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: 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 loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 W20220410 22:37:00.998780 405 rpc_client.cpp:190] LoadServer 10.7.202.19 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 .................................. True 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: 2.72503 s ***** [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86776, top1: 0.00084, throughput: 419.67 | 2022-04-10 22:39:18.158 [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86739, top1: 0.00109, throughput: 419.67 | 2022-04-10 22:39:18.160 [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86743, top1: 0.00102, throughput: 419.66 | 2022-04-10 22:39:18.162 [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86717, top1: 0.00094, throughput: 419.65 | 2022-04-10 22:39:18.161 [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86764, top1: 0.00102, throughput: 419.63 | 2022-04-10 22:39:18.167 [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86765, top1: 0.00111, throughput: 419.67 | 2022-04-10 22:39:18.159 [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86747, top1: 0.00088, throughput: 419.67 | 2022-04-10 22:39:18.159 [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86726, top1: 0.00109, throughput: 419.63 | 2022-04-10 22:39:18.166 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] 2022/04/10 22:39:18.441, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 84 %, 32510 MiB, 7763 MiB, 24747 MiB 2022/04/10 22:39:18.441, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 84 %, 32510 MiB, 7763 MiB, 24747 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] 2022/04/10 22:39:18.449, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7742 MiB, 24768 MiB 2022/04/10 22:39:18.449, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7742 MiB, 24768 MiB 2022/04/10 22:39:18.452, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 84 %, 32510 MiB, 7763 MiB, 24747 MiB 2022/04/10 22:39:18.453, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 84 %, 32510 MiB, 7763 MiB, 24747 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/10 22:39:18.456, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 81 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/04/10 22:39:18.456, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 81 %, 32510 MiB, 7934 MiB, 24576 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/10 22:39:18.460, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7742 MiB, 24768 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/10 22:39:18.462, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 7742 MiB, 24768 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/10 22:39:18.462, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 84 %, 32510 MiB, 7763 MiB, 24747 MiB 2022/04/10 22:39:18.463, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 67 %, 32510 MiB, 7884 MiB, 24626 MiB 2022/04/10 22:39:18.463, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 67 %, 32510 MiB, 7884 MiB, 24626 MiB 2022/04/10 22:39:18.466, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 81 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/04/10 22:39:18.466, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 84 %, 32510 MiB, 7763 MiB, 24747 MiB 2022/04/10 22:39:18.468, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 81 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/04/10 22:39:18.467, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 84 %, 32510 MiB, 7763 MiB, 24747 MiB 2022/04/10 22:39:18.469, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 52 %, 32510 MiB, 7742 MiB, 24768 MiB 2022/04/10 22:39:18.468, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 84 %, 32510 MiB, 7763 MiB, 24747 MiB 2022/04/10 22:39:18.469, Tesla V100-SXM2-32GB, 470.57.02, 77 %, 65 %, 32510 MiB, 7866 MiB, 24644 MiB 2022/04/10 22:39:18.470, Tesla V100-SXM2-32GB, 470.57.02, 77 %, 65 %, 32510 MiB, 7866 MiB, 24644 MiB 2022/04/10 22:39:18.474, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 67 %, 32510 MiB, 7884 MiB, 24626 MiB 2022/04/10 22:39:18.475, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 52 %, 32510 MiB, 7742 MiB, 24768 MiB 2022/04/10 22:39:18.476, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 67 %, 32510 MiB, 7884 MiB, 24626 MiB 2022/04/10 22:39:18.476, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 52 %, 32510 MiB, 7742 MiB, 24768 MiB 2022/04/10 22:39:18.477, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 81 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/04/10 22:39:18.477, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 52 %, 32510 MiB, 7742 MiB, 24768 MiB 2022/04/10 22:39:18.478, Tesla V100-SXM2-32GB, 470.57.02, 75 %, 64 %, 32510 MiB, 7772 MiB, 24738 MiB 2022/04/10 22:39:18.478, Tesla V100-SXM2-32GB, 470.57.02, 75 %, 64 %, 32510 MiB, 7772 MiB, 24738 MiB 2022/04/10 22:39:18.483, Tesla V100-SXM2-32GB, 470.57.02, 77 %, 65 %, 32510 MiB, 7866 MiB, 24644 MiB 2022/04/10 22:39:18.484, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 81 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/04/10 22:39:18.484, Tesla V100-SXM2-32GB, 470.57.02, 77 %, 65 %, 32510 MiB, 7866 MiB, 24644 MiB 2022/04/10 22:39:18.485, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 81 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/04/10 22:39:18.486, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 67 %, 32510 MiB, 7884 MiB, 24626 MiB 2022/04/10 22:39:18.486, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 59 %, 32510 MiB, 7604 MiB, 24906 MiB 2022/04/10 22:39:18.486, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 81 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/04/10 22:39:18.487, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 59 %, 32510 MiB, 7604 MiB, 24906 MiB 2022/04/10 22:39:18.492, Tesla V100-SXM2-32GB, 470.57.02, 75 %, 64 %, 32510 MiB, 7772 MiB, 24738 MiB 2022/04/10 22:39:18.493, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 67 %, 32510 MiB, 7884 MiB, 24626 MiB 2022/04/10 22:39:18.493, Tesla V100-SXM2-32GB, 470.57.02, 75 %, 64 %, 32510 MiB, 7772 MiB, 24738 MiB 2022/04/10 22:39:18.494, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 67 %, 32510 MiB, 7884 MiB, 24626 MiB 2022/04/10 22:39:18.495, Tesla V100-SXM2-32GB, 470.57.02, 77 %, 65 %, 32510 MiB, 7866 MiB, 24644 MiB 2022/04/10 22:39:18.495, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 60 %, 32510 MiB, 7792 MiB, 24718 MiB 2022/04/10 22:39:18.495, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 67 %, 32510 MiB, 7884 MiB, 24626 MiB 2022/04/10 22:39:18.496, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 60 %, 32510 MiB, 7792 MiB, 24718 MiB 2022/04/10 22:39:18.500, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 59 %, 32510 MiB, 7604 MiB, 24906 MiB 2022/04/10 22:39:18.501, Tesla V100-SXM2-32GB, 470.57.02, 77 %, 65 %, 32510 MiB, 7866 MiB, 24644 MiB 2022/04/10 22:39:18.502, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 59 %, 32510 MiB, 7604 MiB, 24906 MiB 2022/04/10 22:39:18.502, Tesla V100-SXM2-32GB, 470.57.02, 77 %, 65 %, 32510 MiB, 7866 MiB, 24644 MiB 2022/04/10 22:39:18.503, Tesla V100-SXM2-32GB, 470.57.02, 75 %, 64 %, 32510 MiB, 7772 MiB, 24738 MiB 2022/04/10 22:39:18.504, Tesla V100-SXM2-32GB, 470.57.02, 77 %, 65 %, 32510 MiB, 7866 MiB, 24644 MiB 2022/04/10 22:39:18.508, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 60 %, 32510 MiB, 7792 MiB, 24718 MiB 2022/04/10 22:39:18.509, Tesla V100-SXM2-32GB, 470.57.02, 75 %, 64 %, 32510 MiB, 7772 MiB, 24738 MiB 2022/04/10 22:39:18.510, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 60 %, 32510 MiB, 7792 MiB, 24718 MiB 2022/04/10 22:39:18.510, Tesla V100-SXM2-32GB, 470.57.02, 75 %, 64 %, 32510 MiB, 7772 MiB, 24738 MiB 2022/04/10 22:39:18.511, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 59 %, 32510 MiB, 7604 MiB, 24906 MiB 2022/04/10 22:39:18.511, Tesla V100-SXM2-32GB, 470.57.02, 75 %, 64 %, 32510 MiB, 7772 MiB, 24738 MiB 2022/04/10 22:39:18.516, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 59 %, 32510 MiB, 7604 MiB, 24906 MiB 2022/04/10 22:39:18.517, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 59 %, 32510 MiB, 7604 MiB, 24906 MiB 2022/04/10 22:39:18.518, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 60 %, 32510 MiB, 7792 MiB, 24718 MiB 2022/04/10 22:39:18.518, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 59 %, 32510 MiB, 7604 MiB, 24906 MiB 2022/04/10 22:39:18.523, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 60 %, 32510 MiB, 7792 MiB, 24718 MiB 2022/04/10 22:39:18.524, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 59 %, 32510 MiB, 7792 MiB, 24718 MiB 2022/04/10 22:39:18.528, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 59 %, 32510 MiB, 7792 MiB, 24718 MiB [rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86752, top1: 0.00102, throughput: 1369.86 | 2022-04-10 22:39:55.534 [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86699, top1: 0.00123, throughput: 1369.85 | 2022-04-10 22:39:55.536 [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86746, top1: 0.00113, throughput: 1369.83 | 2022-04-10 22:39:55.536 [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86766, top1: 0.00090, throughput: 1369.88 | 2022-04-10 22:39:55.536 [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86755, top1: 0.00113, throughput: 1370.05 | 2022-04-10 22:39:55.537 [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86748, top1: 0.00119, throughput: 1369.98 | 2022-04-10 22:39:55.540 [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86724, top1: 0.00105, throughput: 1369.83 [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86739, top1: 0.00086, throughput: 1369.90| 2022-04-10 22:39:55.538 | 2022-04-10 22:39:55.537 [rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86745, top1: 0.00088, throughput: 1309.24 | 2022-04-10 22:40:34.641 [rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86733, top1: 0.00100, throughput: 1309.23 | 2022-04-10 22:40:34.643 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86742, top1: 0.00100, throughput: 1309.14 | 2022-04-10 22:40:34.645 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86760, top1: 0.00125, throughput: 1309.19 | 2022-04-10 22:40:34.645 [rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86769, top1: 0.00105, throughput: 1309.15 | 2022-04-10 22:40:34.645 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86756, top1: 0.00113, throughput: 1309.14 | 2022-04-10 22:40:34.649 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86728, top1: 0.00074, throughput: 1309.19 | 2022-04-10 22:40:34.646 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86748, top1: 0.00104, throughput: 1309.16 | 2022-04-10 22:40:34.646