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 W20220526 18:11:12.034128 6888 rpc_client.cpp:190] LoadServer 10.7.148.52 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220526 18:11:12.035041 6890 rpc_client.cpp:190] LoadServer 10.7.148.52 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220526 18:11:12.034585 6892 rpc_client.cpp:190] LoadServer 10.7.148.52 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: 2.87611 s ***** [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86712, lr: 0.000000, top1: 0.00117, throughput: 275.27 | 2022-05-26 18:13:00.173 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86725, lr: 0.000000, top1: 0.00074, throughput: 275.51 | 2022-05-26 18:13:00.210 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86741, lr: 0.000000, top1: 0.00078, throughput: 275.21 | 2022-05-26 18:13:00.219 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86723, lr: 0.000000, top1: 0.00059, throughput: 275.24 | 2022-05-26 18:13:00.232 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86747, lr: 0.000000, top1: 0.00070, throughput: 275.28 | 2022-05-26 18:13:00.235 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86743, lr: 0.000000, top1: 0.00066, throughput: 275.24 | 2022-05-26 18:13:00.243 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86738, lr: 0.000000, top1: 0.00066, throughput: 275.22 | 2022-05-26 18:13:00.251 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86710, lr: 0.000000, top1: 0.00051, throughput: 275.08 | 2022-05-26 18:13:00.261 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/26 18:13:00.321, Tesla V100-SXM2-32GB, 470.57.02, 17 %, 13 %, 32510 MiB, 5088 MiB, 27422 MiB 2022/05/26 18:13:00.325, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 46 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/05/26 18:13:00.329, Tesla V100-SXM2-32GB, 470.57.02, 25 %, 7 %, 32510 MiB, 5184 MiB, 27326 MiB 2022/05/26 18:13:00.334, Tesla V100-SXM2-32GB, 470.57.02, 48 %, 3 %, 32510 MiB, 5160 MiB, 27350 MiB 2022/05/26 18:13:00.338, Tesla V100-SXM2-32GB, 470.57.02, 35 %, 24 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/05/26 18:13:00.342, Tesla V100-SXM2-32GB, 470.57.02, 27 %, 13 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/05/26 18:13:00.346, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 13 %, 32510 MiB, 5044 MiB, 27466 MiB 2022/05/26 18:13:00.350, Tesla V100-SXM2-32GB, 470.57.02, 62 %, 17 %, 32510 MiB, 5124 MiB, 27386 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/26 18:13:00.404, Tesla V100-SXM2-32GB, 470.57.02, 17 %, 13 %, 32510 MiB, 5088 MiB, 27422 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/26 18:13:00.406, Tesla V100-SXM2-32GB, 470.57.02, 25 %, 0 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/05/26 18:13:00.407, Tesla V100-SXM2-32GB, 470.57.02, 17 %, 13 %, 32510 MiB, 5088 MiB, 27422 MiB 2022/05/26 18:13:00.411, Tesla V100-SXM2-32GB, 470.57.02, 25 %, 7 %, 32510 MiB, 5184 MiB, 27326 MiB 2022/05/26 18:13:00.420, Tesla V100-SXM2-32GB, 470.57.02, 25 %, 0 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/05/26 18:13:00.424, Tesla V100-SXM2-32GB, 470.57.02, 48 %, 3 %, 32510 MiB, 5160 MiB, 27350 MiB 2022/05/26 18:13:00.427, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 64 %, 32510 MiB, 5184 MiB, 27326 MiB 2022/05/26 18:13:00.430, Tesla V100-SXM2-32GB, 470.57.02, 48 %, 40 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/05/26 18:13:00.432, Tesla V100-SXM2-32GB, 470.57.02, 48 %, 3 %, 32510 MiB, 5160 MiB, 27350 MiB 2022/05/26 18:13:00.441, Tesla V100-SXM2-32GB, 470.57.02, 76 %, 47 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/05/26 18:13:00.448, Tesla V100-SXM2-32GB, 470.57.02, 48 %, 40 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/05/26 18:13:00.458, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 45 %, 32510 MiB, 5044 MiB, 27466 MiB 2022/05/26 18:13:00.465, Tesla V100-SXM2-32GB, 470.57.02, 76 %, 47 %, 32510 MiB, 5100 MiB, 27410 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/26 18:13:00.514, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 5124 MiB, 27386 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] 2022/05/26 18:13:00.525, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 45 %, 32510 MiB, 5044 MiB, 27466 MiB 2022/05/26 18:13:00.535, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 72 %, 32510 MiB, 5088 MiB, 27422 MiB 2022/05/26 18:13:00.560, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 72 %, 32510 MiB, 5088 MiB, 27422 MiB 2022/05/26 18:13:00.560, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 72 %, 32510 MiB, 5088 MiB, 27422 MiB 2022/05/26 18:13:00.562, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 5124 MiB, 27386 MiB 2022/05/26 18:13:00.612, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 84 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/05/26 18:13:00.620, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 84 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/05/26 18:13:00.620, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 84 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/05/26 18:13:00.630, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 71 %, 32510 MiB, 5184 MiB, 27326 MiB 2022/05/26 18:13:00.641, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 71 %, 32510 MiB, 5184 MiB, 27326 MiB 2022/05/26 18:13:00.642, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 71 %, 32510 MiB, 5184 MiB, 27326 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] 2022/05/26 18:13:00.653, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 52 %, 32510 MiB, 5160 MiB, 27350 MiB 2022/05/26 18:13:00.658, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 52 %, 32510 MiB, 5160 MiB, 27350 MiB 2022/05/26 18:13:00.659, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 52 %, 32510 MiB, 5160 MiB, 27350 MiB 2022/05/26 18:13:00.660, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 72 %, 32510 MiB, 5088 MiB, 27422 MiB 2022/05/26 18:13:00.661, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/05/26 18:13:00.661, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 72 %, 32510 MiB, 5088 MiB, 27422 MiB 2022/05/26 18:13:00.671, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/05/26 18:13:00.671, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/05/26 18:13:00.674, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/05/26 18:13:00.674, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/05/26 18:13:00.675, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 5108 MiB, 27402 MiB 2022/05/26 18:13:00.687, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/05/26 18:13:00.689, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/05/26 18:13:00.692, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 71 %, 32510 MiB, 5184 MiB, 27326 MiB 2022/05/26 18:13:00.692, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5044 MiB, 27466 MiB 2022/05/26 18:13:00.693, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 71 %, 32510 MiB, 5184 MiB, 27326 MiB 2022/05/26 18:13:00.695, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5044 MiB, 27466 MiB 2022/05/26 18:13:00.696, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5044 MiB, 27466 MiB 2022/05/26 18:13:00.698, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 52 %, 32510 MiB, 5160 MiB, 27350 MiB 2022/05/26 18:13:00.698, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 5124 MiB, 27386 MiB 2022/05/26 18:13:00.699, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 52 %, 32510 MiB, 5160 MiB, 27350 MiB 2022/05/26 18:13:00.702, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 5124 MiB, 27386 MiB 2022/05/26 18:13:00.702, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 5124 MiB, 27386 MiB 2022/05/26 18:13:00.707, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/05/26 18:13:00.710, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5168 MiB, 27342 MiB 2022/05/26 18:13:00.715, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/05/26 18:13:00.716, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/05/26 18:13:00.721, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5044 MiB, 27466 MiB 2022/05/26 18:13:00.721, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5044 MiB, 27466 MiB 2022/05/26 18:13:00.726, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 5124 MiB, 27386 MiB 2022/05/26 18:13:00.726, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 5124 MiB, 27386 MiB [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86736, lr: 0.000000, top1: 0.00062, throughput: 293.00 | 2022-05-26 18:14:27.607 [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86735, lr: 0.000000, top1: 0.00094, throughput: 292.93 | 2022-05-26 18:14:27.612 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86720, lr: 0.000000, top1: 0.00086, throughput: 293.01 | 2022-05-26 18:14:27.630 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86731, lr: 0.000000, top1: 0.00090, throughput: 292.74 | 2022-05-26 18:14:27.660 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86730, lr: 0.000000, top1: 0.00070, throughput: 292.57 | 2022-05-26 18:14:27.674 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86726, lr: 0.000000, top1: 0.00066, throughput: 292.75 | 2022-05-26 18:14:27.691 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86731, lr: 0.000000, top1: 0.00090, throughput: 292.75 | 2022-05-26 18:14:27.698 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86725, lr: 0.000000, top1: 0.00094, throughput: 292.68 | 2022-05-26 18:14:27.700 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86741, lr: 0.000000, top1: 0.00082, throughput: 295.19 | 2022-05-26 18:15:54.399 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86731, lr: 0.000000, top1: 0.00090, throughput: 294.94[rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86734, lr: 0.000000, top1: 0.00055, throughput: 294.96 | 2022-05-26 18:15:54.404 | 2022-05-26 18:15:54.404 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86730, lr: 0.000000, top1: 0.00051, throughput: 295.25 | 2022-05-26 18:15:54.405 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86726, lr: 0.000000, top1: 0.00090, throughput: 294.97 | 2022-05-26 18:15:54.420 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86691, lr: 0.000000, top1: 0.00102, throughput: 295.03 | 2022-05-26 18:15:54.468 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86758, lr: 0.000000, top1: 0.00039, throughput: 294.88 | 2022-05-26 18:15:54.475 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86733, lr: 0.000000, top1: 0.00074, throughput: 294.96 | 2022-05-26 18:15:54.483