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: loaded library: loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1/usr/lib/x86_64-linux-gnu/libibverbs.so.1loaded 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 loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 W20220526 18:03:35.735446 3665 rpc_client.cpp:190] LoadServer 10.7.148.52 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: 3.17288 s ***** [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86754, top1: 0.00084, throughput: 447.92 | 2022-05-26 18:05:45.485 [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86761, top1: 0.00127, throughput: 447.90 | 2022-05-26 18:05:45.487 [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86763, top1: 0.00129, throughput: 447.90 | 2022-05-26 18:05:45.486 [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86767, top1: 0.00102, throughput: 447.91 | 2022-05-26 18:05:45.487 [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86757, top1: 0.00090, throughput: 447.90 | 2022-05-26 18:05:45.487 [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86754, top1: 0.00131, throughput: 447.90 | 2022-05-26 18:05:45.487 [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86744, top1: 0.00100, throughput: 447.90 | 2022-05-26 18:05:45.488 [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86770, top1: 0.00107, throughput: 447.93 | 2022-05-26 18:05:45.487 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] 2022/05/26 18:05:45.798, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 77 %, 32510 MiB, 8553 MiB, 23957 MiB 2022/05/26 18:05:45.799, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 77 %, 32510 MiB, 8553 MiB, 23957 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/26 18:05:45.801, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 77 %, 32510 MiB, 8553 MiB, 23957 MiB 2022/05/26 18:05:45.803, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 77 %, 32510 MiB, 8553 MiB, 23957 MiB 2022/05/26 18:05:45.805, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 8564 MiB, 23946 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] 2022/05/26 18:05:45.806, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 8564 MiB, 23946 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/26 18:05:45.807, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 77 %, 32510 MiB, 8553 MiB, 23957 MiB 2022/05/26 18:05:45.809, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 8564 MiB, 23946 MiB 2022/05/26 18:05:45.810, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 8564 MiB, 23946 MiB 2022/05/26 18:05:45.811, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 79 %, 32510 MiB, 8736 MiB, 23774 MiB 2022/05/26 18:05:45.811, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 77 %, 32510 MiB, 8553 MiB, 23957 MiB 2022/05/26 18:05:45.812, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 79 %, 32510 MiB, 8736 MiB, 23774 MiB 2022/05/26 18:05:45.812, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 77 %, 32510 MiB, 8553 MiB, 23957 MiB 2022/05/26 18:05:45.814, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 8564 MiB, 23946 MiB 2022/05/26 18:05:45.814, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 77 %, 32510 MiB, 8553 MiB, 23957 MiB 2022/05/26 18:05:45.816, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 79 %, 32510 MiB, 8736 MiB, 23774 MiB 2022/05/26 18:05:45.817, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 79 %, 32510 MiB, 8736 MiB, 23774 MiB 2022/05/26 18:05:45.819, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 73 %, 32510 MiB, 8666 MiB, 23844 MiB 2022/05/26 18:05:45.820, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 8564 MiB, 23946 MiB 2022/05/26 18:05:45.821, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 73 %, 32510 MiB, 8666 MiB, 23844 MiB 2022/05/26 18:05:45.821, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 8564 MiB, 23946 MiB 2022/05/26 18:05:45.823, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 79 %, 32510 MiB, 8736 MiB, 23774 MiB 2022/05/26 18:05:45.824, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 81 %, 32510 MiB, 8564 MiB, 23946 MiB 2022/05/26 18:05:45.825, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 73 %, 32510 MiB, 8666 MiB, 23844 MiB 2022/05/26 18:05:45.826, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 73 %, 32510 MiB, 8666 MiB, 23844 MiB 2022/05/26 18:05:45.827, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 91 %, 32510 MiB, 8684 MiB, 23826 MiB 2022/05/26 18:05:45.829, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 79 %, 32510 MiB, 8736 MiB, 23774 MiB 2022/05/26 18:05:45.829, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 91 %, 32510 MiB, 8684 MiB, 23826 MiB 2022/05/26 18:05:45.830, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 79 %, 32510 MiB, 8736 MiB, 23774 MiB 2022/05/26 18:05:45.832, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 73 %, 32510 MiB, 8666 MiB, 23844 MiB 2022/05/26 18:05:45.832, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 79 %, 32510 MiB, 8736 MiB, 23774 MiB 2022/05/26 18:05:45.833, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 91 %, 32510 MiB, 8684 MiB, 23826 MiB 2022/05/26 18:05:45.834, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 91 %, 32510 MiB, 8684 MiB, 23826 MiB 2022/05/26 18:05:45.836, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 91 %, 32510 MiB, 8548 MiB, 23962 MiB 2022/05/26 18:05:45.837, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 73 %, 32510 MiB, 8666 MiB, 23844 MiB 2022/05/26 18:05:45.837, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 91 %, 32510 MiB, 8548 MiB, 23962 MiB 2022/05/26 18:05:45.838, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 73 %, 32510 MiB, 8666 MiB, 23844 MiB 2022/05/26 18:05:45.840, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 91 %, 32510 MiB, 8684 MiB, 23826 MiB 2022/05/26 18:05:45.841, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 73 %, 32510 MiB, 8666 MiB, 23844 MiB 2022/05/26 18:05:45.841, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 91 %, 32510 MiB, 8548 MiB, 23962 MiB 2022/05/26 18:05:45.842, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 91 %, 32510 MiB, 8548 MiB, 23962 MiB 2022/05/26 18:05:45.844, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8456 MiB, 24054 MiB 2022/05/26 18:05:45.845, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 91 %, 32510 MiB, 8684 MiB, 23826 MiB 2022/05/26 18:05:45.846, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8456 MiB, 24054 MiB 2022/05/26 18:05:45.846, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 91 %, 32510 MiB, 8684 MiB, 23826 MiB 2022/05/26 18:05:45.848, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 91 %, 32510 MiB, 8548 MiB, 23962 MiB 2022/05/26 18:05:45.849, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 91 %, 32510 MiB, 8684 MiB, 23826 MiB 2022/05/26 18:05:45.850, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8456 MiB, 24054 MiB 2022/05/26 18:05:45.851, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8456 MiB, 24054 MiB 2022/05/26 18:05:45.852, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 8616 MiB, 23894 MiB 2022/05/26 18:05:45.853, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 91 %, 32510 MiB, 8548 MiB, 23962 MiB 2022/05/26 18:05:45.854, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 8616 MiB, 23894 MiB 2022/05/26 18:05:45.855, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 91 %, 32510 MiB, 8548 MiB, 23962 MiB 2022/05/26 18:05:45.861, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8456 MiB, 24054 MiB 2022/05/26 18:05:45.861, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 91 %, 32510 MiB, 8548 MiB, 23962 MiB 2022/05/26 18:05:45.862, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 8616 MiB, 23894 MiB 2022/05/26 18:05:45.863, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 8616 MiB, 23894 MiB 2022/05/26 18:05:45.866, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8456 MiB, 24054 MiB 2022/05/26 18:05:45.867, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8456 MiB, 24054 MiB 2022/05/26 18:05:45.869, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 8616 MiB, 23894 MiB 2022/05/26 18:05:45.870, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8456 MiB, 24054 MiB 2022/05/26 18:05:45.874, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 8616 MiB, 23894 MiB 2022/05/26 18:05:45.875, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 8616 MiB, 23894 MiB 2022/05/26 18:05:45.890, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 72 %, 32510 MiB, 8616 MiB, 23894 MiB [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86745, top1: 0.00090, throughput: 1345.49 | 2022-05-26 18:06:23.540 [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86745, top1: 0.00092, throughput: 1345.41 | 2022-05-26 18:06:23.543 [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86772, top1: 0.00105, throughput: 1345.35 | 2022-05-26 18:06:23.544 [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86765, top1: 0.00123, throughput: 1345.33 | 2022-05-26 18:06:23.542[rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86770, top1: 0.00100, throughput: 1345.45 | 2022-05-26 18:06:23.541 [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86774, top1: 0.00102, throughput: 1345.40 | 2022-05-26 18:06:23.542 [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86773, top1: 0.00109, throughput: 1345.32 | 2022-05-26 18:06:23.544 [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86737, top1: 0.00109, throughput: 1345.42 | 2022-05-26 18:06:23.542 [rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86739, top1: 0.00117, throughput: 1346.85 | 2022-05-26 18:07:01.557 [rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86757, top1: 0.00117, throughput: 1346.94[rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86756, top1: 0.00117, throughput: 1346.73 | 2022-05-26 18:07:01.555 | 2022-05-26 18:07:01.558 [rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86745, top1: 0.00117, throughput: 1346.78 | 2022-05-26 18:07:01.558 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86760, top1: 0.00100, throughput: 1346.82 | 2022-05-26 18:07:01.559 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86760, top1: 0.00098, throughput: 1346.84 | 2022-05-26 18:07:01.557 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86778, top1: 0.00094, throughput: 1346.82 | 2022-05-26 18:07:01.559 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86767, top1: 0.00105, throughput: 1346.82 | 2022-05-26 18:07:01.558