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 W20220428 01:45:17.872136 2038 rpc_client.cpp:190] LoadServer 10.7.183.15 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220428 01:45:17.873484 2039 rpc_client.cpp:190] LoadServer 10.7.183.15 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220428 01:45:17.873322 2037 rpc_client.cpp:190] LoadServer 10.7.183.15 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: 3.02350 s ***** [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86762, top1: 0.00105, throughput: 261.83 | 2022-04-28 01:47:10.998 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86727, top1: 0.00141, throughput: 261.80 | 2022-04-28 01:47:10.998 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86750, top1: 0.00105, throughput: 261.82 | 2022-04-28 01:47:10.998 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86751, top1: 0.00121, throughput: 261.82 | 2022-04-28 01:47:10.999 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86759, top1: 0.00102, throughput: 261.80 | 2022-04-28 01:47:11.002 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86759, top1: 0.00137, throughput: 261.81 | 2022-04-28 01:47:10.999 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86751, top1: 0.00133, throughput: 261.83 | 2022-04-28 01:47:11.000 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86772, top1: 0.00102, throughput: 261.83 | 2022-04-28 01:47:10.999 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] 2022/04/28 01:47:11.267, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7783 MiB, 24727 MiB 2022/04/28 01:47:11.267, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7783 MiB, 24727 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/28 01:47:11.274, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7790 MiB, 24720 MiB 2022/04/28 01:47:11.275, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7790 MiB, 24720 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/28 01:47:11.279, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7783 MiB, 24727 MiB 2022/04/28 01:47:11.281, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7890 MiB, 24620 MiB 2022/04/28 01:47:11.282, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7890 MiB, 24620 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] 2022/04/28 01:47:11.284, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7783 MiB, 24727 MiB 2022/04/28 01:47:11.285, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7790 MiB, 24720 MiB 2022/04/28 01:47:11.286, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7858 MiB, 24652 MiB 2022/04/28 01:47:11.287, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7858 MiB, 24652 MiB 2022/04/28 01:47:11.287, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7783 MiB, 24727 MiB 2022/04/28 01:47:11.288, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7783 MiB, 24727 MiB 2022/04/28 01:47:11.289, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7783 MiB, 24727 MiB 2022/04/28 01:47:11.290, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7790 MiB, 24720 MiB 2022/04/28 01:47:11.289, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7783 MiB, 24727 MiB 2022/04/28 01:47:11.292, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7890 MiB, 24620 MiB 2022/04/28 01:47:11.293, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7856 MiB, 24654 MiB 2022/04/28 01:47:11.294, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7856 MiB, 24654 MiB 2022/04/28 01:47:11.296, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7790 MiB, 24720 MiB 2022/04/28 01:47:11.297, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7790 MiB, 24720 MiB 2022/04/28 01:47:11.298, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7790 MiB, 24720 MiB 2022/04/28 01:47:11.298, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7890 MiB, 24620 MiB 2022/04/28 01:47:11.299, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7790 MiB, 24720 MiB 2022/04/28 01:47:11.300, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7858 MiB, 24652 MiB 2022/04/28 01:47:11.301, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7720 MiB, 24790 MiB 2022/04/28 01:47:11.303, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7720 MiB, 24790 MiB 2022/04/28 01:47:11.304, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7890 MiB, 24620 MiB 2022/04/28 01:47:11.309, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7890 MiB, 24620 MiB 2022/04/28 01:47:11.310, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7890 MiB, 24620 MiB 2022/04/28 01:47:11.310, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7858 MiB, 24652 MiB 2022/04/28 01:47:11.311, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7890 MiB, 24620 MiB 2022/04/28 01:47:11.313, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7856 MiB, 24654 MiB 2022/04/28 01:47:11.322, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7646 MiB, 24864 MiB 2022/04/28 01:47:11.324, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7646 MiB, 24864 MiB 2022/04/28 01:47:11.325, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7858 MiB, 24652 MiB 2022/04/28 01:47:11.327, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7858 MiB, 24652 MiB 2022/04/28 01:47:11.328, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7858 MiB, 24652 MiB 2022/04/28 01:47:11.328, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7856 MiB, 24654 MiB 2022/04/28 01:47:11.329, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7858 MiB, 24652 MiB 2022/04/28 01:47:11.330, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7720 MiB, 24790 MiB 2022/04/28 01:47:11.331, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7794 MiB, 24716 MiB 2022/04/28 01:47:11.333, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7794 MiB, 24716 MiB 2022/04/28 01:47:11.334, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7856 MiB, 24654 MiB 2022/04/28 01:47:11.335, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7856 MiB, 24654 MiB 2022/04/28 01:47:11.336, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7856 MiB, 24654 MiB 2022/04/28 01:47:11.337, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7720 MiB, 24790 MiB 2022/04/28 01:47:11.337, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7856 MiB, 24654 MiB 2022/04/28 01:47:11.338, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7646 MiB, 24864 MiB 2022/04/28 01:47:11.343, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7720 MiB, 24790 MiB 2022/04/28 01:47:11.344, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7720 MiB, 24790 MiB 2022/04/28 01:47:11.345, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7720 MiB, 24790 MiB 2022/04/28 01:47:11.345, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7646 MiB, 24864 MiB 2022/04/28 01:47:11.346, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7720 MiB, 24790 MiB 2022/04/28 01:47:11.347, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7794 MiB, 24716 MiB 2022/04/28 01:47:11.351, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7646 MiB, 24864 MiB 2022/04/28 01:47:11.352, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7646 MiB, 24864 MiB 2022/04/28 01:47:11.353, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7646 MiB, 24864 MiB 2022/04/28 01:47:11.354, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7794 MiB, 24716 MiB 2022/04/28 01:47:11.354, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7646 MiB, 24864 MiB 2022/04/28 01:47:11.359, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7794 MiB, 24716 MiB 2022/04/28 01:47:11.360, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7794 MiB, 24716 MiB 2022/04/28 01:47:11.361, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7794 MiB, 24716 MiB 2022/04/28 01:47:11.362, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7794 MiB, 24716 MiB [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86730, top1: 0.00156, throughput: 372.00 | 2022-04-28 01:48:19.817 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86745, top1: 0.00113, throughput: 371.95 | 2022-04-28 01:48:19.824 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86757, top1: 0.00133, throughput: 371.95 | 2022-04-28 01:48:19.823 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86760, top1: 0.00102, throughput: 371.95 | 2022-04-28 01:48:19.825 [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86772, top1: 0.00098, throughput: 371.95 | 2022-04-28 01:48:19.824 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86757, top1: 0.00148, throughput: 371.95 | 2022-04-28 01:48:19.826 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86739, top1: 0.00098, throughput: 371.95 | 2022-04-28 01:48:19.825 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86735, top1: 0.00125, throughput: 371.95 | 2022-04-28 01:48:19.828 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86736, top1: 0.00133, throughput: 376.10 | 2022-04-28 01:49:27.892 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86723, top1: 0.00148, throughput: 376.09 | 2022-04-28 01:49:27.892 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86732, top1: 0.00117, throughput: 376.09 | 2022-04-28 01:49:27.893 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86758, top1: 0.00117, throughput: 376.05 | 2022-04-28 01:49:27.892 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86743, top1: 0.00145, throughput: 376.09 | 2022-04-28 01:49:27.894 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86735, top1: 0.00137, throughput: 376.09 | 2022-04-28 01:49:27.897 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86758, top1: 0.00117, throughput: 376.08 | 2022-04-28 01:49:27.895 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86729, top1: 0.00156, throughput: 376.09 | 2022-04-28 01:49:27.895