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: 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 loaded library: loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1/usr/lib/x86_64-linux-gnu/libibverbs.so.1 W20220503 02:06:17.320603 3665 rpc_client.cpp:190] LoadServer 10.7.164.156 Failed at 0 times error_code 14 error_message failed to connect to all addresses ------------------------ 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: 3.39305 s ***** [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86750, top1: 0.00100, throughput: 453.61 | 2022-05-03 02:08:25.933 [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86741, top1: 0.00104, throughput: 453.62 | 2022-05-03 02:08:25.934 [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86773, top1: 0.00109, throughput: 453.60 | 2022-05-03 02:08:25.936 [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86744, top1: 0.00117, throughput: 453.61 | 2022-05-03 02:08:25.933 [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86742, top1: 0.00088, throughput: 453.61 | 2022-05-03 02:08:25.935 [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86761, top1: 0.00115, throughput: 453.62 | 2022-05-03 02:08:25.934 [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86751, top1: 0.00086, throughput: 453.61 | 2022-05-03 02:08:25.934 [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86745, top1: 0.00104, throughput: 453.61 | 2022-05-03 02:08:25.936 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/03 02:08:26.248, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/03 02:08:26.256, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 72 %, 32510 MiB, 8550 MiB, 23960 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] 2022/05/03 02:08:26.262, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 91 %, 32510 MiB, 8722 MiB, 23788 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/03 02:08:26.268, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 92 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/03 02:08:26.269, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 92 %, 32510 MiB, 8561 MiB, 23949 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/03 02:08:26.273, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8694 MiB, 23816 MiB 2022/05/03 02:08:26.274, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 72 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/03 02:08:26.274, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 92 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/03 02:08:26.275, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 72 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/03 02:08:26.278, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 92 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/03 02:08:26.279, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 92 %, 32510 MiB, 8688 MiB, 23822 MiB 2022/05/03 02:08:26.282, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 91 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/03 02:08:26.282, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 72 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/03 02:08:26.282, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 91 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/03 02:08:26.291, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 72 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/03 02:08:26.292, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 91 %, 32510 MiB, 8574 MiB, 23936 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] 2022/05/03 02:08:26.294, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8694 MiB, 23816 MiB 2022/05/03 02:08:26.294, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 91 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/03 02:08:26.295, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8694 MiB, 23816 MiB 2022/05/03 02:08:26.297, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 91 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/03 02:08:26.298, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 92 %, 32510 MiB, 8462 MiB, 24048 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/03 02:08:26.298, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 92 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/03 02:08:26.299, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 92 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/03 02:08:26.300, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 91 %, 32510 MiB, 8688 MiB, 23822 MiB 2022/05/03 02:08:26.301, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 85 %, 32510 MiB, 8694 MiB, 23816 MiB 2022/05/03 02:08:26.301, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8688 MiB, 23822 MiB 2022/05/03 02:08:26.309, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 85 %, 32510 MiB, 8694 MiB, 23816 MiB 2022/05/03 02:08:26.310, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 82 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/03 02:08:26.314, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/03 02:08:26.315, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 70 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/03 02:08:26.316, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 70 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/03 02:08:26.320, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 90 %, 32510 MiB, 8574 MiB, 23936 MiB 2022/05/03 02:08:26.337, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8688 MiB, 23822 MiB 2022/05/03 02:08:26.338, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 90 %, 32510 MiB, 8574 MiB, 23936 MiB 2022/05/03 02:08:26.351, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8688 MiB, 23822 MiB 2022/05/03 02:08:26.356, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 70 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/03 02:08:26.357, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/03 02:08:26.358, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/03 02:08:26.358, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 92 %, 32510 MiB, 8462 MiB, 24048 MiB 2022/05/03 02:08:26.359, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 90 %, 32510 MiB, 8574 MiB, 23936 MiB 2022/05/03 02:08:26.359, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 92 %, 32510 MiB, 8462 MiB, 24048 MiB 2022/05/03 02:08:26.365, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 90 %, 32510 MiB, 8574 MiB, 23936 MiB 2022/05/03 02:08:26.370, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/03 02:08:26.370, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 85 %, 32510 MiB, 8694 MiB, 23816 MiB 2022/05/03 02:08:26.373, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 85 %, 32510 MiB, 8694 MiB, 23816 MiB 2022/05/03 02:08:26.373, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 82 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/03 02:08:26.374, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 92 %, 32510 MiB, 8462 MiB, 24048 MiB 2022/05/03 02:08:26.374, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 82 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/03 02:08:26.379, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 92 %, 32510 MiB, 8462 MiB, 24048 MiB 2022/05/03 02:08:26.389, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8694 MiB, 23816 MiB 2022/05/03 02:08:26.389, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8688 MiB, 23822 MiB 2022/05/03 02:08:26.390, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8688 MiB, 23822 MiB 2022/05/03 02:08:26.393, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 82 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/03 02:08:26.398, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 82 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/03 02:08:26.413, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8688 MiB, 23822 MiB 2022/05/03 02:08:26.414, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8574 MiB, 23936 MiB 2022/05/03 02:08:26.415, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8574 MiB, 23936 MiB 2022/05/03 02:08:26.436, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8574 MiB, 23936 MiB 2022/05/03 02:08:26.436, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8462 MiB, 24048 MiB 2022/05/03 02:08:26.437, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8462 MiB, 24048 MiB 2022/05/03 02:08:26.453, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8462 MiB, 24048 MiB 2022/05/03 02:08:26.453, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 82 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/03 02:08:26.454, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 82 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/03 02:08:26.466, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 82 %, 32510 MiB, 8602 MiB, 23908 MiB [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86731, top1: 0.00088, throughput: 1349.25 | 2022-05-03 02:09:03.883 [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86762, top1: 0.00100, throughput: 1349.13 | 2022-05-03 02:09:03.883 [rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86760, top1: 0.00070, throughput: 1349.14 | 2022-05-03 02:09:03.884 [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86750, top1: 0.00105, throughput: 1349.11 | 2022-05-03 02:09:03.886 [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86751, top1: 0.00074, throughput: 1349.15[rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86742, top1: 0.00107, throughput: 1349.12 | 2022-05-03 02:09:03.884 | 2022-05-03 02:09:03.884 [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86748, top1: 0.00100, throughput: 1349.12 | 2022-05-03 02:09:03.885[rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86763, top1: 0.00111, throughput: 1349.19 | 2022-05-03 02:09:03.885 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86747, top1: 0.00096, throughput: 1361.74 | 2022-05-03 02:09:41.482 [rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86733, top1: 0.00105, throughput: 1361.75 | 2022-05-03 02:09:41.483 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86772, top1: 0.00107, throughput: 1361.73 | 2022-05-03 02:09:41.484 [rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86746, top1: 0.00119, throughput: 1361.67 | 2022-05-03 02:09:41.484 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86759, top1: 0.00117, throughput: 1361.80 | 2022-05-03 02:09:41.483 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86752, top1: 0.00098, throughput: 1361.73 | 2022-05-03 02:09:41.483 [rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86752, top1: 0.00102, throughput: 1361.69 | 2022-05-03 02:09:41.484 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86740, top1: 0.00084, throughput: 1361.70 | 2022-05-03 02:09:41.485