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: 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/usr/lib/x86_64-linux-gnu/libibverbs.so.1 /usr/lib/x86_64-linux-gnu/libibverbs.so.1 W20220428 10:43:47.836469 6895 rpc_client.cpp:190] LoadServer 10.7.252.45 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220428 10:43:47.836426 6896 rpc_client.cpp:190] LoadServer 10.7.252.45 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220428 10:43:47.837432 6898 rpc_client.cpp:190] LoadServer 10.7.252.45 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220428 10:43:47.837234 6892 rpc_client.cpp:190] LoadServer 10.7.252.45 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220428 10:43:47.837421 6897 rpc_client.cpp:190] LoadServer 10.7.252.45 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220428 10:43:47.837257 6894 rpc_client.cpp:190] LoadServer 10.7.252.45 Failed at 0 times error_code 14 error_message failed to connect to all addresses ------------------------ arguments ------------------------ batches_per_epoch ............................... 625 channel_last .................................... False ddp ............................................. True exit_num ........................................ 300 fuse_bn_add_relu ................................ False fuse_bn_relu .................................... False gpu_stat_file ................................... None grad_clipping ................................... 0.0 graph ........................................... False 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 ...................................... False 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: 2.85371 s ***** [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86769, lr: 0.000000, top1: 0.00090, throughput: 276.46 | 2022-04-28 10:45:35.621 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86730, lr: 0.000000, top1: 0.00141, throughput: 276.42 | 2022-04-28 10:45:35.627 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86738, lr: 0.000000, top1: 0.00090, throughput: 276.43 | 2022-04-28 10:45:35.628 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86736, lr: 0.000000, top1: 0.00082, throughput: 276.28 | 2022-04-28 10:45:35.668 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86720, lr: 0.000000, top1: 0.00113, throughput: 276.18 | 2022-04-28 10:45:35.690 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86704, lr: 0.000000, top1: 0.00129, throughput: 276.22 | 2022-04-28 10:45:35.698 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86740, lr: 0.000000, top1: 0.00105, throughput: 276.25 | 2022-04-28 10:45:35.706 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86745, lr: 0.000000, top1: 0.00070, throughput: 276.16 | 2022-04-28 10:45:35.738 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] 2022/04/28 10:45:35.768, Tesla V100-SXM2-32GB, 470.57.02, 23 %, 16 %, 32510 MiB, 5096 MiB, 27414 MiB 2022/04/28 10:45:35.769, Tesla V100-SXM2-32GB, 470.57.02, 23 %, 16 %, 32510 MiB, 5096 MiB, 27414 MiB 2022/04/28 10:45:35.773, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 3 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/28 10:45:35.774, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 3 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/28 10:45:35.778, Tesla V100-SXM2-32GB, 470.57.02, 60 %, 45 %, 32510 MiB, 5192 MiB, 27318 MiB 2022/04/28 10:45:35.779, Tesla V100-SXM2-32GB, 470.57.02, 60 %, 45 %, 32510 MiB, 5192 MiB, 27318 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/28 10:45:35.782, Tesla V100-SXM2-32GB, 470.57.02, 25 %, 17 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/28 10:45:35.783, Tesla V100-SXM2-32GB, 470.57.02, 25 %, 17 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/28 10:45:35.785, Tesla V100-SXM2-32GB, 470.57.02, 23 %, 16 %, 32510 MiB, 5096 MiB, 27414 MiB 2022/04/28 10:45:35.787, Tesla V100-SXM2-32GB, 470.57.02, 69 %, 1 %, 32510 MiB, 5176 MiB, 27334 MiB 2022/04/28 10:45:35.788, Tesla V100-SXM2-32GB, 470.57.02, 69 %, 1 %, 32510 MiB, 5176 MiB, 27334 MiB 2022/04/28 10:45:35.791, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 3 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/28 10:45:35.794, Tesla V100-SXM2-32GB, 470.57.02, 17 %, 13 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/28 10:45:35.795, Tesla V100-SXM2-32GB, 470.57.02, 17 %, 13 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/28 10:45:35.798, Tesla V100-SXM2-32GB, 470.57.02, 52 %, 21 %, 32510 MiB, 5192 MiB, 27318 MiB 2022/04/28 10:45:35.799, Tesla V100-SXM2-32GB, 470.57.02, 79 %, 8 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/28 10:45:35.800, Tesla V100-SXM2-32GB, 470.57.02, 79 %, 8 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/28 10:45:35.803, Tesla V100-SXM2-32GB, 470.57.02, 25 %, 17 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/28 10:45:35.805, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 0 %, 32510 MiB, 5132 MiB, 27378 MiB 2022/04/28 10:45:35.806, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 0 %, 32510 MiB, 5132 MiB, 27378 MiB 2022/04/28 10:45:35.809, Tesla V100-SXM2-32GB, 470.57.02, 69 %, 1 %, 32510 MiB, 5176 MiB, 27334 MiB 2022/04/28 10:45:35.815, Tesla V100-SXM2-32GB, 470.57.02, 17 %, 13 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/28 10:45:35.820, Tesla V100-SXM2-32GB, 470.57.02, 79 %, 8 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/28 10:45:35.824, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 0 %, 32510 MiB, 5132 MiB, 27378 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/28 10:45:35.881, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 60 %, 32510 MiB, 5096 MiB, 27414 MiB 2022/04/28 10:45:35.900, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 3 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/28 10:45:35.932, Tesla V100-SXM2-32GB, 470.57.02, 52 %, 21 %, 32510 MiB, 5192 MiB, 27318 MiB 2022/04/28 10:45:35.936, Tesla V100-SXM2-32GB, 470.57.02, 70 %, 39 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/28 10:45:35.960, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 84 %, 32510 MiB, 5176 MiB, 27334 MiB 2022/04/28 10:45:36.000, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5108 MiB, 27402 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/28 10:45:36.039, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/28 10:45:36.046, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 73 %, 32510 MiB, 5096 MiB, 27414 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/28 10:45:36.049, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 73 %, 32510 MiB, 5132 MiB, 27378 MiB 2022/04/28 10:45:36.051, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 90 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/28 10:45:36.051, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 73 %, 32510 MiB, 5096 MiB, 27414 MiB 2022/04/28 10:45:36.067, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5192 MiB, 27318 MiB 2022/04/28 10:45:36.069, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 90 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/28 10:45:36.087, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 79 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/28 10:45:36.088, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5192 MiB, 27318 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/28 10:45:36.094, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 54 %, 32510 MiB, 5176 MiB, 27334 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/28 10:45:36.095, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 79 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/28 10:45:36.099, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 73 %, 32510 MiB, 5096 MiB, 27414 MiB 2022/04/28 10:45:36.105, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/28 10:45:36.105, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 73 %, 32510 MiB, 5096 MiB, 27414 MiB 2022/04/28 10:45:36.106, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 54 %, 32510 MiB, 5176 MiB, 27334 MiB 2022/04/28 10:45:36.125, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/28 10:45:36.127, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 53 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/28 10:45:36.127, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/28 10:45:36.133, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/28 10:45:36.136, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 48 %, 32510 MiB, 5192 MiB, 27318 MiB 2022/04/28 10:45:36.137, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 5132 MiB, 27378 MiB 2022/04/28 10:45:36.138, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 48 %, 32510 MiB, 5192 MiB, 27318 MiB 2022/04/28 10:45:36.138, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 53 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/28 10:45:36.141, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 79 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/28 10:45:36.144, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 79 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/28 10:45:36.144, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 5132 MiB, 27378 MiB 2022/04/28 10:45:36.147, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 54 %, 32510 MiB, 5176 MiB, 27334 MiB 2022/04/28 10:45:36.149, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 54 %, 32510 MiB, 5176 MiB, 27334 MiB 2022/04/28 10:45:36.152, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/28 10:45:36.153, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/28 10:45:36.156, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 53 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/28 10:45:36.157, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 53 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/28 10:45:36.163, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 5132 MiB, 27378 MiB 2022/04/28 10:45:36.165, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 5132 MiB, 27378 MiB [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86760, lr: 0.000000, top1: 0.00133, throughput: 293.92 | 2022-04-28 10:47:02.727 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86740, lr: 0.000000, top1: 0.00109, throughput: 294.02 | 2022-04-28 10:47:02.738 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86738, lr: 0.000000, top1: 0.00141, throughput: 294.09 | 2022-04-28 10:47:02.740 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86722, lr: 0.000000, top1: 0.00082, throughput: 293.87 | 2022-04-28 10:47:02.741 [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86722, lr: 0.000000, top1: 0.00102, throughput: 293.97 | 2022-04-28 10:47:02.783 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86715, lr: 0.000000, top1: 0.00102, throughput: 293.69 | 2022-04-28 10:47:02.788 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86751, lr: 0.000000, top1: 0.00105, throughput: 293.79 | 2022-04-28 10:47:02.841 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86744, lr: 0.000000, top1: 0.00098, throughput: 293.78 | 2022-04-28 10:47:02.877 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86677, lr: 0.000000, top1: 0.00074, throughput: 295.16 | 2022-04-28 10:48:29.473 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86716, lr: 0.000000, top1: 0.00137, throughput: 295.56 | 2022-04-28 10:48:29.493 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86709, lr: 0.000000, top1: 0.00105, throughput: 295.23 | 2022-04-28 10:48:29.496 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86720, lr: 0.000000, top1: 0.00109, throughput: 295.03 | 2022-04-28 10:48:29.511 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86738, lr: 0.000000, top1: 0.00117, throughput: 294.98 | 2022-04-28 10:48:29.513 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86720, lr: 0.000000, top1: 0.00129, throughput: 295.37 | 2022-04-28 10:48:29.513 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86746, lr: 0.000000, top1: 0.00109, throughput: 295.09 | 2022-04-28 10:48:29.540 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86704, lr: 0.000000, top1: 0.00074, throughput: 294.90 | 2022-04-28 10:48:29.547