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: /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 W20220522 18:46:15.774614 2040 rpc_client.cpp:190] LoadServer 10.7.18.169 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220522 18:46:15.775849 2041 rpc_client.cpp:190] LoadServer 10.7.18.169 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220522 18:46:15.775835 2039 rpc_client.cpp:190] LoadServer 10.7.18.169 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: 3.18654 s ***** [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86746, top1: 0.00125, throughput: 261.33 | 2022-05-22 18:48:09.197 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86754, top1: 0.00090, throughput: 261.31 | 2022-05-22 18:48:09.197 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86759, top1: 0.00117, throughput: 261.32 | 2022-05-22 18:48:09.198 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86754, top1: 0.00109, throughput: 261.31 | 2022-05-22 18:48:09.199 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86763, top1: 0.00102, throughput: 261.31 | 2022-05-22 18:48:09.202 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86743, top1: 0.00098, throughput: 261.30 | 2022-05-22 18:48:09.200 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86725, top1: 0.00105, throughput: 261.30 | 2022-05-22 18:48:09.200 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86748, top1: 0.00070, throughput: 261.31 | 2022-05-22 18:48:09.200 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] 2022/05/22 18:48:09.516, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7721 MiB, 24789 MiB 2022/05/22 18:48:09.516, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7721 MiB, 24789 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] 2022/05/22 18:48:09.523, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7696 MiB, 24814 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/22 18:48:09.524, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7696 MiB, 24814 MiB 2022/05/22 18:48:09.525, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7721 MiB, 24789 MiB 2022/05/22 18:48:09.526, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7721 MiB, 24789 MiB 2022/05/22 18:48:09.527, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7721 MiB, 24789 MiB 2022/05/22 18:48:09.530, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7721 MiB, 24789 MiB 2022/05/22 18:48:09.531, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7924 MiB, 24586 MiB 2022/05/22 18:48:09.530, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7721 MiB, 24789 MiB 2022/05/22 18:48:09.531, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7924 MiB, 24586 MiB 2022/05/22 18:48:09.531, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7721 MiB, 24789 MiB 2022/05/22 18:48:09.535, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7696 MiB, 24814 MiB 2022/05/22 18:48:09.537, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7696 MiB, 24814 MiB 2022/05/22 18:48:09.538, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7696 MiB, 24814 MiB 2022/05/22 18:48:09.539, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7696 MiB, 24814 MiB 2022/05/22 18:48:09.540, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/05/22 18:48:09.540, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7696 MiB, 24814 MiB 2022/05/22 18:48:09.541, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/05/22 18:48:09.541, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7696 MiB, 24814 MiB 2022/05/22 18:48:09.545, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7924 MiB, 24586 MiB 2022/05/22 18:48:09.547, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7924 MiB, 24586 MiB 2022/05/22 18:48:09.550, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7924 MiB, 24586 MiB 2022/05/22 18:48:09.552, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7924 MiB, 24586 MiB 2022/05/22 18:48:09.552, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7826 MiB, 24684 MiB 2022/05/22 18:48:09.552, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7924 MiB, 24586 MiB 2022/05/22 18:48:09.553, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7826 MiB, 24684 MiB 2022/05/22 18:48:09.553, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7924 MiB, 24586 MiB 2022/05/22 18:48:09.557, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/05/22 18:48:09.559, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/05/22 18:48:09.560, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/05/22 18:48:09.561, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/05/22 18:48:09.561, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7676 MiB, 24834 MiB 2022/05/22 18:48:09.562, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/05/22 18:48:09.562, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7676 MiB, 24834 MiB 2022/05/22 18:48:09.563, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/05/22 18:48:09.566, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7826 MiB, 24684 MiB 2022/05/22 18:48:09.570, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7826 MiB, 24684 MiB 2022/05/22 18:48:09.572, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7826 MiB, 24684 MiB 2022/05/22 18:48:09.573, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7826 MiB, 24684 MiB 2022/05/22 18:48:09.573, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7598 MiB, 24912 MiB 2022/05/22 18:48:09.574, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7826 MiB, 24684 MiB 2022/05/22 18:48:09.574, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7598 MiB, 24912 MiB 2022/05/22 18:48:09.575, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 51 %, 32510 MiB, 7826 MiB, 24684 MiB 2022/05/22 18:48:09.578, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7676 MiB, 24834 MiB 2022/05/22 18:48:09.580, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7676 MiB, 24834 MiB 2022/05/22 18:48:09.581, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7676 MiB, 24834 MiB 2022/05/22 18:48:09.582, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7676 MiB, 24834 MiB 2022/05/22 18:48:09.583, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 53 %, 32510 MiB, 7764 MiB, 24746 MiB 2022/05/22 18:48:09.583, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7676 MiB, 24834 MiB 2022/05/22 18:48:09.584, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 53 %, 32510 MiB, 7764 MiB, 24746 MiB 2022/05/22 18:48:09.584, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7676 MiB, 24834 MiB 2022/05/22 18:48:09.590, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7598 MiB, 24912 MiB 2022/05/22 18:48:09.592, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7598 MiB, 24912 MiB 2022/05/22 18:48:09.593, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7598 MiB, 24912 MiB 2022/05/22 18:48:09.594, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7598 MiB, 24912 MiB 2022/05/22 18:48:09.596, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7598 MiB, 24912 MiB 2022/05/22 18:48:09.597, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7598 MiB, 24912 MiB 2022/05/22 18:48:09.600, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 53 %, 32510 MiB, 7764 MiB, 24746 MiB 2022/05/22 18:48:09.602, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 53 %, 32510 MiB, 7764 MiB, 24746 MiB 2022/05/22 18:48:09.603, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 53 %, 32510 MiB, 7764 MiB, 24746 MiB 2022/05/22 18:48:09.604, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 53 %, 32510 MiB, 7764 MiB, 24746 MiB 2022/05/22 18:48:09.605, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 53 %, 32510 MiB, 7764 MiB, 24746 MiB 2022/05/22 18:48:09.605, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 53 %, 32510 MiB, 7764 MiB, 24746 MiB [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86748, top1: 0.00078, throughput: 375.24 | 2022-05-22 18:49:17.420 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86740, top1: 0.00094, throughput: 375.24 | 2022-05-22 18:49:17.421 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86729, top1: 0.00105, throughput: 375.24 | 2022-05-22 18:49:17.422 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86748, top1: 0.00066, throughput: 375.24 | 2022-05-22 18:49:17.422 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86777, top1: 0.00082, throughput: 375.24 | 2022-05-22 18:49:17.424 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86742, top1: 0.00078, throughput: 375.24 | 2022-05-22 18:49:17.422 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86758, top1: 0.00070, throughput: 375.23 | 2022-05-22 18:49:17.422 [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86769, top1: 0.00125, throughput: 375.24 | 2022-05-22 18:49:17.423 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86731, top1: 0.00094, throughput: 376.81 | 2022-05-22 18:50:25.361 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86751, top1: 0.00086, throughput: 376.80 | 2022-05-22 18:50:25.364 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86744, top1: 0.00105, throughput: 376.76 | 2022-05-22 18:50:25.369 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86731, top1: 0.00070, throughput: 376.75 | 2022-05-22 18:50:25.369 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86737, top1: 0.00074, throughput: 376.76 | 2022-05-22 18:50:25.370 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86724, top1: 0.00055, throughput: 376.76 | 2022-05-22 18:50:25.369 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86756, top1: 0.00117, throughput: 376.76 | 2022-05-22 18:50:25.369 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86768, top1: 0.00094, throughput: 376.76 | 2022-05-22 18:50:25.371