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: /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 loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 W20220521 01:44:59.969700 2038 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 ............................... 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 .................................. 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: 3.15792 s ***** [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86744, top1: 0.00129, throughput: 263.48 | 2022-05-21 01:46:52.647 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86714, top1: 0.00125, throughput: 263.45 | 2022-05-21 01:46:52.647 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86739, top1: 0.00109, throughput: 263.45 | 2022-05-21 01:46:52.646 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86762, top1: 0.00148, throughput: 263.45 | 2022-05-21 01:46:52.647 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86753, top1: 0.00152, throughput: 263.46 | 2022-05-21 01:46:52.647 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86720, top1: 0.00066, throughput: 263.45 | 2022-05-21 01:46:52.647 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86745, top1: 0.00094, throughput: 263.45 | 2022-05-21 01:46:52.648 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86699, top1: 0.00125, throughput: 263.44 | 2022-05-21 01:46:52.650 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] 2022/05/21 01:46:52.917, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7813 MiB, 24697 MiB 2022/05/21 01:46:52.918, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7813 MiB, 24697 MiB 2022/05/21 01:46:52.920, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7813 MiB, 24697 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/21 01:46:52.926, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7813 MiB, 24697 MiB 2022/05/21 01:46:52.928, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7770 MiB, 24740 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/21 01:46:52.929, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7770 MiB, 24740 MiB 2022/05/21 01:46:52.931, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7770 MiB, 24740 MiB 2022/05/21 01:46:52.935, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7770 MiB, 24740 MiB 2022/05/21 01:46:52.935, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7813 MiB, 24697 MiB 2022/05/21 01:46:52.940, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7954 MiB, 24556 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/21 01:46:52.945, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7954 MiB, 24556 MiB 2022/05/21 01:46:52.944, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7813 MiB, 24697 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/21 01:46:52.947, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7954 MiB, 24556 MiB 2022/05/21 01:46:52.950, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7954 MiB, 24556 MiB 2022/05/21 01:46:52.950, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7770 MiB, 24740 MiB 2022/05/21 01:46:52.950, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7822 MiB, 24688 MiB 2022/05/21 01:46:52.952, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7822 MiB, 24688 MiB 2022/05/21 01:46:52.951, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7813 MiB, 24697 MiB 2022/05/21 01:46:52.952, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7770 MiB, 24740 MiB 2022/05/21 01:46:52.953, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7813 MiB, 24697 MiB 2022/05/21 01:46:52.954, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7822 MiB, 24688 MiB 2022/05/21 01:46:52.961, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7822 MiB, 24688 MiB 2022/05/21 01:46:52.961, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7954 MiB, 24556 MiB 2022/05/21 01:46:52.961, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7882 MiB, 24628 MiB 2022/05/21 01:46:52.963, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7882 MiB, 24628 MiB 2022/05/21 01:46:52.963, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7770 MiB, 24740 MiB 2022/05/21 01:46:52.964, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7954 MiB, 24556 MiB 2022/05/21 01:46:52.965, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7770 MiB, 24740 MiB 2022/05/21 01:46:52.965, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7882 MiB, 24628 MiB 2022/05/21 01:46:52.969, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7882 MiB, 24628 MiB 2022/05/21 01:46:52.969, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7822 MiB, 24688 MiB 2022/05/21 01:46:52.970, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7704 MiB, 24806 MiB 2022/05/21 01:46:52.971, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7704 MiB, 24806 MiB 2022/05/21 01:46:52.972, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7954 MiB, 24556 MiB 2022/05/21 01:46:52.972, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7822 MiB, 24688 MiB 2022/05/21 01:46:52.973, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7954 MiB, 24556 MiB 2022/05/21 01:46:52.974, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7704 MiB, 24806 MiB 2022/05/21 01:46:52.979, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7704 MiB, 24806 MiB 2022/05/21 01:46:52.980, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7882 MiB, 24628 MiB 2022/05/21 01:46:52.980, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7620 MiB, 24890 MiB 2022/05/21 01:46:52.982, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7620 MiB, 24890 MiB 2022/05/21 01:46:52.982, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7822 MiB, 24688 MiB 2022/05/21 01:46:52.982, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7882 MiB, 24628 MiB 2022/05/21 01:46:52.989, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7822 MiB, 24688 MiB 2022/05/21 01:46:52.989, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7620 MiB, 24890 MiB 2022/05/21 01:46:52.993, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7620 MiB, 24890 MiB 2022/05/21 01:46:52.993, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7704 MiB, 24806 MiB 2022/05/21 01:46:52.994, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7768 MiB, 24742 MiB 2022/05/21 01:46:52.997, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7768 MiB, 24742 MiB 2022/05/21 01:46:52.997, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7882 MiB, 24628 MiB 2022/05/21 01:46:52.997, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7704 MiB, 24806 MiB 2022/05/21 01:46:52.999, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7882 MiB, 24628 MiB 2022/05/21 01:46:52.999, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7768 MiB, 24742 MiB 2022/05/21 01:46:53.003, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7768 MiB, 24742 MiB 2022/05/21 01:46:53.004, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7620 MiB, 24890 MiB 2022/05/21 01:46:53.006, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7704 MiB, 24806 MiB 2022/05/21 01:46:53.006, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7620 MiB, 24890 MiB 2022/05/21 01:46:53.008, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7704 MiB, 24806 MiB 2022/05/21 01:46:53.012, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7768 MiB, 24742 MiB 2022/05/21 01:46:53.013, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7620 MiB, 24890 MiB 2022/05/21 01:46:53.014, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7768 MiB, 24742 MiB 2022/05/21 01:46:53.015, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7620 MiB, 24890 MiB 2022/05/21 01:46:53.022, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7768 MiB, 24742 MiB 2022/05/21 01:46:53.023, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7768 MiB, 24742 MiB [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86745, top1: 0.00102, throughput: 371.25 | 2022-05-21 01:48:01.604 [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86735, top1: 0.00172, throughput: 371.25 | 2022-05-21 01:48:01.603 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86736, top1: 0.00133, throughput: 371.24 | 2022-05-21 01:48:01.604 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86741, top1: 0.00105, throughput: 371.25 | 2022-05-21 01:48:01.604 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86746, top1: 0.00160, throughput: 371.23 | 2022-05-21 01:48:01.605 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86731, top1: 0.00152, throughput: 371.25 | 2022-05-21 01:48:01.604 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86732, top1: 0.00090, throughput: 371.25 | 2022-05-21 01:48:01.606 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86725, top1: 0.00148, throughput: 371.25 | 2022-05-21 01:48:01.603 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86705, top1: 0.00145, throughput: 374.23 | 2022-05-21 01:49:10.012 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86720, top1: 0.00105, throughput: 374.17 | 2022-05-21 01:49:10.021 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86738, top1: 0.00125, throughput: 374.18 | 2022-05-21 01:49:10.020 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86748, top1: 0.00133, throughput: 374.18 | 2022-05-21 01:49:10.021 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86713, top1: 0.00129, throughput: 374.18 | 2022-05-21 01:49:10.020 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86736, top1: 0.00125, throughput: 374.19 | 2022-05-21 01:49:10.020 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86691, top1: 0.00176, throughput: 374.18 | 2022-05-21 01:49:10.022 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86736, top1: 0.00176, throughput: 374.17 | 2022-05-21 01:49:10.021