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: loaded library: /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 W20220428 10:36:12.761456 3665 rpc_client.cpp:190] LoadServer 10.7.252.45 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220428 10:36:12.762163 3663 rpc_client.cpp:190] LoadServer 10.7.252.45 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: 2.99989 s ***** [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86739, top1: 0.00135, throughput: 450.81 | 2022-04-28 10:38:21.431 [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86742, top1: 0.00111, throughput: 450.85 | 2022-04-28 10:38:21.431 [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86731, top1: 0.00109, throughput: 450.80 | 2022-04-28 10:38:21.435 [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86735, top1: 0.00111, throughput: 450.80 | 2022-04-28 10:38:21.434 [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86718, top1: 0.00127, throughput: 450.85 | 2022-04-28 10:38:21.432 [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86728, top1: 0.00121, throughput: 450.82 | 2022-04-28 10:38:21.434 [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86736, top1: 0.00094, throughput: 450.79 | 2022-04-28 10:38:21.435 [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86742, top1: 0.00096, throughput: 450.80 | 2022-04-28 10:38:21.434 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] 2022/04/28 10:38:21.776, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 55 %, 32510 MiB, 8563 MiB, 23947 MiB 2022/04/28 10:38:21.778, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 55 %, 32510 MiB, 8563 MiB, 23947 MiB 2022/04/28 10:38:21.779, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 55 %, 32510 MiB, 8563 MiB, 23947 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/28 10:38:21.784, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8592 MiB, 23918 MiB 2022/04/28 10:38:21.788, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8592 MiB, 23918 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/28 10:38:21.788, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8592 MiB, 23918 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] 2022/04/28 10:38:21.790, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 55 %, 32510 MiB, 8563 MiB, 23947 MiB 2022/04/28 10:38:21.791, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 8742 MiB, 23768 MiB 2022/04/28 10:38:21.793, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 8742 MiB, 23768 MiB 2022/04/28 10:38:21.794, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 8742 MiB, 23768 MiB 2022/04/28 10:38:21.794, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 55 %, 32510 MiB, 8563 MiB, 23947 MiB 2022/04/28 10:38:21.795, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 55 %, 32510 MiB, 8563 MiB, 23947 MiB 2022/04/28 10:38:21.796, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 55 %, 32510 MiB, 8563 MiB, 23947 MiB 2022/04/28 10:38:21.797, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8592 MiB, 23918 MiB 2022/04/28 10:38:21.796, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 55 %, 32510 MiB, 8563 MiB, 23947 MiB 2022/04/28 10:38:21.797, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 8676 MiB, 23834 MiB 2022/04/28 10:38:21.801, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 8676 MiB, 23834 MiB 2022/04/28 10:38:21.802, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 8676 MiB, 23834 MiB 2022/04/28 10:38:21.803, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8592 MiB, 23918 MiB 2022/04/28 10:38:21.805, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8592 MiB, 23918 MiB 2022/04/28 10:38:21.805, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8592 MiB, 23918 MiB 2022/04/28 10:38:21.806, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 8742 MiB, 23768 MiB 2022/04/28 10:38:21.806, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8592 MiB, 23918 MiB 2022/04/28 10:38:21.807, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 8712 MiB, 23798 MiB 2022/04/28 10:38:21.810, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 8712 MiB, 23798 MiB 2022/04/28 10:38:21.811, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 76 %, 32510 MiB, 8712 MiB, 23798 MiB 2022/04/28 10:38:21.812, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 80 %, 32510 MiB, 8742 MiB, 23768 MiB 2022/04/28 10:38:21.814, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 80 %, 32510 MiB, 8742 MiB, 23768 MiB 2022/04/28 10:38:21.814, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 80 %, 32510 MiB, 8742 MiB, 23768 MiB 2022/04/28 10:38:21.815, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 8676 MiB, 23834 MiB 2022/04/28 10:38:21.815, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 80 %, 32510 MiB, 8742 MiB, 23768 MiB 2022/04/28 10:38:21.816, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8576 MiB, 23934 MiB 2022/04/28 10:38:21.824, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8576 MiB, 23934 MiB 2022/04/28 10:38:21.842, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8576 MiB, 23934 MiB 2022/04/28 10:38:21.847, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 8676 MiB, 23834 MiB 2022/04/28 10:38:21.850, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 69 %, 32510 MiB, 8676 MiB, 23834 MiB 2022/04/28 10:38:21.850, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 69 %, 32510 MiB, 8676 MiB, 23834 MiB 2022/04/28 10:38:21.851, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 76 %, 32510 MiB, 8712 MiB, 23798 MiB 2022/04/28 10:38:21.852, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 69 %, 32510 MiB, 8676 MiB, 23834 MiB 2022/04/28 10:38:21.852, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 90 %, 32510 MiB, 8444 MiB, 24066 MiB 2022/04/28 10:38:21.861, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 90 %, 32510 MiB, 8444 MiB, 24066 MiB 2022/04/28 10:38:21.866, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 90 %, 32510 MiB, 8444 MiB, 24066 MiB 2022/04/28 10:38:21.869, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 76 %, 32510 MiB, 8712 MiB, 23798 MiB 2022/04/28 10:38:21.873, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 76 %, 32510 MiB, 8712 MiB, 23798 MiB 2022/04/28 10:38:21.874, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 76 %, 32510 MiB, 8712 MiB, 23798 MiB 2022/04/28 10:38:21.877, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8576 MiB, 23934 MiB 2022/04/28 10:38:21.878, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 76 %, 32510 MiB, 8712 MiB, 23798 MiB 2022/04/28 10:38:21.878, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 8604 MiB, 23906 MiB 2022/04/28 10:38:21.889, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 8604 MiB, 23906 MiB 2022/04/28 10:38:21.890, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 8604 MiB, 23906 MiB 2022/04/28 10:38:21.893, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8576 MiB, 23934 MiB 2022/04/28 10:38:21.897, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8576 MiB, 23934 MiB 2022/04/28 10:38:21.901, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8576 MiB, 23934 MiB 2022/04/28 10:38:21.902, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8444 MiB, 24066 MiB 2022/04/28 10:38:21.904, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8576 MiB, 23934 MiB 2022/04/28 10:38:21.926, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8444 MiB, 24066 MiB 2022/04/28 10:38:21.932, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8444 MiB, 24066 MiB 2022/04/28 10:38:21.933, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8444 MiB, 24066 MiB 2022/04/28 10:38:21.934, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 8604 MiB, 23906 MiB 2022/04/28 10:38:21.935, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8444 MiB, 24066 MiB 2022/04/28 10:38:21.942, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8604 MiB, 23906 MiB 2022/04/28 10:38:21.945, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8604 MiB, 23906 MiB 2022/04/28 10:38:21.946, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8604 MiB, 23906 MiB 2022/04/28 10:38:21.947, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8604 MiB, 23906 MiB [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86731, top1: 0.00123, throughput: 1339.54 | 2022-04-28 10:38:59.656 [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86746, top1: 0.00088, throughput: 1339.41 | 2022-04-28 10:38:59.657 [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86750, top1: 0.00119, throughput: 1339.47 | 2022-04-28 10:38:59.655 [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86732, top1: 0.00125, throughput: 1339.44 | 2022-04-28 10:38:59.659 [rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86745, top1: 0.00119, throughput: 1339.38 | 2022-04-28 10:38:59.658 [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86732, top1: 0.00109, throughput: 1339.48 | 2022-04-28 10:38:59.659 [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86736, top1: 0.00119, throughput: 1339.42 | 2022-04-28 10:38:59.660 [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86756, top1: 0.00115, throughput: 1339.43 | 2022-04-28 10:38:59.659 [rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86755, top1: 0.00086, throughput: 1349.86 | 2022-04-28 10:39:37.587 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86745, top1: 0.00100, throughput: 1349.76 | 2022-04-28 10:39:37.588 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86735, top1: 0.00111, throughput: 1349.74 | 2022-04-28 10:39:37.589 [rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86732, top1: 0.00090, throughput: 1349.77 | 2022-04-28 10:39:37.592 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86752, top1: 0.00119, throughput: 1349.85 | 2022-04-28 10:39:37.589 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86738, top1: 0.00113, throughput: 1349.81 | 2022-04-28 10:39:37.589 [rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86757, top1: 0.00102, throughput: 1349.88 | 2022-04-28 10:39:37.589 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86722, top1: 0.00115, throughput: 1349.86 | 2022-04-28 10:39:37.589