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: /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: 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 W20220410 22:48:21.377774 5309 rpc_client.cpp:190] LoadServer 10.7.202.19 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220410 22:48:21.380420 5311 rpc_client.cpp:190] LoadServer 10.7.202.19 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 .................................. 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: 2.75206 s ***** [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86761, top1: 0.00070, throughput: 271.72 | 2022-04-10 22:50:10.542 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86737, top1: 0.00090, throughput: 271.71 | 2022-04-10 22:50:10.541 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86763, top1: 0.00055, throughput: 271.73 | 2022-04-10 22:50:10.542 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86760, top1: 0.00074, throughput: 271.70 | 2022-04-10 22:50:10.547 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86721, top1: 0.00090, throughput: 271.72 | 2022-04-10 22:50:10.546 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86713, top1: 0.00066, throughput: 271.71 | 2022-04-10 22:50:10.549[rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86695, top1: 0.00117, throughput: 271.71 | 2022-04-10 22:50:10.547 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86740, top1: 0.00090, throughput: 271.70 | 2022-04-10 22:50:10.546 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] 2022/04/10 22:50:10.874, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 56 %, 32510 MiB, 8450 MiB, 24060 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/10 22:50:10.875, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 56 %, 32510 MiB, 8450 MiB, 24060 MiB 2022/04/10 22:50:10.877, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 56 %, 32510 MiB, 8450 MiB, 24060 MiB 2022/04/10 22:50:10.878, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 56 %, 32510 MiB, 8450 MiB, 24060 MiB 2022/04/10 22:50:10.881, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8430 MiB, 24080 MiB 2022/04/10 22:50:10.883, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8430 MiB, 24080 MiB 2022/04/10 22:50:10.883, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 56 %, 32510 MiB, 8450 MiB, 24060 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] 2022/04/10 22:50:10.885, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8430 MiB, 24080 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/10 22:50:10.887, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8430 MiB, 24080 MiB 2022/04/10 22:50:10.890, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8582 MiB, 23928 MiB 2022/04/10 22:50:10.891, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8582 MiB, 23928 MiB 2022/04/10 22:50:10.892, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8430 MiB, 24080 MiB 2022/04/10 22:50:10.896, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8582 MiB, 23928 MiB 2022/04/10 22:50:10.895, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8450 MiB, 24060 MiB 2022/04/10 22:50:10.896, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8450 MiB, 24060 MiB 2022/04/10 22:50:10.896, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8450 MiB, 24060 MiB 2022/04/10 22:50:10.898, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8582 MiB, 23928 MiB 2022/04/10 22:50:10.900, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8590 MiB, 23920 MiB 2022/04/10 22:50:10.907, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8590 MiB, 23920 MiB 2022/04/10 22:50:10.909, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8582 MiB, 23928 MiB 2022/04/10 22:50:10.911, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8590 MiB, 23920 MiB 2022/04/10 22:50:10.911, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8430 MiB, 24080 MiB 2022/04/10 22:50:10.912, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8430 MiB, 24080 MiB 2022/04/10 22:50:10.914, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 8430 MiB, 24080 MiB 2022/04/10 22:50:10.915, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8590 MiB, 23920 MiB 2022/04/10 22:50:10.918, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8580 MiB, 23930 MiB 2022/04/10 22:50:10.919, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8580 MiB, 23930 MiB 2022/04/10 22:50:10.920, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8590 MiB, 23920 MiB 2022/04/10 22:50:10.922, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8580 MiB, 23930 MiB 2022/04/10 22:50:10.922, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8582 MiB, 23928 MiB 2022/04/10 22:50:10.923, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8582 MiB, 23928 MiB 2022/04/10 22:50:10.924, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8582 MiB, 23928 MiB 2022/04/10 22:50:10.924, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8580 MiB, 23930 MiB 2022/04/10 22:50:10.928, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8446 MiB, 24064 MiB 2022/04/10 22:50:10.930, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8446 MiB, 24064 MiB 2022/04/10 22:50:10.931, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8580 MiB, 23930 MiB 2022/04/10 22:50:10.933, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8446 MiB, 24064 MiB 2022/04/10 22:50:10.933, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8590 MiB, 23920 MiB 2022/04/10 22:50:10.934, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8590 MiB, 23920 MiB 2022/04/10 22:50:10.935, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8590 MiB, 23920 MiB 2022/04/10 22:50:10.935, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8446 MiB, 24064 MiB 2022/04/10 22:50:10.938, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8282 MiB, 24228 MiB 2022/04/10 22:50:10.939, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8282 MiB, 24228 MiB 2022/04/10 22:50:10.940, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8446 MiB, 24064 MiB 2022/04/10 22:50:10.942, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8282 MiB, 24228 MiB 2022/04/10 22:50:10.942, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8580 MiB, 23930 MiB 2022/04/10 22:50:10.943, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8580 MiB, 23930 MiB 2022/04/10 22:50:10.944, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8580 MiB, 23930 MiB 2022/04/10 22:50:10.944, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8282 MiB, 24228 MiB 2022/04/10 22:50:10.947, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8438 MiB, 24072 MiB 2022/04/10 22:50:10.949, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8438 MiB, 24072 MiB 2022/04/10 22:50:10.949, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8282 MiB, 24228 MiB 2022/04/10 22:50:10.951, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8438 MiB, 24072 MiB 2022/04/10 22:50:10.951, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8446 MiB, 24064 MiB 2022/04/10 22:50:10.952, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8446 MiB, 24064 MiB 2022/04/10 22:50:10.953, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 59 %, 32510 MiB, 8446 MiB, 24064 MiB 2022/04/10 22:50:10.953, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8438 MiB, 24072 MiB 2022/04/10 22:50:10.958, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8438 MiB, 24072 MiB 2022/04/10 22:50:10.960, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8282 MiB, 24228 MiB 2022/04/10 22:50:10.961, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8282 MiB, 24228 MiB 2022/04/10 22:50:10.962, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8282 MiB, 24228 MiB 2022/04/10 22:50:10.969, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8438 MiB, 24072 MiB 2022/04/10 22:50:10.970, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8438 MiB, 24072 MiB 2022/04/10 22:50:10.970, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8438 MiB, 24072 MiB [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86748, top1: 0.00051, throughput: 389.87 | 2022-04-10 22:51:16.205 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86744, top1: 0.00055, throughput: 389.86 | 2022-04-10 22:51:16.205 [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86772, top1: 0.00074, throughput: 389.87 | 2022-04-10 22:51:16.209 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86707, top1: 0.00094, throughput: 389.87 | 2022-04-10 22:51:16.209 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86760, top1: 0.00066, throughput: 389.87 | 2022-04-10 22:51:16.210 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86729, top1: 0.00090, throughput: 389.88 | 2022-04-10 22:51:16.210 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86738, top1: 0.00105, throughput: 389.86 | 2022-04-10 22:51:16.207 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86742, top1: 0.00094, throughput: 389.87 | 2022-04-10 22:51:16.209 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86721, top1: 0.00094, throughput: 388.60 | 2022-04-10 22:52:22.083 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86728, top1: 0.00086, throughput: 388.60 | 2022-04-10 22:52:22.087 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86738, top1: 0.00051, throughput: 388.61 | 2022-04-10 22:52:22.086 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86737, top1: 0.00082, throughput: 388.60 | 2022-04-10 22:52:22.082 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86743, top1: 0.00102, throughput: 388.61 | 2022-04-10 22:52:22.083 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86732, top1: 0.00055, throughput: 388.60 | 2022-04-10 22:52:22.086 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86756, top1: 0.00055, throughput: 388.60 | 2022-04-10 22:52:22.087 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86756, top1: 0.00102, throughput: 388.60 | 2022-04-10 22:52:22.088