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: /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: 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 W20220428 01:49:35.631147 3663 rpc_client.cpp:190] LoadServer 10.7.183.15 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 .................................. 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: 2.96177 s ***** [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86739, top1: 0.00061, throughput: 456.30 | 2022-04-28 01:51:43.178 [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86733, top1: 0.00092, throughput: 456.32 | 2022-04-28 01:51:43.179 [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86761, top1: 0.00074, throughput: 456.32 | 2022-04-28 01:51:43.179 [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86739, top1: 0.00074, throughput: 456.30 | 2022-04-28 01:51:43.179 [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86729, top1: 0.00084, throughput: 456.31 | 2022-04-28 01:51:43.180 [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86753, top1: 0.00070, throughput: 456.31 | 2022-04-28 01:51:43.179 [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86756, top1: 0.00086, throughput: 456.34 | 2022-04-28 01:51:43.177 [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86707, top1: 0.00070, throughput: 456.32 | 2022-04-28 01:51:43.180 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] timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/28 01:51:43.492, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8563 MiB, 23947 MiB 2022/04/28 01:51:43.493, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8563 MiB, 23947 MiB 2022/04/28 01:51:43.494, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8563 MiB, 23947 MiB 2022/04/28 01:51:43.496, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8563 MiB, 23947 MiB 2022/04/28 01:51:43.499, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 90 %, 32510 MiB, 8572 MiB, 23938 MiB 2022/04/28 01:51:43.499, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8563 MiB, 23947 MiB 2022/04/28 01:51:43.501, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 90 %, 32510 MiB, 8572 MiB, 23938 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/28 01:51:43.502, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 90 %, 32510 MiB, 8572 MiB, 23938 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/28 01:51:43.504, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 90 %, 32510 MiB, 8572 MiB, 23938 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/28 01:51:43.506, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 93 %, 32510 MiB, 8724 MiB, 23786 MiB 2022/04/28 01:51:43.506, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 90 %, 32510 MiB, 8572 MiB, 23938 MiB 2022/04/28 01:51:43.507, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 93 %, 32510 MiB, 8724 MiB, 23786 MiB 2022/04/28 01:51:43.508, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8563 MiB, 23947 MiB 2022/04/28 01:51:43.509, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 92 %, 32510 MiB, 8724 MiB, 23786 MiB 2022/04/28 01:51:43.510, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8563 MiB, 23947 MiB 2022/04/28 01:51:43.511, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 91 %, 32510 MiB, 8724 MiB, 23786 MiB 2022/04/28 01:51:43.511, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8563 MiB, 23947 MiB 2022/04/28 01:51:43.513, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 80 %, 32510 MiB, 8676 MiB, 23834 MiB 2022/04/28 01:51:43.514, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 91 %, 32510 MiB, 8724 MiB, 23786 MiB 2022/04/28 01:51:43.515, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 80 %, 32510 MiB, 8676 MiB, 23834 MiB 2022/04/28 01:51:43.521, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 90 %, 32510 MiB, 8572 MiB, 23938 MiB 2022/04/28 01:51:43.532, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 80 %, 32510 MiB, 8676 MiB, 23834 MiB 2022/04/28 01:51:43.558, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 90 %, 32510 MiB, 8572 MiB, 23938 MiB 2022/04/28 01:51:43.562, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 80 %, 32510 MiB, 8676 MiB, 23834 MiB 2022/04/28 01:51:43.567, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 90 %, 32510 MiB, 8572 MiB, 23938 MiB 2022/04/28 01:51:43.571, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 8712 MiB, 23798 MiB 2022/04/28 01:51:43.572, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 80 %, 32510 MiB, 8676 MiB, 23834 MiB 2022/04/28 01:51:43.572, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 8712 MiB, 23798 MiB 2022/04/28 01:51:43.577, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 91 %, 32510 MiB, 8724 MiB, 23786 MiB 2022/04/28 01:51:43.578, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 8712 MiB, 23798 MiB 2022/04/28 01:51:43.586, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 91 %, 32510 MiB, 8724 MiB, 23786 MiB 2022/04/28 01:51:43.587, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 8712 MiB, 23798 MiB 2022/04/28 01:51:43.589, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 91 %, 32510 MiB, 8724 MiB, 23786 MiB 2022/04/28 01:51:43.590, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8556 MiB, 23954 MiB 2022/04/28 01:51:43.591, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 8712 MiB, 23798 MiB 2022/04/28 01:51:43.592, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8556 MiB, 23954 MiB 2022/04/28 01:51:43.593, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 80 %, 32510 MiB, 8676 MiB, 23834 MiB 2022/04/28 01:51:43.598, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8556 MiB, 23954 MiB 2022/04/28 01:51:43.607, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 80 %, 32510 MiB, 8676 MiB, 23834 MiB 2022/04/28 01:51:43.607, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8556 MiB, 23954 MiB 2022/04/28 01:51:43.609, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 80 %, 32510 MiB, 8676 MiB, 23834 MiB 2022/04/28 01:51:43.611, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 91 %, 32510 MiB, 8444 MiB, 24066 MiB 2022/04/28 01:51:43.612, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8556 MiB, 23954 MiB 2022/04/28 01:51:43.612, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 91 %, 32510 MiB, 8444 MiB, 24066 MiB 2022/04/28 01:51:43.618, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8712 MiB, 23798 MiB 2022/04/28 01:51:43.624, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8444 MiB, 24066 MiB 2022/04/28 01:51:43.631, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8712 MiB, 23798 MiB 2022/04/28 01:51:43.632, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8444 MiB, 24066 MiB 2022/04/28 01:51:43.633, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8712 MiB, 23798 MiB 2022/04/28 01:51:43.634, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8604 MiB, 23906 MiB 2022/04/28 01:51:43.641, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8444 MiB, 24066 MiB 2022/04/28 01:51:43.642, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8604 MiB, 23906 MiB 2022/04/28 01:51:43.660, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8556 MiB, 23954 MiB 2022/04/28 01:51:43.661, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8604 MiB, 23906 MiB 2022/04/28 01:51:43.664, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8556 MiB, 23954 MiB 2022/04/28 01:51:43.666, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8604 MiB, 23906 MiB 2022/04/28 01:51:43.667, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8556 MiB, 23954 MiB 2022/04/28 01:51:43.671, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8604 MiB, 23906 MiB 2022/04/28 01:51:43.674, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8444 MiB, 24066 MiB 2022/04/28 01:51:43.677, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8444 MiB, 24066 MiB 2022/04/28 01:51:43.679, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8444 MiB, 24066 MiB 2022/04/28 01:51:43.682, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8604 MiB, 23906 MiB 2022/04/28 01:51:43.687, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8604 MiB, 23906 MiB 2022/04/28 01:51:43.688, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8604 MiB, 23906 MiB [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86743, top1: 0.00074, throughput: 1345.90 | 2022-04-28 01:52:21.218 [rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86747, top1: 0.00057, throughput: 1345.90 | 2022-04-28 01:52:21.220 [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86746, top1: 0.00066, throughput: 1345.78 | 2022-04-28 01:52:21.224 [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86749, top1: 0.00076, throughput: 1345.87 | 2022-04-28 01:52:21.222 [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86758, top1: 0.00078, throughput: 1345.90 | 2022-04-28 01:52:21.220 [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86741, top1: 0.00072, throughput: 1345.73 | 2022-04-28 01:52:21.224 [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86734, top1: 0.00080, throughput: 1345.95 | 2022-04-28 01:52:21.220 [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86749, top1: 0.00084, throughput: 1345.86 | 2022-04-28 01:52:21.221 [rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86727, top1: 0.00088, throughput: 1331.40 | 2022-04-28 01:52:59.676 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86772, top1: 0.00064, throughput: 1331.36 | 2022-04-28 01:52:59.677 [rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86745, top1: 0.00092, throughput: 1331.33 | 2022-04-28 01:52:59.678 [rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86743, top1: 0.00072, throughput: 1331.32 | 2022-04-28 01:52:59.676 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86736, top1: 0.00072, throughput: 1331.56 | 2022-04-28 01:52:59.675 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86737, top1: 0.00082, throughput: 1331.41 | 2022-04-28 01:52:59.678 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86750, top1: 0.00070, throughput: 1331.40 | 2022-04-28 01:52:59.680 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86746, top1: 0.00078, throughput: 1331.38 | 2022-04-28 01:52:59.678