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: /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 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 ------------------------ 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: 2.82794 s ***** [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86745, lr: 0.000000, top1: 0.00082, throughput: 276.38 | 2022-04-26 10:34:05.505 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86755, lr: 0.000000, top1: 0.00102, throughput: 276.38 | 2022-04-26 10:34:05.509 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86752, lr: 0.000000, top1: 0.00090, throughput: 276.20 | 2022-04-26 10:34:05.537 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86769, lr: 0.000000, top1: 0.00082, throughput: 276.29 | 2022-04-26 10:34:05.534 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86759, lr: 0.000000, top1: 0.00062, throughput: 276.21 | 2022-04-26 10:34:05.546 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86729, lr: 0.000000, top1: 0.00086, throughput: 276.39 | 2022-04-26 10:34:05.550 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86731, lr: 0.000000, top1: 0.00082, throughput: 276.19 | 2022-04-26 10:34:05.577 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86770, lr: 0.000000, top1: 0.00074, throughput: 276.12 | 2022-04-26 10:34:05.577 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/26 10:34:05.986, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 75 %, 32510 MiB, 5096 MiB, 27414 MiB 2022/04/26 10:34:06.002, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/26 10:34:06.017, 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] 2022/04/26 10:34:06.024, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 73 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/26 10:34:06.024, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 5096 MiB, 27414 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] 2022/04/26 10:34:06.048, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 5176 MiB, 27334 MiB 2022/04/26 10:34:06.050, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/26 10:34:06.051, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 5096 MiB, 27414 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/26 10:34:06.054, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 5096 MiB, 27414 MiB 2022/04/26 10:34:06.056, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/26 10:34:06.058, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 51 %, 32510 MiB, 5192 MiB, 27318 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/26 10:34:06.060, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/26 10:34:06.060, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 5096 MiB, 27414 MiB 2022/04/26 10:34:06.063, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 5116 MiB, 27394 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/26 10:34:06.064, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 50 %, 32510 MiB, 5052 MiB, 27458 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/26 10:34:06.066, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 73 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/26 10:34:06.067, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 51 %, 32510 MiB, 5192 MiB, 27318 MiB 2022/04/26 10:34:06.067, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 5096 MiB, 27414 MiB 2022/04/26 10:34:06.068, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/26 10:34:06.070, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 51 %, 32510 MiB, 5192 MiB, 27318 MiB 2022/04/26 10:34:06.072, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 51 %, 32510 MiB, 5132 MiB, 27378 MiB 2022/04/26 10:34:06.071, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 5096 MiB, 27414 MiB 2022/04/26 10:34:06.076, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 5176 MiB, 27334 MiB 2022/04/26 10:34:06.075, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 5096 MiB, 27414 MiB 2022/04/26 10:34:06.078, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 47 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/26 10:34:06.079, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 42 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/26 10:34:06.079, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 51 %, 32510 MiB, 5192 MiB, 27318 MiB 2022/04/26 10:34:06.090, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 47 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/26 10:34:06.095, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 42 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/26 10:34:06.096, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/26 10:34:06.097, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 42 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/26 10:34:06.099, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 5176 MiB, 27334 MiB 2022/04/26 10:34:06.099, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 51 %, 32510 MiB, 5192 MiB, 27318 MiB 2022/04/26 10:34:06.100, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 47 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/26 10:34:06.103, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 5176 MiB, 27334 MiB 2022/04/26 10:34:06.105, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 51 %, 32510 MiB, 5192 MiB, 27318 MiB 2022/04/26 10:34:06.106, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 50 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/26 10:34:06.107, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 51 %, 32510 MiB, 5192 MiB, 27318 MiB 2022/04/26 10:34:06.108, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/26 10:34:06.109, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 47 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/26 10:34:06.109, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 5176 MiB, 27334 MiB 2022/04/26 10:34:06.115, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/26 10:34:06.117, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 47 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/26 10:34:06.119, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 51 %, 32510 MiB, 5132 MiB, 27378 MiB 2022/04/26 10:34:06.120, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 47 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/26 10:34:06.123, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 50 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/26 10:34:06.123, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 5176 MiB, 27334 MiB 2022/04/26 10:34:06.124, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/26 10:34:06.127, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 50 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/26 10:34:06.128, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 5176 MiB, 27334 MiB 2022/04/26 10:34:06.130, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 5176 MiB, 27334 MiB 2022/04/26 10:34:06.131, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 51 %, 32510 MiB, 5132 MiB, 27378 MiB 2022/04/26 10:34:06.132, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/26 10:34:06.135, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 50 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/26 10:34:06.142, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 51 %, 32510 MiB, 5132 MiB, 27378 MiB 2022/04/26 10:34:06.144, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/26 10:34:06.145, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/26 10:34:06.152, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 50 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/26 10:34:06.155, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 51 %, 32510 MiB, 5132 MiB, 27378 MiB 2022/04/26 10:34:06.159, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 50 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/26 10:34:06.161, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 50 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/26 10:34:06.163, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 51 %, 32510 MiB, 5132 MiB, 27378 MiB 2022/04/26 10:34:06.167, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 51 %, 32510 MiB, 5132 MiB, 27378 MiB 2022/04/26 10:34:06.169, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 51 %, 32510 MiB, 5132 MiB, 27378 MiB [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86735, lr: 0.000000, top1: 0.00082, throughput: 296.45 | 2022-04-26 10:35:31.864 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86732, lr: 0.000000, top1: 0.00105, throughput: 296.40 | 2022-04-26 10:35:31.903 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86743, lr: 0.000000, top1: 0.00090, throughput: 296.42 | 2022-04-26 10:35:31.914 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86746, lr: 0.000000, top1: 0.00086, throughput: 296.39 | 2022-04-26 10:35:31.919 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86738, lr: 0.000000, top1: 0.00098, throughput: 296.47 | 2022-04-26 10:35:31.928 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86739, lr: 0.000000, top1: 0.00078, throughput: 296.62 | 2022-04-26 10:35:31.842 [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86759, lr: 0.000000, top1: 0.00078, throughput: 296.45 | 2022-04-26 10:35:31.930 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86710, lr: 0.000000, top1: 0.00113, throughput: 296.10 | 2022-04-26 10:35:31.963 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86764, lr: 0.000000, top1: 0.00078, throughput: 297.16 | 2022-04-26 10:36:58.112 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86747, lr: 0.000000, top1: 0.00051, throughput: 296.93 | 2022-04-26 10:36:58.130 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86724, lr: 0.000000, top1: 0.00102, throughput: 296.60 | 2022-04-26 10:36:58.155 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86739, lr: 0.000000, top1: 0.00090, throughput: 296.74 | 2022-04-26 10:36:58.174 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86752, lr: 0.000000, top1: 0.00074, throughput: 296.60 | 2022-04-26 10:36:58.175 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86747, lr: 0.000000, top1: 0.00098, throughput: 296.77 | 2022-04-26 10:36:58.182 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86749, lr: 0.000000, top1: 0.00090, throughput: 296.80 | 2022-04-26 10:36:58.183 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86778, lr: 0.000000, top1: 0.00102, throughput: 296.68 | 2022-04-26 10:36:58.216