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: /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 loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 loaded library: /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: 2.77212 s ***** [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86755, lr: 0.000000, top1: 0.00121, throughput: 274.48 | 2022-04-14 02:16:41.757 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86782, lr: 0.000000, top1: 0.00113, throughput: 274.39 | 2022-04-14 02:16:41.761 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86776, lr: 0.000000, top1: 0.00098, throughput: 274.37 | 2022-04-14 02:16:41.783 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86783, lr: 0.000000, top1: 0.00137, throughput: 274.34 | 2022-04-14 02:16:41.787 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86748, lr: 0.000000, top1: 0.00117, throughput: 274.29 | 2022-04-14 02:16:41.789 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86772, lr: 0.000000, top1: 0.00082, throughput: 274.31 | 2022-04-14 02:16:41.809 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86771, lr: 0.000000, top1: 0.00109, throughput: 274.24 | 2022-04-14 02:16:41.810 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86778, lr: 0.000000, top1: 0.00105, throughput: 274.14 | 2022-04-14 02:16:41.844 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] 2022/04/14 02:16:41.935, Tesla V100-SXM2-32GB, 470.57.02, 10 %, 2 %, 32510 MiB, 5134 MiB, 27376 MiB 2022/04/14 02:16:41.939, Tesla V100-SXM2-32GB, 470.57.02, 10 %, 2 %, 32510 MiB, 5134 MiB, 27376 MiB 2022/04/14 02:16:41.941, Tesla V100-SXM2-32GB, 470.57.02, 92 %, 44 %, 32510 MiB, 5154 MiB, 27356 MiB 2022/04/14 02:16:41.945, Tesla V100-SXM2-32GB, 470.57.02, 92 %, 44 %, 32510 MiB, 5154 MiB, 27356 MiB 2022/04/14 02:16:41.946, Tesla V100-SXM2-32GB, 470.57.02, 27 %, 0 %, 32510 MiB, 5230 MiB, 27280 MiB 2022/04/14 02:16:41.950, Tesla V100-SXM2-32GB, 470.57.02, 27 %, 0 %, 32510 MiB, 5230 MiB, 27280 MiB 2022/04/14 02:16:41.952, Tesla V100-SXM2-32GB, 470.57.02, 61 %, 23 %, 32510 MiB, 5206 MiB, 27304 MiB 2022/04/14 02:16:41.957, Tesla V100-SXM2-32GB, 470.57.02, 61 %, 23 %, 32510 MiB, 5206 MiB, 27304 MiB 2022/04/14 02:16:41.958, Tesla V100-SXM2-32GB, 470.57.02, 49 %, 28 %, 32510 MiB, 5214 MiB, 27296 MiB 2022/04/14 02:16:41.962, Tesla V100-SXM2-32GB, 470.57.02, 49 %, 28 %, 32510 MiB, 5214 MiB, 27296 MiB 2022/04/14 02:16:41.964, Tesla V100-SXM2-32GB, 470.57.02, 52 %, 29 %, 32510 MiB, 5146 MiB, 27364 MiB 2022/04/14 02:16:41.968, Tesla V100-SXM2-32GB, 470.57.02, 52 %, 29 %, 32510 MiB, 5146 MiB, 27364 MiB 2022/04/14 02:16:41.969, Tesla V100-SXM2-32GB, 470.57.02, 69 %, 20 %, 32510 MiB, 5090 MiB, 27420 MiB 2022/04/14 02:16:41.974, Tesla V100-SXM2-32GB, 470.57.02, 69 %, 20 %, 32510 MiB, 5090 MiB, 27420 MiB 2022/04/14 02:16:41.976, Tesla V100-SXM2-32GB, 470.57.02, 54 %, 24 %, 32510 MiB, 5170 MiB, 27340 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/14 02:16:41.980, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 46 %, 32510 MiB, 5170 MiB, 27340 MiB 2022/04/14 02:16:41.983, Tesla V100-SXM2-32GB, 470.57.02, 10 %, 2 %, 32510 MiB, 5134 MiB, 27376 MiB 2022/04/14 02:16:41.998, Tesla V100-SXM2-32GB, 470.57.02, 92 %, 43 %, 32510 MiB, 5154 MiB, 27356 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/14 02:16:42.012, Tesla V100-SXM2-32GB, 470.57.02, 27 %, 0 %, 32510 MiB, 5230 MiB, 27280 MiB 2022/04/14 02:16:42.013, Tesla V100-SXM2-32GB, 470.57.02, 10 %, 2 %, 32510 MiB, 5134 MiB, 27376 MiB 2022/04/14 02:16:42.024, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 83 %, 32510 MiB, 5206 MiB, 27304 MiB 2022/04/14 02:16:42.034, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 75 %, 32510 MiB, 5154 MiB, 27356 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/14 02:16:42.098, Tesla V100-SXM2-32GB, 470.57.02, 79 %, 45 %, 32510 MiB, 5214 MiB, 27296 MiB 2022/04/14 02:16:42.111, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 86 %, 32510 MiB, 5230 MiB, 27280 MiB 2022/04/14 02:16:42.116, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 70 %, 32510 MiB, 5134 MiB, 27376 MiB 2022/04/14 02:16:42.131, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 82 %, 32510 MiB, 5146 MiB, 27364 MiB 2022/04/14 02:16:42.132, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 83 %, 32510 MiB, 5206 MiB, 27304 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/14 02:16:42.134, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 75 %, 32510 MiB, 5154 MiB, 27356 MiB 2022/04/14 02:16:42.146, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 5090 MiB, 27420 MiB 2022/04/14 02:16:42.152, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5214 MiB, 27296 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/14 02:16:42.153, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 70 %, 32510 MiB, 5134 MiB, 27376 MiB 2022/04/14 02:16:42.176, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 86 %, 32510 MiB, 5230 MiB, 27280 MiB 2022/04/14 02:16:42.179, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5170 MiB, 27340 MiB 2022/04/14 02:16:42.184, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 82 %, 32510 MiB, 5146 MiB, 27364 MiB 2022/04/14 02:16:42.191, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 75 %, 32510 MiB, 5154 MiB, 27356 MiB 2022/04/14 02:16:42.189, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 70 %, 32510 MiB, 5134 MiB, 27376 MiB 2022/04/14 02:16:42.192, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 83 %, 32510 MiB, 5206 MiB, 27304 MiB 2022/04/14 02:16:42.198, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 5090 MiB, 27420 MiB 2022/04/14 02:16:42.200, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 86 %, 32510 MiB, 5230 MiB, 27280 MiB 2022/04/14 02:16:42.202, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 75 %, 32510 MiB, 5154 MiB, 27356 MiB 2022/04/14 02:16:42.203, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5214 MiB, 27296 MiB 2022/04/14 02:16:42.218, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5170 MiB, 27340 MiB 2022/04/14 02:16:42.219, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 83 %, 32510 MiB, 5206 MiB, 27304 MiB 2022/04/14 02:16:42.219, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 5230 MiB, 27280 MiB 2022/04/14 02:16:42.219, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 82 %, 32510 MiB, 5146 MiB, 27364 MiB 2022/04/14 02:16:42.231, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5214 MiB, 27296 MiB 2022/04/14 02:16:42.232, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 83 %, 32510 MiB, 5206 MiB, 27304 MiB 2022/04/14 02:16:42.232, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 5090 MiB, 27420 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/14 02:16:42.238, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 82 %, 32510 MiB, 5146 MiB, 27364 MiB 2022/04/14 02:16:42.239, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5214 MiB, 27296 MiB 2022/04/14 02:16:42.239, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5170 MiB, 27340 MiB 2022/04/14 02:16:42.247, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 66 %, 32510 MiB, 5134 MiB, 27376 MiB 2022/04/14 02:16:42.249, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 5090 MiB, 27420 MiB 2022/04/14 02:16:42.251, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 5146 MiB, 27364 MiB 2022/04/14 02:16:42.263, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 5154 MiB, 27356 MiB 2022/04/14 02:16:42.268, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5170 MiB, 27340 MiB 2022/04/14 02:16:42.268, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 5090 MiB, 27420 MiB 2022/04/14 02:16:42.277, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 5230 MiB, 27280 MiB 2022/04/14 02:16:42.279, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5170 MiB, 27340 MiB 2022/04/14 02:16:42.281, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 48 %, 32510 MiB, 5206 MiB, 27304 MiB 2022/04/14 02:16:42.285, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5214 MiB, 27296 MiB 2022/04/14 02:16:42.293, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 5146 MiB, 27364 MiB 2022/04/14 02:16:42.297, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 5090 MiB, 27420 MiB 2022/04/14 02:16:42.302, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5170 MiB, 27340 MiB [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86765, lr: 0.000000, top1: 0.00121, throughput: 296.43 | 2022-04-14 02:18:08.118 [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86771, lr: 0.000000, top1: 0.00109, throughput: 296.61 | 2022-04-14 02:18:08.119 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86751, lr: 0.000000, top1: 0.00082, throughput: 296.44 | 2022-04-14 02:18:08.120 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86765, lr: 0.000000, top1: 0.00082, throughput: 296.50 | 2022-04-14 02:18:08.129 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86759, lr: 0.000000, top1: 0.00121, throughput: 296.65 | 2022-04-14 02:18:08.139 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86801, lr: 0.000000, top1: 0.00191, throughput: 296.39 | 2022-04-14 02:18:08.155 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86740, lr: 0.000000, top1: 0.00145, throughput: 296.40 | 2022-04-14 02:18:08.155 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86762, lr: 0.000000, top1: 0.00117, throughput: 296.44 | 2022-04-14 02:18:08.170 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86774, lr: 0.000000, top1: 0.00148, throughput: 296.86 | 2022-04-14 02:19:34.364 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86756, lr: 0.000000, top1: 0.00133, throughput: 296.89 | 2022-04-14 02:19:34.368 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86728, lr: 0.000000, top1: 0.00113, throughput: 296.78 | 2022-04-14 02:19:34.377 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86765, lr: 0.000000, top1: 0.00145, throughput: 296.75 | 2022-04-14 02:19:34.386 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86760, lr: 0.000000, top1: 0.00098, throughput: 296.68 | 2022-04-14 02:19:34.410 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86759, lr: 0.000000, top1: 0.00102, throughput: 296.76 | 2022-04-14 02:19:34.420 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86736, lr: 0.000000, top1: 0.00156, throughput: 296.79 | 2022-04-14 02:19:34.425 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86780, lr: 0.000000, top1: 0.00137, throughput: 296.73 | 2022-04-14 02:19:34.429