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: /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: 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 W20220516 07:07:58.073269 3705 rpc_client.cpp:190] LoadServer 10.7.164.224 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220516 07:07:58.081360 3708 rpc_client.cpp:190] LoadServer 10.7.164.224 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220516 07:07:58.082571 3707 rpc_client.cpp:190] LoadServer 10.7.164.224 Failed at 0 times error_code 14 error_message failed to connect to all addresses ------------------------ arguments ------------------------ batches_per_epoch ............................... 312 channel_last .................................... True 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 ................................... 4.096 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 ................................ 512 train_global_batch_size ......................... 4096 use_fp16 ........................................ True 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: 3.12857 s ***** [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86732, top1: 0.00061, throughput: 454.39 | 2022-05-16 07:10:06.340 [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86726, top1: 0.00102, throughput: 454.39 | 2022-05-16 07:10:06.340 [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86713, top1: 0.00086, throughput: 454.38 | 2022-05-16 07:10:06.343 [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86716, top1: 0.00088, throughput: 454.39 | 2022-05-16 07:10:06.344 [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86716, top1: 0.00078, throughput: 454.38 | 2022-05-16 07:10:06.340 [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86712, top1: 0.00086, throughput: 454.39 | 2022-05-16 07:10:06.344 [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86725, top1: 0.00082, throughput: 454.38 | 2022-05-16 07:10:06.342 [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86710, top1: 0.00088, throughput: 454.39 | 2022-05-16 07:10:06.344 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/16 07:10:06.628, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/16 07:10:06.635, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/16 07:10:06.639, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 56 %, 32510 MiB, 8742 MiB, 23768 MiB 2022/05/16 07:10:06.645, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/05/16 07:10:06.652, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 80 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/16 07:10:06.659, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8554 MiB, 23956 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/16 07:10:06.664, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 8442 MiB, 24068 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] 2022/05/16 07:10:06.668, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/16 07:10:06.671, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 57 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/16 07:10:06.672, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/16 07:10:06.673, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/16 07:10:06.676, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8550 MiB, 23960 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/16 07:10:06.681, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/16 07:10:06.682, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8550 MiB, 23960 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] 2022/05/16 07:10:06.684, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 56 %, 32510 MiB, 8742 MiB, 23768 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/16 07:10:06.686, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/16 07:10:06.687, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 56 %, 32510 MiB, 8742 MiB, 23768 MiB 2022/05/16 07:10:06.688, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 56 %, 32510 MiB, 8742 MiB, 23768 MiB 2022/05/16 07:10:06.689, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/16 07:10:06.690, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/05/16 07:10:06.690, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/16 07:10:06.691, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/16 07:10:06.694, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/16 07:10:06.694, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/05/16 07:10:06.696, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/05/16 07:10:06.697, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/16 07:10:06.698, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 80 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/16 07:10:06.698, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/16 07:10:06.699, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/16 07:10:06.702, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 56 %, 32510 MiB, 8742 MiB, 23768 MiB 2022/05/16 07:10:06.702, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 80 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/16 07:10:06.703, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 80 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/16 07:10:06.705, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 56 %, 32510 MiB, 8742 MiB, 23768 MiB 2022/05/16 07:10:06.705, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/16 07:10:06.710, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 56 %, 32510 MiB, 8742 MiB, 23768 MiB 2022/05/16 07:10:06.711, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 56 %, 32510 MiB, 8742 MiB, 23768 MiB 2022/05/16 07:10:06.713, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/05/16 07:10:06.714, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/16 07:10:06.715, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/16 07:10:06.717, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/05/16 07:10:06.718, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 91 %, 32510 MiB, 8442 MiB, 24068 MiB 2022/05/16 07:10:06.719, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/05/16 07:10:06.720, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/05/16 07:10:06.722, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/16 07:10:06.722, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 91 %, 32510 MiB, 8442 MiB, 24068 MiB 2022/05/16 07:10:06.723, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 91 %, 32510 MiB, 8442 MiB, 24068 MiB 2022/05/16 07:10:06.729, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/16 07:10:06.729, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 57 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/16 07:10:06.730, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/16 07:10:06.730, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/16 07:10:06.732, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/16 07:10:06.733, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 57 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/16 07:10:06.733, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 57 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/16 07:10:06.735, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/16 07:10:06.736, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/16 07:10:06.736, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/16 07:10:06.738, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 91 %, 32510 MiB, 8442 MiB, 24068 MiB 2022/05/16 07:10:06.740, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 91 %, 32510 MiB, 8442 MiB, 24068 MiB 2022/05/16 07:10:06.741, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 91 %, 32510 MiB, 8442 MiB, 24068 MiB 2022/05/16 07:10:06.742, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 91 %, 32510 MiB, 8442 MiB, 24068 MiB 2022/05/16 07:10:06.759, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 73 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/16 07:10:06.761, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 73 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/16 07:10:06.762, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 73 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/16 07:10:06.762, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 73 %, 32510 MiB, 8602 MiB, 23908 MiB [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86740, top1: 0.00096, throughput: 1349.29 | 2022-05-16 07:10:44.286 [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86709, top1: 0.00078, throughput: 1349.34 | 2022-05-16 07:10:44.286 [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86732, top1: 0.00094, throughput: 1349.29 | 2022-05-16 07:10:44.286 [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86696, top1: 0.00086, throughput: 1349.34 | 2022-05-16 07:10:44.288 [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86736, top1: 0.00092, throughput: 1349.28 | 2022-05-16 07:10:44.286 [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86703, top1: 0.00082, throughput: 1349.33 | 2022-05-16 07:10:44.288 [rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86717, top1: 0.00086, throughput: 1349.31 | 2022-05-16 07:10:44.289 [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86711, top1: 0.00096, throughput: 1349.26 | 2022-05-16 07:10:44.289 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86732, top1: 0.00080, throughput: 1360.22 | 2022-05-16 07:11:21.927 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86710, top1: 0.00100, throughput: 1360.28 | 2022-05-16 07:11:21.929 [rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86723, top1: 0.00086, throughput: 1360.19 | 2022-05-16 07:11:21.928 [rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86727, top1: 0.00094, throughput: 1360.25 | 2022-05-16 07:11:21.930 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86721, top1: 0.00090, throughput: 1360.27 | 2022-05-16 07:11:21.928 [rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86707, top1: 0.00102, throughput: 1360.20 | 2022-05-16 07:11:21.928 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86711, top1: 0.00061, throughput: 1360.05 | 2022-05-16 07:11:21.931 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86716, top1: 0.00090, throughput: 1360.24 | 2022-05-16 07:11:21.929