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: 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/usr/lib/x86_64-linux-gnu/libibverbs.so.1 W20220509 22:43:54.126260 3664 rpc_client.cpp:190] LoadServer 10.7.151.6 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: 3.11358 s ***** [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86711, top1: 0.00107, throughput: 451.00 | 2022-05-09 22:46:02.992 [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86692, top1: 0.00105, throughput: 450.97 | 2022-05-09 22:46:02.993 [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86734, top1: 0.00080, throughput: 450.98 | 2022-05-09 22:46:02.994 [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86714, top1: 0.00092, throughput: 450.97 | 2022-05-09 22:46:02.992 [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86690, top1: 0.00107, throughput: 450.97 | 2022-05-09 22:46:02.994 [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86706, top1: 0.00098, throughput: 450.97 | 2022-05-09 22:46:02.994 [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86705, top1: 0.00117, throughput: 450.95 | 2022-05-09 22:46:02.997 [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86705, top1: 0.00109, throughput: 450.97 | 2022-05-09 22:46:02.998 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] 2022/05/09 22:46:03.337, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 92 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/09 22:46:03.339, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 92 %, 32510 MiB, 8561 MiB, 23949 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/09 22:46:03.342, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 92 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/09 22:46:03.345, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 90 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/09 22:46:03.347, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 90 %, 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] 2022/05/09 22:46:03.350, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 92 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/09 22:46:03.351, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 90 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/09 22:46:03.352, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8722 MiB, 23788 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] 2022/05/09 22:46:03.354, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/09 22:46:03.355, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 92 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/09 22:46:03.357, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 90 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/09 22:46:03.357, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/09 22:46:03.357, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 92 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/09 22:46:03.358, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 93 %, 32510 MiB, 8672 MiB, 23838 MiB 2022/05/09 22:46:03.359, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 92 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/09 22:46:03.360, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 92 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/09 22:46:03.361, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 93 %, 32510 MiB, 8672 MiB, 23838 MiB 2022/05/09 22:46:03.363, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 90 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/09 22:46:03.370, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/09 22:46:03.370, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 93 %, 32510 MiB, 8672 MiB, 23838 MiB 2022/05/09 22:46:03.371, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 90 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/09 22:46:03.372, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 84 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/09 22:46:03.374, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 89 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/09 22:46:03.375, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 89 %, 32510 MiB, 8550 MiB, 23960 MiB 2022/05/09 22:46:03.375, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 84 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/09 22:46:03.377, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 85 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/09 22:46:03.379, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 93 %, 32510 MiB, 8672 MiB, 23838 MiB 2022/05/09 22:46:03.379, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 84 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/09 22:46:03.379, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 85 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/09 22:46:03.400, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 87 %, 32510 MiB, 8534 MiB, 23976 MiB 2022/05/09 22:46:03.402, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 85 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/09 22:46:03.407, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 85 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/09 22:46:03.407, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 87 %, 32510 MiB, 8534 MiB, 23976 MiB 2022/05/09 22:46:03.413, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 93 %, 32510 MiB, 8672 MiB, 23838 MiB 2022/05/09 22:46:03.418, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 84 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/09 22:46:03.419, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 87 %, 32510 MiB, 8534 MiB, 23976 MiB 2022/05/09 22:46:03.419, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 93 %, 32510 MiB, 8672 MiB, 23838 MiB 2022/05/09 22:46:03.424, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 8422 MiB, 24088 MiB 2022/05/09 22:46:03.427, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 93 %, 32510 MiB, 8672 MiB, 23838 MiB 2022/05/09 22:46:03.431, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 93 %, 32510 MiB, 8672 MiB, 23838 MiB 2022/05/09 22:46:03.431, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 8422 MiB, 24088 MiB 2022/05/09 22:46:03.433, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 84 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/09 22:46:03.439, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 87 %, 32510 MiB, 8534 MiB, 23976 MiB 2022/05/09 22:46:03.439, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 8422 MiB, 24088 MiB 2022/05/09 22:46:03.439, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/09 22:46:03.451, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8622 MiB, 23888 MiB 2022/05/09 22:46:03.453, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/09 22:46:03.454, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/09 22:46:03.455, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8622 MiB, 23888 MiB 2022/05/09 22:46:03.460, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 87 %, 32510 MiB, 8534 MiB, 23976 MiB 2022/05/09 22:46:03.485, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 8422 MiB, 24088 MiB 2022/05/09 22:46:03.486, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8622 MiB, 23888 MiB 2022/05/09 22:46:03.486, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 87 %, 32510 MiB, 8534 MiB, 23976 MiB 2022/05/09 22:46:03.489, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 87 %, 32510 MiB, 8534 MiB, 23976 MiB 2022/05/09 22:46:03.491, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 87 %, 32510 MiB, 8534 MiB, 23976 MiB 2022/05/09 22:46:03.493, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 8422 MiB, 24088 MiB 2022/05/09 22:46:03.495, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8622 MiB, 23888 MiB 2022/05/09 22:46:03.496, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 8422 MiB, 24088 MiB 2022/05/09 22:46:03.498, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 8422 MiB, 24088 MiB 2022/05/09 22:46:03.500, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 8422 MiB, 24088 MiB 2022/05/09 22:46:03.501, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8622 MiB, 23888 MiB 2022/05/09 22:46:03.507, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8622 MiB, 23888 MiB 2022/05/09 22:46:03.514, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8622 MiB, 23888 MiB 2022/05/09 22:46:03.516, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8622 MiB, 23888 MiB [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86720, top1: 0.00086, throughput: 1343.76 | 2022-05-09 22:46:41.096 [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86713, top1: 0.00102, throughput: 1343.62 | 2022-05-09 22:46:41.098 [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86708, top1: 0.00062, throughput: 1343.67 | 2022-05-09 22:46:41.097 [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86718, top1: 0.00104, throughput: 1343.67 | 2022-05-09 22:46:41.099 [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86703, top1: 0.00104, throughput: 1343.67 | 2022-05-09 22:46:41.098 [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86695, top1: 0.00076, throughput: 1343.65 | 2022-05-09 22:46:41.098 [rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86693, top1: 0.00105, throughput: 1343.73 | 2022-05-09 22:46:41.100 [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86690, top1: 0.00111, throughput: 1343.72 | 2022-05-09 22:46:41.101 [rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86714, top1: 0.00098, throughput: 1329.98 | 2022-05-09 22:47:19.595 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86702, top1: 0.00100, throughput: 1330.04 | 2022-05-09 22:47:19.594 [rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86701, top1: 0.00111, throughput: 1329.86 | 2022-05-09 22:47:19.596 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86712, top1: 0.00084, throughput: 1329.94 | 2022-05-09 22:47:19.596 [rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86687, top1: 0.00096, throughput: 1329.94 | 2022-05-09 22:47:19.598 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86726, top1: 0.00107, throughput: 1329.95 | 2022-05-09 22:47:19.596 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86708, top1: 0.00078, throughput: 1330.03 | 2022-05-09 22:47:19.596 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86730, top1: 0.00092, throughput: 1329.92 | 2022-05-09 22:47:19.596