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 W20220419 01:59:39.102066 405 rpc_client.cpp:190] LoadServer 10.7.94.0 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: 2.65870 s ***** [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86711, top1: 0.00090, throughput: 427.65 | 2022-04-19 02:01:53.797 [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86732, top1: 0.00113, throughput: 427.55 | 2022-04-19 02:01:53.800 [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86739, top1: 0.00109, throughput: 427.62 | 2022-04-19 02:01:53.800 [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86723, top1: 0.00098, throughput: 427.70 | 2022-04-19 02:01:53.801 [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86724, top1: 0.00102, throughput: 427.47 | 2022-04-19 02:01:53.799 [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86733, top1: 0.00088, throughput: 427.70 | 2022-04-19 02:01:53.801 [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86745, top1: 0.00092, throughput: 427.73 | 2022-04-19 02:01:53.799 [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86713, top1: 0.00096, throughput: 427.87 | 2022-04-19 02:01:53.804 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] 2022/04/19 02:01:54.058, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7811 MiB, 24699 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/19 02:01:54.059, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7811 MiB, 24699 MiB 2022/04/19 02:01:54.060, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7811 MiB, 24699 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/19 02:01:54.064, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7788 MiB, 24722 MiB 2022/04/19 02:01:54.064, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7811 MiB, 24699 MiB 2022/04/19 02:01:54.066, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7788 MiB, 24722 MiB 2022/04/19 02:01:54.065, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7811 MiB, 24699 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] 2022/04/19 02:01:54.067, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7788 MiB, 24722 MiB 2022/04/19 02:01:54.071, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7974 MiB, 24536 MiB 2022/04/19 02:01:54.070, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7811 MiB, 24699 MiB 2022/04/19 02:01:54.071, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7788 MiB, 24722 MiB 2022/04/19 02:01:54.072, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7974 MiB, 24536 MiB 2022/04/19 02:01:54.073, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7788 MiB, 24722 MiB 2022/04/19 02:01:54.073, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7811 MiB, 24699 MiB 2022/04/19 02:01:54.074, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7974 MiB, 24536 MiB 2022/04/19 02:01:54.074, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7811 MiB, 24699 MiB 2022/04/19 02:01:54.079, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7922 MiB, 24588 MiB 2022/04/19 02:01:54.079, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7788 MiB, 24722 MiB 2022/04/19 02:01:54.080, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7974 MiB, 24536 MiB 2022/04/19 02:01:54.081, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7922 MiB, 24588 MiB 2022/04/19 02:01:54.081, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7974 MiB, 24536 MiB 2022/04/19 02:01:54.082, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7788 MiB, 24722 MiB 2022/04/19 02:01:54.082, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7922 MiB, 24588 MiB 2022/04/19 02:01:54.083, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7788 MiB, 24722 MiB 2022/04/19 02:01:54.086, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7952 MiB, 24558 MiB 2022/04/19 02:01:54.087, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7974 MiB, 24536 MiB 2022/04/19 02:01:54.087, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7922 MiB, 24588 MiB 2022/04/19 02:01:54.088, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7952 MiB, 24558 MiB 2022/04/19 02:01:54.089, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7922 MiB, 24588 MiB 2022/04/19 02:01:54.089, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7974 MiB, 24536 MiB 2022/04/19 02:01:54.090, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7952 MiB, 24558 MiB 2022/04/19 02:01:54.090, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 7974 MiB, 24536 MiB 2022/04/19 02:01:54.094, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 65 %, 32510 MiB, 7828 MiB, 24682 MiB 2022/04/19 02:01:54.095, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7922 MiB, 24588 MiB 2022/04/19 02:01:54.095, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7952 MiB, 24558 MiB 2022/04/19 02:01:54.096, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 65 %, 32510 MiB, 7828 MiB, 24682 MiB 2022/04/19 02:01:54.096, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7952 MiB, 24558 MiB 2022/04/19 02:01:54.097, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7922 MiB, 24588 MiB 2022/04/19 02:01:54.098, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 65 %, 32510 MiB, 7828 MiB, 24682 MiB 2022/04/19 02:01:54.098, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7922 MiB, 24588 MiB 2022/04/19 02:01:54.102, Tesla V100-SXM2-32GB, 470.57.02, 69 %, 62 %, 32510 MiB, 7686 MiB, 24824 MiB 2022/04/19 02:01:54.102, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7952 MiB, 24558 MiB 2022/04/19 02:01:54.103, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 65 %, 32510 MiB, 7828 MiB, 24682 MiB 2022/04/19 02:01:54.104, Tesla V100-SXM2-32GB, 470.57.02, 69 %, 62 %, 32510 MiB, 7686 MiB, 24824 MiB 2022/04/19 02:01:54.104, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 65 %, 32510 MiB, 7828 MiB, 24682 MiB 2022/04/19 02:01:54.104, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7952 MiB, 24558 MiB 2022/04/19 02:01:54.105, Tesla V100-SXM2-32GB, 470.57.02, 69 %, 62 %, 32510 MiB, 7686 MiB, 24824 MiB 2022/04/19 02:01:54.106, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 88 %, 32510 MiB, 7952 MiB, 24558 MiB 2022/04/19 02:01:54.109, Tesla V100-SXM2-32GB, 470.57.02, 93 %, 85 %, 32510 MiB, 7840 MiB, 24670 MiB 2022/04/19 02:01:54.110, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 65 %, 32510 MiB, 7828 MiB, 24682 MiB 2022/04/19 02:01:54.110, Tesla V100-SXM2-32GB, 470.57.02, 69 %, 62 %, 32510 MiB, 7686 MiB, 24824 MiB 2022/04/19 02:01:54.111, Tesla V100-SXM2-32GB, 470.57.02, 93 %, 85 %, 32510 MiB, 7840 MiB, 24670 MiB 2022/04/19 02:01:54.112, Tesla V100-SXM2-32GB, 470.57.02, 69 %, 62 %, 32510 MiB, 7686 MiB, 24824 MiB 2022/04/19 02:01:54.112, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 65 %, 32510 MiB, 7828 MiB, 24682 MiB 2022/04/19 02:01:54.113, Tesla V100-SXM2-32GB, 470.57.02, 93 %, 85 %, 32510 MiB, 7840 MiB, 24670 MiB 2022/04/19 02:01:54.113, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 65 %, 32510 MiB, 7828 MiB, 24682 MiB 2022/04/19 02:01:54.118, Tesla V100-SXM2-32GB, 470.57.02, 69 %, 62 %, 32510 MiB, 7686 MiB, 24824 MiB 2022/04/19 02:01:54.118, Tesla V100-SXM2-32GB, 470.57.02, 93 %, 85 %, 32510 MiB, 7840 MiB, 24670 MiB 2022/04/19 02:01:54.119, Tesla V100-SXM2-32GB, 470.57.02, 93 %, 85 %, 32510 MiB, 7840 MiB, 24670 MiB 2022/04/19 02:01:54.120, Tesla V100-SXM2-32GB, 470.57.02, 69 %, 62 %, 32510 MiB, 7686 MiB, 24824 MiB 2022/04/19 02:01:54.121, Tesla V100-SXM2-32GB, 470.57.02, 69 %, 62 %, 32510 MiB, 7686 MiB, 24824 MiB 2022/04/19 02:01:54.125, Tesla V100-SXM2-32GB, 470.57.02, 93 %, 85 %, 32510 MiB, 7840 MiB, 24670 MiB 2022/04/19 02:01:54.126, Tesla V100-SXM2-32GB, 470.57.02, 93 %, 85 %, 32510 MiB, 7840 MiB, 24670 MiB 2022/04/19 02:01:54.127, Tesla V100-SXM2-32GB, 470.57.02, 93 %, 85 %, 32510 MiB, 7840 MiB, 24670 MiB [rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86707, top1: 0.00104, throughput: 1288.99 | 2022-04-19 02:02:33.518 [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86719, top1: 0.00084, throughput: 1289.07 | 2022-04-19 02:02:33.519 [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86721, top1: 0.00078, throughput: 1289.06 | 2022-04-19 02:02:33.518 [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86721, top1: 0.00119, throughput: 1289.03 | 2022-04-19 02:02:33.519 [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86719, top1: 0.00094, throughput: 1289.27 | 2022-04-19 02:02:33.517 [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86733, top1: 0.00074, throughput: 1289.04 | 2022-04-19 02:02:33.520 [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86744, top1: 0.00080, throughput: 1289.02 | 2022-04-19 02:02:33.519 [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86726, top1: 0.00100, throughput: 1289.03 | 2022-04-19 02:02:33.521 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86715, top1: 0.00125, throughput: 1326.59 | 2022-04-19 02:03:12.114 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86725, top1: 0.00096, throughput: 1326.61 | 2022-04-19 02:03:12.114 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86732, top1: 0.00109, throughput: 1326.58 | 2022-04-19 02:03:12.114 [rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86714, top1: 0.00100, throughput: 1326.59 | 2022-04-19 02:03:12.114 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86741, top1: 0.00088, throughput: 1326.63[rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86721, top1: 0.00121, throughput: 1326.51 | 2022-04-19 02:03:12.114| 2022-04-19 02:03:12.113 [rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86725, top1: 0.00096, throughput: 1326.53 | 2022-04-19 02:03:12.115 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86710, top1: 0.00111, throughput: 1326.62 | 2022-04-19 02:03:12.115