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: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 ------------------------ 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: 2.62031 s ***** [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86752, lr: 0.000000, top1: 0.00074, throughput: 275.87 | 2022-04-15 12:06:20.970 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86776, lr: 0.000000, top1: 0.00082, throughput: 276.02 | 2022-04-15 12:06:20.977 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86741, lr: 0.000000, top1: 0.00055, throughput: 275.96 | 2022-04-15 12:06:20.983 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86776, lr: 0.000000, top1: 0.00117, throughput: 276.02 | 2022-04-15 12:06:20.983 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86764, lr: 0.000000, top1: 0.00062, throughput: 275.83 | 2022-04-15 12:06:21.000 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86770, lr: 0.000000, top1: 0.00043, throughput: 275.85 | 2022-04-15 12:06:21.041 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86785, lr: 0.000000, top1: 0.00082, throughput: 275.85 | 2022-04-15 12:06:21.059 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86759, lr: 0.000000, top1: 0.00102, throughput: 275.69 | 2022-04-15 12:06:21.072 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/15 12:06:21.198, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 48 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/04/15 12:06:21.219, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 87 %, 32510 MiB, 5120 MiB, 27390 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] timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/15 12:06:21.238, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 73 %, 32510 MiB, 5196 MiB, 27314 MiB 2022/04/15 12:06:21.275, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/04/15 12:06:21.275, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/04/15 12:06:21.275, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/04/15 12:06:21.297, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 73 %, 32510 MiB, 5172 MiB, 27338 MiB 2022/04/15 12:06:21.318, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 5120 MiB, 27390 MiB 2022/04/15 12:06:21.322, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 5120 MiB, 27390 MiB 2022/04/15 12:06:21.325, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 85 %, 32510 MiB, 5120 MiB, 27390 MiB 2022/04/15 12:06:21.346, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 72 %, 32510 MiB, 5180 MiB, 27330 MiB 2022/04/15 12:06:21.361, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 73 %, 32510 MiB, 5196 MiB, 27314 MiB 2022/04/15 12:06:21.361, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 73 %, 32510 MiB, 5196 MiB, 27314 MiB 2022/04/15 12:06:21.364, Tesla V100-SXM2-32GB, 470.57.02, 96 %, 73 %, 32510 MiB, 5196 MiB, 27314 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/15 12:06:21.369, Tesla V100-SXM2-32GB, 470.57.02, 65 %, 55 %, 32510 MiB, 5112 MiB, 27398 MiB 2022/04/15 12:06:21.379, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 73 %, 32510 MiB, 5172 MiB, 27338 MiB 2022/04/15 12:06:21.381, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 73 %, 32510 MiB, 5172 MiB, 27338 MiB 2022/04/15 12:06:21.381, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 73 %, 32510 MiB, 5172 MiB, 27338 MiB 2022/04/15 12:06:21.386, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/04/15 12:06:21.391, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 83 %, 32510 MiB, 5056 MiB, 27454 MiB 2022/04/15 12:06:21.401, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 72 %, 32510 MiB, 5180 MiB, 27330 MiB 2022/04/15 12:06:21.406, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 72 %, 32510 MiB, 5180 MiB, 27330 MiB 2022/04/15 12:06:21.407, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 72 %, 32510 MiB, 5180 MiB, 27330 MiB 2022/04/15 12:06:21.418, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 5120 MiB, 27390 MiB 2022/04/15 12:06:21.420, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5136 MiB, 27374 MiB 2022/04/15 12:06:21.430, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 75 %, 32510 MiB, 5112 MiB, 27398 MiB 2022/04/15 12:06:21.431, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 75 %, 32510 MiB, 5112 MiB, 27398 MiB 2022/04/15 12:06:21.431, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 75 %, 32510 MiB, 5112 MiB, 27398 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/15 12:06:21.436, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 64 %, 32510 MiB, 5196 MiB, 27314 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/15 12:06:21.446, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 83 %, 32510 MiB, 5056 MiB, 27454 MiB 2022/04/15 12:06:21.446, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 83 %, 32510 MiB, 5056 MiB, 27454 MiB 2022/04/15 12:06:21.447, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 83 %, 32510 MiB, 5056 MiB, 27454 MiB 2022/04/15 12:06:21.449, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/04/15 12:06:21.449, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 73 %, 32510 MiB, 5172 MiB, 27338 MiB 2022/04/15 12:06:21.454, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/04/15 12:06:21.457, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5136 MiB, 27374 MiB 2022/04/15 12:06:21.458, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5136 MiB, 27374 MiB 2022/04/15 12:06:21.458, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5136 MiB, 27374 MiB 2022/04/15 12:06:21.460, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 5120 MiB, 27390 MiB 2022/04/15 12:06:21.460, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 72 %, 32510 MiB, 5180 MiB, 27330 MiB 2022/04/15 12:06:21.465, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 5120 MiB, 27390 MiB 2022/04/15 12:06:21.476, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 64 %, 32510 MiB, 5196 MiB, 27314 MiB 2022/04/15 12:06:21.476, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 75 %, 32510 MiB, 5112 MiB, 27398 MiB 2022/04/15 12:06:21.484, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 64 %, 32510 MiB, 5196 MiB, 27314 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/15 12:06:21.488, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 5172 MiB, 27338 MiB 2022/04/15 12:06:21.488, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 5056 MiB, 27454 MiB 2022/04/15 12:06:21.502, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 5172 MiB, 27338 MiB 2022/04/15 12:06:21.511, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 5100 MiB, 27410 MiB 2022/04/15 12:06:21.512, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 44 %, 32510 MiB, 5180 MiB, 27330 MiB 2022/04/15 12:06:21.512, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 5136 MiB, 27374 MiB 2022/04/15 12:06:21.517, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 44 %, 32510 MiB, 5180 MiB, 27330 MiB 2022/04/15 12:06:21.520, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 5120 MiB, 27390 MiB 2022/04/15 12:06:21.520, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 75 %, 32510 MiB, 5112 MiB, 27398 MiB 2022/04/15 12:06:21.524, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 75 %, 32510 MiB, 5112 MiB, 27398 MiB 2022/04/15 12:06:21.536, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 64 %, 32510 MiB, 5196 MiB, 27314 MiB 2022/04/15 12:06:21.537, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 5056 MiB, 27454 MiB 2022/04/15 12:06:21.539, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 5056 MiB, 27454 MiB 2022/04/15 12:06:21.541, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 5172 MiB, 27338 MiB 2022/04/15 12:06:21.542, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 5136 MiB, 27374 MiB 2022/04/15 12:06:21.544, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 5136 MiB, 27374 MiB 2022/04/15 12:06:21.546, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 44 %, 32510 MiB, 5180 MiB, 27330 MiB 2022/04/15 12:06:21.554, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 75 %, 32510 MiB, 5112 MiB, 27398 MiB 2022/04/15 12:06:21.557, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 5056 MiB, 27454 MiB 2022/04/15 12:06:21.560, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 5136 MiB, 27374 MiB [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86768, lr: 0.000000, top1: 0.00145, throughput: 295.62 | 2022-04-15 12:07:47.638 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86799, lr: 0.000000, top1: 0.00105, throughput: 295.68 | 2022-04-15 12:07:47.640 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86777, lr: 0.000000, top1: 0.00113, throughput: 295.39 | 2022-04-15 12:07:47.649 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86764, lr: 0.000000, top1: 0.00094, throughput: 295.25 | 2022-04-15 12:07:47.676 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86773, lr: 0.000000, top1: 0.00074, throughput: 295.30 | 2022-04-15 12:07:47.691 [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86764, lr: 0.000000, top1: 0.00094, throughput: 295.14 | 2022-04-15 12:07:47.721 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86769, lr: 0.000000, top1: 0.00090, throughput: 295.12 | 2022-04-15 12:07:47.722 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86757, lr: 0.000000, top1: 0.00098, throughput: 295.40 | 2022-04-15 12:07:47.735 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86747, lr: 0.000000, top1: 0.00074, throughput: 297.50 | 2022-04-15 12:09:13.743 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86761, lr: 0.000000, top1: 0.00070, throughput: 297.56 | 2022-04-15 12:09:13.768 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86775, lr: 0.000000, top1: 0.00098, throughput: 297.50 | 2022-04-15 12:09:13.772 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86790, lr: 0.000000, top1: 0.00082, throughput: 297.12 | 2022-04-15 12:09:13.800 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86770, lr: 0.000000, top1: 0.00062, throughput: 297.22 | 2022-04-15 12:09:13.808 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86789, lr: 0.000000, top1: 0.00066, throughput: 297.37 | 2022-04-15 12:09:13.812 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86768, lr: 0.000000, top1: 0.00090, throughput: 297.09 | 2022-04-15 12:09:13.818 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86773, lr: 0.000000, top1: 0.00109, throughput: 296.98 | 2022-04-15 12:09:13.842