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: 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 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 .................................. 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: 2.88522 s ***** [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86732, top1: 0.00107, throughput: 447.85 | 2022-04-09 01:57:16.190 [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86746, top1: 0.00072, throughput: 447.87 | 2022-04-09 01:57:16.189 [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86732, top1: 0.00092, throughput: 447.87 | 2022-04-09 01:57:16.187 [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86727, top1: 0.00105, throughput: 447.85 | 2022-04-09 01:57:16.189 [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86710, top1: 0.00096, throughput: 447.86 | 2022-04-09 01:57:16.189 [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86716, top1: 0.00107, throughput: 447.87 | 2022-04-09 01:57:16.192 [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86746, top1: 0.00111, throughput: 447.86 | 2022-04-09 01:57:16.192 [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86748, top1: 0.00086, throughput: 447.86 | 2022-04-09 01:57:16.192 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] 2022/04/09 01:57:16.527, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 8525 MiB, 23985 MiB 2022/04/09 01:57:16.528, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 8525 MiB, 23985 MiB 2022/04/09 01:57:16.528, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 8525 MiB, 23985 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] 2022/04/09 01:57:16.536, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/04/09 01:57:16.536, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/04/09 01:57:16.537, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 8554 MiB, 23956 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] 2022/04/09 01:57:16.548, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 69 %, 32510 MiB, 8525 MiB, 23985 MiB 2022/04/09 01:57:16.569, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 88 %, 32510 MiB, 8706 MiB, 23804 MiB 2022/04/09 01:57:16.568, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 69 %, 32510 MiB, 8525 MiB, 23985 MiB 2022/04/09 01:57:16.582, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 88 %, 32510 MiB, 8706 MiB, 23804 MiB 2022/04/09 01:57:16.588, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 88 %, 32510 MiB, 8706 MiB, 23804 MiB 2022/04/09 01:57:16.589, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 69 %, 32510 MiB, 8525 MiB, 23985 MiB 2022/04/09 01:57:16.624, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 69 %, 32510 MiB, 8525 MiB, 23985 MiB 2022/04/09 01:57:16.625, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 69 %, 32510 MiB, 8525 MiB, 23985 MiB 2022/04/09 01:57:16.626, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 68 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/04/09 01:57:16.639, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 83 %, 32510 MiB, 8638 MiB, 23872 MiB 2022/04/09 01:57:16.639, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 68 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/04/09 01:57:16.639, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 83 %, 32510 MiB, 8638 MiB, 23872 MiB 2022/04/09 01:57:16.640, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 83 %, 32510 MiB, 8638 MiB, 23872 MiB 2022/04/09 01:57:16.644, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 68 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/04/09 01:57:16.646, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 68 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/04/09 01:57:16.647, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 68 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/04/09 01:57:16.648, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 88 %, 32510 MiB, 8706 MiB, 23804 MiB 2022/04/09 01:57:16.659, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 65 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/04/09 01:57:16.661, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 88 %, 32510 MiB, 8706 MiB, 23804 MiB 2022/04/09 01:57:16.661, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 65 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/04/09 01:57:16.661, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 65 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/04/09 01:57:16.666, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 88 %, 32510 MiB, 8706 MiB, 23804 MiB 2022/04/09 01:57:16.668, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 88 %, 32510 MiB, 8706 MiB, 23804 MiB 2022/04/09 01:57:16.669, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 88 %, 32510 MiB, 8706 MiB, 23804 MiB 2022/04/09 01:57:16.671, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8638 MiB, 23872 MiB 2022/04/09 01:57:16.684, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 66 %, 32510 MiB, 8538 MiB, 23972 MiB 2022/04/09 01:57:16.685, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8638 MiB, 23872 MiB 2022/04/09 01:57:16.685, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 66 %, 32510 MiB, 8538 MiB, 23972 MiB 2022/04/09 01:57:16.685, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 66 %, 32510 MiB, 8538 MiB, 23972 MiB 2022/04/09 01:57:16.688, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8638 MiB, 23872 MiB 2022/04/09 01:57:16.696, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8638 MiB, 23872 MiB 2022/04/09 01:57:16.698, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8638 MiB, 23872 MiB 2022/04/09 01:57:16.701, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 65 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/04/09 01:57:16.705, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 74 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/09 01:57:16.706, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 65 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/04/09 01:57:16.706, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 74 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/09 01:57:16.706, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 74 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/09 01:57:16.711, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 65 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/04/09 01:57:16.717, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 65 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/04/09 01:57:16.721, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 65 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/04/09 01:57:16.722, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 66 %, 32510 MiB, 8538 MiB, 23972 MiB 2022/04/09 01:57:16.727, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8566 MiB, 23944 MiB 2022/04/09 01:57:16.727, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 66 %, 32510 MiB, 8538 MiB, 23972 MiB 2022/04/09 01:57:16.727, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8566 MiB, 23944 MiB 2022/04/09 01:57:16.727, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8566 MiB, 23944 MiB 2022/04/09 01:57:16.732, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 66 %, 32510 MiB, 8538 MiB, 23972 MiB 2022/04/09 01:57:16.737, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 66 %, 32510 MiB, 8538 MiB, 23972 MiB 2022/04/09 01:57:16.739, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 66 %, 32510 MiB, 8538 MiB, 23972 MiB 2022/04/09 01:57:16.739, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/09 01:57:16.742, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/09 01:57:16.747, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/09 01:57:16.749, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/09 01:57:16.757, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/09 01:57:16.758, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8566 MiB, 23944 MiB 2022/04/09 01:57:16.765, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8566 MiB, 23944 MiB 2022/04/09 01:57:16.768, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8566 MiB, 23944 MiB 2022/04/09 01:57:16.769, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8566 MiB, 23944 MiB 2022/04/09 01:57:16.770, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8566 MiB, 23944 MiB [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86729, top1: 0.00115, throughput: 1315.28 | 2022-04-09 01:57:55.116 [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86713, top1: 0.00098, throughput: 1315.22 | 2022-04-09 01:57:55.120 [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86720, top1: 0.00086, throughput: 1315.15 | 2022-04-09 01:57:55.120 [rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86740, top1: 0.00088, throughput: 1315.19 | 2022-04-09 01:57:55.119 [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86738, top1: 0.00092, throughput: 1315.31 | 2022-04-09 01:57:55.116 [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86747, top1: 0.00092, throughput: 1315.17 | 2022-04-09 01:57:55.118 [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86729, top1: 0.00088, throughput: 1315.25 | 2022-04-09 01:57:55.120 [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86715, top1: 0.00086, throughput: 1315.21 | 2022-04-09 01:57:55.121 [rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86717, top1: 0.00082, throughput: 1329.12 | 2022-04-09 01:58:33.639 [rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86733, top1: 0.00082, throughput: 1329.06 | 2022-04-09 01:58:33.640 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86740, top1: 0.00109, throughput: 1329.08 | 2022-04-09 01:58:33.639 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86733, top1: 0.00086, throughput: 1329.10 | 2022-04-09 01:58:33.642 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86725, top1: 0.00115, throughput: 1329.15 | 2022-04-09 01:58:33.641 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86736, top1: 0.00117, throughput: 1329.08 | 2022-04-09 01:58:33.643 [rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86728, top1: 0.00100, throughput: 1329.10 | 2022-04-09 01:58:33.641 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86746, top1: 0.00088, throughput: 1329.16 | 2022-04-09 01:58:33.641