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: /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: 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 ------------------------ 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: 2.70473 s ***** [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86698, top1: 0.00121, throughput: 260.93 | 2022-04-19 02:05:15.657 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86733, top1: 0.00129, throughput: 261.12 | 2022-04-19 02:05:15.657 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86780, top1: 0.00121, throughput: 261.08 | 2022-04-19 02:05:15.660 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86717, top1: 0.00141, throughput: 260.96 | 2022-04-19 02:05:15.658 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86715, top1: 0.00109, throughput: 261.00 | 2022-04-19 02:05:15.665 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86733, top1: 0.00070, throughput: 261.14 | 2022-04-19 02:05:15.664 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86768, top1: 0.00102, throughput: 261.04 | 2022-04-19 02:05:15.663 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86741, top1: 0.00105, throughput: 260.98 | 2022-04-19 02:05:15.663 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 02:05:15.989, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7749 MiB, 24761 MiB 2022/04/19 02:05:15.992, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7749 MiB, 24761 MiB 2022/04/19 02:05:15.994, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7749 MiB, 24761 MiB 2022/04/19 02:05:15.996, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7694 MiB, 24816 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 02:05:16.000, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7694 MiB, 24816 MiB 2022/04/19 02:05:16.002, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7694 MiB, 24816 MiB 2022/04/19 02:05:16.006, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/19 02:05:16.007, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7749 MiB, 24761 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/19 02:05:16.008, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7749 MiB, 24761 MiB 2022/04/19 02:05:16.008, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7749 MiB, 24761 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/19 02:05:16.010, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/19 02:05:16.011, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/19 02:05:16.013, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/04/19 02:05:16.014, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7694 MiB, 24816 MiB 2022/04/19 02:05:16.015, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7694 MiB, 24816 MiB 2022/04/19 02:05:16.015, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7694 MiB, 24816 MiB 2022/04/19 02:05:16.014, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7749 MiB, 24761 MiB 2022/04/19 02:05:16.016, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7749 MiB, 24761 MiB 2022/04/19 02:05:16.017, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/04/19 02:05:16.019, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/04/19 02:05:16.021, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7862 MiB, 24648 MiB 2022/04/19 02:05:16.023, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/19 02:05:16.027, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/19 02:05:16.028, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/19 02:05:16.028, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7694 MiB, 24816 MiB 2022/04/19 02:05:16.029, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7694 MiB, 24816 MiB 2022/04/19 02:05:16.030, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7862 MiB, 24648 MiB 2022/04/19 02:05:16.031, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7862 MiB, 24648 MiB 2022/04/19 02:05:16.033, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7718 MiB, 24792 MiB 2022/04/19 02:05:16.035, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/04/19 02:05:16.036, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/04/19 02:05:16.037, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/04/19 02:05:16.037, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/19 02:05:16.038, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/19 02:05:16.039, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7718 MiB, 24792 MiB 2022/04/19 02:05:16.040, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7718 MiB, 24792 MiB 2022/04/19 02:05:16.042, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7608 MiB, 24902 MiB 2022/04/19 02:05:16.044, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7862 MiB, 24648 MiB 2022/04/19 02:05:16.045, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7862 MiB, 24648 MiB 2022/04/19 02:05:16.045, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7862 MiB, 24648 MiB 2022/04/19 02:05:16.046, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/04/19 02:05:16.047, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/04/19 02:05:16.047, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7608 MiB, 24902 MiB 2022/04/19 02:05:16.049, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7608 MiB, 24902 MiB 2022/04/19 02:05:16.051, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7752 MiB, 24758 MiB 2022/04/19 02:05:16.053, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7718 MiB, 24792 MiB 2022/04/19 02:05:16.054, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7718 MiB, 24792 MiB 2022/04/19 02:05:16.054, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7718 MiB, 24792 MiB 2022/04/19 02:05:16.054, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7862 MiB, 24648 MiB 2022/04/19 02:05:16.055, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7862 MiB, 24648 MiB 2022/04/19 02:05:16.056, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7752 MiB, 24758 MiB 2022/04/19 02:05:16.058, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7752 MiB, 24758 MiB 2022/04/19 02:05:16.062, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7608 MiB, 24902 MiB 2022/04/19 02:05:16.062, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7608 MiB, 24902 MiB 2022/04/19 02:05:16.063, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7608 MiB, 24902 MiB 2022/04/19 02:05:16.063, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7718 MiB, 24792 MiB 2022/04/19 02:05:16.064, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7718 MiB, 24792 MiB 2022/04/19 02:05:16.070, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7752 MiB, 24758 MiB 2022/04/19 02:05:16.071, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7752 MiB, 24758 MiB 2022/04/19 02:05:16.071, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7752 MiB, 24758 MiB 2022/04/19 02:05:16.072, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7608 MiB, 24902 MiB 2022/04/19 02:05:16.073, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 7608 MiB, 24902 MiB 2022/04/19 02:05:16.080, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7752 MiB, 24758 MiB 2022/04/19 02:05:16.081, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7752 MiB, 24758 MiB [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86736, top1: 0.00098, throughput: 372.56 | 2022-04-19 02:06:24.370 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86726, top1: 0.00098, throughput: 372.52 | 2022-04-19 02:06:24.378 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86740, top1: 0.00109, throughput: 372.53 | 2022-04-19 02:06:24.378 [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86707, top1: 0.00133, throughput: 372.50 | 2022-04-19 02:06:24.384 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86731, top1: 0.00109, throughput: 372.53 | 2022-04-19 02:06:24.383 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86733, top1: 0.00078, throughput: 372.52 | 2022-04-19 02:06:24.385 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86713, top1: 0.00121, throughput: 372.52 | 2022-04-19 02:06:24.384 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86714, top1: 0.00105, throughput: 372.52 | 2022-04-19 02:06:24.385 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86714, top1: 0.00105, throughput: 377.84 | 2022-04-19 02:07:32.131 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86750, top1: 0.00094, throughput: 377.80 | 2022-04-19 02:07:32.131 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86734, top1: 0.00109, throughput: 377.85 | 2022-04-19 02:07:32.130 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86772, top1: 0.00117, throughput: 377.85 | 2022-04-19 02:07:32.136 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86750, top1: 0.00055, throughput: 377.85 | 2022-04-19 02:07:32.138 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86753, top1: 0.00125, throughput: 377.84 | 2022-04-19 02:07:32.138 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86731, top1: 0.00141, throughput: 377.84 | 2022-04-19 02:07:32.139 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86736, top1: 0.00121, throughput: 377.84 | 2022-04-19 02:07:32.137