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: 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/usr/lib/x86_64-linux-gnu/libibverbs.so.1loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 /usr/lib/x86_64-linux-gnu/libibverbs.so.1 W20220509 22:51:39.184334 6894 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 ............................................. True exit_num ........................................ 300 fuse_bn_add_relu ................................ False fuse_bn_relu .................................... False gpu_stat_file ................................... None grad_clipping ................................... 0.0 graph ........................................... False 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 ...................................... False 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: 2.81313 s ***** [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86779, lr: 0.000000, top1: 0.00062, throughput: 277.02 | 2022-05-09 22:53:26.708 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86772, lr: 0.000000, top1: 0.00109, throughput: 277.11 | 2022-05-09 22:53:26.729 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86818, lr: 0.000000, top1: 0.00102, throughput: 277.13 | 2022-05-09 22:53:26.738 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86822, lr: 0.000000, top1: 0.00070, throughput: 277.06 | 2022-05-09 22:53:26.740 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86766, lr: 0.000000, top1: 0.00105, throughput: 277.02 | 2022-05-09 22:53:26.745 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86801, lr: 0.000000, top1: 0.00125, throughput: 277.11 | 2022-05-09 22:53:26.746 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86791, lr: 0.000000, top1: 0.00117, throughput: 277.21 | 2022-05-09 22:53:26.661 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86793, lr: 0.000000, top1: 0.00105, throughput: 277.22 | 2022-05-09 22:53:26.775 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/09 22:53:26.921, Tesla V100-SXM2-32GB, 470.57.02, 31 %, 9 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/09 22:53:26.929, Tesla V100-SXM2-32GB, 470.57.02, 42 %, 13 %, 32510 MiB, 5114 MiB, 27396 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/09 22:53:26.934, Tesla V100-SXM2-32GB, 470.57.02, 70 %, 41 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/05/09 22:53:26.937, Tesla V100-SXM2-32GB, 470.57.02, 65 %, 50 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/09 22:53:26.940, Tesla V100-SXM2-32GB, 470.57.02, 50 %, 3 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/09 22:53:26.944, Tesla V100-SXM2-32GB, 470.57.02, 84 %, 69 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/09 22:53:26.946, Tesla V100-SXM2-32GB, 470.57.02, 56 %, 48 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/05/09 22:53:26.951, Tesla V100-SXM2-32GB, 470.57.02, 70 %, 41 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/05/09 22:53:26.953, Tesla V100-SXM2-32GB, 470.57.02, 45 %, 24 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/09 22:53:26.957, Tesla V100-SXM2-32GB, 470.57.02, 50 %, 3 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/09 22:53:26.959, Tesla V100-SXM2-32GB, 470.57.02, 56 %, 49 %, 32510 MiB, 5050 MiB, 27460 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 22:53:26.964, Tesla V100-SXM2-32GB, 470.57.02, 56 %, 48 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/05/09 22:53:26.966, Tesla V100-SXM2-32GB, 470.57.02, 65 %, 35 %, 32510 MiB, 5130 MiB, 27380 MiB 2022/05/09 22:53:26.973, Tesla V100-SXM2-32GB, 470.57.02, 65 %, 50 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/09 22:53:26.973, Tesla V100-SXM2-32GB, 470.57.02, 65 %, 50 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/09 22:53:26.976, Tesla V100-SXM2-32GB, 470.57.02, 45 %, 24 %, 32510 MiB, 5106 MiB, 27404 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 22:53:26.982, Tesla V100-SXM2-32GB, 470.57.02, 84 %, 69 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/09 22:53:26.982, Tesla V100-SXM2-32GB, 470.57.02, 84 %, 69 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/09 22:53:26.984, Tesla V100-SXM2-32GB, 470.57.02, 56 %, 49 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/05/09 22:53:26.999, Tesla V100-SXM2-32GB, 470.57.02, 65 %, 50 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/09 22:53:26.999, Tesla V100-SXM2-32GB, 470.57.02, 65 %, 50 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/09 22:53:27.002, Tesla V100-SXM2-32GB, 470.57.02, 70 %, 41 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/05/09 22:53:27.002, Tesla V100-SXM2-32GB, 470.57.02, 70 %, 41 %, 32510 MiB, 5190 MiB, 27320 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/09 22:53:27.005, Tesla V100-SXM2-32GB, 470.57.02, 65 %, 34 %, 32510 MiB, 5130 MiB, 27380 MiB 2022/05/09 22:53:27.020, Tesla V100-SXM2-32GB, 470.57.02, 84 %, 68 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/09 22:53:27.021, Tesla V100-SXM2-32GB, 470.57.02, 84 %, 68 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/09 22:53:27.022, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/09 22:53:27.023, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/09 22:53:27.042, Tesla V100-SXM2-32GB, 470.57.02, 65 %, 48 %, 32510 MiB, 5094 MiB, 27416 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/09 22:53:27.082, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 79 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/05/09 22:53:27.082, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 79 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/05/09 22:53:27.086, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/05/09 22:53:27.089, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/05/09 22:53:27.103, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 68 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/09 22:53:27.122, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/09 22:53:27.121, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 76 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/09 22:53:27.122, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/09 22:53:27.126, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/09 22:53:27.129, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/09 22:53:27.138, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 79 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/05/09 22:53:27.141, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/05/09 22:53:27.141, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 68 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/09 22:53:27.141, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/05/09 22:53:27.143, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/05/09 22:53:27.143, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/05/09 22:53:27.146, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 53 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/09 22:53:27.152, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/09 22:53:27.152, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 79 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/05/09 22:53:27.153, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/09 22:53:27.163, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 80 %, 32510 MiB, 5130 MiB, 27380 MiB 2022/05/09 22:53:27.164, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 80 %, 32510 MiB, 5130 MiB, 27380 MiB 2022/05/09 22:53:27.171, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/05/09 22:53:27.178, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/05/09 22:53:27.178, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 53 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/09 22:53:27.178, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/05/09 22:53:27.184, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/09 22:53:27.186, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 80 %, 32510 MiB, 5130 MiB, 27380 MiB 2022/05/09 22:53:27.187, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/05/09 22:53:27.187, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 80 %, 32510 MiB, 5130 MiB, 27380 MiB 2022/05/09 22:53:27.197, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/05/09 22:53:27.200, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/09 22:53:27.203, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 80 %, 32510 MiB, 5130 MiB, 27380 MiB 2022/05/09 22:53:27.206, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/05/09 22:53:27.212, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 80 %, 32510 MiB, 5130 MiB, 27380 MiB [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86789, lr: 0.000000, top1: 0.00125, throughput: 294.86 | 2022-05-09 22:54:53.564 [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86782, lr: 0.000000, top1: 0.00098, throughput: 294.92 | 2022-05-09 22:54:53.579 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86789, lr: 0.000000, top1: 0.00117, throughput: 294.59 | 2022-05-09 22:54:53.609 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86795, lr: 0.000000, top1: 0.00090, throughput: 294.68 | 2022-05-09 22:54:53.613 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86800, lr: 0.000000, top1: 0.00066, throughput: 294.67 | 2022-05-09 22:54:53.624 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86800, lr: 0.000000, top1: 0.00059, throughput: 294.64 | 2022-05-09 22:54:53.548 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86792, lr: 0.000000, top1: 0.00066, throughput: 294.50 | 2022-05-09 22:54:53.655 [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86806, lr: 0.000000, top1: 0.00062, throughput: 294.87 | 2022-05-09 22:54:53.559 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86823, lr: 0.000000, top1: 0.00086, throughput: 294.97 | 2022-05-09 22:56:20.368 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86783, lr: 0.000000, top1: 0.00086, throughput: 294.86 | 2022-05-09 22:56:20.380 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86763, lr: 0.000000, top1: 0.00074, throughput: 295.06 | 2022-05-09 22:56:20.386 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86790, lr: 0.000000, top1: 0.00129, throughput: 294.70 | 2022-05-09 22:56:20.415 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86799, lr: 0.000000, top1: 0.00113, throughput: 294.68 | 2022-05-09 22:56:20.437 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86763, lr: 0.000000, top1: 0.00070, throughput: 294.76 | 2022-05-09 22:56:20.460 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86793, lr: 0.000000, top1: 0.00133, throughput: 294.71 | 2022-05-09 22:56:20.478 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86822, lr: 0.000000, top1: 0.00070, throughput: 294.80 | 2022-05-09 22:56:20.494