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: /usr/lib/x86_64-linux-gnu/libibverbs.so.1loaded 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 W20220514 02:08:32.204128 3670 rpc_client.cpp:190] LoadServer 10.7.184.83 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: 3.16648 s ***** [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86736, top1: 0.00102, throughput: 452.78 | 2022-05-14 02:10:40.726 [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86732, top1: 0.00086, throughput: 452.80 | 2022-05-14 02:10:40.724 [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86715, top1: 0.00111, throughput: 452.81 | 2022-05-14 02:10:40.724 [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86696, top1: 0.00104, throughput: 452.80 | 2022-05-14 02:10:40.727 [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86725, top1: 0.00096, throughput: 452.78 | 2022-05-14 02:10:40.726 [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86713, top1: 0.00070, throughput: 452.79 | 2022-05-14 02:10:40.724 [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86713, top1: 0.00072, throughput: 452.78 | 2022-05-14 02:10:40.727 [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86689, top1: 0.00092, throughput: 452.78 | 2022-05-14 02:10:40.725 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] 2022/05/14 02:10:41.045, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8559 MiB, 23951 MiB 2022/05/14 02:10:41.046, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8559 MiB, 23951 MiB 2022/05/14 02:10:41.047, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8559 MiB, 23951 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/14 02:10:41.051, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 88 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/14 02:10:41.051, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8559 MiB, 23951 MiB 2022/05/14 02:10:41.052, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 88 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/14 02:10:41.054, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 88 %, 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] 2022/05/14 02:10:41.057, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8559 MiB, 23951 MiB 2022/05/14 02:10:41.058, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 85 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/14 02:10:41.059, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 88 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/14 02:10:41.059, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 85 %, 32510 MiB, 8722 MiB, 23788 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/14 02:10:41.061, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 85 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/14 02:10:41.062, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8559 MiB, 23951 MiB 2022/05/14 02:10:41.063, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8559 MiB, 23951 MiB 2022/05/14 02:10:41.064, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 88 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/14 02:10:41.065, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/05/14 02:10:41.066, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 84 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/14 02:10:41.066, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 76 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/05/14 02:10:41.067, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8559 MiB, 23951 MiB 2022/05/14 02:10:41.068, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 76 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/05/14 02:10:41.071, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 88 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/14 02:10:41.072, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 88 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/14 02:10:41.084, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 84 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/14 02:10:41.096, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8670 MiB, 23840 MiB 2022/05/14 02:10:41.102, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 76 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/05/14 02:10:41.103, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8670 MiB, 23840 MiB 2022/05/14 02:10:41.105, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 88 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/14 02:10:41.106, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8670 MiB, 23840 MiB 2022/05/14 02:10:41.108, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 84 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/14 02:10:41.110, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 84 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/14 02:10:41.111, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 76 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/05/14 02:10:41.111, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/14 02:10:41.112, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8670 MiB, 23840 MiB 2022/05/14 02:10:41.115, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/14 02:10:41.123, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 84 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/14 02:10:41.123, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/14 02:10:41.126, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 76 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/05/14 02:10:41.129, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 76 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/05/14 02:10:41.129, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8670 MiB, 23840 MiB 2022/05/14 02:10:41.130, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 8422 MiB, 24088 MiB 2022/05/14 02:10:41.131, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/14 02:10:41.131, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 8422 MiB, 24088 MiB 2022/05/14 02:10:41.145, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 76 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/05/14 02:10:41.145, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 8422 MiB, 24088 MiB 2022/05/14 02:10:41.160, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8670 MiB, 23840 MiB 2022/05/14 02:10:41.164, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8670 MiB, 23840 MiB 2022/05/14 02:10:41.164, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/14 02:10:41.165, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 68 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/14 02:10:41.166, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 8422 MiB, 24088 MiB 2022/05/14 02:10:41.166, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 68 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/14 02:10:41.170, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8670 MiB, 23840 MiB 2022/05/14 02:10:41.170, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 68 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/14 02:10:41.173, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/14 02:10:41.178, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/14 02:10:41.179, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 8422 MiB, 24088 MiB 2022/05/14 02:10:41.180, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 68 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/14 02:10:41.184, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/14 02:10:41.187, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 8422 MiB, 24088 MiB 2022/05/14 02:10:41.191, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 8422 MiB, 24088 MiB 2022/05/14 02:10:41.191, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 68 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/14 02:10:41.194, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 8422 MiB, 24088 MiB 2022/05/14 02:10:41.200, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 68 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/14 02:10:41.202, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 68 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/14 02:10:41.205, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 68 %, 32510 MiB, 8602 MiB, 23908 MiB [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86710, top1: 0.00111, throughput: 1340.12 | 2022-05-14 02:11:18.931 [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86710, top1: 0.00094, throughput: 1340.14 | 2022-05-14 02:11:18.931 [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86696, top1: 0.00090, throughput: 1340.19 | 2022-05-14 02:11:18.931 [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86729, top1: 0.00111, throughput: 1340.14 | 2022-05-14 02:11:18.931 [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86706, top1: 0.00107, throughput: 1340.03 | 2022-05-14 02:11:18.932 [rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86723, top1: 0.00092, throughput: 1340.06 | 2022-05-14 02:11:18.932 [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86703, top1: 0.00105, throughput: 1340.01 | 2022-05-14 02:11:18.933 [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86714, top1: 0.00098, throughput: 1340.06 | 2022-05-14 02:11:18.934 [rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86715, top1: 0.00068, throughput: 1343.00 | 2022-05-14 02:11:57.055 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86714, top1: 0.00119, throughput: 1343.05 | 2022-05-14 02:11:57.056 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86732, top1: 0.00066, throughput: 1342.92 | 2022-05-14 02:11:57.057 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86705, top1: 0.00098, throughput: 1342.95 | 2022-05-14 02:11:57.056 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86720, top1: 0.00092, throughput: 1343.01 | 2022-05-14 02:11:57.056 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86720, top1: 0.00092, throughput: 1342.97 | 2022-05-14 02:11:57.056 [rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86706, top1: 0.00109, throughput: 1342.95 | 2022-05-14 02:11:57.057 [rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86737, top1: 0.00084, throughput: 1342.90 | 2022-05-14 02:11:57.058