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 W20220509 22:47:28.086045 5270 rpc_client.cpp:190] LoadServer 10.7.151.6 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220509 22:47:28.086050 5268 rpc_client.cpp:190] LoadServer 10.7.151.6 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220509 22:47:28.086161 5269 rpc_client.cpp:190] LoadServer 10.7.151.6 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 .................................. 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: 3.11849 s ***** [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86705, top1: 0.00121, throughput: 277.61 | 2022-05-09 22:49:15.687 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86685, top1: 0.00145, throughput: 277.58 | 2022-05-09 22:49:15.688 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86689, top1: 0.00203, throughput: 277.55 | 2022-05-09 22:49:15.699 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86744, top1: 0.00145, throughput: 277.54 | 2022-05-09 22:49:15.699 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86722, top1: 0.00129, throughput: 277.57 | 2022-05-09 22:49:15.697 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86715, top1: 0.00180, throughput: 277.56 | 2022-05-09 22:49:15.697 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86722, top1: 0.00129, throughput: 277.53 | 2022-05-09 22:49:15.703 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86724, top1: 0.00145, throughput: 277.56 | 2022-05-09 22:49:15.702 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] 2022/05/09 22:49:16.008, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8450 MiB, 24060 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/09 22:49:16.016, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8460 MiB, 24050 MiB 2022/05/09 22:49:16.016, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8450 MiB, 24060 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/09 22:49:16.018, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8450 MiB, 24060 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/09 22:49:16.023, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8640 MiB, 23870 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] 2022/05/09 22:49:16.024, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8460 MiB, 24050 MiB 2022/05/09 22:49:16.024, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8450 MiB, 24060 MiB 2022/05/09 22:49:16.026, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8460 MiB, 24050 MiB 2022/05/09 22:49:16.026, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8450 MiB, 24060 MiB 2022/05/09 22:49:16.035, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8588 MiB, 23922 MiB 2022/05/09 22:49:16.035, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8640 MiB, 23870 MiB 2022/05/09 22:49:16.035, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8450 MiB, 24060 MiB 2022/05/09 22:49:16.035, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8450 MiB, 24060 MiB 2022/05/09 22:49:16.035, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8450 MiB, 24060 MiB 2022/05/09 22:49:16.041, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8460 MiB, 24050 MiB 2022/05/09 22:49:16.042, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8640 MiB, 23870 MiB 2022/05/09 22:49:16.044, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8460 MiB, 24050 MiB 2022/05/09 22:49:16.048, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8576 MiB, 23934 MiB 2022/05/09 22:49:16.049, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8588 MiB, 23922 MiB 2022/05/09 22:49:16.049, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8460 MiB, 24050 MiB 2022/05/09 22:49:16.049, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8460 MiB, 24050 MiB 2022/05/09 22:49:16.050, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8460 MiB, 24050 MiB 2022/05/09 22:49:16.051, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8640 MiB, 23870 MiB 2022/05/09 22:49:16.051, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8588 MiB, 23922 MiB 2022/05/09 22:49:16.053, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8640 MiB, 23870 MiB 2022/05/09 22:49:16.057, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8494 MiB, 24016 MiB 2022/05/09 22:49:16.058, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8576 MiB, 23934 MiB 2022/05/09 22:49:16.058, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8640 MiB, 23870 MiB 2022/05/09 22:49:16.058, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8640 MiB, 23870 MiB 2022/05/09 22:49:16.059, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8640 MiB, 23870 MiB 2022/05/09 22:49:16.059, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8588 MiB, 23922 MiB 2022/05/09 22:49:16.060, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8576 MiB, 23934 MiB 2022/05/09 22:49:16.062, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8588 MiB, 23922 MiB 2022/05/09 22:49:16.066, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8384 MiB, 24126 MiB 2022/05/09 22:49:16.067, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8494 MiB, 24016 MiB 2022/05/09 22:49:16.067, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8588 MiB, 23922 MiB 2022/05/09 22:49:16.067, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8588 MiB, 23922 MiB 2022/05/09 22:49:16.068, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8588 MiB, 23922 MiB 2022/05/09 22:49:16.068, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8576 MiB, 23934 MiB 2022/05/09 22:49:16.069, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8494 MiB, 24016 MiB 2022/05/09 22:49:16.071, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8576 MiB, 23934 MiB 2022/05/09 22:49:16.076, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8488 MiB, 24022 MiB 2022/05/09 22:49:16.077, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8384 MiB, 24126 MiB 2022/05/09 22:49:16.077, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8576 MiB, 23934 MiB 2022/05/09 22:49:16.077, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8576 MiB, 23934 MiB 2022/05/09 22:49:16.077, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8576 MiB, 23934 MiB 2022/05/09 22:49:16.078, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8494 MiB, 24016 MiB 2022/05/09 22:49:16.079, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8384 MiB, 24126 MiB 2022/05/09 22:49:16.081, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8494 MiB, 24016 MiB 2022/05/09 22:49:16.086, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8488 MiB, 24022 MiB 2022/05/09 22:49:16.086, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8494 MiB, 24016 MiB 2022/05/09 22:49:16.087, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8494 MiB, 24016 MiB 2022/05/09 22:49:16.087, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8494 MiB, 24016 MiB 2022/05/09 22:49:16.088, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8384 MiB, 24126 MiB 2022/05/09 22:49:16.089, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8488 MiB, 24022 MiB 2022/05/09 22:49:16.090, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8384 MiB, 24126 MiB 2022/05/09 22:49:16.095, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8384 MiB, 24126 MiB 2022/05/09 22:49:16.096, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8384 MiB, 24126 MiB 2022/05/09 22:49:16.096, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8384 MiB, 24126 MiB 2022/05/09 22:49:16.097, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8488 MiB, 24022 MiB 2022/05/09 22:49:16.099, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8488 MiB, 24022 MiB 2022/05/09 22:49:16.104, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8488 MiB, 24022 MiB 2022/05/09 22:49:16.104, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8488 MiB, 24022 MiB 2022/05/09 22:49:16.104, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8488 MiB, 24022 MiB [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86736, top1: 0.00145, throughput: 380.02 | 2022-05-09 22:50:23.064 [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86681, top1: 0.00137, throughput: 379.95 | 2022-05-09 22:50:23.064 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86701, top1: 0.00203, throughput: 380.02 | 2022-05-09 22:50:23.065 [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86713, top1: 0.00145, throughput: 379.96 | 2022-05-09 22:50:23.064 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86706, top1: 0.00133, throughput: 380.00 | 2022-05-09 22:50:23.065 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86723, top1: 0.00117, throughput: 380.00 | 2022-05-09 22:50:23.065 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86690, top1: 0.00152, throughput: 380.03 | 2022-05-09 22:50:23.066 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86702, top1: 0.00148, throughput: 380.02 | 2022-05-09 22:50:23.067 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86699, top1: 0.00117, throughput: 378.05 | 2022-05-09 22:51:30.780 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86709, top1: 0.00094, throughput: 378.01 | 2022-05-09 22:51:30.788 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86724, top1: 0.00168, throughput: 378.01 | 2022-05-09 22:51:30.788 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86704, top1: 0.00145, throughput: 378.01 | 2022-05-09 22:51:30.790 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86742, top1: 0.00129, throughput: 378.01 | 2022-05-09 22:51:30.789 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86706, top1: 0.00148, throughput: 378.01 | 2022-05-09 22:51:30.787 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86703, top1: 0.00137, throughput: 378.01 | 2022-05-09 22:51:30.788 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86727, top1: 0.00129, throughput: 378.00 | 2022-05-09 22:51:30.790