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: /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 W20220509 22:39:36.124306 2038 rpc_client.cpp:190] LoadServer 10.7.151.6 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220509 22:39:36.124821 2041 rpc_client.cpp:190] LoadServer 10.7.151.6 Failed at 0 times error_code 14 error_message failed to connect to all addresses ------------------------ arguments ------------------------ batches_per_epoch ............................... 625 channel_last .................................... False 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 ................................... 2.048 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 ................................ 256 train_global_batch_size ......................... 2048 use_fp16 ........................................ False 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: 3.08974 s ***** [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86745, top1: 0.00090, throughput: 262.57 | 2022-05-09 22:41:28.824 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86709, top1: 0.00125, throughput: 262.58 | 2022-05-09 22:41:28.824 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86779, top1: 0.00129, throughput: 262.56 | 2022-05-09 22:41:28.826 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86723, top1: 0.00094, throughput: 262.57 | 2022-05-09 22:41:28.825 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86752, top1: 0.00117, throughput: 262.56 | 2022-05-09 22:41:28.826 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86778, top1: 0.00070, throughput: 262.57 | 2022-05-09 22:41:28.825 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86759, top1: 0.00094, throughput: 262.56 | 2022-05-09 22:41:28.825 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86758, top1: 0.00102, throughput: 262.58 | 2022-05-09 22:41:28.825 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] 2022/05/09 22:41:29.131, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7763 MiB, 24747 MiB 2022/05/09 22:41:29.131, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7763 MiB, 24747 MiB 2022/05/09 22:41:29.140, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 56 %, 32510 MiB, 7760 MiB, 24750 MiB 2022/05/09 22:41:29.140, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 56 %, 32510 MiB, 7760 MiB, 24750 MiB 2022/05/09 22:41:29.139, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7763 MiB, 24747 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/09 22:41:29.147, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7922 MiB, 24588 MiB 2022/05/09 22:41:29.148, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7922 MiB, 24588 MiB 2022/05/09 22:41:29.148, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 56 %, 32510 MiB, 7760 MiB, 24750 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/09 22:41:29.150, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7763 MiB, 24747 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] 2022/05/09 22:41:29.154, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7904 MiB, 24606 MiB 2022/05/09 22:41:29.154, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7904 MiB, 24606 MiB 2022/05/09 22:41:29.155, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7922 MiB, 24588 MiB 2022/05/09 22:41:29.156, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7763 MiB, 24747 MiB 2022/05/09 22:41:29.157, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7760 MiB, 24750 MiB 2022/05/09 22:41:29.157, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7763 MiB, 24747 MiB 2022/05/09 22:41:29.158, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7763 MiB, 24747 MiB 2022/05/09 22:41:29.159, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7763 MiB, 24747 MiB 2022/05/09 22:41:29.161, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/05/09 22:41:29.162, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/05/09 22:41:29.162, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7904 MiB, 24606 MiB 2022/05/09 22:41:29.164, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7760 MiB, 24750 MiB 2022/05/09 22:41:29.165, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7922 MiB, 24588 MiB 2022/05/09 22:41:29.167, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7760 MiB, 24750 MiB 2022/05/09 22:41:29.168, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7760 MiB, 24750 MiB 2022/05/09 22:41:29.174, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7760 MiB, 24750 MiB 2022/05/09 22:41:29.175, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7736 MiB, 24774 MiB 2022/05/09 22:41:29.176, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7736 MiB, 24774 MiB 2022/05/09 22:41:29.176, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/05/09 22:41:29.179, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7922 MiB, 24588 MiB 2022/05/09 22:41:29.179, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7904 MiB, 24606 MiB 2022/05/09 22:41:29.182, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7922 MiB, 24588 MiB 2022/05/09 22:41:29.183, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7922 MiB, 24588 MiB 2022/05/09 22:41:29.184, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7922 MiB, 24588 MiB 2022/05/09 22:41:29.185, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7680 MiB, 24830 MiB 2022/05/09 22:41:29.186, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7680 MiB, 24830 MiB 2022/05/09 22:41:29.186, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7736 MiB, 24774 MiB 2022/05/09 22:41:29.188, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7904 MiB, 24606 MiB 2022/05/09 22:41:29.189, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/05/09 22:41:29.191, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7904 MiB, 24606 MiB 2022/05/09 22:41:29.192, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7904 MiB, 24606 MiB 2022/05/09 22:41:29.193, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7904 MiB, 24606 MiB 2022/05/09 22:41:29.194, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7768 MiB, 24742 MiB 2022/05/09 22:41:29.195, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7768 MiB, 24742 MiB 2022/05/09 22:41:29.195, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7680 MiB, 24830 MiB 2022/05/09 22:41:29.197, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/05/09 22:41:29.198, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7736 MiB, 24774 MiB 2022/05/09 22:41:29.200, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/05/09 22:41:29.201, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/05/09 22:41:29.202, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/05/09 22:41:29.204, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7768 MiB, 24742 MiB 2022/05/09 22:41:29.207, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7736 MiB, 24774 MiB 2022/05/09 22:41:29.207, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7680 MiB, 24830 MiB 2022/05/09 22:41:29.209, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7736 MiB, 24774 MiB 2022/05/09 22:41:29.210, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7736 MiB, 24774 MiB 2022/05/09 22:41:29.211, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7736 MiB, 24774 MiB 2022/05/09 22:41:29.215, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7680 MiB, 24830 MiB 2022/05/09 22:41:29.216, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7768 MiB, 24742 MiB 2022/05/09 22:41:29.218, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7680 MiB, 24830 MiB 2022/05/09 22:41:29.218, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7680 MiB, 24830 MiB 2022/05/09 22:41:29.219, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7680 MiB, 24830 MiB 2022/05/09 22:41:29.223, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7768 MiB, 24742 MiB 2022/05/09 22:41:29.226, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7768 MiB, 24742 MiB 2022/05/09 22:41:29.227, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7768 MiB, 24742 MiB 2022/05/09 22:41:29.228, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7768 MiB, 24742 MiB [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86785, top1: 0.00098, throughput: 375.29 | 2022-05-09 22:42:37.037 [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86778, top1: 0.00059, throughput: 375.30 | 2022-05-09 22:42:37.036 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86762, top1: 0.00070, throughput: 375.31 | 2022-05-09 22:42:37.037 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86774, top1: 0.00109, throughput: 375.30 | 2022-05-09 22:42:37.037 [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86718, top1: 0.00098, throughput: 375.29 | 2022-05-09 22:42:37.038 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86777, top1: 0.00098, throughput: 375.29 | 2022-05-09 22:42:37.039 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86732, top1: 0.00121, throughput: 375.29 | 2022-05-09 22:42:37.040 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86769, top1: 0.00039, throughput: 375.29 | 2022-05-09 22:42:37.038 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86744, top1: 0.00129, throughput: 373.22 | 2022-05-09 22:43:45.629 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86746, top1: 0.00086, throughput: 373.17 | 2022-05-09 22:43:45.638 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86727, top1: 0.00125, throughput: 373.17 | 2022-05-09 22:43:45.639 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86732, top1: 0.00094, throughput: 373.18 | 2022-05-09 22:43:45.639 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86777, top1: 0.00090, throughput: 373.17 | 2022-05-09 22:43:45.638 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86784, top1: 0.00043, throughput: 373.17 | 2022-05-09 22:43:45.639 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86786, top1: 0.00082, throughput: 373.18 | 2022-05-09 22:43:45.639 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86773, top1: 0.00082, throughput: 373.17 | 2022-05-09 22:43:45.641