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: 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 ------------------------ 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: 3.06709 s ***** [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86719, top1: 0.00062, throughput: 275.00 | 2022-05-13 10:12:25.003 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86716, top1: 0.00062, throughput: 275.00 | 2022-05-13 10:12:25.005 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86736, top1: 0.00066, throughput: 275.00 | 2022-05-13 10:12:25.003 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86732, top1: 0.00070, throughput: 275.01 | 2022-05-13 10:12:25.004 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86747, top1: 0.00070, throughput: 275.00 | 2022-05-13 10:12:25.003 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86719, top1: 0.00062, throughput: 275.02 | 2022-05-13 10:12:25.003 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86705, top1: 0.00059, throughput: 275.00 | 2022-05-13 10:12:25.005 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86743, top1: 0.00059, throughput: 274.99 | 2022-05-13 10:12:25.005 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] 2022/05/13 10:12:25.321, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8460 MiB, 24050 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] 2022/05/13 10:12:25.328, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8534 MiB, 23976 MiB 2022/05/13 10:12:25.327, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8460 MiB, 24050 MiB 2022/05/13 10:12:25.329, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8460 MiB, 24050 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] 2022/05/13 10:12:25.332, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8460 MiB, 24050 MiB 2022/05/13 10:12:25.336, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8578 MiB, 23932 MiB 2022/05/13 10:12:25.337, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8534 MiB, 23976 MiB 2022/05/13 10:12:25.339, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8534 MiB, 23976 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/13 10:12:25.339, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8460 MiB, 24050 MiB 2022/05/13 10:12:25.340, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8460 MiB, 24050 MiB 2022/05/13 10:12:25.341, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8534 MiB, 23976 MiB 2022/05/13 10:12:25.341, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8460 MiB, 24050 MiB 2022/05/13 10:12:25.344, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8544 MiB, 23966 MiB 2022/05/13 10:12:25.345, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8578 MiB, 23932 MiB 2022/05/13 10:12:25.346, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8578 MiB, 23932 MiB 2022/05/13 10:12:25.347, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8534 MiB, 23976 MiB 2022/05/13 10:12:25.347, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8460 MiB, 24050 MiB 2022/05/13 10:12:25.348, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8534 MiB, 23976 MiB 2022/05/13 10:12:25.349, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8578 MiB, 23932 MiB 2022/05/13 10:12:25.349, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8534 MiB, 23976 MiB 2022/05/13 10:12:25.354, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8526 MiB, 23984 MiB 2022/05/13 10:12:25.355, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8544 MiB, 23966 MiB 2022/05/13 10:12:25.357, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8544 MiB, 23966 MiB 2022/05/13 10:12:25.358, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8578 MiB, 23932 MiB 2022/05/13 10:12:25.358, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8534 MiB, 23976 MiB 2022/05/13 10:12:25.359, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8578 MiB, 23932 MiB 2022/05/13 10:12:25.360, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8544 MiB, 23966 MiB 2022/05/13 10:12:25.360, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8578 MiB, 23932 MiB 2022/05/13 10:12:25.364, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8496 MiB, 24014 MiB 2022/05/13 10:12:25.364, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8526 MiB, 23984 MiB 2022/05/13 10:12:25.366, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8526 MiB, 23984 MiB 2022/05/13 10:12:25.367, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8544 MiB, 23966 MiB 2022/05/13 10:12:25.367, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8578 MiB, 23932 MiB 2022/05/13 10:12:25.368, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8544 MiB, 23966 MiB 2022/05/13 10:12:25.369, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8526 MiB, 23984 MiB 2022/05/13 10:12:25.369, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8544 MiB, 23966 MiB 2022/05/13 10:12:25.375, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8362 MiB, 24148 MiB 2022/05/13 10:12:25.375, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8496 MiB, 24014 MiB 2022/05/13 10:12:25.377, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8496 MiB, 24014 MiB 2022/05/13 10:12:25.378, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8526 MiB, 23984 MiB 2022/05/13 10:12:25.378, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8544 MiB, 23966 MiB 2022/05/13 10:12:25.379, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8526 MiB, 23984 MiB 2022/05/13 10:12:25.379, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8496 MiB, 24014 MiB 2022/05/13 10:12:25.380, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8526 MiB, 23984 MiB 2022/05/13 10:12:25.388, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8542 MiB, 23968 MiB 2022/05/13 10:12:25.389, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8362 MiB, 24148 MiB 2022/05/13 10:12:25.392, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8362 MiB, 24148 MiB 2022/05/13 10:12:25.394, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8496 MiB, 24014 MiB 2022/05/13 10:12:25.394, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8526 MiB, 23984 MiB 2022/05/13 10:12:25.395, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8496 MiB, 24014 MiB 2022/05/13 10:12:25.395, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8362 MiB, 24148 MiB 2022/05/13 10:12:25.396, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8496 MiB, 24014 MiB 2022/05/13 10:12:25.400, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8542 MiB, 23968 MiB 2022/05/13 10:12:25.401, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8542 MiB, 23968 MiB 2022/05/13 10:12:25.403, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8362 MiB, 24148 MiB 2022/05/13 10:12:25.403, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8496 MiB, 24014 MiB 2022/05/13 10:12:25.404, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8362 MiB, 24148 MiB 2022/05/13 10:12:25.404, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8542 MiB, 23968 MiB 2022/05/13 10:12:25.405, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8362 MiB, 24148 MiB 2022/05/13 10:12:25.411, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8542 MiB, 23968 MiB 2022/05/13 10:12:25.412, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8362 MiB, 24148 MiB 2022/05/13 10:12:25.413, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8542 MiB, 23968 MiB 2022/05/13 10:12:25.413, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8542 MiB, 23968 MiB 2022/05/13 10:12:25.420, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8542 MiB, 23968 MiB [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86705, top1: 0.00070, throughput: 379.64 | 2022-05-13 10:13:32.437 [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86757, top1: 0.00078, throughput: 379.63 | 2022-05-13 10:13:32.437 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86768, top1: 0.00074, throughput: 379.63[rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86716, top1: 0.00070, throughput: 379.63 | 2022-05-13 10:13:32.437| 2022-05-13 10:13:32.437 [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86720, top1: 0.00051, throughput: 379.63 | 2022-05-13 10:13:32.438 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86733, top1: 0.00074, throughput: 379.63 | 2022-05-13 10:13:32.438 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86721, top1: 0.00098, throughput: 379.62 | 2022-05-13 10:13:32.440 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86733, top1: 0.00082, throughput: 379.62 | 2022-05-13 10:13:32.441 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86736, top1: 0.00082, throughput: 378.00 | 2022-05-13 10:14:40.163 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86752, top1: 0.00082, throughput: 377.99 | 2022-05-13 10:14:40.164 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86752, top1: 0.00043, throughput: 377.99 | 2022-05-13 10:14:40.164 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86728, top1: 0.00078, throughput: 377.98 | 2022-05-13 10:14:40.165 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86743, top1: 0.00055, throughput: 377.99 | 2022-05-13 10:14:40.164 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86732, top1: 0.00055, throughput: 377.99 | 2022-05-13 10:14:40.166 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86705, top1: 0.00074, throughput: 377.99 | 2022-05-13 10:14:40.165 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86717, top1: 0.00082, throughput: 377.98 | 2022-05-13 10:14:40.169