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: 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 W20220412 16:32:52.293118 405 rpc_client.cpp:190] LoadServer 10.7.220.201 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: 2.49094 s ***** [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86689, top1: 0.00082, throughput: 410.95 | 2022-04-12 16:35:11.949 [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86715, top1: 0.00090, throughput: 410.94 | 2022-04-12 16:35:11.949 [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86703, top1: 0.00088, throughput: 410.93 | 2022-04-12 16:35:11.950 [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86715, top1: 0.00061, throughput: 410.94 | 2022-04-12 16:35:11.949 [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86701, top1: 0.00078, throughput: 410.96 | 2022-04-12 16:35:11.950 [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86724, top1: 0.00078, throughput: 410.94 | 2022-04-12 16:35:11.952 [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86704, top1: 0.00074, throughput: 410.96 | 2022-04-12 16:35:11.950 [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86700, top1: 0.00072, throughput: 410.93 | 2022-04-12 16:35:11.953 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] 2022/04/12 16:35:12.179, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7851 MiB, 24659 MiB 2022/04/12 16:35:12.180, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7851 MiB, 24659 MiB 2022/04/12 16:35:12.181, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7851 MiB, 24659 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/12 16:35:12.185, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7828 MiB, 24682 MiB 2022/04/12 16:35:12.187, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7828 MiB, 24682 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/12 16:35:12.188, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7828 MiB, 24682 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/12 16:35:12.190, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7851 MiB, 24659 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/12 16:35:12.191, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 78 %, 32510 MiB, 8034 MiB, 24476 MiB 2022/04/12 16:35:12.193, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 78 %, 32510 MiB, 8034 MiB, 24476 MiB 2022/04/12 16:35:12.193, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 78 %, 32510 MiB, 8034 MiB, 24476 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/12 16:35:12.193, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7851 MiB, 24659 MiB 2022/04/12 16:35:12.195, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7851 MiB, 24659 MiB 2022/04/12 16:35:12.196, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7828 MiB, 24682 MiB 2022/04/12 16:35:12.197, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8006 MiB, 24504 MiB 2022/04/12 16:35:12.196, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7851 MiB, 24659 MiB 2022/04/12 16:35:12.199, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8006 MiB, 24504 MiB 2022/04/12 16:35:12.200, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8006 MiB, 24504 MiB 2022/04/12 16:35:12.200, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7828 MiB, 24682 MiB 2022/04/12 16:35:12.200, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7851 MiB, 24659 MiB 2022/04/12 16:35:12.203, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7828 MiB, 24682 MiB 2022/04/12 16:35:12.203, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 78 %, 32510 MiB, 8034 MiB, 24476 MiB 2022/04/12 16:35:12.204, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7986 MiB, 24524 MiB 2022/04/12 16:35:12.204, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7828 MiB, 24682 MiB 2022/04/12 16:35:12.206, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7986 MiB, 24524 MiB 2022/04/12 16:35:12.207, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7986 MiB, 24524 MiB 2022/04/12 16:35:12.208, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 78 %, 32510 MiB, 8034 MiB, 24476 MiB 2022/04/12 16:35:12.209, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7828 MiB, 24682 MiB 2022/04/12 16:35:12.211, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 78 %, 32510 MiB, 8034 MiB, 24476 MiB 2022/04/12 16:35:12.211, Tesla V100-SXM2-32GB, 470.57.02, 80 %, 72 %, 32510 MiB, 8006 MiB, 24504 MiB 2022/04/12 16:35:12.212, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7890 MiB, 24620 MiB 2022/04/12 16:35:12.212, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 78 %, 32510 MiB, 8034 MiB, 24476 MiB 2022/04/12 16:35:12.215, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7890 MiB, 24620 MiB 2022/04/12 16:35:12.216, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7890 MiB, 24620 MiB 2022/04/12 16:35:12.216, Tesla V100-SXM2-32GB, 470.57.02, 80 %, 72 %, 32510 MiB, 8006 MiB, 24504 MiB 2022/04/12 16:35:12.217, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 78 %, 32510 MiB, 8034 MiB, 24476 MiB 2022/04/12 16:35:12.219, Tesla V100-SXM2-32GB, 470.57.02, 80 %, 72 %, 32510 MiB, 8006 MiB, 24504 MiB 2022/04/12 16:35:12.219, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7986 MiB, 24524 MiB 2022/04/12 16:35:12.220, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 7748 MiB, 24762 MiB 2022/04/12 16:35:12.221, Tesla V100-SXM2-32GB, 470.57.02, 80 %, 72 %, 32510 MiB, 8006 MiB, 24504 MiB 2022/04/12 16:35:12.223, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 7748 MiB, 24762 MiB 2022/04/12 16:35:12.224, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 7748 MiB, 24762 MiB 2022/04/12 16:35:12.225, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7986 MiB, 24524 MiB 2022/04/12 16:35:12.226, Tesla V100-SXM2-32GB, 470.57.02, 80 %, 72 %, 32510 MiB, 8006 MiB, 24504 MiB 2022/04/12 16:35:12.227, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7986 MiB, 24524 MiB 2022/04/12 16:35:12.228, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7890 MiB, 24620 MiB 2022/04/12 16:35:12.229, Tesla V100-SXM2-32GB, 470.57.02, 77 %, 68 %, 32510 MiB, 7920 MiB, 24590 MiB 2022/04/12 16:35:12.229, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7986 MiB, 24524 MiB 2022/04/12 16:35:12.231, Tesla V100-SXM2-32GB, 470.57.02, 77 %, 68 %, 32510 MiB, 7920 MiB, 24590 MiB 2022/04/12 16:35:12.232, Tesla V100-SXM2-32GB, 470.57.02, 77 %, 68 %, 32510 MiB, 7920 MiB, 24590 MiB 2022/04/12 16:35:12.233, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7890 MiB, 24620 MiB 2022/04/12 16:35:12.234, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7986 MiB, 24524 MiB 2022/04/12 16:35:12.235, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7890 MiB, 24620 MiB 2022/04/12 16:35:12.235, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 7748 MiB, 24762 MiB 2022/04/12 16:35:12.237, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7890 MiB, 24620 MiB 2022/04/12 16:35:12.240, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 7748 MiB, 24762 MiB 2022/04/12 16:35:12.241, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7890 MiB, 24620 MiB 2022/04/12 16:35:12.242, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 7748 MiB, 24762 MiB 2022/04/12 16:35:12.243, Tesla V100-SXM2-32GB, 470.57.02, 77 %, 68 %, 32510 MiB, 7920 MiB, 24590 MiB 2022/04/12 16:35:12.244, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 7748 MiB, 24762 MiB 2022/04/12 16:35:12.247, Tesla V100-SXM2-32GB, 470.57.02, 77 %, 68 %, 32510 MiB, 7920 MiB, 24590 MiB 2022/04/12 16:35:12.247, Tesla V100-SXM2-32GB, 470.57.02, 65 %, 54 %, 32510 MiB, 7748 MiB, 24762 MiB 2022/04/12 16:35:12.249, Tesla V100-SXM2-32GB, 470.57.02, 77 %, 68 %, 32510 MiB, 7920 MiB, 24590 MiB 2022/04/12 16:35:12.251, Tesla V100-SXM2-32GB, 470.57.02, 77 %, 68 %, 32510 MiB, 7920 MiB, 24590 MiB 2022/04/12 16:35:12.254, Tesla V100-SXM2-32GB, 470.57.02, 77 %, 68 %, 32510 MiB, 7920 MiB, 24590 MiB [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86702, top1: 0.00057, throughput: 1328.79 | 2022-04-12 16:35:50.481 [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86699, top1: 0.00064, throughput: 1328.76 | 2022-04-12 16:35:50.481 [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86700, top1: 0.00084, throughput: 1328.77 | 2022-04-12 16:35:50.482 [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86692, top1: 0.00082, throughput: 1328.83 | 2022-04-12 16:35:50.482 [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86705, top1: 0.00066, throughput: 1328.68 | 2022-04-12 16:35:50.483 [rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86683, top1: 0.00055, throughput: 1328.56 | 2022-04-12 16:35:50.491 [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86707, top1: 0.00072, throughput: 1328.19 | 2022-04-12 16:35:50.499 [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86713, top1: 0.00072, throughput: 1328.18 | 2022-04-12 16:35:50.498 [rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86679, top1: 0.00078, throughput: 1332.26 | 2022-04-12 16:36:28.912 [rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86691, top1: 0.00064, throughput: 1332.72 | 2022-04-12 16:36:28.916 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86704, top1: 0.00049, throughput: 1332.22 | 2022-04-12 16:36:28.914 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86691, top1: 0.00080, throughput: 1332.25 | 2022-04-12 16:36:28.912 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86696, top1: 0.00078, throughput: 1332.24 | 2022-04-12 16:36:28.913 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86697, top1: 0.00043, throughput: 1332.30 | 2022-04-12 16:36:28.913 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86685, top1: 0.00072, throughput: 1332.82 | 2022-04-12 16:36:28.913 [rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86723, top1: 0.00082, throughput: 1332.42 | 2022-04-12 16:36:28.917