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: 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/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 10:07:13.876497 3666 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 ............................... 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: 3.06629 s ***** [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86781, top1: 0.00053, throughput: 447.93 | 2022-05-13 10:09:23.679 [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86744, top1: 0.00047, throughput: 447.95 | 2022-05-13 10:09:23.679 [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86749, top1: 0.00086, throughput: 447.94 | 2022-05-13 10:09:23.679 [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86773, top1: 0.00057, throughput: 447.95 | 2022-05-13 10:09:23.679 [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86765, top1: 0.00051, throughput: 447.94 | 2022-05-13 10:09:23.681 [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86751, top1: 0.00080, throughput: 447.95 | 2022-05-13 10:09:23.680 [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86777, top1: 0.00059, throughput: 447.95 | 2022-05-13 10:09:23.681 [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86761, top1: 0.00070, throughput: 447.95 | 2022-05-13 10:09:23.680 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 10:09:23.984, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/13 10:09:23.987, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 8561 MiB, 23949 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/13 10:09:23.995, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 8570 MiB, 23940 MiB 2022/05/13 10:09:23.999, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 8570 MiB, 23940 MiB 2022/05/13 10:09:24.001, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 8561 MiB, 23949 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/13 10:09:24.003, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 95 %, 32510 MiB, 8722 MiB, 23788 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/13 10:09:24.006, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 95 %, 32510 MiB, 8722 MiB, 23788 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 10:09:24.007, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 8570 MiB, 23940 MiB 2022/05/13 10:09:24.008, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 8674 MiB, 23836 MiB 2022/05/13 10:09:24.008, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/13 10:09:24.014, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/13 10:09:24.016, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 8674 MiB, 23836 MiB 2022/05/13 10:09:24.016, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/13 10:09:24.016, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/13 10:09:24.016, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/13 10:09:24.027, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 93 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/13 10:09:24.053, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/13 10:09:24.054, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 8570 MiB, 23940 MiB 2022/05/13 10:09:24.064, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 8570 MiB, 23940 MiB 2022/05/13 10:09:24.065, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/13 10:09:24.066, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 8570 MiB, 23940 MiB 2022/05/13 10:09:24.067, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 8570 MiB, 23940 MiB 2022/05/13 10:09:24.067, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 8570 MiB, 23940 MiB 2022/05/13 10:09:24.074, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 8674 MiB, 23836 MiB 2022/05/13 10:09:24.081, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 81 %, 32510 MiB, 8574 MiB, 23936 MiB 2022/05/13 10:09:24.081, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 93 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/13 10:09:24.084, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 93 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/13 10:09:24.084, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 81 %, 32510 MiB, 8574 MiB, 23936 MiB 2022/05/13 10:09:24.085, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 93 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/13 10:09:24.086, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 93 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/13 10:09:24.089, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 93 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/13 10:09:24.093, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/13 10:09:24.095, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 65 %, 32510 MiB, 8420 MiB, 24090 MiB 2022/05/13 10:09:24.096, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 8674 MiB, 23836 MiB 2022/05/13 10:09:24.104, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 8674 MiB, 23836 MiB 2022/05/13 10:09:24.104, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 65 %, 32510 MiB, 8420 MiB, 24090 MiB 2022/05/13 10:09:24.107, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 8674 MiB, 23836 MiB 2022/05/13 10:09:24.107, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 8674 MiB, 23836 MiB 2022/05/13 10:09:24.110, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 8674 MiB, 23836 MiB 2022/05/13 10:09:24.114, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 81 %, 32510 MiB, 8574 MiB, 23936 MiB 2022/05/13 10:09:24.123, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 70 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/13 10:09:24.123, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/13 10:09:24.128, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/13 10:09:24.128, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 70 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/13 10:09:24.131, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/13 10:09:24.132, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/13 10:09:24.132, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/13 10:09:24.133, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 65 %, 32510 MiB, 8420 MiB, 24090 MiB 2022/05/13 10:09:24.143, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 81 %, 32510 MiB, 8574 MiB, 23936 MiB 2022/05/13 10:09:24.146, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 81 %, 32510 MiB, 8574 MiB, 23936 MiB 2022/05/13 10:09:24.147, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 81 %, 32510 MiB, 8574 MiB, 23936 MiB 2022/05/13 10:09:24.147, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 81 %, 32510 MiB, 8574 MiB, 23936 MiB 2022/05/13 10:09:24.147, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 81 %, 32510 MiB, 8574 MiB, 23936 MiB 2022/05/13 10:09:24.149, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 70 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/13 10:09:24.154, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 65 %, 32510 MiB, 8420 MiB, 24090 MiB 2022/05/13 10:09:24.156, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 65 %, 32510 MiB, 8420 MiB, 24090 MiB 2022/05/13 10:09:24.159, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 65 %, 32510 MiB, 8420 MiB, 24090 MiB 2022/05/13 10:09:24.159, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 65 %, 32510 MiB, 8420 MiB, 24090 MiB 2022/05/13 10:09:24.160, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 65 %, 32510 MiB, 8420 MiB, 24090 MiB 2022/05/13 10:09:24.163, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 70 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/13 10:09:24.166, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 70 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/13 10:09:24.167, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 70 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/13 10:09:24.167, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 70 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/13 10:09:24.168, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 70 %, 32510 MiB, 8602 MiB, 23908 MiB [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86751, top1: 0.00066, throughput: 1351.92 | 2022-05-13 10:10:01.551 [rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86751, top1: 0.00057, throughput: 1351.92 | 2022-05-13 10:10:01.551 [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86773, top1: 0.00051, throughput: 1351.94 | 2022-05-13 10:10:01.552 [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86740, top1: 0.00064, throughput: 1351.92 | 2022-05-13 10:10:01.551 [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86727, top1: 0.00061, throughput: 1351.87 | 2022-05-13 10:10:01.553 [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86773, top1: 0.00072, throughput: 1351.89 | 2022-05-13 10:10:01.553 [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86739, top1: 0.00066, throughput: 1351.86 | 2022-05-13 10:10:01.554 [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86738, top1: 0.00086, throughput: 1351.90 | 2022-05-13 10:10:01.554 [rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86754, top1: 0.00072, throughput: 1359.69 | 2022-05-13 10:10:39.210 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86766, top1: 0.00055, throughput: 1359.47 | 2022-05-13 10:10:39.214 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86736, top1: 0.00047, throughput: 1359.61 | 2022-05-13 10:10:39.211 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86753, top1: 0.00088, throughput: 1359.64 | 2022-05-13 10:10:39.210 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86752, top1: 0.00064, throughput: 1359.57 | 2022-05-13 10:10:39.210 [rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86744, top1: 0.00059, throughput: 1359.52 | 2022-05-13 10:10:39.212 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86739, top1: 0.00053, throughput: 1359.51 | 2022-05-13 10:10:39.214 [rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86779, top1: 0.00064, throughput: 1359.50 | 2022-05-13 10:10:39.212