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: /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 W20220502 02:05:11.210546 3666 rpc_client.cpp:190] LoadServer 10.7.76.124 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220502 02:05:11.210569 3665 rpc_client.cpp:190] LoadServer 10.7.76.124 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: 3.06995 s ***** [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86778, top1: 0.00150, throughput: 453.11 | 2022-05-02 02:07:19.646 [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86768, top1: 0.00104, throughput: 453.11 | 2022-05-02 02:07:19.644 [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86790, top1: 0.00131, throughput: 453.13 | 2022-05-02 02:07:19.645 [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86770, top1: 0.00133, throughput: 453.11 | 2022-05-02 02:07:19.645 [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86798, top1: 0.00119, throughput: 453.13 | 2022-05-02 02:07:19.644 [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86794, top1: 0.00123, throughput: 453.10 | 2022-05-02 02:07:19.648 [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86770, top1: 0.00111, throughput: 453.10 | 2022-05-02 02:07:19.645 [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86823, top1: 0.00115, throughput: 453.11 | 2022-05-02 02:07:19.646 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] 2022/05/02 02:07:19.981, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 76 %, 32510 MiB, 8561 MiB, 23949 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/02 02:07:19.982, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 76 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/02 02:07:19.983, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 76 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/02 02:07:19.985, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 76 %, 32510 MiB, 8561 MiB, 23949 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/02 02:07:19.989, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 8568 MiB, 23942 MiB 2022/05/02 02:07:19.989, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 76 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/02 02:07:19.991, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 8568 MiB, 23942 MiB 2022/05/02 02:07:19.993, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 8568 MiB, 23942 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/02 02:07:19.994, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 8568 MiB, 23942 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/02 02:07:19.995, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 76 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/02 02:07:19.996, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8720 MiB, 23790 MiB 2022/05/02 02:07:19.997, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 8568 MiB, 23942 MiB 2022/05/02 02:07:19.998, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8720 MiB, 23790 MiB 2022/05/02 02:07:19.999, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8720 MiB, 23790 MiB 2022/05/02 02:07:20.001, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8720 MiB, 23790 MiB 2022/05/02 02:07:20.000, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 76 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/02 02:07:20.002, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 76 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/02 02:07:20.003, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 8568 MiB, 23942 MiB 2022/05/02 02:07:20.003, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 8694 MiB, 23816 MiB 2022/05/02 02:07:20.004, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8720 MiB, 23790 MiB 2022/05/02 02:07:20.005, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 8694 MiB, 23816 MiB 2022/05/02 02:07:20.007, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 8694 MiB, 23816 MiB 2022/05/02 02:07:20.009, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 8694 MiB, 23816 MiB 2022/05/02 02:07:20.009, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 8568 MiB, 23942 MiB 2022/05/02 02:07:20.011, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 8568 MiB, 23942 MiB 2022/05/02 02:07:20.011, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8720 MiB, 23790 MiB 2022/05/02 02:07:20.012, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8710 MiB, 23800 MiB 2022/05/02 02:07:20.013, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 8694 MiB, 23816 MiB 2022/05/02 02:07:20.014, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8710 MiB, 23800 MiB 2022/05/02 02:07:20.016, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8710 MiB, 23800 MiB 2022/05/02 02:07:20.018, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8710 MiB, 23800 MiB 2022/05/02 02:07:20.018, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8720 MiB, 23790 MiB 2022/05/02 02:07:20.020, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 89 %, 32510 MiB, 8720 MiB, 23790 MiB 2022/05/02 02:07:20.020, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 8694 MiB, 23816 MiB 2022/05/02 02:07:20.021, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 77 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/02 02:07:20.022, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8710 MiB, 23800 MiB 2022/05/02 02:07:20.023, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 77 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/02 02:07:20.025, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 77 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/02 02:07:20.031, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 77 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/02 02:07:20.032, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 8694 MiB, 23816 MiB 2022/05/02 02:07:20.033, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 83 %, 32510 MiB, 8694 MiB, 23816 MiB 2022/05/02 02:07:20.034, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8710 MiB, 23800 MiB 2022/05/02 02:07:20.034, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 92 %, 32510 MiB, 8462 MiB, 24048 MiB 2022/05/02 02:07:20.036, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 70 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/02 02:07:20.037, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 92 %, 32510 MiB, 8462 MiB, 24048 MiB 2022/05/02 02:07:20.038, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 92 %, 32510 MiB, 8462 MiB, 24048 MiB 2022/05/02 02:07:20.041, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 92 %, 32510 MiB, 8462 MiB, 24048 MiB 2022/05/02 02:07:20.052, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8710 MiB, 23800 MiB 2022/05/02 02:07:20.054, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 84 %, 32510 MiB, 8710 MiB, 23800 MiB 2022/05/02 02:07:20.054, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 70 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/02 02:07:20.055, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 76 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/02 02:07:20.072, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 92 %, 32510 MiB, 8462 MiB, 24048 MiB 2022/05/02 02:07:20.073, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 76 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/02 02:07:20.077, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 76 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/02 02:07:20.079, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 76 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/02 02:07:20.087, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 70 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/02 02:07:20.090, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 70 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/02 02:07:20.091, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 92 %, 32510 MiB, 8462 MiB, 24048 MiB 2022/05/02 02:07:20.092, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 76 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/02 02:07:20.099, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 92 %, 32510 MiB, 8462 MiB, 24048 MiB 2022/05/02 02:07:20.112, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 92 %, 32510 MiB, 8462 MiB, 24048 MiB 2022/05/02 02:07:20.112, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 76 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/02 02:07:20.121, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 76 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/02 02:07:20.129, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 76 %, 32510 MiB, 8602 MiB, 23908 MiB [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86779, top1: 0.00129, throughput: 1362.27 | 2022-05-02 02:07:57.229 [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86781, top1: 0.00113, throughput: 1362.23 | 2022-05-02 02:07:57.231 [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86783, top1: 0.00115, throughput: 1362.31 | 2022-05-02 02:07:57.231 [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86769, top1: 0.00123, throughput: 1362.18 | 2022-05-02 02:07:57.232 [rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86778, top1: 0.00123, throughput: 1362.20 | 2022-05-02 02:07:57.230 [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86799, top1: 0.00115, throughput: 1362.27 | 2022-05-02 02:07:57.231 [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86787, top1: 0.00094, throughput: 1362.16 | 2022-05-02 02:07:57.231 [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86779, top1: 0.00111, throughput: 1362.10 | 2022-05-02 02:07:57.235 [rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86791, top1: 0.00121, throughput: 1366.59 | 2022-05-02 02:08:34.696 [rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86786, top1: 0.00100, throughput: 1366.62 | 2022-05-02 02:08:34.696 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86790, top1: 0.00141, throughput: 1366.66 | 2022-05-02 02:08:34.698 [rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86783, top1: 0.00121, throughput: 1366.58 | 2022-05-02 02:08:34.697 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86767, top1: 0.00131, throughput: 1366.54 | 2022-05-02 02:08:34.699 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86788, top1: 0.00115, throughput: 1366.49 | 2022-05-02 02:08:34.699 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86778, top1: 0.00113, throughput: 1366.47 | 2022-05-02 02:08:34.698 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86778, top1: 0.00111, throughput: 1366.55 | 2022-05-02 02:08:34.697