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: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 W20220429 01:43:23.926568 2042 rpc_client.cpp:190] LoadServer 10.7.155.237 Failed at 0 times error_code 14 error_message failed to connect to all addresses ------------------------ 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: 3.01820 s ***** [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86740, top1: 0.00121, throughput: 261.77 | 2022-04-29 01:45:17.047 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86774, top1: 0.00086, throughput: 261.78 | 2022-04-29 01:45:17.047 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86744, top1: 0.00102, throughput: 261.77 | 2022-04-29 01:45:17.048 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86719, top1: 0.00062, throughput: 261.78 | 2022-04-29 01:45:17.046 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86749, top1: 0.00051, throughput: 261.78 | 2022-04-29 01:45:17.047 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86721, top1: 0.00113, throughput: 261.78 | 2022-04-29 01:45:17.047 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86749, top1: 0.00098, throughput: 261.78 | 2022-04-29 01:45:17.048 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86720, top1: 0.00098, throughput: 261.78 | 2022-04-29 01:45:17.047 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/29 01:45:17.303, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 7785 MiB, 24725 MiB 2022/04/29 01:45:17.311, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7762 MiB, 24748 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/29 01:45:17.321, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 7952 MiB, 24558 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/29 01:45:17.324, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 7785 MiB, 24725 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] 2022/04/29 01:45:17.326, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 56 %, 32510 MiB, 7880 MiB, 24630 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/29 01:45:17.328, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 7785 MiB, 24725 MiB 2022/04/29 01:45:17.328, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/29 01:45:17.328, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 7785 MiB, 24725 MiB 2022/04/29 01:45:17.329, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 7785 MiB, 24725 MiB 2022/04/29 01:45:17.330, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 7785 MiB, 24725 MiB 2022/04/29 01:45:17.331, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7874 MiB, 24636 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/29 01:45:17.334, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 7785 MiB, 24725 MiB 2022/04/29 01:45:17.335, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/29 01:45:17.336, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 7952 MiB, 24558 MiB 2022/04/29 01:45:17.337, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/29 01:45:17.338, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/29 01:45:17.339, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/29 01:45:17.339, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/29 01:45:17.340, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 7785 MiB, 24725 MiB 2022/04/29 01:45:17.342, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/29 01:45:17.343, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 7952 MiB, 24558 MiB 2022/04/29 01:45:17.343, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7880 MiB, 24630 MiB 2022/04/29 01:45:17.344, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 7952 MiB, 24558 MiB 2022/04/29 01:45:17.345, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 7952 MiB, 24558 MiB 2022/04/29 01:45:17.346, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 7952 MiB, 24558 MiB 2022/04/29 01:45:17.347, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 48 %, 32510 MiB, 7664 MiB, 24846 MiB 2022/04/29 01:45:17.348, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/29 01:45:17.350, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 7952 MiB, 24558 MiB 2022/04/29 01:45:17.350, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7880 MiB, 24630 MiB 2022/04/29 01:45:17.351, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7874 MiB, 24636 MiB 2022/04/29 01:45:17.352, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7880 MiB, 24630 MiB 2022/04/29 01:45:17.353, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7880 MiB, 24630 MiB 2022/04/29 01:45:17.354, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7880 MiB, 24630 MiB 2022/04/29 01:45:17.355, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7784 MiB, 24726 MiB 2022/04/29 01:45:17.356, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 7952 MiB, 24558 MiB 2022/04/29 01:45:17.358, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7880 MiB, 24630 MiB 2022/04/29 01:45:17.358, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7874 MiB, 24636 MiB 2022/04/29 01:45:17.359, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/29 01:45:17.360, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7874 MiB, 24636 MiB 2022/04/29 01:45:17.361, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7874 MiB, 24636 MiB 2022/04/29 01:45:17.362, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7874 MiB, 24636 MiB 2022/04/29 01:45:17.364, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7880 MiB, 24630 MiB 2022/04/29 01:45:17.366, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7874 MiB, 24636 MiB 2022/04/29 01:45:17.366, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/29 01:45:17.367, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 48 %, 32510 MiB, 7664 MiB, 24846 MiB 2022/04/29 01:45:17.368, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/29 01:45:17.369, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/29 01:45:17.370, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/29 01:45:17.372, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7874 MiB, 24636 MiB 2022/04/29 01:45:17.375, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/29 01:45:17.376, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 48 %, 32510 MiB, 7664 MiB, 24846 MiB 2022/04/29 01:45:17.376, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7784 MiB, 24726 MiB 2022/04/29 01:45:17.377, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 48 %, 32510 MiB, 7664 MiB, 24846 MiB 2022/04/29 01:45:17.379, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 48 %, 32510 MiB, 7664 MiB, 24846 MiB 2022/04/29 01:45:17.380, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 48 %, 32510 MiB, 7664 MiB, 24846 MiB 2022/04/29 01:45:17.382, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 7762 MiB, 24748 MiB 2022/04/29 01:45:17.383, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 48 %, 32510 MiB, 7664 MiB, 24846 MiB 2022/04/29 01:45:17.384, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7784 MiB, 24726 MiB 2022/04/29 01:45:17.385, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7784 MiB, 24726 MiB 2022/04/29 01:45:17.387, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7784 MiB, 24726 MiB 2022/04/29 01:45:17.388, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7784 MiB, 24726 MiB 2022/04/29 01:45:17.390, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 48 %, 32510 MiB, 7664 MiB, 24846 MiB 2022/04/29 01:45:17.392, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7784 MiB, 24726 MiB 2022/04/29 01:45:17.403, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7784 MiB, 24726 MiB [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86714, top1: 0.00086, throughput: 370.03 | 2022-04-29 01:46:26.230 [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86721, top1: 0.00094, throughput: 370.03 | 2022-04-29 01:46:26.230 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86754, top1: 0.00086, throughput: 370.03 | 2022-04-29 01:46:26.231 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86747, top1: 0.00105, throughput: 370.03 | 2022-04-29 01:46:26.230 [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86735, top1: 0.00102, throughput: 370.02 | 2022-04-29 01:46:26.231 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86718, top1: 0.00090, throughput: 370.03 | 2022-04-29 01:46:26.230 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86741, top1: 0.00125, throughput: 370.03 | 2022-04-29 01:46:26.233 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86712, top1: 0.00109, throughput: 370.03 | 2022-04-29 01:46:26.232 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86735, top1: 0.00070, throughput: 376.12 | 2022-04-29 01:47:34.293 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86753, top1: 0.00074, throughput: 376.13 | 2022-04-29 01:47:34.295 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86740, top1: 0.00086, throughput: 376.13 | 2022-04-29 01:47:34.291 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86735, top1: 0.00137, throughput: 376.13 | 2022-04-29 01:47:34.292 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86739, top1: 0.00059, throughput: 376.13 | 2022-04-29 01:47:34.292 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86718, top1: 0.00102, throughput: 376.13 | 2022-04-29 01:47:34.293 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86762, top1: 0.00109, throughput: 376.12 | 2022-04-29 01:47:34.293 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86729, top1: 0.00078, throughput: 376.12 | 2022-04-29 01:47:34.294