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: /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 loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 W20220428 01:57:18.377539 6890 rpc_client.cpp:190] LoadServer 10.7.183.15 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: 2.95810 s ***** [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86766, lr: 0.000000, top1: 0.00082, throughput: 276.57 | 2022-04-28 01:59:06.128 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86757, lr: 0.000000, top1: 0.00090, throughput: 276.61 | 2022-04-28 01:59:06.140 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86782, lr: 0.000000, top1: 0.00059, throughput: 276.56 | 2022-04-28 01:59:06.151 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86775, lr: 0.000000, top1: 0.00066, throughput: 276.55 | 2022-04-28 01:59:06.162 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86780, lr: 0.000000, top1: 0.00105, throughput: 276.59 | 2022-04-28 01:59:06.166 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86749, lr: 0.000000, top1: 0.00117, throughput: 276.57 | 2022-04-28 01:59:06.172 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86751, lr: 0.000000, top1: 0.00070, throughput: 276.54 | 2022-04-28 01:59:06.190 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86747, lr: 0.000000, top1: 0.00117, throughput: 276.73 | 2022-04-28 01:59:06.099 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/28 01:59:06.334, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 19 %, 32510 MiB, 5096 MiB, 27414 MiB 2022/04/28 01:59:06.340, Tesla V100-SXM2-32GB, 470.57.02, 45 %, 13 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/28 01:59:06.345, Tesla V100-SXM2-32GB, 470.57.02, 12 %, 8 %, 32510 MiB, 5192 MiB, 27318 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/28 01:59:06.349, Tesla V100-SXM2-32GB, 470.57.02, 22 %, 0 %, 32510 MiB, 5168 MiB, 27342 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/28 01:59:06.351, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 19 %, 32510 MiB, 5096 MiB, 27414 MiB 2022/04/28 01:59:06.354, Tesla V100-SXM2-32GB, 470.57.02, 38 %, 7 %, 32510 MiB, 5176 MiB, 27334 MiB 2022/04/28 01:59:06.357, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 19 %, 32510 MiB, 5096 MiB, 27414 MiB 2022/04/28 01:59:06.358, Tesla V100-SXM2-32GB, 470.57.02, 45 %, 13 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/28 01:59:06.360, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 43 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/28 01:59:06.364, Tesla V100-SXM2-32GB, 470.57.02, 45 %, 13 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/28 01:59:06.364, Tesla V100-SXM2-32GB, 470.57.02, 12 %, 8 %, 32510 MiB, 5192 MiB, 27318 MiB 2022/04/28 01:59:06.366, Tesla V100-SXM2-32GB, 470.57.02, 93 %, 62 %, 32510 MiB, 5052 MiB, 27458 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/28 01:59:06.369, Tesla V100-SXM2-32GB, 470.57.02, 12 %, 8 %, 32510 MiB, 5192 MiB, 27318 MiB 2022/04/28 01:59:06.370, Tesla V100-SXM2-32GB, 470.57.02, 22 %, 0 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/28 01:59:06.371, Tesla V100-SXM2-32GB, 470.57.02, 68 %, 13 %, 32510 MiB, 5132 MiB, 27378 MiB 2022/04/28 01:59:06.376, Tesla V100-SXM2-32GB, 470.57.02, 22 %, 0 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/28 01:59:06.375, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 19 %, 32510 MiB, 5096 MiB, 27414 MiB 2022/04/28 01:59:06.376, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 71 %, 32510 MiB, 5176 MiB, 27334 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/28 01:59:06.382, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 70 %, 32510 MiB, 5176 MiB, 27334 MiB 2022/04/28 01:59:06.383, Tesla V100-SXM2-32GB, 470.57.02, 45 %, 13 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/28 01:59:06.383, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 43 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/28 01:59:06.385, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 19 %, 32510 MiB, 5096 MiB, 27414 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] 2022/04/28 01:59:06.402, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 43 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/28 01:59:06.402, Tesla V100-SXM2-32GB, 470.57.02, 12 %, 8 %, 32510 MiB, 5192 MiB, 27318 MiB 2022/04/28 01:59:06.403, Tesla V100-SXM2-32GB, 470.57.02, 93 %, 61 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/28 01:59:06.406, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/28 01:59:06.406, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5096 MiB, 27414 MiB 2022/04/28 01:59:06.423, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5096 MiB, 27414 MiB 2022/04/28 01:59:06.425, Tesla V100-SXM2-32GB, 470.57.02, 93 %, 61 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/28 01:59:06.425, Tesla V100-SXM2-32GB, 470.57.02, 67 %, 60 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/28 01:59:06.425, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5132 MiB, 27378 MiB 2022/04/28 01:59:06.447, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5192 MiB, 27318 MiB 2022/04/28 01:59:06.461, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/28 01:59:06.485, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/28 01:59:06.485, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5132 MiB, 27378 MiB 2022/04/28 01:59:06.485, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 67 %, 32510 MiB, 5176 MiB, 27334 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/28 01:59:06.504, Tesla V100-SXM2-32GB, 470.57.02, 67 %, 59 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/28 01:59:06.505, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5192 MiB, 27318 MiB 2022/04/28 01:59:06.510, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5192 MiB, 27318 MiB 2022/04/28 01:59:06.510, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 78 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/28 01:59:06.518, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5096 MiB, 27414 MiB 2022/04/28 01:59:06.525, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 65 %, 32510 MiB, 5176 MiB, 27334 MiB 2022/04/28 01:59:06.526, Tesla V100-SXM2-32GB, 470.57.02, 67 %, 59 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/28 01:59:06.541, Tesla V100-SXM2-32GB, 470.57.02, 67 %, 59 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/28 01:59:06.542, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 72 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/28 01:59:06.543, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 5116 MiB, 27394 MiB 2022/04/28 01:59:06.545, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 78 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/28 01:59:06.548, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 65 %, 32510 MiB, 5176 MiB, 27334 MiB 2022/04/28 01:59:06.556, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 65 %, 32510 MiB, 5176 MiB, 27334 MiB 2022/04/28 01:59:06.556, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5132 MiB, 27378 MiB 2022/04/28 01:59:06.558, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5192 MiB, 27318 MiB 2022/04/28 01:59:06.561, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 72 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/28 01:59:06.562, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 78 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/28 01:59:06.570, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 78 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/28 01:59:06.576, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 74 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/04/28 01:59:06.578, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5132 MiB, 27378 MiB 2022/04/28 01:59:06.580, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 72 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/28 01:59:06.586, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 72 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/28 01:59:06.589, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 65 %, 32510 MiB, 5176 MiB, 27334 MiB 2022/04/28 01:59:06.601, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 50 %, 32510 MiB, 5132 MiB, 27378 MiB 2022/04/28 01:59:06.603, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 50 %, 32510 MiB, 5132 MiB, 27378 MiB 2022/04/28 01:59:06.615, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 78 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/04/28 01:59:06.629, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 72 %, 32510 MiB, 5052 MiB, 27458 MiB 2022/04/28 01:59:06.651, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 50 %, 32510 MiB, 5132 MiB, 27378 MiB [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86787, lr: 0.000000, top1: 0.00117, throughput: 293.93 | 2022-04-28 02:00:33.225 [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86783, lr: 0.000000, top1: 0.00098, throughput: 293.93 | 2022-04-28 02:00:33.236 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86774, lr: 0.000000, top1: 0.00082, throughput: 293.96 | 2022-04-28 02:00:33.249 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86771, lr: 0.000000, top1: 0.00062, throughput: 293.89 | 2022-04-28 02:00:33.280 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86757, lr: 0.000000, top1: 0.00117, throughput: 293.93 | 2022-04-28 02:00:33.287 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86763, lr: 0.000000, top1: 0.00105, throughput: 293.79 | 2022-04-28 02:00:33.304 [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86754, lr: 0.000000, top1: 0.00133, throughput: 293.51 | 2022-04-28 02:00:33.319 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86751, lr: 0.000000, top1: 0.00082, throughput: 293.66 | 2022-04-28 02:00:33.326 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86807, lr: 0.000000, top1: 0.00082, throughput: 295.14 | 2022-04-28 02:02:00.018 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86759, lr: 0.000000, top1: 0.00078, throughput: 295.19 | 2022-04-28 02:02:00.041 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86772, lr: 0.000000, top1: 0.00062, throughput: 295.01 | 2022-04-28 02:02:00.064 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86788, lr: 0.000000, top1: 0.00098, throughput: 295.04 | 2022-04-28 02:02:00.073 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86732, lr: 0.000000, top1: 0.00102, throughput: 294.76 | 2022-04-28 02:02:00.075 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86760, lr: 0.000000, top1: 0.00129, throughput: 294.74 | 2022-04-28 02:02:00.093 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86813, lr: 0.000000, top1: 0.00059, throughput: 295.01 | 2022-04-28 02:02:00.105 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86739, lr: 0.000000, top1: 0.00145, throughput: 294.72 | 2022-04-28 02:02:00.110