.00113, throughput: 385.18 | 2022-04-09 01:54:02.472 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86757, top1: 0.00074, throughput: 386.54 | 2022-04-09 01:55:08.695 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86758, top1: 0.00090, throughput: 386.54 | 2022-04-09 01:55:08.694 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86782, top1: 0.00074, throughput: 386.54 | 2022-04-09 01:55:08.695 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86784, top1: 0.00074, throughput: 386.49 | 2022-04-09 01:55:08.700 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86735, top1: 0.00094, throughput: 386.54 | 2022-04-09 01:55:08.699 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86746, top1: 0.00094, throughput: 386.54 | 2022-04-09 01:55:08.698 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86755, top1: 0.00141, throughput: 386.53 | 2022-04-09 01:55:08.702 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86754, top1: 0.00098, throughput: 386.53 | 2022-04-09 01:55:08.703