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 W20220427 10:51:50.716604 6894 rpc_client.cpp:190] LoadServer 10.7.103.42 Failed at 0 times error_code 14 error_message failed to connect to all addresses ------------------------ 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: 2.78474 s ***** [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86750, lr: 0.000000, top1: 0.00137, throughput: 275.43 | 2022-04-27 10:53:38.871 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86740, lr: 0.000000, top1: 0.00125, throughput: 275.23 | 2022-04-27 10:53:38.877 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86757, lr: 0.000000, top1: 0.00102, throughput: 275.28 | 2022-04-27 10:53:38.908 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86770, lr: 0.000000, top1: 0.00133, throughput: 275.22 | 2022-04-27 10:53:38.932 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86796, lr: 0.000000, top1: 0.00152, throughput: 275.05 | 2022-04-27 10:53:38.952 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86733, lr: 0.000000, top1: 0.00125, throughput: 274.97 | 2022-04-27 10:53:38.964 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86783, lr: 0.000000, top1: 0.00125, throughput: 275.11 | 2022-04-27 10:53:38.964 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86770, lr: 0.000000, top1: 0.00152, throughput: 275.16 | 2022-04-27 10:53:38.970 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] 2022/04/27 10:53:39.089, Tesla V100-SXM2-32GB, 470.57.02, 30 %, 17 %, 32510 MiB, 5096 MiB, 27414 MiB 2022/04/27 10:53:39.093, Tesla V100-SXM2-32GB, 470.57.02, 30 %, 17 %, 32510 MiB, 5096 MiB, 27414 MiB 2022/04/27 10:53:39.098, Tesla V100-SXM2-32GB, 470.57.02, 8 %, 0 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/27 10:53:39.101, Tesla V100-SXM2-32GB, 470.57.02, 8 %, 0 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/27 10:53:39.106, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 38 %, 32510 MiB, 5192 MiB, 27318 MiB 2022/04/27 10:53:39.113, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 38 %, 32510 MiB, 5192 MiB, 27318 MiB 2022/04/27 10:53:39.117, Tesla V100-SXM2-32GB, 470.57.02, 26 %, 1 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/27 10:53:39.119, Tesla V100-SXM2-32GB, 470.57.02, 26 %, 1 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/27 10:53:39.128, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 5176 MiB, 27334 MiB 2022/04/27 10:53:39.132, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 5176 MiB, 27334 MiB 2022/04/27 10:53:39.153, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 81 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/27 10:53:39.156, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 81 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/27 10:53:39.166, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/27 10:53:39.173, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/27 10:53:39.226, Tesla V100-SXM2-32GB, 470.57.02, 72 %, 48 %, 32510 MiB, 5132 MiB, 27378 MiB 2022/04/27 10:53:39.258, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 76 %, 32510 MiB, 5132 MiB, 27378 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/27 10:53:39.330, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5096 MiB, 27414 MiB 2022/04/27 10:53:39.348, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 5116 MiB, 27394 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] 2022/04/27 10:53:39.365, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 44 %, 32510 MiB, 5192 MiB, 27318 MiB 2022/04/27 10:53:39.370, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5096 MiB, 27414 MiB 2022/04/27 10:53:39.378, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5096 MiB, 27414 MiB 2022/04/27 10:53:39.381, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/27 10:53:39.383, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/27 10:53:39.385, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/27 10:53:39.388, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 5176 MiB, 27334 MiB 2022/04/27 10:53:39.394, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 44 %, 32510 MiB, 5192 MiB, 27318 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] 2022/04/27 10:53:39.397, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 44 %, 32510 MiB, 5192 MiB, 27318 MiB 2022/04/27 10:53:39.399, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/27 10:53:39.401, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 5168 MiB, 27342 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/27 10:53:39.407, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 48 %, 32510 MiB, 5096 MiB, 27414 MiB 2022/04/27 10:53:39.408, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/27 10:53:39.408, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 48 %, 32510 MiB, 5096 MiB, 27414 MiB 2022/04/27 10:53:39.411, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/27 10:53:39.413, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 5176 MiB, 27334 MiB 2022/04/27 10:53:39.420, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/27 10:53:39.421, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 5176 MiB, 27334 MiB 2022/04/27 10:53:39.420, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 48 %, 32510 MiB, 5096 MiB, 27414 MiB 2022/04/27 10:53:39.421, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/27 10:53:39.423, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 76 %, 32510 MiB, 5132 MiB, 27378 MiB 2022/04/27 10:53:39.426, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/27 10:53:39.429, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 44 %, 32510 MiB, 5192 MiB, 27318 MiB 2022/04/27 10:53:39.429, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/27 10:53:39.430, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/27 10:53:39.430, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 44 %, 32510 MiB, 5192 MiB, 27318 MiB 2022/04/27 10:53:39.434, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/27 10:53:39.437, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/27 10:53:39.437, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/27 10:53:39.438, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 44 %, 32510 MiB, 5192 MiB, 27318 MiB 2022/04/27 10:53:39.438, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/27 10:53:39.442, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 5132 MiB, 27378 MiB 2022/04/27 10:53:39.444, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 42 %, 32510 MiB, 5176 MiB, 27334 MiB 2022/04/27 10:53:39.445, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 5132 MiB, 27378 MiB 2022/04/27 10:53:39.445, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/27 10:53:39.446, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 42 %, 32510 MiB, 5176 MiB, 27334 MiB 2022/04/27 10:53:39.462, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 43 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/27 10:53:39.463, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 42 %, 32510 MiB, 5176 MiB, 27334 MiB 2022/04/27 10:53:39.464, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 43 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/27 10:53:39.469, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/27 10:53:39.470, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 43 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/27 10:53:39.470, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/27 10:53:39.485, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 5132 MiB, 27378 MiB 2022/04/27 10:53:39.486, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/27 10:53:39.486, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 5132 MiB, 27378 MiB 2022/04/27 10:53:39.492, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 5132 MiB, 27378 MiB [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86768, lr: 0.000000, top1: 0.00113, throughput: 294.31 | 2022-04-27 10:55:05.952 [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86773, lr: 0.000000, top1: 0.00152, throughput: 293.98 | 2022-04-27 10:55:05.952 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86736, lr: 0.000000, top1: 0.00156, throughput: 293.86 | 2022-04-27 10:55:05.993 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86749, lr: 0.000000, top1: 0.00082, throughput: 294.11 | 2022-04-27 10:55:05.993 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86754, lr: 0.000000, top1: 0.00121, throughput: 294.06 | 2022-04-27 10:55:06.022 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86761, lr: 0.000000, top1: 0.00121, throughput: 293.95 | 2022-04-27 10:55:06.022 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86769, lr: 0.000000, top1: 0.00102, throughput: 293.86 | 2022-04-27 10:55:06.025 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86722, lr: 0.000000, top1: 0.00199, throughput: 294.02 | 2022-04-27 10:55:06.032 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86755, lr: 0.000000, top1: 0.00105, throughput: 294.40 | 2022-04-27 10:56:32.908 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86752, lr: 0.000000, top1: 0.00105, throughput: 294.63 | 2022-04-27 10:56:32.909 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86789, lr: 0.000000, top1: 0.00117, throughput: 294.59 | 2022-04-27 10:56:32.921 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86767, lr: 0.000000, top1: 0.00113, throughput: 294.48 | 2022-04-27 10:56:32.926 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86739, lr: 0.000000, top1: 0.00117, throughput: 294.45 | 2022-04-27 10:56:32.968 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86762, lr: 0.000000, top1: 0.00117, throughput: 294.33 | 2022-04-27 10:56:32.969 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86771, lr: 0.000000, top1: 0.00117, throughput: 294.44 | 2022-04-27 10:56:32.977 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86757, lr: 0.000000, top1: 0.00133, throughput: 294.11 | 2022-04-27 10:56:32.996