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: /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 W20220516 07:00:01.799815 439 rpc_client.cpp:190] LoadServer 10.7.164.224 Failed at 0 times error_code 14 error_message failed to connect to all addresses 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 ............................... 312 channel_last .................................... True 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 ................................... 4.096 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 ................................ 512 train_global_batch_size ......................... 4096 use_fp16 ........................................ True use_gpu_decode .................................. True 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: 3.00522 s ***** [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86777, top1: 0.00125, throughput: 431.49 | 2022-05-16 07:02:15.623 [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86766, top1: 0.00141, throughput: 431.51 | 2022-05-16 07:02:15.621 [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86759, top1: 0.00109, throughput: 431.48 | 2022-05-16 07:02:15.622 [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86747, top1: 0.00117, throughput: 431.50 | 2022-05-16 07:02:15.622 [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86766, top1: 0.00137, throughput: 431.54 | 2022-05-16 07:02:15.623 [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86770, top1: 0.00111, throughput: 431.48 | 2022-05-16 07:02:15.623 [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86780, top1: 0.00156, throughput: 431.50 | 2022-05-16 07:02:15.624 [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86758, top1: 0.00119, throughput: 431.52 | 2022-05-16 07:02:15.624 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] timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/16 07:02:15.848, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7793 MiB, 24717 MiB 2022/05/16 07:02:15.848, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7793 MiB, 24717 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/16 07:02:15.849, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7793 MiB, 24717 MiB 2022/05/16 07:02:15.851, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7793 MiB, 24717 MiB 2022/05/16 07:02:15.854, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7742 MiB, 24768 MiB 2022/05/16 07:02:15.856, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7742 MiB, 24768 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] 2022/05/16 07:02:15.858, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7742 MiB, 24768 MiB 2022/05/16 07:02:15.857, Tesla V100-SXM2-32GB, 470.57.02, 90 %, 82 %, 32510 MiB, 7793 MiB, 24717 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/16 07:02:15.860, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7742 MiB, 24768 MiB 2022/05/16 07:02:15.861, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7930 MiB, 24580 MiB 2022/05/16 07:02:15.865, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7930 MiB, 24580 MiB 2022/05/16 07:02:15.866, Tesla V100-SXM2-32GB, 470.57.02, 90 %, 82 %, 32510 MiB, 7793 MiB, 24717 MiB 2022/05/16 07:02:15.866, Tesla V100-SXM2-32GB, 470.57.02, 90 %, 82 %, 32510 MiB, 7793 MiB, 24717 MiB 2022/05/16 07:02:15.867, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7930 MiB, 24580 MiB 2022/05/16 07:02:15.867, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7742 MiB, 24768 MiB 2022/05/16 07:02:15.867, Tesla V100-SXM2-32GB, 470.57.02, 90 %, 82 %, 32510 MiB, 7793 MiB, 24717 MiB 2022/05/16 07:02:15.869, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7930 MiB, 24580 MiB 2022/05/16 07:02:15.871, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 80 %, 32510 MiB, 7914 MiB, 24596 MiB 2022/05/16 07:02:15.872, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 80 %, 32510 MiB, 7914 MiB, 24596 MiB 2022/05/16 07:02:15.874, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7742 MiB, 24768 MiB 2022/05/16 07:02:15.874, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7742 MiB, 24768 MiB 2022/05/16 07:02:15.874, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 80 %, 32510 MiB, 7914 MiB, 24596 MiB 2022/05/16 07:02:15.874, Tesla V100-SXM2-32GB, 470.57.02, 80 %, 74 %, 32510 MiB, 7930 MiB, 24580 MiB 2022/05/16 07:02:15.876, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7742 MiB, 24768 MiB 2022/05/16 07:02:15.877, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 80 %, 32510 MiB, 7914 MiB, 24596 MiB 2022/05/16 07:02:15.879, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7924 MiB, 24586 MiB 2022/05/16 07:02:15.885, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7924 MiB, 24586 MiB 2022/05/16 07:02:15.886, Tesla V100-SXM2-32GB, 470.57.02, 80 %, 74 %, 32510 MiB, 7930 MiB, 24580 MiB 2022/05/16 07:02:15.886, Tesla V100-SXM2-32GB, 470.57.02, 80 %, 74 %, 32510 MiB, 7930 MiB, 24580 MiB 2022/05/16 07:02:15.886, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7924 MiB, 24586 MiB 2022/05/16 07:02:15.887, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 80 %, 32510 MiB, 7914 MiB, 24596 MiB 2022/05/16 07:02:15.888, Tesla V100-SXM2-32GB, 470.57.02, 80 %, 74 %, 32510 MiB, 7930 MiB, 24580 MiB 2022/05/16 07:02:15.889, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7924 MiB, 24586 MiB 2022/05/16 07:02:15.891, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7832 MiB, 24678 MiB 2022/05/16 07:02:15.893, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7832 MiB, 24678 MiB 2022/05/16 07:02:15.894, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 80 %, 32510 MiB, 7914 MiB, 24596 MiB 2022/05/16 07:02:15.894, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 80 %, 32510 MiB, 7914 MiB, 24596 MiB 2022/05/16 07:02:15.895, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7832 MiB, 24678 MiB 2022/05/16 07:02:15.895, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7924 MiB, 24586 MiB 2022/05/16 07:02:15.896, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 80 %, 32510 MiB, 7914 MiB, 24596 MiB 2022/05/16 07:02:15.897, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7832 MiB, 24678 MiB 2022/05/16 07:02:15.899, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7620 MiB, 24890 MiB 2022/05/16 07:02:15.901, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7620 MiB, 24890 MiB 2022/05/16 07:02:15.902, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7924 MiB, 24586 MiB 2022/05/16 07:02:15.902, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7924 MiB, 24586 MiB 2022/05/16 07:02:15.902, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7620 MiB, 24890 MiB 2022/05/16 07:02:15.903, Tesla V100-SXM2-32GB, 470.57.02, 66 %, 59 %, 32510 MiB, 7832 MiB, 24678 MiB 2022/05/16 07:02:15.904, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7924 MiB, 24586 MiB 2022/05/16 07:02:15.905, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7620 MiB, 24890 MiB 2022/05/16 07:02:15.907, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 64 %, 32510 MiB, 7826 MiB, 24684 MiB 2022/05/16 07:02:15.908, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 64 %, 32510 MiB, 7826 MiB, 24684 MiB 2022/05/16 07:02:15.909, Tesla V100-SXM2-32GB, 470.57.02, 66 %, 59 %, 32510 MiB, 7832 MiB, 24678 MiB 2022/05/16 07:02:15.909, Tesla V100-SXM2-32GB, 470.57.02, 66 %, 59 %, 32510 MiB, 7832 MiB, 24678 MiB 2022/05/16 07:02:15.910, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 64 %, 32510 MiB, 7826 MiB, 24684 MiB 2022/05/16 07:02:15.910, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7620 MiB, 24890 MiB 2022/05/16 07:02:15.911, Tesla V100-SXM2-32GB, 470.57.02, 66 %, 59 %, 32510 MiB, 7832 MiB, 24678 MiB 2022/05/16 07:02:15.912, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 64 %, 32510 MiB, 7826 MiB, 24684 MiB 2022/05/16 07:02:15.917, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 7620 MiB, 24890 MiB 2022/05/16 07:02:15.917, Tesla V100-SXM2-32GB, 470.57.02, 70 %, 62 %, 32510 MiB, 7620 MiB, 24890 MiB 2022/05/16 07:02:15.918, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 64 %, 32510 MiB, 7826 MiB, 24684 MiB 2022/05/16 07:02:15.919, Tesla V100-SXM2-32GB, 470.57.02, 70 %, 62 %, 32510 MiB, 7620 MiB, 24890 MiB 2022/05/16 07:02:15.924, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 64 %, 32510 MiB, 7826 MiB, 24684 MiB 2022/05/16 07:02:15.924, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 64 %, 32510 MiB, 7826 MiB, 24684 MiB 2022/05/16 07:02:15.925, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 64 %, 32510 MiB, 7826 MiB, 24684 MiB [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86754, top1: 0.00135, throughput: 1346.44 | 2022-05-16 07:02:53.648 [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86764, top1: 0.00135, throughput: 1346.43 | 2022-05-16 07:02:53.651 [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86785, top1: 0.00090, throughput: 1346.44 | 2022-05-16 07:02:53.648 [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86778, top1: 0.00113, throughput: 1346.50 | 2022-05-16 07:02:53.648 [rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86748, top1: 0.00143, throughput: 1346.46 | 2022-05-16 07:02:53.648 [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86742, top1: 0.00145, throughput: 1346.38 | 2022-05-16 07:02:53.649 [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86755, top1: 0.00104, throughput: 1346.43 | 2022-05-16 07:02:53.650 [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86764, top1: 0.00145, throughput: 1346.04 | 2022-05-16 07:02:53.660 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86748, top1: 0.00150, throughput: 1356.39 | 2022-05-16 07:03:31.396 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86768, top1: 0.00141, throughput: 1356.39 | 2022-05-16 07:03:31.395 [rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86779, top1: 0.00170, throughput: 1356.35 | 2022-05-16 07:03:31.396 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86780, top1: 0.00146, throughput: 1356.37 | 2022-05-16 07:03:31.399 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86769, top1: 0.00135, throughput: 1356.76 | 2022-05-16 07:03:31.397 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86755, top1: 0.00115, throughput: 1356.39 | 2022-05-16 07:03:31.396 [rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86763, top1: 0.00115, throughput: 1356.35 | 2022-05-16 07:03:31.397 [rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86743, top1: 0.00123, throughput: 1352.02 | 2022-05-16 07:03:31.519