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: 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 W20220422 10:07:58.978621 442 rpc_client.cpp:190] LoadServer 10.7.5.228 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220422 10:07:58.979779 441 rpc_client.cpp:190] LoadServer 10.7.5.228 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220422 10:07:58.980386 444 rpc_client.cpp:190] LoadServer 10.7.5.228 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220422 10:07:58.980573 443 rpc_client.cpp:190] LoadServer 10.7.5.228 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: 2.52935 s ***** [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86737, top1: 0.00076, throughput: 431.66 | 2022-04-22 10:10:12.558 [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86750, top1: 0.00082, throughput: 431.62 [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86736, top1: 0.00070, throughput: 431.43| 2022-04-22 10:10:12.558 | 2022-04-22 10:10:12.558 [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86769, top1: 0.00070, throughput: 431.46 | 2022-04-22 10:10:12.560 [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86769, top1: 0.00086, throughput: 431.35 [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86760, top1: 0.00092, throughput: 431.61| 2022-04-22 10:10:12.560 | 2022-04-22 10:10:12.561 [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86748, top1: 0.00092, throughput: 431.40 | 2022-04-22 10:10:12.560 [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86764, top1: 0.00076, throughput: 430.90 | 2022-04-22 10:10:12.560 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] 2022/04/22 10:10:12.823, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7787 MiB, 24723 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/22 10:10:12.824, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7787 MiB, 24723 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] timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/22 10:10:12.829, Tesla V100-SXM2-32GB, 470.57.02, 74 %, 65 %, 32510 MiB, 7806 MiB, 24704 MiB 2022/04/22 10:10:12.830, Tesla V100-SXM2-32GB, 470.57.02, 74 %, 65 %, 32510 MiB, 7806 MiB, 24704 MiB 2022/04/22 10:10:12.830, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7787 MiB, 24723 MiB 2022/04/22 10:10:12.832, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7787 MiB, 24723 MiB 2022/04/22 10:10:12.844, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7787 MiB, 24723 MiB 2022/04/22 10:10:12.844, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7787 MiB, 24723 MiB 2022/04/22 10:10:12.844, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7787 MiB, 24723 MiB 2022/04/22 10:10:12.844, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7787 MiB, 24723 MiB 2022/04/22 10:10:12.845, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7994 MiB, 24516 MiB 2022/04/22 10:10:12.846, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7994 MiB, 24516 MiB 2022/04/22 10:10:12.847, Tesla V100-SXM2-32GB, 470.57.02, 74 %, 65 %, 32510 MiB, 7806 MiB, 24704 MiB 2022/04/22 10:10:12.850, Tesla V100-SXM2-32GB, 470.57.02, 74 %, 65 %, 32510 MiB, 7806 MiB, 24704 MiB 2022/04/22 10:10:12.853, Tesla V100-SXM2-32GB, 470.57.02, 74 %, 65 %, 32510 MiB, 7806 MiB, 24704 MiB 2022/04/22 10:10:12.853, Tesla V100-SXM2-32GB, 470.57.02, 74 %, 65 %, 32510 MiB, 7806 MiB, 24704 MiB 2022/04/22 10:10:12.853, Tesla V100-SXM2-32GB, 470.57.02, 74 %, 65 %, 32510 MiB, 7806 MiB, 24704 MiB 2022/04/22 10:10:12.853, Tesla V100-SXM2-32GB, 470.57.02, 74 %, 65 %, 32510 MiB, 7806 MiB, 24704 MiB 2022/04/22 10:10:12.854, Tesla V100-SXM2-32GB, 470.57.02, 90 %, 81 %, 32510 MiB, 7916 MiB, 24594 MiB 2022/04/22 10:10:12.855, Tesla V100-SXM2-32GB, 470.57.02, 90 %, 81 %, 32510 MiB, 7916 MiB, 24594 MiB 2022/04/22 10:10:12.855, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7994 MiB, 24516 MiB 2022/04/22 10:10:12.859, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7994 MiB, 24516 MiB 2022/04/22 10:10:12.861, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7994 MiB, 24516 MiB 2022/04/22 10:10:12.861, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7994 MiB, 24516 MiB 2022/04/22 10:10:12.861, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7994 MiB, 24516 MiB 2022/04/22 10:10:12.862, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7994 MiB, 24516 MiB 2022/04/22 10:10:12.862, Tesla V100-SXM2-32GB, 470.57.02, 70 %, 63 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/04/22 10:10:12.863, Tesla V100-SXM2-32GB, 470.57.02, 70 %, 63 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/04/22 10:10:12.863, Tesla V100-SXM2-32GB, 470.57.02, 90 %, 81 %, 32510 MiB, 7916 MiB, 24594 MiB 2022/04/22 10:10:12.867, Tesla V100-SXM2-32GB, 470.57.02, 90 %, 81 %, 32510 MiB, 7916 MiB, 24594 MiB 2022/04/22 10:10:12.869, Tesla V100-SXM2-32GB, 470.57.02, 90 %, 81 %, 32510 MiB, 7916 MiB, 24594 MiB 2022/04/22 10:10:12.869, Tesla V100-SXM2-32GB, 470.57.02, 90 %, 81 %, 32510 MiB, 7916 MiB, 24594 MiB 2022/04/22 10:10:12.869, Tesla V100-SXM2-32GB, 470.57.02, 90 %, 81 %, 32510 MiB, 7916 MiB, 24594 MiB 2022/04/22 10:10:12.869, Tesla V100-SXM2-32GB, 470.57.02, 90 %, 81 %, 32510 MiB, 7916 MiB, 24594 MiB 2022/04/22 10:10:12.870, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 64 %, 32510 MiB, 7798 MiB, 24712 MiB 2022/04/22 10:10:12.871, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 64 %, 32510 MiB, 7798 MiB, 24712 MiB 2022/04/22 10:10:12.871, Tesla V100-SXM2-32GB, 470.57.02, 70 %, 63 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/04/22 10:10:12.874, Tesla V100-SXM2-32GB, 470.57.02, 70 %, 63 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/04/22 10:10:12.876, Tesla V100-SXM2-32GB, 470.57.02, 70 %, 63 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/04/22 10:10:12.877, Tesla V100-SXM2-32GB, 470.57.02, 70 %, 63 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/04/22 10:10:12.877, Tesla V100-SXM2-32GB, 470.57.02, 70 %, 63 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/04/22 10:10:12.877, Tesla V100-SXM2-32GB, 470.57.02, 70 %, 63 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/04/22 10:10:12.877, Tesla V100-SXM2-32GB, 470.57.02, 66 %, 56 %, 32510 MiB, 7668 MiB, 24842 MiB 2022/04/22 10:10:12.879, Tesla V100-SXM2-32GB, 470.57.02, 66 %, 56 %, 32510 MiB, 7668 MiB, 24842 MiB 2022/04/22 10:10:12.879, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 64 %, 32510 MiB, 7798 MiB, 24712 MiB 2022/04/22 10:10:12.882, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 64 %, 32510 MiB, 7798 MiB, 24712 MiB 2022/04/22 10:10:12.887, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 64 %, 32510 MiB, 7798 MiB, 24712 MiB 2022/04/22 10:10:12.887, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 64 %, 32510 MiB, 7798 MiB, 24712 MiB 2022/04/22 10:10:12.888, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 64 %, 32510 MiB, 7798 MiB, 24712 MiB 2022/04/22 10:10:12.888, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 64 %, 32510 MiB, 7798 MiB, 24712 MiB 2022/04/22 10:10:12.888, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7838 MiB, 24672 MiB 2022/04/22 10:10:12.889, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7838 MiB, 24672 MiB 2022/04/22 10:10:12.890, Tesla V100-SXM2-32GB, 470.57.02, 66 %, 56 %, 32510 MiB, 7668 MiB, 24842 MiB 2022/04/22 10:10:12.893, Tesla V100-SXM2-32GB, 470.57.02, 66 %, 56 %, 32510 MiB, 7668 MiB, 24842 MiB 2022/04/22 10:10:12.895, Tesla V100-SXM2-32GB, 470.57.02, 66 %, 56 %, 32510 MiB, 7668 MiB, 24842 MiB 2022/04/22 10:10:12.895, Tesla V100-SXM2-32GB, 470.57.02, 66 %, 56 %, 32510 MiB, 7668 MiB, 24842 MiB 2022/04/22 10:10:12.896, Tesla V100-SXM2-32GB, 470.57.02, 66 %, 56 %, 32510 MiB, 7668 MiB, 24842 MiB 2022/04/22 10:10:12.896, Tesla V100-SXM2-32GB, 470.57.02, 66 %, 56 %, 32510 MiB, 7668 MiB, 24842 MiB 2022/04/22 10:10:12.898, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7838 MiB, 24672 MiB 2022/04/22 10:10:12.901, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7838 MiB, 24672 MiB 2022/04/22 10:10:12.903, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7838 MiB, 24672 MiB 2022/04/22 10:10:12.903, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7838 MiB, 24672 MiB 2022/04/22 10:10:12.903, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7838 MiB, 24672 MiB 2022/04/22 10:10:12.903, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 63 %, 32510 MiB, 7838 MiB, 24672 MiB [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86747, top1: 0.00082, throughput: 1368.50 | 2022-04-22 10:10:49.973 [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86751, top1: 0.00080, throughput: 1368.49 | 2022-04-22 10:10:49.974 [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86761, top1: 0.00084, throughput: 1368.47 | 2022-04-22 10:10:49.974 [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86752, top1: 0.00068, throughput: 1368.43 | 2022-04-22 10:10:49.975 [rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86746, top1: 0.00098, throughput: 1368.46 | 2022-04-22 10:10:49.972 [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86743, top1: 0.00088, throughput: 1368.50 | 2022-04-22 10:10:49.974 [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86740, top1: 0.00102, throughput: 1368.35 | 2022-04-22 10:10:49.975 [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86730, top1: 0.00072, throughput: 1368.36 | 2022-04-22 10:10:49.975 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86761, top1: 0.00072, throughput: 1353.08 | 2022-04-22 10:11:27.815 [rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86743, top1: 0.00080, throughput: 1352.97[rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86721, top1: 0.00082, throughput: 1352.95 | 2022-04-22 10:11:27.816 | 2022-04-22 10:11:27.816 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86757, top1: 0.00074, throughput: 1352.97 | 2022-04-22 10:11:27.817 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86744, top1: 0.00094, throughput: 1352.99 | 2022-04-22 10:11:27.817 [rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86758, top1: 0.00102, throughput: 1353.04 | 2022-04-22 10:11:27.816 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86738, top1: 0.00098, throughput: 1352.86 | 2022-04-22 10:11:27.819 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86750, top1: 0.00088, throughput: 1352.91 | 2022-04-22 10:11:27.819