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: 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 /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 W20220430 02:38:58.089911 5272 rpc_client.cpp:190] LoadServer 10.7.49.80 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 .................................. 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: 2.86829 s ***** [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86809, top1: 0.00078, throughput: 275.75 | 2022-04-30 02:40:46.232 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86778, top1: 0.00113, throughput: 275.74 | 2022-04-30 02:40:46.231 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86790, top1: 0.00070, throughput: 275.73 | 2022-04-30 02:40:46.236 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86813, top1: 0.00082, throughput: 275.75 | 2022-04-30 02:40:46.231 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86777, top1: 0.00105, throughput: 275.74 | 2022-04-30 02:40:46.232 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86799, top1: 0.00082, throughput: 275.74 | 2022-04-30 02:40:46.234 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86814, top1: 0.00062, throughput: 275.75 | 2022-04-30 02:40:46.234 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86764, top1: 0.00090, throughput: 275.76 | 2022-04-30 02:40:46.232 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] 2022/04/30 02:40:46.531, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8474 MiB, 24036 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/30 02:40:46.544, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8474 MiB, 24036 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/30 02:40:46.548, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 55 %, 32510 MiB, 8528 MiB, 23982 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] 2022/04/30 02:40:46.551, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8474 MiB, 24036 MiB 2022/04/30 02:40:46.552, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 55 %, 32510 MiB, 8528 MiB, 23982 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/30 02:40:46.555, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8474 MiB, 24036 MiB 2022/04/30 02:40:46.556, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8660 MiB, 23850 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/30 02:40:46.559, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8474 MiB, 24036 MiB 2022/04/30 02:40:46.562, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8474 MiB, 24036 MiB 2022/04/30 02:40:46.563, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 55 %, 32510 MiB, 8528 MiB, 23982 MiB 2022/04/30 02:40:46.564, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8660 MiB, 23850 MiB 2022/04/30 02:40:46.567, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 55 %, 32510 MiB, 8528 MiB, 23982 MiB 2022/04/30 02:40:46.568, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8570 MiB, 23940 MiB 2022/04/30 02:40:46.567, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8474 MiB, 24036 MiB 2022/04/30 02:40:46.569, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 55 %, 32510 MiB, 8528 MiB, 23982 MiB 2022/04/30 02:40:46.569, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 8474 MiB, 24036 MiB 2022/04/30 02:40:46.571, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 55 %, 32510 MiB, 8528 MiB, 23982 MiB 2022/04/30 02:40:46.572, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8660 MiB, 23850 MiB 2022/04/30 02:40:46.572, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8570 MiB, 23940 MiB 2022/04/30 02:40:46.576, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8660 MiB, 23850 MiB 2022/04/30 02:40:46.578, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8618 MiB, 23892 MiB 2022/04/30 02:40:46.579, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8528 MiB, 23982 MiB 2022/04/30 02:40:46.581, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8660 MiB, 23850 MiB 2022/04/30 02:40:46.581, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8528 MiB, 23982 MiB 2022/04/30 02:40:46.583, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8660 MiB, 23850 MiB 2022/04/30 02:40:46.583, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8570 MiB, 23940 MiB 2022/04/30 02:40:46.584, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8618 MiB, 23892 MiB 2022/04/30 02:40:46.588, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8570 MiB, 23940 MiB 2022/04/30 02:40:46.588, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8472 MiB, 24038 MiB 2022/04/30 02:40:46.589, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8660 MiB, 23850 MiB 2022/04/30 02:40:46.591, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8570 MiB, 23940 MiB 2022/04/30 02:40:46.591, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 8660 MiB, 23850 MiB 2022/04/30 02:40:46.593, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8570 MiB, 23940 MiB 2022/04/30 02:40:46.593, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8618 MiB, 23892 MiB 2022/04/30 02:40:46.593, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8472 MiB, 24038 MiB 2022/04/30 02:40:46.600, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8618 MiB, 23892 MiB 2022/04/30 02:40:46.600, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/30 02:40:46.600, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8570 MiB, 23940 MiB 2022/04/30 02:40:46.602, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8618 MiB, 23892 MiB 2022/04/30 02:40:46.602, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 8570 MiB, 23940 MiB 2022/04/30 02:40:46.604, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8618 MiB, 23892 MiB 2022/04/30 02:40:46.604, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8472 MiB, 24038 MiB 2022/04/30 02:40:46.605, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/30 02:40:46.608, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8472 MiB, 24038 MiB 2022/04/30 02:40:46.609, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8510 MiB, 24000 MiB 2022/04/30 02:40:46.609, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8618 MiB, 23892 MiB 2022/04/30 02:40:46.611, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8472 MiB, 24038 MiB 2022/04/30 02:40:46.611, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 8618 MiB, 23892 MiB 2022/04/30 02:40:46.613, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 8472 MiB, 24038 MiB 2022/04/30 02:40:46.613, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/30 02:40:46.613, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8510 MiB, 24000 MiB 2022/04/30 02:40:46.620, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/30 02:40:46.620, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8472 MiB, 24038 MiB 2022/04/30 02:40:46.622, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/30 02:40:46.622, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8472 MiB, 24038 MiB 2022/04/30 02:40:46.624, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/30 02:40:46.624, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8510 MiB, 24000 MiB 2022/04/30 02:40:46.628, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8510 MiB, 24000 MiB 2022/04/30 02:40:46.629, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/30 02:40:46.630, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8510 MiB, 24000 MiB 2022/04/30 02:40:46.631, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/30 02:40:46.632, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8510 MiB, 24000 MiB 2022/04/30 02:40:46.637, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8510 MiB, 24000 MiB 2022/04/30 02:40:46.639, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8510 MiB, 24000 MiB [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86766, top1: 0.00113, throughput: 378.99 | 2022-04-30 02:41:53.781 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86832, top1: 0.00074, throughput: 378.98 | 2022-04-30 02:41:53.781 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86787, top1: 0.00090, throughput: 378.98 | 2022-04-30 02:41:53.781 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86768, top1: 0.00098, throughput: 378.98 | 2022-04-30 02:41:53.782 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86783, top1: 0.00082, throughput: 378.99 | 2022-04-30 02:41:53.783 [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86769, top1: 0.00137, throughput: 378.98 | 2022-04-30 02:41:53.782 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86768, top1: 0.00121, throughput: 379.00 | 2022-04-30 02:41:53.782 [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86798, top1: 0.00133, throughput: 378.98 | 2022-04-30 02:41:53.782 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86808, top1: 0.00098, throughput: 379.53 | 2022-04-30 02:43:01.232 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86797, top1: 0.00090, throughput: 379.53 | 2022-04-30 02:43:01.234 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86809, top1: 0.00098, throughput: 379.53 | 2022-04-30 02:43:01.233 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86817, top1: 0.00113, throughput: 379.54[rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86820, top1: 0.00090, throughput: 379.53 | 2022-04-30 02:43:01.233 | 2022-04-30 02:43:01.235 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86830, top1: 0.00078, throughput: 379.52 | 2022-04-30 02:43:01.235 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86799, top1: 0.00109, throughput: 379.52 | 2022-04-30 02:43:01.234 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86803, top1: 0.00113, throughput: 379.53 | 2022-04-30 02:43:01.234