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: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 W20220521 01:49:17.692445 3665 rpc_client.cpp:190] LoadServer 10.7.163.192 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220521 01:49:17.693231 3667 rpc_client.cpp:190] LoadServer 10.7.163.192 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220521 01:49:17.693166 3664 rpc_client.cpp:190] LoadServer 10.7.163.192 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: 3.16622 s ***** [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86728, top1: 0.00076, throughput: 448.82 | 2022-05-21 01:51:27.378 [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86726, top1: 0.00098, throughput: 448.83 | 2022-05-21 01:51:27.378 [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86727, top1: 0.00086, throughput: 448.81 | 2022-05-21 01:51:27.379 [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86703, top1: 0.00082, throughput: 448.81 | 2022-05-21 01:51:27.378 [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86726, top1: 0.00092, throughput: 448.82 | 2022-05-21 01:51:27.380 [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86702, top1: 0.00072, throughput: 448.83 | 2022-05-21 01:51:27.380 [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86747, top1: 0.00088, throughput: 448.83 | 2022-05-21 01:51:27.381 [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86726, top1: 0.00061, throughput: 448.78 | 2022-05-21 01:51:27.384 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] 2022/05/21 01:51:27.691, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8555 MiB, 23955 MiB 2022/05/21 01:51:27.692, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8555 MiB, 23955 MiB 2022/05/21 01:51:27.697, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8555 MiB, 23955 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/21 01:51:27.698, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 8584 MiB, 23926 MiB 2022/05/21 01:51:27.699, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 8584 MiB, 23926 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] 2022/05/21 01:51:27.704, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 8584 MiB, 23926 MiB 2022/05/21 01:51:27.704, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 46 %, 32510 MiB, 8696 MiB, 23814 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/21 01:51:27.704, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8555 MiB, 23955 MiB 2022/05/21 01:51:27.705, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 46 %, 32510 MiB, 8696 MiB, 23814 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/21 01:51:27.706, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8555 MiB, 23955 MiB 2022/05/21 01:51:27.707, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8555 MiB, 23955 MiB 2022/05/21 01:51:27.710, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 93 %, 32510 MiB, 8696 MiB, 23814 MiB 2022/05/21 01:51:27.710, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 91 %, 32510 MiB, 8668 MiB, 23842 MiB 2022/05/21 01:51:27.711, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 8584 MiB, 23926 MiB 2022/05/21 01:51:27.711, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 91 %, 32510 MiB, 8668 MiB, 23842 MiB 2022/05/21 01:51:27.710, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8555 MiB, 23955 MiB 2022/05/21 01:51:27.712, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8555 MiB, 23955 MiB 2022/05/21 01:51:27.713, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 8584 MiB, 23926 MiB 2022/05/21 01:51:27.716, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 8584 MiB, 23926 MiB 2022/05/21 01:51:27.718, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 91 %, 32510 MiB, 8668 MiB, 23842 MiB 2022/05/21 01:51:27.718, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8684 MiB, 23826 MiB 2022/05/21 01:51:27.719, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 93 %, 32510 MiB, 8696 MiB, 23814 MiB 2022/05/21 01:51:27.720, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8684 MiB, 23826 MiB 2022/05/21 01:51:27.720, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 8584 MiB, 23926 MiB 2022/05/21 01:51:27.721, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 8584 MiB, 23926 MiB 2022/05/21 01:51:27.722, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 93 %, 32510 MiB, 8696 MiB, 23814 MiB 2022/05/21 01:51:27.724, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 93 %, 32510 MiB, 8696 MiB, 23814 MiB 2022/05/21 01:51:27.727, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8684 MiB, 23826 MiB 2022/05/21 01:51:27.727, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 94 %, 32510 MiB, 8568 MiB, 23942 MiB 2022/05/21 01:51:27.728, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 91 %, 32510 MiB, 8668 MiB, 23842 MiB 2022/05/21 01:51:27.728, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 94 %, 32510 MiB, 8568 MiB, 23942 MiB 2022/05/21 01:51:27.728, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 93 %, 32510 MiB, 8696 MiB, 23814 MiB 2022/05/21 01:51:27.730, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 93 %, 32510 MiB, 8696 MiB, 23814 MiB 2022/05/21 01:51:27.730, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 91 %, 32510 MiB, 8668 MiB, 23842 MiB 2022/05/21 01:51:27.733, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 91 %, 32510 MiB, 8668 MiB, 23842 MiB 2022/05/21 01:51:27.735, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 94 %, 32510 MiB, 8568 MiB, 23942 MiB 2022/05/21 01:51:27.736, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 8436 MiB, 24074 MiB 2022/05/21 01:51:27.736, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 85 %, 32510 MiB, 8684 MiB, 23826 MiB 2022/05/21 01:51:27.737, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 8436 MiB, 24074 MiB 2022/05/21 01:51:27.737, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 91 %, 32510 MiB, 8668 MiB, 23842 MiB 2022/05/21 01:51:27.738, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 91 %, 32510 MiB, 8668 MiB, 23842 MiB 2022/05/21 01:51:27.739, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 85 %, 32510 MiB, 8684 MiB, 23826 MiB 2022/05/21 01:51:27.742, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 85 %, 32510 MiB, 8684 MiB, 23826 MiB 2022/05/21 01:51:27.745, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 8436 MiB, 24074 MiB 2022/05/21 01:51:27.750, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8596 MiB, 23914 MiB 2022/05/21 01:51:27.755, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 94 %, 32510 MiB, 8568 MiB, 23942 MiB 2022/05/21 01:51:27.756, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8596 MiB, 23914 MiB 2022/05/21 01:51:27.756, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 85 %, 32510 MiB, 8684 MiB, 23826 MiB 2022/05/21 01:51:27.758, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8684 MiB, 23826 MiB 2022/05/21 01:51:27.758, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 94 %, 32510 MiB, 8568 MiB, 23942 MiB 2022/05/21 01:51:27.760, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 94 %, 32510 MiB, 8568 MiB, 23942 MiB 2022/05/21 01:51:27.763, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 83 %, 32510 MiB, 8596 MiB, 23914 MiB 2022/05/21 01:51:27.764, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 8436 MiB, 24074 MiB 2022/05/21 01:51:27.765, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 94 %, 32510 MiB, 8568 MiB, 23942 MiB 2022/05/21 01:51:27.780, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 94 %, 32510 MiB, 8568 MiB, 23942 MiB 2022/05/21 01:51:27.780, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 8436 MiB, 24074 MiB 2022/05/21 01:51:27.782, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 8436 MiB, 24074 MiB 2022/05/21 01:51:27.790, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 83 %, 32510 MiB, 8596 MiB, 23914 MiB 2022/05/21 01:51:27.791, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 8436 MiB, 24074 MiB 2022/05/21 01:51:27.795, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 8436 MiB, 24074 MiB 2022/05/21 01:51:27.796, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 83 %, 32510 MiB, 8596 MiB, 23914 MiB 2022/05/21 01:51:27.798, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 83 %, 32510 MiB, 8596 MiB, 23914 MiB 2022/05/21 01:51:27.802, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 83 %, 32510 MiB, 8596 MiB, 23914 MiB 2022/05/21 01:51:27.803, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 83 %, 32510 MiB, 8596 MiB, 23914 MiB [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86731, top1: 0.00074, throughput: 1343.35 | 2022-05-21 01:52:05.493 [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86721, top1: 0.00074, throughput: 1343.32 | 2022-05-21 01:52:05.493 [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86724, top1: 0.00080, throughput: 1343.35 | 2022-05-21 01:52:05.493 [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86711, top1: 0.00096, throughput: 1343.22 | 2022-05-21 01:52:05.497 [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86717, top1: 0.00088, throughput: 1343.34 | 2022-05-21 01:52:05.498 [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86729, top1: 0.00074, throughput: 1343.14 | 2022-05-21 01:52:05.498 [rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86702, top1: 0.00076, throughput: 1343.31 | 2022-05-21 01:52:05.496 [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86736, top1: 0.00070, throughput: 1343.25 | 2022-05-21 01:52:05.494 [rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86714, top1: 0.00086, throughput: 1341.86 | 2022-05-21 01:52:43.653 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86720, top1: 0.00072, throughput: 1341.66 | 2022-05-21 01:52:43.655 [rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86738, top1: 0.00084, throughput: 1341.96 | 2022-05-21 01:52:43.651 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86709, top1: 0.00062, throughput: 1341.77 | 2022-05-21 01:52:43.653 [rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86729, top1: 0.00082, throughput: 1341.79 | 2022-05-21 01:52:43.654 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86731, top1: 0.00055, throughput: 1341.86 | 2022-05-21 01:52:43.654 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86714, top1: 0.00064, throughput: 1341.64 | 2022-05-21 01:52:43.655 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86718, top1: 0.00117, throughput: 1341.72 | 2022-05-21 01:52:43.654