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: /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 loaded library: /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 W20220428 01:53:07.318977 5266 rpc_client.cpp:190] LoadServer 10.7.183.15 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220428 01:53:07.319761 5267 rpc_client.cpp:190] LoadServer 10.7.183.15 Failed at 0 times error_code 14 error_message failed to connect to all addresses ------------------------ arguments ------------------------ batches_per_epoch ............................... 625 channel_last .................................... False 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 ................................... 2.048 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 ................................ 256 train_global_batch_size ......................... 2048 use_fp16 ........................................ False 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: 3.04003 s ***** [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86765, top1: 0.00098, throughput: 275.87 | 2022-04-28 01:54:55.408 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86778, top1: 0.00078, throughput: 275.87 | 2022-04-28 01:54:55.408 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86784, top1: 0.00109, throughput: 275.87 | 2022-04-28 01:54:55.408 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86751, top1: 0.00098, throughput: 275.86 | 2022-04-28 01:54:55.409[rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86762, top1: 0.00098, throughput: 275.86 | 2022-04-28 01:54:55.409 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86796, top1: 0.00090, throughput: 275.86 | 2022-04-28 01:54:55.409 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86768, top1: 0.00094, throughput: 275.86 | 2022-04-28 01:54:55.414 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86797, top1: 0.00094, throughput: 275.87 | 2022-04-28 01:54:55.409 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] timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/28 01:54:55.734, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8524 MiB, 23986 MiB 2022/04/28 01:54:55.734, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8524 MiB, 23986 MiB 2022/04/28 01:54:55.734, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8524 MiB, 23986 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/28 01:54:55.735, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8524 MiB, 23986 MiB 2022/04/28 01:54:55.735, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8524 MiB, 23986 MiB 2022/04/28 01:54:55.741, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8434 MiB, 24076 MiB 2022/04/28 01:54:55.742, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8434 MiB, 24076 MiB 2022/04/28 01:54:55.742, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8434 MiB, 24076 MiB 2022/04/28 01:54:55.742, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8524 MiB, 23986 MiB 2022/04/28 01:54:55.743, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8434 MiB, 24076 MiB 2022/04/28 01:54:55.744, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8434 MiB, 24076 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 01:54:55.749, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8626 MiB, 23884 MiB 2022/04/28 01:54:55.750, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8626 MiB, 23884 MiB 2022/04/28 01:54:55.750, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8626 MiB, 23884 MiB 2022/04/28 01:54:55.751, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8434 MiB, 24076 MiB 2022/04/28 01:54:55.751, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8626 MiB, 23884 MiB 2022/04/28 01:54:55.753, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8626 MiB, 23884 MiB 2022/04/28 01:54:55.755, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8524 MiB, 23986 MiB 2022/04/28 01:54:55.755, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8524 MiB, 23986 MiB 2022/04/28 01:54:55.759, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8562 MiB, 23948 MiB 2022/04/28 01:54:55.760, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8562 MiB, 23948 MiB 2022/04/28 01:54:55.760, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8562 MiB, 23948 MiB 2022/04/28 01:54:55.761, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8626 MiB, 23884 MiB 2022/04/28 01:54:55.762, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8562 MiB, 23948 MiB 2022/04/28 01:54:55.762, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8562 MiB, 23948 MiB 2022/04/28 01:54:55.764, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8434 MiB, 24076 MiB 2022/04/28 01:54:55.764, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8434 MiB, 24076 MiB 2022/04/28 01:54:55.768, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8640 MiB, 23870 MiB 2022/04/28 01:54:55.769, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8640 MiB, 23870 MiB 2022/04/28 01:54:55.769, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8640 MiB, 23870 MiB 2022/04/28 01:54:55.770, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8562 MiB, 23948 MiB 2022/04/28 01:54:55.770, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8640 MiB, 23870 MiB 2022/04/28 01:54:55.770, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8640 MiB, 23870 MiB 2022/04/28 01:54:55.775, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8626 MiB, 23884 MiB 2022/04/28 01:54:55.775, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8626 MiB, 23884 MiB 2022/04/28 01:54:55.779, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8518 MiB, 23992 MiB 2022/04/28 01:54:55.779, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8518 MiB, 23992 MiB 2022/04/28 01:54:55.780, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8518 MiB, 23992 MiB 2022/04/28 01:54:55.781, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8640 MiB, 23870 MiB 2022/04/28 01:54:55.781, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8518 MiB, 23992 MiB 2022/04/28 01:54:55.781, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8518 MiB, 23992 MiB 2022/04/28 01:54:55.784, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8562 MiB, 23948 MiB 2022/04/28 01:54:55.784, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8562 MiB, 23948 MiB 2022/04/28 01:54:55.788, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8382 MiB, 24128 MiB 2022/04/28 01:54:55.788, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8382 MiB, 24128 MiB 2022/04/28 01:54:55.788, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8382 MiB, 24128 MiB 2022/04/28 01:54:55.790, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8518 MiB, 23992 MiB 2022/04/28 01:54:55.790, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8382 MiB, 24128 MiB 2022/04/28 01:54:55.790, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8382 MiB, 24128 MiB 2022/04/28 01:54:55.792, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8640 MiB, 23870 MiB 2022/04/28 01:54:55.793, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8640 MiB, 23870 MiB 2022/04/28 01:54:55.796, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8542 MiB, 23968 MiB 2022/04/28 01:54:55.796, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8542 MiB, 23968 MiB 2022/04/28 01:54:55.797, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8542 MiB, 23968 MiB 2022/04/28 01:54:55.798, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8382 MiB, 24128 MiB 2022/04/28 01:54:55.798, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8542 MiB, 23968 MiB 2022/04/28 01:54:55.798, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8542 MiB, 23968 MiB 2022/04/28 01:54:55.801, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8518 MiB, 23992 MiB 2022/04/28 01:54:55.801, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8518 MiB, 23992 MiB 2022/04/28 01:54:55.808, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8542 MiB, 23968 MiB 2022/04/28 01:54:55.811, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8382 MiB, 24128 MiB 2022/04/28 01:54:55.811, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8382 MiB, 24128 MiB 2022/04/28 01:54:55.818, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8542 MiB, 23968 MiB 2022/04/28 01:54:55.818, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8542 MiB, 23968 MiB [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86802, top1: 0.00102, throughput: 379.61 | 2022-04-28 01:56:02.852 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86746, top1: 0.00137, throughput: 379.58 | 2022-04-28 01:56:02.852 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86795, top1: 0.00074, throughput: 379.57 | 2022-04-28 01:56:02.853 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86810, top1: 0.00078, throughput: 379.56 | 2022-04-28 01:56:02.854 [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86767, top1: 0.00066, throughput: 379.57 | 2022-04-28 01:56:02.853 [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86804, top1: 0.00102, throughput: 379.56 | 2022-04-28 01:56:02.854 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86785, top1: 0.00078, throughput: 379.57 | 2022-04-28 01:56:02.853 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86771, top1: 0.00105, throughput: 379.56 | 2022-04-28 01:56:02.855 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86783, top1: 0.00105, throughput: 378.51 | 2022-04-28 01:57:10.486 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86779, top1: 0.00070, throughput: 378.46 | 2022-04-28 01:57:10.495 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86753, top1: 0.00090, throughput: 378.45 | 2022-04-28 01:57:10.496 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86804, top1: 0.00113, throughput: 378.46 | 2022-04-28 01:57:10.497 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86766, top1: 0.00113, throughput: 378.44 | 2022-04-28 01:57:10.499 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86775, top1: 0.00062, throughput: 378.44 | 2022-04-28 01:57:10.500 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86776, top1: 0.00066, throughput: 378.44 | 2022-04-28 01:57:10.501 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86778, top1: 0.00121, throughput: 378.43 | 2022-04-28 01:57:10.500