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: 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 ------------------------ 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 .................................. 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: 3.04612 s ***** [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86706, top1: 0.00102, throughput: 253.51 | 2022-04-12 16:38:23.618 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86705, top1: 0.00109, throughput: 253.52 | 2022-04-12 16:38:23.617 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86722, top1: 0.00113, throughput: 253.52 | 2022-04-12 16:38:23.619 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86708, top1: 0.00137, throughput: 253.52 | 2022-04-12 16:38:23.617 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86736, top1: 0.00105, throughput: 253.52 | 2022-04-12 16:38:23.618 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86709, top1: 0.00125, throughput: 253.51 | 2022-04-12 16:38:23.619 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86739, top1: 0.00109, throughput: 253.52 | 2022-04-12 16:38:23.618 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86719, top1: 0.00145, throughput: 253.52 | 2022-04-12 16:38:23.618 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/12 16:38:23.900, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7877 MiB, 24633 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] 2022/04/12 16:38:23.907, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7700 MiB, 24810 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] 2022/04/12 16:38:23.910, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7877 MiB, 24633 MiB 2022/04/12 16:38:23.914, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7877 MiB, 24633 MiB 2022/04/12 16:38:23.916, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7966 MiB, 24544 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/12 16:38:23.916, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7877 MiB, 24633 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/12 16:38:23.916, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7877 MiB, 24633 MiB 2022/04/12 16:38:23.918, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7700 MiB, 24810 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/12 16:38:23.920, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7700 MiB, 24810 MiB 2022/04/12 16:38:23.922, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7978 MiB, 24532 MiB 2022/04/12 16:38:23.923, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7700 MiB, 24810 MiB 2022/04/12 16:38:23.922, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7877 MiB, 24633 MiB 2022/04/12 16:38:23.924, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7700 MiB, 24810 MiB 2022/04/12 16:38:23.923, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7877 MiB, 24633 MiB 2022/04/12 16:38:23.924, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7966 MiB, 24544 MiB 2022/04/12 16:38:23.925, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7877 MiB, 24633 MiB 2022/04/12 16:38:23.929, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7966 MiB, 24544 MiB 2022/04/12 16:38:23.931, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7946 MiB, 24564 MiB 2022/04/12 16:38:23.932, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7966 MiB, 24544 MiB 2022/04/12 16:38:23.932, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7700 MiB, 24810 MiB 2022/04/12 16:38:23.934, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7966 MiB, 24544 MiB 2022/04/12 16:38:23.934, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7700 MiB, 24810 MiB 2022/04/12 16:38:23.934, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7978 MiB, 24532 MiB 2022/04/12 16:38:23.936, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7700 MiB, 24810 MiB 2022/04/12 16:38:23.938, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7978 MiB, 24532 MiB 2022/04/12 16:38:23.940, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/12 16:38:23.941, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7978 MiB, 24532 MiB 2022/04/12 16:38:23.941, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7966 MiB, 24544 MiB 2022/04/12 16:38:23.942, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7978 MiB, 24532 MiB 2022/04/12 16:38:23.942, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7966 MiB, 24544 MiB 2022/04/12 16:38:23.943, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7946 MiB, 24564 MiB 2022/04/12 16:38:23.944, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7966 MiB, 24544 MiB 2022/04/12 16:38:23.947, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7946 MiB, 24564 MiB 2022/04/12 16:38:23.950, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7638 MiB, 24872 MiB 2022/04/12 16:38:23.952, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7946 MiB, 24564 MiB 2022/04/12 16:38:23.952, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7978 MiB, 24532 MiB 2022/04/12 16:38:23.953, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7946 MiB, 24564 MiB 2022/04/12 16:38:23.953, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7978 MiB, 24532 MiB 2022/04/12 16:38:23.954, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/12 16:38:23.955, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7978 MiB, 24532 MiB 2022/04/12 16:38:23.957, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/12 16:38:23.959, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7864 MiB, 24646 MiB 2022/04/12 16:38:23.960, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/12 16:38:23.961, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7946 MiB, 24564 MiB 2022/04/12 16:38:23.962, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/12 16:38:23.962, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7946 MiB, 24564 MiB 2022/04/12 16:38:23.962, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7638 MiB, 24872 MiB 2022/04/12 16:38:23.964, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7946 MiB, 24564 MiB 2022/04/12 16:38:23.966, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7638 MiB, 24872 MiB 2022/04/12 16:38:23.971, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7638 MiB, 24872 MiB 2022/04/12 16:38:23.972, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/12 16:38:23.973, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7638 MiB, 24872 MiB 2022/04/12 16:38:23.973, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/12 16:38:23.974, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7864 MiB, 24646 MiB 2022/04/12 16:38:23.975, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/12 16:38:23.977, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7864 MiB, 24646 MiB 2022/04/12 16:38:23.980, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7864 MiB, 24646 MiB 2022/04/12 16:38:23.980, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7638 MiB, 24872 MiB 2022/04/12 16:38:23.981, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7864 MiB, 24646 MiB 2022/04/12 16:38:23.981, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7638 MiB, 24872 MiB 2022/04/12 16:38:23.983, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7638 MiB, 24872 MiB 2022/04/12 16:38:23.990, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7864 MiB, 24646 MiB 2022/04/12 16:38:23.992, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7864 MiB, 24646 MiB 2022/04/12 16:38:23.993, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7864 MiB, 24646 MiB [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86721, top1: 0.00109, throughput: 365.28 | 2022-04-12 16:39:33.700 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86709, top1: 0.00125, throughput: 365.28[rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86716, top1: 0.00117, throughput: 365.28 | 2022-04-12 16:39:33.700| 2022-04-12 16:39:33.701 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86709, top1: 0.00121, throughput: 365.28 | 2022-04-12 16:39:33.700 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86712, top1: 0.00133, throughput: 365.28 | 2022-04-12 16:39:33.702 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86699, top1: 0.00109, throughput: 365.28 | 2022-04-12 16:39:33.701 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86713, top1: 0.00098, throughput: 365.27 | 2022-04-12 16:39:33.704 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86707, top1: 0.00180, throughput: 365.28 | 2022-04-12 16:39:33.702 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86685, top1: 0.00109, throughput: 376.57 | 2022-04-12 16:40:41.683 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86714, top1: 0.00098, throughput: 376.56[rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86704, top1: 0.00129, throughput: 376.56 | 2022-04-12 16:40:41.685| 2022-04-12 16:40:41.685 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86697, top1: 0.00133, throughput: 376.56 | 2022-04-12 16:40:41.684 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86693, top1: 0.00152, throughput: 376.56 | 2022-04-12 16:40:41.685 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86663, top1: 0.00176, throughput: 376.56 | 2022-04-12 16:40:41.686 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86713, top1: 0.00137, throughput: 376.56 | 2022-04-12 16:40:41.685 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86742, top1: 0.00102, throughput: 376.56 | 2022-04-12 16:40:41.688