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: /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 W20220415 11:48:46.916602 443 rpc_client.cpp:190] LoadServer 10.7.198.85 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220415 11:48:46.916622 444 rpc_client.cpp:190] LoadServer 10.7.198.85 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: 2.63874 s ***** [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86757, top1: 0.00129, throughput: 419.94 | 2022-04-15 11:51:03.802 [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86774, top1: 0.00111, throughput: 419.65 | 2022-04-15 11:51:03.799 [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86745, top1: 0.00127, throughput: 419.81 | 2022-04-15 11:51:03.800 [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86772, top1: 0.00105, throughput: 419.95 | 2022-04-15 11:51:03.799 [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86775, top1: 0.00115, throughput: 419.74 | 2022-04-15 11:51:03.803 [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86746, top1: 0.00115, throughput: 419.68 | 2022-04-15 11:51:03.801 [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86741, top1: 0.00119, throughput: 419.83 | 2022-04-15 11:51:03.801 [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86757, top1: 0.00113, throughput: 419.66 | 2022-04-15 11:51:03.803 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] 2022/04/15 11:51:04.076, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7793 MiB, 24717 MiB 2022/04/15 11:51:04.079, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7793 MiB, 24717 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/15 11:51:04.080, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7793 MiB, 24717 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/15 11:51:04.082, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7788 MiB, 24722 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] 2022/04/15 11:51:04.084, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7788 MiB, 24722 MiB 2022/04/15 11:51:04.085, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7788 MiB, 24722 MiB 2022/04/15 11:51:04.085, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7793 MiB, 24717 MiB 2022/04/15 11:51:04.086, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 7960 MiB, 24550 MiB 2022/04/15 11:51:04.086, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7793 MiB, 24717 MiB 2022/04/15 11:51:04.087, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7793 MiB, 24717 MiB 2022/04/15 11:51:04.088, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7793 MiB, 24717 MiB 2022/04/15 11:51:04.089, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 7960 MiB, 24550 MiB 2022/04/15 11:51:04.089, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7793 MiB, 24717 MiB 2022/04/15 11:51:04.091, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 7960 MiB, 24550 MiB 2022/04/15 11:51:04.091, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7788 MiB, 24722 MiB 2022/04/15 11:51:04.093, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 81 %, 32510 MiB, 7938 MiB, 24572 MiB 2022/04/15 11:51:04.094, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7788 MiB, 24722 MiB 2022/04/15 11:51:04.095, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7788 MiB, 24722 MiB 2022/04/15 11:51:04.097, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7788 MiB, 24722 MiB 2022/04/15 11:51:04.097, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 81 %, 32510 MiB, 7938 MiB, 24572 MiB 2022/04/15 11:51:04.098, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 7788 MiB, 24722 MiB 2022/04/15 11:51:04.099, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 81 %, 32510 MiB, 7938 MiB, 24572 MiB 2022/04/15 11:51:04.099, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 7960 MiB, 24550 MiB 2022/04/15 11:51:04.101, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7926 MiB, 24584 MiB 2022/04/15 11:51:04.102, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 7960 MiB, 24550 MiB 2022/04/15 11:51:04.103, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 7960 MiB, 24550 MiB 2022/04/15 11:51:04.104, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 7960 MiB, 24550 MiB 2022/04/15 11:51:04.105, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7926 MiB, 24584 MiB 2022/04/15 11:51:04.105, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 7960 MiB, 24550 MiB 2022/04/15 11:51:04.106, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7926 MiB, 24584 MiB 2022/04/15 11:51:04.107, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 81 %, 32510 MiB, 7938 MiB, 24572 MiB 2022/04/15 11:51:04.108, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 87 %, 32510 MiB, 7796 MiB, 24714 MiB 2022/04/15 11:51:04.109, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 81 %, 32510 MiB, 7938 MiB, 24572 MiB 2022/04/15 11:51:04.110, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 81 %, 32510 MiB, 7938 MiB, 24572 MiB 2022/04/15 11:51:04.112, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 81 %, 32510 MiB, 7938 MiB, 24572 MiB 2022/04/15 11:51:04.112, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 87 %, 32510 MiB, 7796 MiB, 24714 MiB 2022/04/15 11:51:04.112, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 81 %, 32510 MiB, 7938 MiB, 24572 MiB 2022/04/15 11:51:04.114, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 87 %, 32510 MiB, 7796 MiB, 24714 MiB 2022/04/15 11:51:04.114, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7926 MiB, 24584 MiB 2022/04/15 11:51:04.116, Tesla V100-SXM2-32GB, 470.57.02, 68 %, 58 %, 32510 MiB, 7692 MiB, 24818 MiB 2022/04/15 11:51:04.116, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7926 MiB, 24584 MiB 2022/04/15 11:51:04.118, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7926 MiB, 24584 MiB 2022/04/15 11:51:04.119, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7926 MiB, 24584 MiB 2022/04/15 11:51:04.120, Tesla V100-SXM2-32GB, 470.57.02, 68 %, 58 %, 32510 MiB, 7692 MiB, 24818 MiB 2022/04/15 11:51:04.120, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7926 MiB, 24584 MiB 2022/04/15 11:51:04.121, Tesla V100-SXM2-32GB, 470.57.02, 68 %, 58 %, 32510 MiB, 7692 MiB, 24818 MiB 2022/04/15 11:51:04.122, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 87 %, 32510 MiB, 7796 MiB, 24714 MiB 2022/04/15 11:51:04.123, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7842 MiB, 24668 MiB 2022/04/15 11:51:04.124, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 87 %, 32510 MiB, 7796 MiB, 24714 MiB 2022/04/15 11:51:04.125, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 87 %, 32510 MiB, 7796 MiB, 24714 MiB 2022/04/15 11:51:04.127, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 87 %, 32510 MiB, 7796 MiB, 24714 MiB 2022/04/15 11:51:04.127, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7842 MiB, 24668 MiB 2022/04/15 11:51:04.128, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 87 %, 32510 MiB, 7796 MiB, 24714 MiB 2022/04/15 11:51:04.129, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7842 MiB, 24668 MiB 2022/04/15 11:51:04.129, Tesla V100-SXM2-32GB, 470.57.02, 68 %, 58 %, 32510 MiB, 7692 MiB, 24818 MiB 2022/04/15 11:51:04.132, Tesla V100-SXM2-32GB, 470.57.02, 68 %, 58 %, 32510 MiB, 7692 MiB, 24818 MiB 2022/04/15 11:51:04.133, Tesla V100-SXM2-32GB, 470.57.02, 68 %, 58 %, 32510 MiB, 7692 MiB, 24818 MiB 2022/04/15 11:51:04.135, Tesla V100-SXM2-32GB, 470.57.02, 68 %, 58 %, 32510 MiB, 7692 MiB, 24818 MiB 2022/04/15 11:51:04.135, Tesla V100-SXM2-32GB, 470.57.02, 68 %, 58 %, 32510 MiB, 7692 MiB, 24818 MiB 2022/04/15 11:51:04.137, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7842 MiB, 24668 MiB 2022/04/15 11:51:04.139, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7842 MiB, 24668 MiB 2022/04/15 11:51:04.140, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7842 MiB, 24668 MiB 2022/04/15 11:51:04.142, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7842 MiB, 24668 MiB 2022/04/15 11:51:04.143, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7842 MiB, 24668 MiB [rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86746, top1: 0.00127, throughput: 1359.25 | 2022-04-15 11:51:41.468 [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86739, top1: 0.00187, throughput: 1359.19 | 2022-04-15 11:51:41.469 [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86760, top1: 0.00113, throughput: 1359.16 | 2022-04-15 11:51:41.472 [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86757, top1: 0.00146, throughput: 1359.21 | 2022-04-15 11:51:41.468 [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86763, top1: 0.00117, throughput: 1359.17 | 2022-04-15 11:51:41.472 [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86756, top1: 0.00125, throughput: 1359.23 | 2022-04-15 11:51:41.471 [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86755, top1: 0.00123, throughput: 1358.95 | 2022-04-15 11:51:41.477 [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86765, top1: 0.00137, throughput: 1359.24 | 2022-04-15 11:51:41.471 [rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86784, top1: 0.00115, throughput: 1359.07 | 2022-04-15 11:52:19.142 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86755, top1: 0.00111, throughput: 1359.09 | 2022-04-15 11:52:19.144 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86765, top1: 0.00123, throughput: 1359.07 | 2022-04-15 11:52:19.141 [rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86759, top1: 0.00115, throughput: 1359.07[rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86745, top1: 0.00119, throughput: 1359.32 | 2022-04-15 11:52:19.141 | 2022-04-15 11:52:19.143 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86725, top1: 0.00143, throughput: 1359.08 | 2022-04-15 11:52:19.144 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86747, top1: 0.00104, throughput: 1359.03 | 2022-04-15 11:52:19.145 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86762, top1: 0.00135, throughput: 1359.02 | 2022-04-15 11:52:19.145