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: 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/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 W20220419 02:15:37.958106 6889 rpc_client.cpp:190] LoadServer 10.7.94.0 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: 2.69057 s ***** [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86798, lr: 0.000000, top1: 0.00086, throughput: 278.65 | 2022-04-19 02:17:25.001 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86779, lr: 0.000000, top1: 0.00090, throughput: 278.43 | 2022-04-19 02:17:25.001 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86765, lr: 0.000000, top1: 0.00090, throughput: 278.21 | 2022-04-19 02:17:25.017 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86792, lr: 0.000000, top1: 0.00074, throughput: 278.41 | 2022-04-19 02:17:25.026 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86796, lr: 0.000000, top1: 0.00074, throughput: 278.11 | 2022-04-19 02:17:25.042 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86802, lr: 0.000000, top1: 0.00074, throughput: 278.21 | 2022-04-19 02:17:25.060 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86802, lr: 0.000000, top1: 0.00113, throughput: 278.21 | 2022-04-19 02:17:25.082 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86754, lr: 0.000000, top1: 0.00074, throughput: 278.00 | 2022-04-19 02:17:25.098 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/19 02:17:25.209, Tesla V100-SXM2-32GB, 470.57.02, 55 %, 14 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/04/19 02:17:25.215, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 13 %, 32510 MiB, 5120 MiB, 27390 MiB 2022/04/19 02:17:25.221, Tesla V100-SXM2-32GB, 470.57.02, 24 %, 17 %, 32510 MiB, 5196 MiB, 27314 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/19 02:17:25.228, Tesla V100-SXM2-32GB, 470.57.02, 24 %, 7 %, 32510 MiB, 5172 MiB, 27338 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/19 02:17:25.232, Tesla V100-SXM2-32GB, 470.57.02, 55 %, 14 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/04/19 02:17:25.234, Tesla V100-SXM2-32GB, 470.57.02, 88 %, 42 %, 32510 MiB, 5180 MiB, 27330 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/19 02:17:25.237, Tesla V100-SXM2-32GB, 470.57.02, 55 %, 14 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/04/19 02:17:25.239, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 13 %, 32510 MiB, 5120 MiB, 27390 MiB 2022/04/19 02:17:25.239, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 64 %, 32510 MiB, 5112 MiB, 27398 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/19 02:17:25.251, Tesla V100-SXM2-32GB, 470.57.02, 55 %, 14 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/04/19 02:17:25.257, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 73 %, 32510 MiB, 5120 MiB, 27390 MiB 2022/04/19 02:17:25.257, Tesla V100-SXM2-32GB, 470.57.02, 68 %, 58 %, 32510 MiB, 5196 MiB, 27314 MiB 2022/04/19 02:17:25.258, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 5056 MiB, 27454 MiB 2022/04/19 02:17:25.259, Tesla V100-SXM2-32GB, 470.57.02, 55 %, 14 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/04/19 02:17:25.260, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 73 %, 32510 MiB, 5120 MiB, 27390 MiB 2022/04/19 02:17:25.265, Tesla V100-SXM2-32GB, 470.57.02, 68 %, 58 %, 32510 MiB, 5196 MiB, 27314 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/19 02:17:25.273, Tesla V100-SXM2-32GB, 470.57.02, 85 %, 75 %, 32510 MiB, 5172 MiB, 27338 MiB 2022/04/19 02:17:25.273, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 5136 MiB, 27374 MiB 2022/04/19 02:17:25.276, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 71 %, 32510 MiB, 5120 MiB, 27390 MiB 2022/04/19 02:17:25.276, Tesla V100-SXM2-32GB, 470.57.02, 68 %, 58 %, 32510 MiB, 5196 MiB, 27314 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/19 02:17:25.298, Tesla V100-SXM2-32GB, 470.57.02, 85 %, 74 %, 32510 MiB, 5172 MiB, 27338 MiB 2022/04/19 02:17:25.299, Tesla V100-SXM2-32GB, 470.57.02, 88 %, 41 %, 32510 MiB, 5180 MiB, 27330 MiB 2022/04/19 02:17:25.299, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/04/19 02:17:25.320, Tesla V100-SXM2-32GB, 470.57.02, 68 %, 58 %, 32510 MiB, 5196 MiB, 27314 MiB 2022/04/19 02:17:25.320, Tesla V100-SXM2-32GB, 470.57.02, 85 %, 73 %, 32510 MiB, 5172 MiB, 27338 MiB 2022/04/19 02:17:25.321, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/04/19 02:17:25.342, Tesla V100-SXM2-32GB, 470.57.02, 88 %, 40 %, 32510 MiB, 5180 MiB, 27330 MiB 2022/04/19 02:17:25.343, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 5112 MiB, 27398 MiB 2022/04/19 02:17:25.344, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 70 %, 32510 MiB, 5120 MiB, 27390 MiB 2022/04/19 02:17:25.357, Tesla V100-SXM2-32GB, 470.57.02, 85 %, 73 %, 32510 MiB, 5172 MiB, 27338 MiB 2022/04/19 02:17:25.357, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 79 %, 32510 MiB, 5180 MiB, 27330 MiB 2022/04/19 02:17:25.358, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 70 %, 32510 MiB, 5120 MiB, 27390 MiB 2022/04/19 02:17:25.373, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 72 %, 32510 MiB, 5112 MiB, 27398 MiB 2022/04/19 02:17:25.374, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5056 MiB, 27454 MiB 2022/04/19 02:17:25.375, Tesla V100-SXM2-32GB, 470.57.02, 68 %, 58 %, 32510 MiB, 5196 MiB, 27314 MiB 2022/04/19 02:17:25.386, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 79 %, 32510 MiB, 5180 MiB, 27330 MiB 2022/04/19 02:17:25.387, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 72 %, 32510 MiB, 5112 MiB, 27398 MiB 2022/04/19 02:17:25.395, Tesla V100-SXM2-32GB, 470.57.02, 68 %, 58 %, 32510 MiB, 5196 MiB, 27314 MiB 2022/04/19 02:17:25.399, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5056 MiB, 27454 MiB 2022/04/19 02:17:25.399, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5136 MiB, 27374 MiB 2022/04/19 02:17:25.402, Tesla V100-SXM2-32GB, 470.57.02, 85 %, 73 %, 32510 MiB, 5172 MiB, 27338 MiB 2022/04/19 02:17:25.412, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 72 %, 32510 MiB, 5112 MiB, 27398 MiB 2022/04/19 02:17:25.412, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5056 MiB, 27454 MiB 2022/04/19 02:17:25.414, Tesla V100-SXM2-32GB, 470.57.02, 85 %, 73 %, 32510 MiB, 5172 MiB, 27338 MiB 2022/04/19 02:17:25.422, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 5136 MiB, 27374 MiB 2022/04/19 02:17:25.430, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 79 %, 32510 MiB, 5180 MiB, 27330 MiB 2022/04/19 02:17:25.437, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5056 MiB, 27454 MiB 2022/04/19 02:17:25.437, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 5136 MiB, 27374 MiB 2022/04/19 02:17:25.438, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 79 %, 32510 MiB, 5180 MiB, 27330 MiB 2022/04/19 02:17:25.457, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 72 %, 32510 MiB, 5112 MiB, 27398 MiB 2022/04/19 02:17:25.459, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 5136 MiB, 27374 MiB 2022/04/19 02:17:25.467, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 72 %, 32510 MiB, 5112 MiB, 27398 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/19 02:17:25.474, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5056 MiB, 27454 MiB 2022/04/19 02:17:25.477, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5056 MiB, 27454 MiB 2022/04/19 02:17:25.479, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/04/19 02:17:25.480, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 5136 MiB, 27374 MiB 2022/04/19 02:17:25.483, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 5136 MiB, 27374 MiB 2022/04/19 02:17:25.500, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 67 %, 32510 MiB, 5120 MiB, 27390 MiB 2022/04/19 02:17:25.511, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 75 %, 32510 MiB, 5196 MiB, 27314 MiB 2022/04/19 02:17:25.524, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 62 %, 32510 MiB, 5172 MiB, 27338 MiB 2022/04/19 02:17:25.533, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 79 %, 32510 MiB, 5180 MiB, 27330 MiB 2022/04/19 02:17:25.538, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 72 %, 32510 MiB, 5112 MiB, 27398 MiB 2022/04/19 02:17:25.551, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 5056 MiB, 27454 MiB 2022/04/19 02:17:25.554, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 5136 MiB, 27374 MiB [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86769, lr: 0.000000, top1: 0.00105, throughput: 296.48 | 2022-04-19 02:18:51.372 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86816, lr: 0.000000, top1: 0.00082, throughput: 296.52 | 2022-04-19 02:18:51.376 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86804, lr: 0.000000, top1: 0.00074, throughput: 296.57 | 2022-04-19 02:18:51.381 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86794, lr: 0.000000, top1: 0.00066, throughput: 296.41 | 2022-04-19 02:18:51.384 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86819, lr: 0.000000, top1: 0.00078, throughput: 296.35 | 2022-04-19 02:18:51.384 [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86761, lr: 0.000000, top1: 0.00070, throughput: 296.66 | 2022-04-19 02:18:51.392 [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86762, lr: 0.000000, top1: 0.00090, throughput: 296.14 | 2022-04-19 02:18:51.447 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86812, lr: 0.000000, top1: 0.00094, throughput: 296.32 | 2022-04-19 02:18:51.476 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86819, lr: 0.000000, top1: 0.00098, throughput: 296.72 | 2022-04-19 02:20:17.662 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86808, lr: 0.000000, top1: 0.00102, throughput: 296.74 | 2022-04-19 02:20:17.664 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86784, lr: 0.000000, top1: 0.00070, throughput: 296.92 | 2022-04-19 02:20:17.666 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86791, lr: 0.000000, top1: 0.00098, throughput: 296.69 | 2022-04-19 02:20:17.667 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86787, lr: 0.000000, top1: 0.00066, throughput: 296.51 | 2022-04-19 02:20:17.709 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86765, lr: 0.000000, top1: 0.00094, throughput: 296.85 | 2022-04-19 02:20:17.716 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86803, lr: 0.000000, top1: 0.00102, throughput: 296.49 | 2022-04-19 02:20:17.719 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86792, lr: 0.000000, top1: 0.00094, throughput: 296.45 | 2022-04-19 02:20:17.739