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: 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 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: 2.99164 s ***** [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86752, lr: 0.000000, top1: 0.00109, throughput: 275.82 | 2022-05-21 01:58:40.621 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86772, lr: 0.000000, top1: 0.00082, throughput: 275.72 | 2022-05-21 01:58:40.624 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86744, lr: 0.000000, top1: 0.00184, throughput: 275.76 | 2022-05-21 01:58:40.634 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86711, lr: 0.000000, top1: 0.00129, throughput: 275.76 | 2022-05-21 01:58:40.652 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86731, lr: 0.000000, top1: 0.00121, throughput: 275.58 | 2022-05-21 01:58:40.690 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86710, lr: 0.000000, top1: 0.00152, throughput: 275.55 | 2022-05-21 01:58:40.695 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86711, lr: 0.000000, top1: 0.00137, throughput: 275.61 | 2022-05-21 01:58:40.706 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86757, lr: 0.000000, top1: 0.00117, throughput: 275.90 | 2022-05-21 01:58:40.607 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/21 01:58:40.800, Tesla V100-SXM2-32GB, 470.57.02, 48 %, 16 %, 32510 MiB, 5088 MiB, 27422 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] 2022/05/21 01:58:40.802, Tesla V100-SXM2-32GB, 470.57.02, 17 %, 0 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/05/21 01:58:40.804, Tesla V100-SXM2-32GB, 470.57.02, 48 %, 16 %, 32510 MiB, 5088 MiB, 27422 MiB 2022/05/21 01:58:40.804, Tesla V100-SXM2-32GB, 470.57.02, 48 %, 16 %, 32510 MiB, 5088 MiB, 27422 MiB 2022/05/21 01:58:40.806, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 30 %, 32510 MiB, 5184 MiB, 27326 MiB 2022/05/21 01:58:40.810, Tesla V100-SXM2-32GB, 470.57.02, 17 %, 0 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/05/21 01:58:40.811, Tesla V100-SXM2-32GB, 470.57.02, 17 %, 0 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/05/21 01:58:40.812, Tesla V100-SXM2-32GB, 470.57.02, 33 %, 22 %, 32510 MiB, 5160 MiB, 27350 MiB 2022/05/21 01:58:40.815, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 30 %, 32510 MiB, 5184 MiB, 27326 MiB 2022/05/21 01:58:40.816, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 30 %, 32510 MiB, 5184 MiB, 27326 MiB 2022/05/21 01:58:40.818, Tesla V100-SXM2-32GB, 470.57.02, 76 %, 21 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/05/21 01:58:40.820, Tesla V100-SXM2-32GB, 470.57.02, 33 %, 22 %, 32510 MiB, 5160 MiB, 27350 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/21 01:58:40.821, Tesla V100-SXM2-32GB, 470.57.02, 33 %, 22 %, 32510 MiB, 5160 MiB, 27350 MiB 2022/05/21 01:58:40.823, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 34 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/05/21 01:58:40.825, Tesla V100-SXM2-32GB, 470.57.02, 76 %, 21 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/05/21 01:58:40.826, Tesla V100-SXM2-32GB, 470.57.02, 76 %, 21 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/05/21 01:58:40.826, Tesla V100-SXM2-32GB, 470.57.02, 48 %, 16 %, 32510 MiB, 5088 MiB, 27422 MiB 2022/05/21 01:58:40.828, Tesla V100-SXM2-32GB, 470.57.02, 53 %, 25 %, 32510 MiB, 5044 MiB, 27466 MiB 2022/05/21 01:58:40.830, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 34 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/05/21 01:58:40.831, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 34 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/05/21 01:58:40.832, Tesla V100-SXM2-32GB, 470.57.02, 17 %, 0 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/05/21 01:58:40.833, Tesla V100-SXM2-32GB, 470.57.02, 82 %, 50 %, 32510 MiB, 5124 MiB, 27386 MiB 2022/05/21 01:58:40.836, Tesla V100-SXM2-32GB, 470.57.02, 53 %, 25 %, 32510 MiB, 5044 MiB, 27466 MiB 2022/05/21 01:58:40.837, Tesla V100-SXM2-32GB, 470.57.02, 53 %, 25 %, 32510 MiB, 5044 MiB, 27466 MiB 2022/05/21 01:58:40.838, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 5184 MiB, 27326 MiB 2022/05/21 01:58:40.842, Tesla V100-SXM2-32GB, 470.57.02, 82 %, 50 %, 32510 MiB, 5124 MiB, 27386 MiB 2022/05/21 01:58:40.843, Tesla V100-SXM2-32GB, 470.57.02, 82 %, 50 %, 32510 MiB, 5124 MiB, 27386 MiB 2022/05/21 01:58:40.844, Tesla V100-SXM2-32GB, 470.57.02, 21 %, 10 %, 32510 MiB, 5160 MiB, 27350 MiB 2022/05/21 01:58:40.849, Tesla V100-SXM2-32GB, 470.57.02, 76 %, 21 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/05/21 01:58:40.854, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 34 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/05/21 01:58:40.863, Tesla V100-SXM2-32GB, 470.57.02, 53 %, 25 %, 32510 MiB, 5044 MiB, 27466 MiB 2022/05/21 01:58:40.868, Tesla V100-SXM2-32GB, 470.57.02, 82 %, 49 %, 32510 MiB, 5124 MiB, 27386 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] 2022/05/21 01:58:40.960, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 5088 MiB, 27422 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/21 01:58:40.967, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 5088 MiB, 27422 MiB 2022/05/21 01:58:40.968, Tesla V100-SXM2-32GB, 470.57.02, 62 %, 54 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/05/21 01:58:40.976, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 5088 MiB, 27422 MiB 2022/05/21 01:58:40.978, Tesla V100-SXM2-32GB, 470.57.02, 62 %, 54 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/05/21 01:58:40.979, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 5184 MiB, 27326 MiB 2022/05/21 01:58:40.984, Tesla V100-SXM2-32GB, 470.57.02, 62 %, 54 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/05/21 01:58:40.984, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 5184 MiB, 27326 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/21 01:58:40.985, Tesla V100-SXM2-32GB, 470.57.02, 21 %, 10 %, 32510 MiB, 5160 MiB, 27350 MiB 2022/05/21 01:58:40.987, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 5184 MiB, 27326 MiB 2022/05/21 01:58:40.988, Tesla V100-SXM2-32GB, 470.57.02, 21 %, 10 %, 32510 MiB, 5160 MiB, 27350 MiB 2022/05/21 01:58:40.989, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 84 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/05/21 01:58:40.989, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 5088 MiB, 27422 MiB 2022/05/21 01:58:40.998, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 5160 MiB, 27350 MiB 2022/05/21 01:58:41.000, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 84 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/05/21 01:58:41.002, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 82 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/05/21 01:58:41.003, Tesla V100-SXM2-32GB, 470.57.02, 62 %, 54 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/05/21 01:58:41.019, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 84 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/05/21 01:58:41.020, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 82 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/05/21 01:58:41.023, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 5044 MiB, 27466 MiB 2022/05/21 01:58:41.023, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 69 %, 32510 MiB, 5184 MiB, 27326 MiB 2022/05/21 01:58:41.026, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 82 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/05/21 01:58:41.027, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 5044 MiB, 27466 MiB 2022/05/21 01:58:41.029, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 76 %, 32510 MiB, 5124 MiB, 27386 MiB 2022/05/21 01:58:41.029, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5160 MiB, 27350 MiB 2022/05/21 01:58:41.047, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 5044 MiB, 27466 MiB 2022/05/21 01:58:41.048, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 76 %, 32510 MiB, 5124 MiB, 27386 MiB 2022/05/21 01:58:41.063, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 84 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/05/21 01:58:41.066, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 76 %, 32510 MiB, 5124 MiB, 27386 MiB 2022/05/21 01:58:41.069, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 82 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/05/21 01:58:41.083, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 5044 MiB, 27466 MiB 2022/05/21 01:58:41.088, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 76 %, 32510 MiB, 5124 MiB, 27386 MiB [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86747, lr: 0.000000, top1: 0.00102, throughput: 294.50 | 2022-05-21 02:00:07.559 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86747, lr: 0.000000, top1: 0.00129, throughput: 294.69 | 2022-05-21 02:00:07.562 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86737, lr: 0.000000, top1: 0.00117, throughput: 294.32 | 2022-05-21 02:00:07.588 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86755, lr: 0.000000, top1: 0.00113, throughput: 294.47 | 2022-05-21 02:00:07.588 [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86740, lr: 0.000000, top1: 0.00141, throughput: 294.32 | 2022-05-21 02:00:07.606 [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86732, lr: 0.000000, top1: 0.00152, throughput: 294.49 | 2022-05-21 02:00:07.625 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86703, lr: 0.000000, top1: 0.00113, throughput: 294.81 | 2022-05-21 02:00:07.541 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86740, lr: 0.000000, top1: 0.00109, throughput: 294.51 | 2022-05-21 02:00:07.546 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86731, lr: 0.000000, top1: 0.00086, throughput: 296.01 | 2022-05-21 02:01:34.047 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86716, lr: 0.000000, top1: 0.00133, throughput: 296.22 | 2022-05-21 02:01:34.047 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86747, lr: 0.000000, top1: 0.00137, throughput: 295.89 | 2022-05-21 02:01:34.065 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86734, lr: 0.000000, top1: 0.00113, throughput: 296.00 | 2022-05-21 02:01:34.073 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86754, lr: 0.000000, top1: 0.00129, throughput: 295.90 | 2022-05-21 02:01:34.076 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86716, lr: 0.000000, top1: 0.00152, throughput: 295.92 | 2022-05-21 02:01:34.115 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86737, lr: 0.000000, top1: 0.00125, throughput: 295.62 | 2022-05-21 02:01:34.137 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86730, lr: 0.000000, top1: 0.00109, throughput: 295.68 | 2022-05-21 02:01:34.168