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: /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 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 W20220523 09:42:06.655210 2038 rpc_client.cpp:190] LoadServer 10.7.240.197 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: 3.07823 s ***** [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86780, top1: 0.00082, throughput: 260.40 | 2022-05-23 09:44:00.302 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86810, top1: 0.00082, throughput: 260.40 | 2022-05-23 09:44:00.301 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86772, top1: 0.00098, throughput: 260.41 | 2022-05-23 09:44:00.306 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86778, top1: 0.00070, throughput: 260.41 | 2022-05-23 09:44:00.303 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86777, top1: 0.00113, throughput: 260.39 | 2022-05-23 09:44:00.304 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86781, top1: 0.00098, throughput: 260.40 | 2022-05-23 09:44:00.304 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86765, top1: 0.00117, throughput: 260.41 | 2022-05-23 09:44:00.303 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86784, top1: 0.00082, throughput: 260.41 | 2022-05-23 09:44:00.304 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/23 09:44:00.582, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7809 MiB, 24701 MiB 2022/05/23 09:44:00.590, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7728 MiB, 24782 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/23 09:44:00.596, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7836 MiB, 24674 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/23 09:44:00.596, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7809 MiB, 24701 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] timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/23 09:44:00.599, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7806 MiB, 24704 MiB 2022/05/23 09:44:00.599, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7809 MiB, 24701 MiB 2022/05/23 09:44:00.601, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7728 MiB, 24782 MiB 2022/05/23 09:44:00.601, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7809 MiB, 24701 MiB 2022/05/23 09:44:00.602, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7809 MiB, 24701 MiB 2022/05/23 09:44:00.602, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7809 MiB, 24701 MiB 2022/05/23 09:44:00.603, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7809 MiB, 24701 MiB 2022/05/23 09:44:00.604, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7809 MiB, 24701 MiB 2022/05/23 09:44:00.607, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7874 MiB, 24636 MiB 2022/05/23 09:44:00.608, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7728 MiB, 24782 MiB 2022/05/23 09:44:00.609, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7836 MiB, 24674 MiB 2022/05/23 09:44:00.609, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7728 MiB, 24782 MiB 2022/05/23 09:44:00.610, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7728 MiB, 24782 MiB 2022/05/23 09:44:00.610, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7728 MiB, 24782 MiB 2022/05/23 09:44:00.611, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7728 MiB, 24782 MiB 2022/05/23 09:44:00.612, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7728 MiB, 24782 MiB 2022/05/23 09:44:00.614, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7756 MiB, 24754 MiB 2022/05/23 09:44:00.615, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7836 MiB, 24674 MiB 2022/05/23 09:44:00.616, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7806 MiB, 24704 MiB 2022/05/23 09:44:00.617, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7836 MiB, 24674 MiB 2022/05/23 09:44:00.618, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7836 MiB, 24674 MiB 2022/05/23 09:44:00.618, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7836 MiB, 24674 MiB 2022/05/23 09:44:00.618, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7836 MiB, 24674 MiB 2022/05/23 09:44:00.619, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7836 MiB, 24674 MiB 2022/05/23 09:44:00.621, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7610 MiB, 24900 MiB 2022/05/23 09:44:00.626, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7806 MiB, 24704 MiB 2022/05/23 09:44:00.627, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7874 MiB, 24636 MiB 2022/05/23 09:44:00.628, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7806 MiB, 24704 MiB 2022/05/23 09:44:00.629, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7806 MiB, 24704 MiB 2022/05/23 09:44:00.629, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7806 MiB, 24704 MiB 2022/05/23 09:44:00.630, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7806 MiB, 24704 MiB 2022/05/23 09:44:00.631, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7806 MiB, 24704 MiB 2022/05/23 09:44:00.633, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7756 MiB, 24754 MiB 2022/05/23 09:44:00.635, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7874 MiB, 24636 MiB 2022/05/23 09:44:00.635, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7756 MiB, 24754 MiB 2022/05/23 09:44:00.636, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7874 MiB, 24636 MiB 2022/05/23 09:44:00.637, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7874 MiB, 24636 MiB 2022/05/23 09:44:00.637, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7874 MiB, 24636 MiB 2022/05/23 09:44:00.638, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7874 MiB, 24636 MiB 2022/05/23 09:44:00.639, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7874 MiB, 24636 MiB 2022/05/23 09:44:00.643, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7756 MiB, 24754 MiB 2022/05/23 09:44:00.644, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7610 MiB, 24900 MiB 2022/05/23 09:44:00.644, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7756 MiB, 24754 MiB 2022/05/23 09:44:00.645, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7756 MiB, 24754 MiB 2022/05/23 09:44:00.646, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7756 MiB, 24754 MiB 2022/05/23 09:44:00.646, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7756 MiB, 24754 MiB 2022/05/23 09:44:00.647, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7756 MiB, 24754 MiB 2022/05/23 09:44:00.651, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7610 MiB, 24900 MiB 2022/05/23 09:44:00.652, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7756 MiB, 24754 MiB 2022/05/23 09:44:00.652, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7610 MiB, 24900 MiB 2022/05/23 09:44:00.653, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7610 MiB, 24900 MiB 2022/05/23 09:44:00.654, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7610 MiB, 24900 MiB 2022/05/23 09:44:00.655, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7610 MiB, 24900 MiB 2022/05/23 09:44:00.655, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7610 MiB, 24900 MiB 2022/05/23 09:44:00.659, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7756 MiB, 24754 MiB 2022/05/23 09:44:00.661, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7756 MiB, 24754 MiB 2022/05/23 09:44:00.662, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7756 MiB, 24754 MiB 2022/05/23 09:44:00.662, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7756 MiB, 24754 MiB 2022/05/23 09:44:00.663, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7756 MiB, 24754 MiB 2022/05/23 09:44:00.664, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7756 MiB, 24754 MiB [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86780, top1: 0.00078, throughput: 367.80 | 2022-05-23 09:45:09.906 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86820, top1: 0.00051, throughput: 367.81 | 2022-05-23 09:45:09.907 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86798, top1: 0.00078, throughput: 367.81 | 2022-05-23 09:45:09.905 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86786, top1: 0.00086, throughput: 367.81 | 2022-05-23 09:45:09.905 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86719, top1: 0.00055, throughput: 367.79 | 2022-05-23 09:45:09.905 [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86805, top1: 0.00098, throughput: 367.81 | 2022-05-23 09:45:09.906 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86754, top1: 0.00078, throughput: 367.80 | 2022-05-23 09:45:09.906 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86790, top1: 0.00070, throughput: 367.80 | 2022-05-23 09:45:09.906 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86789, top1: 0.00070, throughput: 375.90 | 2022-05-23 09:46:18.008 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86809, top1: 0.00094, throughput: 375.90 | 2022-05-23 09:46:18.008 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86796, top1: 0.00105, throughput: 375.90 | 2022-05-23 09:46:18.009 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86801, top1: 0.00094, throughput: 375.90 | 2022-05-23 09:46:18.009 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86775, top1: 0.00113, throughput: 375.90 | 2022-05-23 09:46:18.009 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86785, top1: 0.00113, throughput: 375.90 | 2022-05-23 09:46:18.009 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86745, top1: 0.00070, throughput: 375.90 | 2022-05-23 09:46:18.011 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86803, top1: 0.00098, throughput: 375.90 | 2022-05-23 09:46:18.009