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: /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: loaded library: /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 W20220429 01:39:46.052486 403 rpc_client.cpp:190] LoadServer 10.7.155.237 Failed at 0 times error_code 14 error_message failed to connect to all addresses ------------------------ arguments ------------------------ batches_per_epoch ............................... 312 channel_last .................................... True 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 ................................... 4.096 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 ................................ 512 train_global_batch_size ......................... 4096 use_fp16 ........................................ True 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: 2.85003 s ***** [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86783, top1: 0.00072, throughput: 425.10 | 2022-04-29 01:42:01.483 [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86760, top1: 0.00070, throughput: 425.10 | 2022-04-29 01:42:01.484 [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86779, top1: 0.00082, throughput: 425.11 | 2022-04-29 01:42:01.484 [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86777, top1: 0.00076, throughput: 425.09 | 2022-04-29 01:42:01.484 [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86756, top1: 0.00066, throughput: 425.10 | 2022-04-29 01:42:01.486 [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86758, top1: 0.00070, throughput: 425.12 | 2022-04-29 01:42:01.486 [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86764, top1: 0.00064, throughput: 425.10 | 2022-04-29 01:42:01.485 [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86749, top1: 0.00070, throughput: 425.02 | 2022-04-29 01:42:01.505 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] 2022/04/29 01:42:01.720, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 55 %, 32510 MiB, 7781 MiB, 24729 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/29 01:42:01.724, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 85 %, 32510 MiB, 7781 MiB, 24729 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] 2022/04/29 01:42:01.727, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7752 MiB, 24758 MiB 2022/04/29 01:42:01.728, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 85 %, 32510 MiB, 7781 MiB, 24729 MiB 2022/04/29 01:42:01.734, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7752 MiB, 24758 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/29 01:42:01.735, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 85 %, 32510 MiB, 7781 MiB, 24729 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/29 01:42:01.735, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 85 %, 32510 MiB, 7781 MiB, 24729 MiB 2022/04/29 01:42:01.737, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7942 MiB, 24568 MiB 2022/04/29 01:42:01.738, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7752 MiB, 24758 MiB 2022/04/29 01:42:01.741, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7942 MiB, 24568 MiB 2022/04/29 01:42:01.741, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 85 %, 32510 MiB, 7781 MiB, 24729 MiB 2022/04/29 01:42:01.742, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7752 MiB, 24758 MiB 2022/04/29 01:42:01.742, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 85 %, 32510 MiB, 7781 MiB, 24729 MiB 2022/04/29 01:42:01.743, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7752 MiB, 24758 MiB 2022/04/29 01:42:01.744, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7906 MiB, 24604 MiB 2022/04/29 01:42:01.746, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7942 MiB, 24568 MiB 2022/04/29 01:42:01.748, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7906 MiB, 24604 MiB 2022/04/29 01:42:01.750, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7752 MiB, 24758 MiB 2022/04/29 01:42:01.750, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7942 MiB, 24568 MiB 2022/04/29 01:42:01.751, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7752 MiB, 24758 MiB 2022/04/29 01:42:01.751, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7942 MiB, 24568 MiB 2022/04/29 01:42:01.752, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7912 MiB, 24598 MiB 2022/04/29 01:42:01.754, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7906 MiB, 24604 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/29 01:42:01.757, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7912 MiB, 24598 MiB 2022/04/29 01:42:01.758, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7942 MiB, 24568 MiB 2022/04/29 01:42:01.758, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7906 MiB, 24604 MiB 2022/04/29 01:42:01.759, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7942 MiB, 24568 MiB 2022/04/29 01:42:01.760, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7906 MiB, 24604 MiB 2022/04/29 01:42:01.761, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 81 %, 32510 MiB, 7786 MiB, 24724 MiB 2022/04/29 01:42:01.763, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7912 MiB, 24598 MiB 2022/04/29 01:42:01.763, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 85 %, 32510 MiB, 7781 MiB, 24729 MiB 2022/04/29 01:42:01.765, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 81 %, 32510 MiB, 7786 MiB, 24724 MiB 2022/04/29 01:42:01.767, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7906 MiB, 24604 MiB 2022/04/29 01:42:01.767, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7912 MiB, 24598 MiB 2022/04/29 01:42:01.768, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7906 MiB, 24604 MiB 2022/04/29 01:42:01.768, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7912 MiB, 24598 MiB 2022/04/29 01:42:01.769, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7666 MiB, 24844 MiB 2022/04/29 01:42:01.771, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 81 %, 32510 MiB, 7786 MiB, 24724 MiB 2022/04/29 01:42:01.773, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7752 MiB, 24758 MiB 2022/04/29 01:42:01.774, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7666 MiB, 24844 MiB 2022/04/29 01:42:01.776, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7912 MiB, 24598 MiB 2022/04/29 01:42:01.776, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 81 %, 32510 MiB, 7786 MiB, 24724 MiB 2022/04/29 01:42:01.777, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7912 MiB, 24598 MiB 2022/04/29 01:42:01.777, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 81 %, 32510 MiB, 7786 MiB, 24724 MiB 2022/04/29 01:42:01.778, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 85 %, 32510 MiB, 7800 MiB, 24710 MiB 2022/04/29 01:42:01.780, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7666 MiB, 24844 MiB 2022/04/29 01:42:01.782, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7942 MiB, 24568 MiB 2022/04/29 01:42:01.783, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 85 %, 32510 MiB, 7800 MiB, 24710 MiB 2022/04/29 01:42:01.784, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 81 %, 32510 MiB, 7786 MiB, 24724 MiB 2022/04/29 01:42:01.785, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7666 MiB, 24844 MiB 2022/04/29 01:42:01.786, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 81 %, 32510 MiB, 7786 MiB, 24724 MiB 2022/04/29 01:42:01.786, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7666 MiB, 24844 MiB 2022/04/29 01:42:01.789, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 85 %, 32510 MiB, 7800 MiB, 24710 MiB 2022/04/29 01:42:01.791, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7906 MiB, 24604 MiB 2022/04/29 01:42:01.793, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7666 MiB, 24844 MiB 2022/04/29 01:42:01.793, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 85 %, 32510 MiB, 7800 MiB, 24710 MiB 2022/04/29 01:42:01.794, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7666 MiB, 24844 MiB 2022/04/29 01:42:01.795, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 85 %, 32510 MiB, 7800 MiB, 24710 MiB 2022/04/29 01:42:01.799, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7912 MiB, 24598 MiB 2022/04/29 01:42:01.801, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 85 %, 32510 MiB, 7800 MiB, 24710 MiB 2022/04/29 01:42:01.802, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 85 %, 32510 MiB, 7800 MiB, 24710 MiB 2022/04/29 01:42:01.806, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 81 %, 32510 MiB, 7786 MiB, 24724 MiB 2022/04/29 01:42:01.812, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7666 MiB, 24844 MiB 2022/04/29 01:42:01.824, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 85 %, 32510 MiB, 7800 MiB, 24710 MiB [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86758, top1: 0.00074, throughput: 1392.16 | 2022-04-29 01:42:38.261 [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86788, top1: 0.00062, throughput: 1392.09 | 2022-04-29 01:42:38.263 [rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86757, top1: 0.00080, throughput: 1392.16 | 2022-04-29 01:42:38.261 [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86779, top1: 0.00066, throughput: 1392.13 | 2022-04-29 01:42:38.261 [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86747, top1: 0.00084, throughput: 1392.13 | 2022-04-29 01:42:38.264 [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86767, top1: 0.00057, throughput: 1392.12 | 2022-04-29 01:42:38.264 [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86772, top1: 0.00053, throughput: 1392.94 | 2022-04-29 01:42:38.261 [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86742, top1: 0.00066, throughput: 1391.90 | 2022-04-29 01:42:38.269 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86750, top1: 0.00062, throughput: 1362.32 | 2022-04-29 01:43:15.846 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86769, top1: 0.00041, throughput: 1362.26 | 2022-04-29 01:43:15.846 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86756, top1: 0.00070, throughput: 1362.53 | 2022-04-29 01:43:15.846 [rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86750, top1: 0.00070, throughput: 1362.23 | 2022-04-29 01:43:15.846 [rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86751, top1: 0.00092, throughput: 1362.28 | 2022-04-29 01:43:15.845 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86778, top1: 0.00061, throughput: 1362.26 | 2022-04-29 01:43:15.848 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86757, top1: 0.00074, throughput: 1362.29 | 2022-04-29 01:43:15.845 [rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86736, top1: 0.00088, throughput: 1361.62 | 2022-04-29 01:43:15.866