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: 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.1 /usr/lib/x86_64-linux-gnu/libibverbs.so.1 /usr/lib/x86_64-linux-gnu/libibverbs.so.1 W20220412 16:48:18.526031 6896 rpc_client.cpp:190] LoadServer 10.7.220.201 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220412 16:48:18.525786 6890 rpc_client.cpp:190] LoadServer 10.7.220.201 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220412 16:48:18.526021 6893 rpc_client.cpp:190] LoadServer 10.7.220.201 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220412 16:48:18.524909 6892 rpc_client.cpp:190] LoadServer 10.7.220.201 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220412 16:48:18.526067 6895 rpc_client.cpp:190] LoadServer 10.7.220.201 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: 2.72037 s ***** [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86808, lr: 0.000000, top1: 0.00090, throughput: 274.50 | 2022-04-12 16:50:07.016 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86784, lr: 0.000000, top1: 0.00086, throughput: 274.23 | 2022-04-12 16:50:07.017 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86819, lr: 0.000000, top1: 0.00090, throughput: 274.46 | 2022-04-12 16:50:07.032 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86794, lr: 0.000000, top1: 0.00051, throughput: 274.20 | 2022-04-12 16:50:07.034 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86765, lr: 0.000000, top1: 0.00090, throughput: 274.10 | 2022-04-12 16:50:07.045 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86788, lr: 0.000000, top1: 0.00055, throughput: 274.12 | 2022-04-12 16:50:07.060 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86794, lr: 0.000000, top1: 0.00094, throughput: 273.98 | 2022-04-12 16:50:07.078 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86811, lr: 0.000000, top1: 0.00082, throughput: 274.01 | 2022-04-12 16:50:07.105 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] 2022/04/12 16:50:07.197, Tesla V100-SXM2-32GB, 470.57.02, 35 %, 4 %, 32510 MiB, 5134 MiB, 27376 MiB 2022/04/12 16:50:07.198, Tesla V100-SXM2-32GB, 470.57.02, 35 %, 4 %, 32510 MiB, 5134 MiB, 27376 MiB 2022/04/12 16:50:07.205, Tesla V100-SXM2-32GB, 470.57.02, 55 %, 33 %, 32510 MiB, 5154 MiB, 27356 MiB 2022/04/12 16:50:07.207, Tesla V100-SXM2-32GB, 470.57.02, 55 %, 33 %, 32510 MiB, 5154 MiB, 27356 MiB 2022/04/12 16:50:07.213, Tesla V100-SXM2-32GB, 470.57.02, 47 %, 13 %, 32510 MiB, 5230 MiB, 27280 MiB 2022/04/12 16:50:07.214, Tesla V100-SXM2-32GB, 470.57.02, 47 %, 13 %, 32510 MiB, 5230 MiB, 27280 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] 2022/04/12 16:50:07.218, Tesla V100-SXM2-32GB, 470.57.02, 84 %, 43 %, 32510 MiB, 5206 MiB, 27304 MiB 2022/04/12 16:50:07.219, Tesla V100-SXM2-32GB, 470.57.02, 84 %, 43 %, 32510 MiB, 5206 MiB, 27304 MiB 2022/04/12 16:50:07.219, Tesla V100-SXM2-32GB, 470.57.02, 35 %, 4 %, 32510 MiB, 5134 MiB, 27376 MiB 2022/04/12 16:50:07.223, Tesla V100-SXM2-32GB, 470.57.02, 35 %, 4 %, 32510 MiB, 5134 MiB, 27376 MiB 2022/04/12 16:50:07.224, Tesla V100-SXM2-32GB, 470.57.02, 31 %, 5 %, 32510 MiB, 5214 MiB, 27296 MiB 2022/04/12 16:50:07.226, Tesla V100-SXM2-32GB, 470.57.02, 31 %, 5 %, 32510 MiB, 5214 MiB, 27296 MiB 2022/04/12 16:50:07.228, Tesla V100-SXM2-32GB, 470.57.02, 58 %, 14 %, 32510 MiB, 5154 MiB, 27356 MiB 2022/04/12 16:50:07.231, Tesla V100-SXM2-32GB, 470.57.02, 58 %, 14 %, 32510 MiB, 5154 MiB, 27356 MiB 2022/04/12 16:50:07.232, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 55 %, 32510 MiB, 5146 MiB, 27364 MiB 2022/04/12 16:50:07.233, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 55 %, 32510 MiB, 5146 MiB, 27364 MiB 2022/04/12 16:50:07.234, Tesla V100-SXM2-32GB, 470.57.02, 47 %, 13 %, 32510 MiB, 5230 MiB, 27280 MiB 2022/04/12 16:50:07.238, Tesla V100-SXM2-32GB, 470.57.02, 47 %, 13 %, 32510 MiB, 5230 MiB, 27280 MiB 2022/04/12 16:50:07.238, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 5090 MiB, 27420 MiB 2022/04/12 16:50:07.240, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 5090 MiB, 27420 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/12 16:50:07.241, Tesla V100-SXM2-32GB, 470.57.02, 84 %, 43 %, 32510 MiB, 5206 MiB, 27304 MiB 2022/04/12 16:50:07.245, Tesla V100-SXM2-32GB, 470.57.02, 84 %, 43 %, 32510 MiB, 5206 MiB, 27304 MiB 2022/04/12 16:50:07.246, Tesla V100-SXM2-32GB, 470.57.02, 17 %, 8 %, 32510 MiB, 5170 MiB, 27340 MiB 2022/04/12 16:50:07.247, Tesla V100-SXM2-32GB, 470.57.02, 17 %, 8 %, 32510 MiB, 5170 MiB, 27340 MiB 2022/04/12 16:50:07.248, Tesla V100-SXM2-32GB, 470.57.02, 31 %, 5 %, 32510 MiB, 5214 MiB, 27296 MiB 2022/04/12 16:50:07.248, Tesla V100-SXM2-32GB, 470.57.02, 35 %, 4 %, 32510 MiB, 5134 MiB, 27376 MiB 2022/04/12 16:50:07.252, Tesla V100-SXM2-32GB, 470.57.02, 31 %, 5 %, 32510 MiB, 5214 MiB, 27296 MiB 2022/04/12 16:50:07.255, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 55 %, 32510 MiB, 5146 MiB, 27364 MiB 2022/04/12 16:50:07.256, Tesla V100-SXM2-32GB, 470.57.02, 58 %, 14 %, 32510 MiB, 5154 MiB, 27356 MiB 2022/04/12 16:50:07.259, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 55 %, 32510 MiB, 5146 MiB, 27364 MiB 2022/04/12 16:50:07.268, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 5090 MiB, 27420 MiB 2022/04/12 16:50:07.268, Tesla V100-SXM2-32GB, 470.57.02, 92 %, 73 %, 32510 MiB, 5230 MiB, 27280 MiB 2022/04/12 16:50:07.272, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 5090 MiB, 27420 MiB 2022/04/12 16:50:07.280, Tesla V100-SXM2-32GB, 470.57.02, 17 %, 8 %, 32510 MiB, 5170 MiB, 27340 MiB 2022/04/12 16:50:07.282, Tesla V100-SXM2-32GB, 470.57.02, 84 %, 43 %, 32510 MiB, 5206 MiB, 27304 MiB 2022/04/12 16:50:07.286, Tesla V100-SXM2-32GB, 470.57.02, 17 %, 8 %, 32510 MiB, 5170 MiB, 27340 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/12 16:50:07.289, Tesla V100-SXM2-32GB, 470.57.02, 31 %, 5 %, 32510 MiB, 5214 MiB, 27296 MiB 2022/04/12 16:50:07.317, Tesla V100-SXM2-32GB, 470.57.02, 92 %, 78 %, 32510 MiB, 5134 MiB, 27376 MiB 2022/04/12 16:50:07.318, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 55 %, 32510 MiB, 5146 MiB, 27364 MiB 2022/04/12 16:50:07.357, Tesla V100-SXM2-32GB, 470.57.02, 58 %, 14 %, 32510 MiB, 5154 MiB, 27356 MiB 2022/04/12 16:50:07.357, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 5090 MiB, 27420 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/12 16:50:07.378, Tesla V100-SXM2-32GB, 470.57.02, 92 %, 71 %, 32510 MiB, 5230 MiB, 27280 MiB 2022/04/12 16:50:07.382, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5170 MiB, 27340 MiB 2022/04/12 16:50:07.405, Tesla V100-SXM2-32GB, 470.57.02, 92 %, 78 %, 32510 MiB, 5134 MiB, 27376 MiB 2022/04/12 16:50:07.423, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 78 %, 32510 MiB, 5206 MiB, 27304 MiB 2022/04/12 16:50:07.437, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 5154 MiB, 27356 MiB 2022/04/12 16:50:07.438, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 5214 MiB, 27296 MiB 2022/04/12 16:50:07.443, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 64 %, 32510 MiB, 5230 MiB, 27280 MiB 2022/04/12 16:50:07.446, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 74 %, 32510 MiB, 5146 MiB, 27364 MiB 2022/04/12 16:50:07.471, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 78 %, 32510 MiB, 5206 MiB, 27304 MiB 2022/04/12 16:50:07.474, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 71 %, 32510 MiB, 5090 MiB, 27420 MiB 2022/04/12 16:50:07.477, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 5214 MiB, 27296 MiB 2022/04/12 16:50:07.482, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5170 MiB, 27340 MiB 2022/04/12 16:50:07.494, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 74 %, 32510 MiB, 5146 MiB, 27364 MiB 2022/04/12 16:50:07.498, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 71 %, 32510 MiB, 5090 MiB, 27420 MiB 2022/04/12 16:50:07.502, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 5170 MiB, 27340 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/12 16:50:07.531, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 5134 MiB, 27376 MiB 2022/04/12 16:50:07.533, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 5154 MiB, 27356 MiB 2022/04/12 16:50:07.535, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 64 %, 32510 MiB, 5230 MiB, 27280 MiB 2022/04/12 16:50:07.537, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 78 %, 32510 MiB, 5206 MiB, 27304 MiB 2022/04/12 16:50:07.539, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 5214 MiB, 27296 MiB 2022/04/12 16:50:07.541, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 74 %, 32510 MiB, 5146 MiB, 27364 MiB 2022/04/12 16:50:07.542, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 71 %, 32510 MiB, 5090 MiB, 27420 MiB 2022/04/12 16:50:07.551, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 5170 MiB, 27340 MiB [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86787, lr: 0.000000, top1: 0.00094, throughput: 295.30 | 2022-04-12 16:51:33.736 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86774, lr: 0.000000, top1: 0.00070, throughput: 295.47 | 2022-04-12 16:51:33.745 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86773, lr: 0.000000, top1: 0.00090, throughput: 295.19 | 2022-04-12 16:51:33.759 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86801, lr: 0.000000, top1: 0.00074, throughput: 295.26 | 2022-04-12 16:51:33.764 [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86784, lr: 0.000000, top1: 0.00090, throughput: 295.10 | 2022-04-12 16:51:33.767 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86786, lr: 0.000000, top1: 0.00066, throughput: 295.04 | 2022-04-12 16:51:33.802 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86765, lr: 0.000000, top1: 0.00070, throughput: 295.15 | 2022-04-12 16:51:33.814 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86808, lr: 0.000000, top1: 0.00086, throughput: 294.88 | 2022-04-12 16:51:33.833 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86787, lr: 0.000000, top1: 0.00086, throughput: 295.65 | 2022-04-12 16:53:00.392 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86816, lr: 0.000000, top1: 0.00078, throughput: 295.40 | 2022-04-12 16:53:00.408 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86795, lr: 0.000000, top1: 0.00066, throughput: 295.41 | 2022-04-12 16:53:00.418 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86784, lr: 0.000000, top1: 0.00082, throughput: 295.33 | 2022-04-12 16:53:00.420 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86810, lr: 0.000000, top1: 0.00051, throughput: 295.56 | 2022-04-12 16:53:00.430 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86801, lr: 0.000000, top1: 0.00098, throughput: 295.35 | 2022-04-12 16:53:00.440 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86814, lr: 0.000000, top1: 0.00082, throughput: 295.54 | 2022-04-12 16:53:00.453 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86782, lr: 0.000000, top1: 0.00043, throughput: 295.24 | 2022-04-12 16:53:00.475