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: /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 ------------------------ 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: 2.85726 s ***** [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86720, top1: 0.00072, throughput: 454.84 | 2022-04-26 10:26:51.678 [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86721, top1: 0.00084, throughput: 454.83 | 2022-04-26 10:26:51.677 [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86735, top1: 0.00104, throughput: 454.84 | 2022-04-26 10:26:51.676 [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86747, top1: 0.00084, throughput: 454.83 | 2022-04-26 10:26:51.679 [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86725, top1: 0.00104, throughput: 454.83 | 2022-04-26 10:26:51.678 [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86721, top1: 0.00094, throughput: 454.82 | 2022-04-26 10:26:51.679 [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86743, top1: 0.00090, throughput: 454.82 | 2022-04-26 10:26:51.679 [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86728, top1: 0.00084, throughput: 454.81 | 2022-04-26 10:26:51.683 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] 2022/04/26 10:26:52.018, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 82 %, 32510 MiB, 8563 MiB, 23947 MiB 2022/04/26 10:26:52.045, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 82 %, 32510 MiB, 8563 MiB, 23947 MiB 2022/04/26 10:26:52.069, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 82 %, 32510 MiB, 8563 MiB, 23947 MiB 2022/04/26 10:26:52.070, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 82 %, 32510 MiB, 8563 MiB, 23947 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/26 10:26:52.086, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 8552 MiB, 23958 MiB 2022/04/26 10:26:52.087, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 8552 MiB, 23958 MiB 2022/04/26 10:26:52.089, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8552 MiB, 23958 MiB 2022/04/26 10:26:52.089, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8552 MiB, 23958 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] 2022/04/26 10:26:52.108, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 68 %, 32510 MiB, 8563 MiB, 23947 MiB 2022/04/26 10:26:52.109, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 94 %, 32510 MiB, 8684 MiB, 23826 MiB 2022/04/26 10:26:52.110, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8684 MiB, 23826 MiB 2022/04/26 10:26:52.133, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8684 MiB, 23826 MiB 2022/04/26 10:26:52.134, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8684 MiB, 23826 MiB 2022/04/26 10:26:52.134, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 68 %, 32510 MiB, 8563 MiB, 23947 MiB 2022/04/26 10:26:52.134, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 68 %, 32510 MiB, 8563 MiB, 23947 MiB 2022/04/26 10:26:52.144, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 68 %, 32510 MiB, 8563 MiB, 23947 MiB 2022/04/26 10:26:52.145, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8552 MiB, 23958 MiB 2022/04/26 10:26:52.146, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8656 MiB, 23854 MiB 2022/04/26 10:26:52.149, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8656 MiB, 23854 MiB 2022/04/26 10:26:52.151, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8656 MiB, 23854 MiB 2022/04/26 10:26:52.153, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8656 MiB, 23854 MiB 2022/04/26 10:26:52.155, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8552 MiB, 23958 MiB 2022/04/26 10:26:52.155, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8552 MiB, 23958 MiB 2022/04/26 10:26:52.182, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8552 MiB, 23958 MiB 2022/04/26 10:26:52.182, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8684 MiB, 23826 MiB 2022/04/26 10:26:52.182, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 71 %, 32510 MiB, 8652 MiB, 23858 MiB 2022/04/26 10:26:52.184, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 71 %, 32510 MiB, 8652 MiB, 23858 MiB 2022/04/26 10:26:52.186, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 71 %, 32510 MiB, 8652 MiB, 23858 MiB 2022/04/26 10:26:52.188, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 71 %, 32510 MiB, 8652 MiB, 23858 MiB 2022/04/26 10:26:52.189, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8684 MiB, 23826 MiB 2022/04/26 10:26:52.189, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8684 MiB, 23826 MiB 2022/04/26 10:26:52.194, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8684 MiB, 23826 MiB 2022/04/26 10:26:52.194, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8656 MiB, 23854 MiB 2022/04/26 10:26:52.195, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8536 MiB, 23974 MiB 2022/04/26 10:26:52.196, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8536 MiB, 23974 MiB 2022/04/26 10:26:52.198, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8536 MiB, 23974 MiB 2022/04/26 10:26:52.199, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8536 MiB, 23974 MiB 2022/04/26 10:26:52.200, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8656 MiB, 23854 MiB 2022/04/26 10:26:52.200, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8656 MiB, 23854 MiB 2022/04/26 10:26:52.204, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 8656 MiB, 23854 MiB 2022/04/26 10:26:52.204, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 71 %, 32510 MiB, 8652 MiB, 23858 MiB 2022/04/26 10:26:52.209, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 8386 MiB, 24124 MiB 2022/04/26 10:26:52.214, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 8386 MiB, 24124 MiB 2022/04/26 10:26:52.215, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 8386 MiB, 24124 MiB 2022/04/26 10:26:52.216, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 8386 MiB, 24124 MiB 2022/04/26 10:26:52.217, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 71 %, 32510 MiB, 8652 MiB, 23858 MiB 2022/04/26 10:26:52.217, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 71 %, 32510 MiB, 8652 MiB, 23858 MiB 2022/04/26 10:26:52.221, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 71 %, 32510 MiB, 8652 MiB, 23858 MiB 2022/04/26 10:26:52.222, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8536 MiB, 23974 MiB 2022/04/26 10:26:52.222, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8624 MiB, 23886 MiB 2022/04/26 10:26:52.225, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8624 MiB, 23886 MiB 2022/04/26 10:26:52.227, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8624 MiB, 23886 MiB 2022/04/26 10:26:52.227, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8624 MiB, 23886 MiB 2022/04/26 10:26:52.227, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8536 MiB, 23974 MiB 2022/04/26 10:26:52.228, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8536 MiB, 23974 MiB 2022/04/26 10:26:52.231, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8536 MiB, 23974 MiB 2022/04/26 10:26:52.231, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 8386 MiB, 24124 MiB 2022/04/26 10:26:52.238, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 8386 MiB, 24124 MiB 2022/04/26 10:26:52.238, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 8386 MiB, 24124 MiB 2022/04/26 10:26:52.241, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 8386 MiB, 24124 MiB 2022/04/26 10:26:52.241, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8624 MiB, 23886 MiB 2022/04/26 10:26:52.244, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8624 MiB, 23886 MiB 2022/04/26 10:26:52.244, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8624 MiB, 23886 MiB 2022/04/26 10:26:52.247, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 8624 MiB, 23886 MiB [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86741, top1: 0.00084, throughput: 1336.90 | 2022-04-26 10:27:29.976 [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86715, top1: 0.00100, throughput: 1336.87 | 2022-04-26 10:27:29.978 [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86722, top1: 0.00076, throughput: 1336.95 | 2022-04-26 10:27:29.979 [rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86719, top1: 0.00109, throughput: 1336.75 | 2022-04-26 10:27:29.978 [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86741, top1: 0.00088, throughput: 1336.77 | 2022-04-26 10:27:29.979 [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86736, top1: 0.00109, throughput: 1336.84 | 2022-04-26 10:27:29.977 [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86715, top1: 0.00080, throughput: 1336.78 | 2022-04-26 10:27:29.979 [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86733, top1: 0.00086, throughput: 1336.78 | 2022-04-26 10:27:29.980 [rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86707, top1: 0.00090, throughput: 1327.46 | 2022-04-26 10:28:08.546 [rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86728, top1: 0.00090, throughput: 1327.52 | 2022-04-26 10:28:08.547 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86741, top1: 0.00107, throughput: 1327.44 | 2022-04-26 10:28:08.548 [rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86715, top1: 0.00084, throughput: 1327.54 | 2022-04-26 10:28:08.546 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86727, top1: 0.00117, throughput: 1327.48 | 2022-04-26 10:28:08.546 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86732, top1: 0.00090, throughput: 1327.51 | 2022-04-26 10:28:08.548 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86704, top1: 0.00086, throughput: 1327.55 | 2022-04-26 10:28:08.547 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86739, top1: 0.00086, throughput: 1327.50 | 2022-04-26 10:28:08.549