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 loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 loaded library: loaded library: /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 ............................... 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: 2.96553 s ***** [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86813, top1: 0.00152, throughput: 419.44 | 2022-05-26 17:58:07.372 [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86800, top1: 0.00137, throughput: 419.47 | 2022-05-26 17:58:07.371 [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86803, top1: 0.00154, throughput: 419.43 | 2022-05-26 17:58:07.372 [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86791, top1: 0.00123, throughput: 419.43 | 2022-05-26 17:58:07.374 [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86792, top1: 0.00125, throughput: 419.43 | 2022-05-26 17:58:07.373 [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86782, top1: 0.00170, throughput: 419.45 | 2022-05-26 17:58:07.374 [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86781, top1: 0.00152, throughput: 419.44 | 2022-05-26 17:58:07.374 [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86778, top1: 0.00117, throughput: 419.43 | 2022-05-26 17:58:07.372 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/26 17:58:07.622, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7775 MiB, 24735 MiB 2022/05/26 17:58:07.630, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7780 MiB, 24730 MiB 2022/05/26 17:58:07.635, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7938 MiB, 24572 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] timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/26 17:58:07.637, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7910 MiB, 24600 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/26 17:58:07.637, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7775 MiB, 24735 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] 2022/05/26 17:58:07.638, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7775 MiB, 24735 MiB 2022/05/26 17:58:07.640, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7775 MiB, 24735 MiB 2022/05/26 17:58:07.640, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7924 MiB, 24586 MiB 2022/05/26 17:58:07.640, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7775 MiB, 24735 MiB 2022/05/26 17:58:07.641, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7780 MiB, 24730 MiB 2022/05/26 17:58:07.641, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7775 MiB, 24735 MiB 2022/05/26 17:58:07.641, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7775 MiB, 24735 MiB 2022/05/26 17:58:07.642, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7775 MiB, 24735 MiB 2022/05/26 17:58:07.644, Tesla V100-SXM2-32GB, 470.57.02, 69 %, 62 %, 32510 MiB, 7780 MiB, 24730 MiB 2022/05/26 17:58:07.647, Tesla V100-SXM2-32GB, 470.57.02, 69 %, 62 %, 32510 MiB, 7780 MiB, 24730 MiB 2022/05/26 17:58:07.647, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 7778 MiB, 24732 MiB 2022/05/26 17:58:07.648, Tesla V100-SXM2-32GB, 470.57.02, 69 %, 62 %, 32510 MiB, 7780 MiB, 24730 MiB 2022/05/26 17:58:07.648, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7938 MiB, 24572 MiB 2022/05/26 17:58:07.649, Tesla V100-SXM2-32GB, 470.57.02, 69 %, 62 %, 32510 MiB, 7780 MiB, 24730 MiB 2022/05/26 17:58:07.649, Tesla V100-SXM2-32GB, 470.57.02, 69 %, 62 %, 32510 MiB, 7780 MiB, 24730 MiB 2022/05/26 17:58:07.650, Tesla V100-SXM2-32GB, 470.57.02, 69 %, 62 %, 32510 MiB, 7780 MiB, 24730 MiB 2022/05/26 17:58:07.652, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7938 MiB, 24572 MiB 2022/05/26 17:58:07.654, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7938 MiB, 24572 MiB 2022/05/26 17:58:07.655, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7660 MiB, 24850 MiB 2022/05/26 17:58:07.655, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7938 MiB, 24572 MiB 2022/05/26 17:58:07.656, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/05/26 17:58:07.656, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7938 MiB, 24572 MiB 2022/05/26 17:58:07.657, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7938 MiB, 24572 MiB 2022/05/26 17:58:07.658, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7938 MiB, 24572 MiB 2022/05/26 17:58:07.660, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/05/26 17:58:07.662, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/05/26 17:58:07.662, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7824 MiB, 24686 MiB 2022/05/26 17:58:07.663, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/05/26 17:58:07.664, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7924 MiB, 24586 MiB 2022/05/26 17:58:07.664, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/05/26 17:58:07.665, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/05/26 17:58:07.665, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/05/26 17:58:07.667, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7924 MiB, 24586 MiB 2022/05/26 17:58:07.670, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 64 %, 32510 MiB, 7924 MiB, 24586 MiB 2022/05/26 17:58:07.671, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 64 %, 32510 MiB, 7924 MiB, 24586 MiB 2022/05/26 17:58:07.671, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 7778 MiB, 24732 MiB 2022/05/26 17:58:07.672, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 64 %, 32510 MiB, 7924 MiB, 24586 MiB 2022/05/26 17:58:07.672, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 64 %, 32510 MiB, 7924 MiB, 24586 MiB 2022/05/26 17:58:07.673, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 64 %, 32510 MiB, 7924 MiB, 24586 MiB 2022/05/26 17:58:07.675, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 7778 MiB, 24732 MiB 2022/05/26 17:58:07.678, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 7778 MiB, 24732 MiB 2022/05/26 17:58:07.678, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 7778 MiB, 24732 MiB 2022/05/26 17:58:07.679, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 55 %, 32510 MiB, 7660 MiB, 24850 MiB 2022/05/26 17:58:07.679, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 7778 MiB, 24732 MiB 2022/05/26 17:58:07.681, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 7778 MiB, 24732 MiB 2022/05/26 17:58:07.682, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 7778 MiB, 24732 MiB 2022/05/26 17:58:07.684, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 55 %, 32510 MiB, 7660 MiB, 24850 MiB 2022/05/26 17:58:07.686, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 55 %, 32510 MiB, 7660 MiB, 24850 MiB 2022/05/26 17:58:07.687, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 55 %, 32510 MiB, 7660 MiB, 24850 MiB 2022/05/26 17:58:07.687, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7824 MiB, 24686 MiB 2022/05/26 17:58:07.688, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 55 %, 32510 MiB, 7660 MiB, 24850 MiB 2022/05/26 17:58:07.688, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 55 %, 32510 MiB, 7660 MiB, 24850 MiB 2022/05/26 17:58:07.689, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 55 %, 32510 MiB, 7660 MiB, 24850 MiB 2022/05/26 17:58:07.691, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7824 MiB, 24686 MiB 2022/05/26 17:58:07.694, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7824 MiB, 24686 MiB 2022/05/26 17:58:07.694, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7824 MiB, 24686 MiB 2022/05/26 17:58:07.695, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7824 MiB, 24686 MiB 2022/05/26 17:58:07.696, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7824 MiB, 24686 MiB 2022/05/26 17:58:07.697, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 7824 MiB, 24686 MiB [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86810, top1: 0.00129, throughput: 1400.73 | 2022-05-26 17:58:43.926 [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86781, top1: 0.00148, throughput: 1400.68 | 2022-05-26 17:58:43.926 [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86788, top1: 0.00180, throughput: 1400.70 | 2022-05-26 17:58:43.925 [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86801, top1: 0.00133, throughput: 1400.57 | 2022-05-26 17:58:43.928 [rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86765, top1: 0.00170, throughput: 1400.71 | 2022-05-26 17:58:43.927 [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86793, top1: 0.00141, throughput: 1400.58 | 2022-05-26 17:58:43.928 [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86788, top1: 0.00148, throughput: 1400.58 | 2022-05-26 17:58:43.930 [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86789, top1: 0.00158, throughput: 1400.34 | 2022-05-26 17:58:43.936 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86773, top1: 0.00123, throughput: 1361.45 | 2022-05-26 17:59:21.535 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86806, top1: 0.00152, throughput: 1361.34 | 2022-05-26 17:59:21.536 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86780, top1: 0.00189, throughput: 1361.25 | 2022-05-26 17:59:21.539 [rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86778, top1: 0.00164, throughput: 1361.43 | 2022-05-26 17:59:21.536 [rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86805, top1: 0.00109, throughput: 1361.67 | 2022-05-26 17:59:21.536 [rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86800, top1: 0.00129, throughput: 1361.37 | 2022-05-26 17:59:21.536 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86798, top1: 0.00131, throughput: 1361.20 | 2022-05-26 17:59:21.539 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86778, top1: 0.00141, throughput: 1361.43 | 2022-05-26 17:59:21.538