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 ............................................. True exit_num ........................................ 300 fuse_bn_add_relu ................................ False fuse_bn_relu .................................... False gpu_stat_file ................................... None grad_clipping ................................... 0.0 graph ........................................... False 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 ...................................... False skip_eval ....................................... True synthetic_data .................................. False total_batches ................................... -1 train_batch_size ................................ 256 train_global_batch_size ......................... 2048 use_fp16 ........................................ False 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: 2.85721 s ***** [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86765, lr: 0.000000, top1: 0.00121, throughput: 277.84 | 2022-05-16 07:17:19.241 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86753, lr: 0.000000, top1: 0.00113, throughput: 277.74 | 2022-05-16 07:17:19.283 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86791, lr: 0.000000, top1: 0.00125, throughput: 277.76 | 2022-05-16 07:17:19.290 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86771, lr: 0.000000, top1: 0.00090, throughput: 277.51 | 2022-05-16 07:17:19.292 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86802, lr: 0.000000, top1: 0.00082, throughput: 277.95 | 2022-05-16 07:17:19.220 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86767, lr: 0.000000, top1: 0.00094, throughput: 277.78 | 2022-05-16 07:17:19.326 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86785, lr: 0.000000, top1: 0.00098, throughput: 277.88 | 2022-05-16 07:17:19.240 2022/05/16 07:17:19.345, Tesla V100-SXM2-32GB, 470.57.02, 65 %, 26 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/16 07:17:19.350, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 25 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/16 07:17:19.351, Tesla V100-SXM2-32GB, 470.57.02, 80 %, 54 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/05/16 07:17:19.353, Tesla V100-SXM2-32GB, 470.57.02, 46 %, 33 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/16 07:17:19.356, Tesla V100-SXM2-32GB, 470.57.02, 43 %, 31 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/05/16 07:17:19.359, Tesla V100-SXM2-32GB, 470.57.02, 11 %, 7 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/16 07:17:19.362, Tesla V100-SXM2-32GB, 470.57.02, 75 %, 52 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/05/16 07:17:19.364, Tesla V100-SXM2-32GB, 470.57.02, 38 %, 5 %, 32510 MiB, 5130 MiB, 27380 MiB [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86751, lr: 0.000000, top1: 0.00102, throughput: 278.01 | 2022-05-16 07:17:19.235 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/16 07:17:19.457, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/16 07:17:19.462, Tesla V100-SXM2-32GB, 470.57.02, 46 %, 22 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/16 07:17:19.466, Tesla V100-SXM2-32GB, 470.57.02, 55 %, 19 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/05/16 07:17:19.470, Tesla V100-SXM2-32GB, 470.57.02, 75 %, 15 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/16 07:17:19.476, Tesla V100-SXM2-32GB, 470.57.02, 55 %, 19 %, 32510 MiB, 5174 MiB, 27336 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/16 07:17:19.480, Tesla V100-SXM2-32GB, 470.57.02, 11 %, 7 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/16 07:17:19.482, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/16 07:17:19.484, Tesla V100-SXM2-32GB, 470.57.02, 42 %, 0 %, 32510 MiB, 5050 MiB, 27460 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/16 07:17:19.487, Tesla V100-SXM2-32GB, 470.57.02, 46 %, 22 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/16 07:17:19.494, Tesla V100-SXM2-32GB, 470.57.02, 38 %, 5 %, 32510 MiB, 5130 MiB, 27380 MiB 2022/05/16 07:17:19.494, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/16 07:17:19.498, Tesla V100-SXM2-32GB, 470.57.02, 55 %, 19 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/05/16 07:17:19.501, Tesla V100-SXM2-32GB, 470.57.02, 46 %, 22 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/16 07:17:19.503, Tesla V100-SXM2-32GB, 470.57.02, 75 %, 15 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/16 07:17:19.507, Tesla V100-SXM2-32GB, 470.57.02, 55 %, 19 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/05/16 07:17:19.515, Tesla V100-SXM2-32GB, 470.57.02, 55 %, 19 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/05/16 07:17:19.518, Tesla V100-SXM2-32GB, 470.57.02, 75 %, 15 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/16 07:17:19.531, Tesla V100-SXM2-32GB, 470.57.02, 21 %, 10 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/16 07:17:19.534, Tesla V100-SXM2-32GB, 470.57.02, 55 %, 19 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/05/16 07:17:19.537, Tesla V100-SXM2-32GB, 470.57.02, 42 %, 0 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/05/16 07:17:19.547, Tesla V100-SXM2-32GB, 470.57.02, 21 %, 10 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/16 07:17:19.559, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 5130 MiB, 27380 MiB 2022/05/16 07:17:19.587, Tesla V100-SXM2-32GB, 470.57.02, 86 %, 76 %, 32510 MiB, 5050 MiB, 27460 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] 2022/05/16 07:17:19.594, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 5130 MiB, 27380 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/16 07:17:19.604, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/16 07:17:19.604, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/16 07:17:19.612, Tesla V100-SXM2-32GB, 470.57.02, 46 %, 22 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/16 07:17:19.612, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/16 07:17:19.613, Tesla V100-SXM2-32GB, 470.57.02, 46 %, 22 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/16 07:17:19.625, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/05/16 07:17:19.626, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/16 07:17:19.626, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/05/16 07:17:19.647, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/16 07:17:19.647, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/05/16 07:17:19.647, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/16 07:17:19.666, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/05/16 07:17:19.666, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/16 07:17:19.667, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 5174 MiB, 27336 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/16 07:17:19.686, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/16 07:17:19.686, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/05/16 07:17:19.686, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/16 07:17:19.701, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 71 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/16 07:17:19.702, Tesla V100-SXM2-32GB, 470.57.02, 86 %, 74 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/05/16 07:17:19.702, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/16 07:17:19.702, Tesla V100-SXM2-32GB, 470.57.02, 86 %, 74 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/05/16 07:17:19.707, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/16 07:17:19.707, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 65 %, 32510 MiB, 5130 MiB, 27380 MiB 2022/05/16 07:17:19.707, Tesla V100-SXM2-32GB, 470.57.02, 86 %, 74 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/05/16 07:17:19.707, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 65 %, 32510 MiB, 5130 MiB, 27380 MiB 2022/05/16 07:17:19.727, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 46 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/05/16 07:17:19.728, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 65 %, 32510 MiB, 5130 MiB, 27380 MiB 2022/05/16 07:17:19.745, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/16 07:17:19.750, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/05/16 07:17:19.760, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/16 07:17:19.770, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/05/16 07:17:19.783, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 65 %, 32510 MiB, 5130 MiB, 27380 MiB [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86753, lr: 0.000000, top1: 0.00117, throughput: 293.95 | 2022-05-16 07:18:46.329 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86746, lr: 0.000000, top1: 0.00137, throughput: 294.04 | 2022-05-16 07:18:46.354 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86776, lr: 0.000000, top1: 0.00133, throughput: 293.84 | 2022-05-16 07:18:46.362 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86792, lr: 0.000000, top1: 0.00137, throughput: 294.09 | 2022-05-16 07:18:46.373 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86783, lr: 0.000000, top1: 0.00090, throughput: 293.89 | 2022-05-16 07:18:46.391 [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86762, lr: 0.000000, top1: 0.00098, throughput: 293.90 | 2022-05-16 07:18:46.395 [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86782, lr: 0.000000, top1: 0.00098, throughput: 293.56 | 2022-05-16 07:18:46.424 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86755, lr: 0.000000, top1: 0.00094, throughput: 293.95 | 2022-05-16 07:18:46.326 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86750, lr: 0.000000, top1: 0.00090, throughput: 295.55 | 2022-05-16 07:20:13.008 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86787, lr: 0.000000, top1: 0.00125, throughput: 295.30 | 2022-05-16 07:20:13.021 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86770, lr: 0.000000, top1: 0.00129, throughput: 295.31 | 2022-05-16 07:20:13.060 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86776, lr: 0.000000, top1: 0.00133, throughput: 295.14 | 2022-05-16 07:20:13.066 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86730, lr: 0.000000, top1: 0.00160, throughput: 295.17 | 2022-05-16 07:20:13.083 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86758, lr: 0.000000, top1: 0.00160, throughput: 295.20 | 2022-05-16 07:20:13.084 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86801, lr: 0.000000, top1: 0.00113, throughput: 295.31 | 2022-05-16 07:20:13.085 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86785, lr: 0.000000, top1: 0.00141, throughput: 295.40 | 2022-05-16 07:20:13.085