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: /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: 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 W20220512 02:09:15.041652 3664 rpc_client.cpp:190] LoadServer 10.7.58.255 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: 3.37303 s ***** [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86718, top1: 0.00123, throughput: 448.95 | 2022-05-12 02:11:24.783 [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86728, top1: 0.00111, throughput: 448.95 | 2022-05-12 02:11:24.783 [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86717, top1: 0.00123, throughput: 448.94 | 2022-05-12 02:11:24.784 [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86753, top1: 0.00121, throughput: 448.93 | 2022-05-12 02:11:24.781 [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86721, top1: 0.00145, throughput: 448.92 | 2022-05-12 02:11:24.786 [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86725, top1: 0.00113, throughput: 448.96 | 2022-05-12 02:11:24.784 [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86734, top1: 0.00119, throughput: 448.95 | 2022-05-12 02:11:24.784 [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86758, top1: 0.00115, throughput: 448.92 | 2022-05-12 02:11:24.788 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] 2022/05/12 02:11:25.109, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 76 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/12 02:11:25.109, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 76 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/12 02:11:25.110, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 76 %, 32510 MiB, 8561 MiB, 23949 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/12 02:11:25.114, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 76 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/12 02:11:25.116, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 56 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/12 02:11:25.116, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 56 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/12 02:11:25.117, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 56 %, 32510 MiB, 8550 MiB, 23960 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/12 02:11:25.121, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 56 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/12 02:11:25.120, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 76 %, 32510 MiB, 8561 MiB, 23949 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/12 02:11:25.123, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8702 MiB, 23808 MiB 2022/05/12 02:11:25.123, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8702 MiB, 23808 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/12 02:11:25.124, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8702 MiB, 23808 MiB 2022/05/12 02:11:25.125, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 76 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/12 02:11:25.127, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8702 MiB, 23808 MiB 2022/05/12 02:11:25.128, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/12 02:11:25.128, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 76 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/12 02:11:25.129, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 8634 MiB, 23876 MiB 2022/05/12 02:11:25.129, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 8634 MiB, 23876 MiB 2022/05/12 02:11:25.130, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 8634 MiB, 23876 MiB 2022/05/12 02:11:25.130, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 76 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/12 02:11:25.134, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/12 02:11:25.140, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 8634 MiB, 23876 MiB 2022/05/12 02:11:25.141, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 87 %, 32510 MiB, 8702 MiB, 23808 MiB 2022/05/12 02:11:25.142, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/12 02:11:25.142, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 88 %, 32510 MiB, 8668 MiB, 23842 MiB 2022/05/12 02:11:25.142, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 88 %, 32510 MiB, 8668 MiB, 23842 MiB 2022/05/12 02:11:25.143, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 88 %, 32510 MiB, 8668 MiB, 23842 MiB 2022/05/12 02:11:25.144, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/12 02:11:25.147, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8702 MiB, 23808 MiB 2022/05/12 02:11:25.148, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 87 %, 32510 MiB, 8668 MiB, 23842 MiB 2022/05/12 02:11:25.149, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 8634 MiB, 23876 MiB 2022/05/12 02:11:25.150, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8702 MiB, 23808 MiB 2022/05/12 02:11:25.151, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8514 MiB, 23996 MiB 2022/05/12 02:11:25.151, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8514 MiB, 23996 MiB 2022/05/12 02:11:25.152, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8514 MiB, 23996 MiB 2022/05/12 02:11:25.152, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8702 MiB, 23808 MiB 2022/05/12 02:11:25.163, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 70 %, 32510 MiB, 8634 MiB, 23876 MiB 2022/05/12 02:11:25.165, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8514 MiB, 23996 MiB 2022/05/12 02:11:25.165, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 87 %, 32510 MiB, 8668 MiB, 23842 MiB 2022/05/12 02:11:25.187, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 70 %, 32510 MiB, 8634 MiB, 23876 MiB 2022/05/12 02:11:25.187, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 71 %, 32510 MiB, 8422 MiB, 24088 MiB 2022/05/12 02:11:25.187, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 71 %, 32510 MiB, 8422 MiB, 24088 MiB 2022/05/12 02:11:25.188, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 71 %, 32510 MiB, 8422 MiB, 24088 MiB 2022/05/12 02:11:25.189, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 70 %, 32510 MiB, 8634 MiB, 23876 MiB 2022/05/12 02:11:25.208, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 87 %, 32510 MiB, 8668 MiB, 23842 MiB 2022/05/12 02:11:25.211, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 71 %, 32510 MiB, 8422 MiB, 24088 MiB 2022/05/12 02:11:25.211, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8514 MiB, 23996 MiB 2022/05/12 02:11:25.213, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 87 %, 32510 MiB, 8668 MiB, 23842 MiB 2022/05/12 02:11:25.213, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 71 %, 32510 MiB, 8622 MiB, 23888 MiB 2022/05/12 02:11:25.213, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 71 %, 32510 MiB, 8622 MiB, 23888 MiB 2022/05/12 02:11:25.218, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 71 %, 32510 MiB, 8622 MiB, 23888 MiB 2022/05/12 02:11:25.218, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 87 %, 32510 MiB, 8668 MiB, 23842 MiB 2022/05/12 02:11:25.221, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8514 MiB, 23996 MiB 2022/05/12 02:11:25.223, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 71 %, 32510 MiB, 8622 MiB, 23888 MiB 2022/05/12 02:11:25.223, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 71 %, 32510 MiB, 8422 MiB, 24088 MiB 2022/05/12 02:11:25.225, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8514 MiB, 23996 MiB 2022/05/12 02:11:25.228, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8514 MiB, 23996 MiB 2022/05/12 02:11:25.233, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 71 %, 32510 MiB, 8422 MiB, 24088 MiB 2022/05/12 02:11:25.239, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 71 %, 32510 MiB, 8622 MiB, 23888 MiB 2022/05/12 02:11:25.240, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 71 %, 32510 MiB, 8422 MiB, 24088 MiB 2022/05/12 02:11:25.242, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 71 %, 32510 MiB, 8422 MiB, 24088 MiB 2022/05/12 02:11:25.244, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 71 %, 32510 MiB, 8622 MiB, 23888 MiB 2022/05/12 02:11:25.251, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 71 %, 32510 MiB, 8622 MiB, 23888 MiB 2022/05/12 02:11:25.252, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 71 %, 32510 MiB, 8622 MiB, 23888 MiB [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86738, top1: 0.00131, throughput: 1337.29 | 2022-05-12 02:12:03.069 [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86719, top1: 0.00121, throughput: 1337.35 | 2022-05-12 02:12:03.069 [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86728, top1: 0.00113, throughput: 1337.24[rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86729, top1: 0.00109, throughput: 1337.43 | 2022-05-12 02:12:03.068 | 2022-05-12 02:12:03.071 [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86733, top1: 0.00111, throughput: 1337.40 | 2022-05-12 02:12:03.071 [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86751, top1: 0.00117, throughput: 1337.19 | 2022-05-12 02:12:03.071 [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86744, top1: 0.00100, throughput: 1337.23 | 2022-05-12 02:12:03.072 [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86740, top1: 0.00123, throughput: 1337.23 | 2022-05-12 02:12:03.071 [rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86719, top1: 0.00109, throughput: 1354.84 | 2022-05-12 02:12:40.861 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86735, top1: 0.00125, throughput: 1354.77 | 2022-05-12 02:12:40.862 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86726, top1: 0.00115, throughput: 1354.83 | 2022-05-12 02:12:40.861 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86728, top1: 0.00123, throughput: 1354.82[rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86716, top1: 0.00102, throughput: 1354.73 | 2022-05-12 02:12:40.862 | 2022-05-12 02:12:40.862 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86719, top1: 0.00123, throughput: 1354.84 | 2022-05-12 02:12:40.862 [rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86730, top1: 0.00088, throughput: 1354.77 | 2022-05-12 02:12:40.861 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86747, top1: 0.00115, throughput: 1354.85 | 2022-05-12 02:12:40.861