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: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 loaded library: 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/usr/lib/x86_64-linux-gnu/libibverbs.so.1 ------------------------ arguments ------------------------ batches_per_epoch ............................... 312 channel_last .................................... True ddp ............................................. False exit_num ........................................ 300 fuse_bn_add_relu ................................ True fuse_bn_relu .................................... True gpu_stat_file ................................... None grad_clipping ................................... 0.0 graph ........................................... True label_smoothing ................................. 0.1 learning_rate ................................... 4.096 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 ...................................... True skip_eval ....................................... True synthetic_data .................................. False total_batches ................................... -1 train_batch_size ................................ 512 train_global_batch_size ......................... 4096 use_fp16 ........................................ True use_gpu_decode .................................. True 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: 3.03155 s ***** [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86731, top1: 0.00125, throughput: 424.43 | 2022-05-21 01:43:38.154 [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86720, top1: 0.00107, throughput: 424.41 | 2022-05-21 01:43:38.154 [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86758, top1: 0.00092, throughput: 424.41 | 2022-05-21 01:43:38.155 [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86720, top1: 0.00094, throughput: 424.41 | 2022-05-21 01:43:38.154 [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86747, top1: 0.00092, throughput: 424.41 | 2022-05-21 01:43:38.153 [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86732, top1: 0.00129, throughput: 424.41 | 2022-05-21 01:43:38.155 [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86752, top1: 0.00084, throughput: 424.43 | 2022-05-21 01:43:38.154 [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86753, top1: 0.00100, throughput: 424.40 | 2022-05-21 01:43:38.158 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] 2022/05/21 01:43:38.393, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7755 MiB, 24755 MiB 2022/05/21 01:43:38.393, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7755 MiB, 24755 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] 2022/05/21 01:43:38.399, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7738 MiB, 24772 MiB 2022/05/21 01:43:38.399, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7738 MiB, 24772 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] 2022/05/21 01:43:38.401, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7755 MiB, 24755 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/21 01:43:38.403, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7755 MiB, 24755 MiB 2022/05/21 01:43:38.404, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7962 MiB, 24548 MiB 2022/05/21 01:43:38.404, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7962 MiB, 24548 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/21 01:43:38.405, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7755 MiB, 24755 MiB 2022/05/21 01:43:38.405, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7755 MiB, 24755 MiB 2022/05/21 01:43:38.407, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7738 MiB, 24772 MiB 2022/05/21 01:43:38.409, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7755 MiB, 24755 MiB 2022/05/21 01:43:38.410, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7738 MiB, 24772 MiB 2022/05/21 01:43:38.410, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7898 MiB, 24612 MiB 2022/05/21 01:43:38.410, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7898 MiB, 24612 MiB 2022/05/21 01:43:38.411, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7738 MiB, 24772 MiB 2022/05/21 01:43:38.411, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7755 MiB, 24755 MiB 2022/05/21 01:43:38.413, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7738 MiB, 24772 MiB 2022/05/21 01:43:38.414, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7962 MiB, 24548 MiB 2022/05/21 01:43:38.417, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7738 MiB, 24772 MiB 2022/05/21 01:43:38.417, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7962 MiB, 24548 MiB 2022/05/21 01:43:38.417, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7946 MiB, 24564 MiB 2022/05/21 01:43:38.418, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7946 MiB, 24564 MiB 2022/05/21 01:43:38.419, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7962 MiB, 24548 MiB 2022/05/21 01:43:38.419, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7738 MiB, 24772 MiB 2022/05/21 01:43:38.420, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7962 MiB, 24548 MiB 2022/05/21 01:43:38.422, Tesla V100-SXM2-32GB, 470.57.02, 76 %, 69 %, 32510 MiB, 7898 MiB, 24612 MiB 2022/05/21 01:43:38.425, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7962 MiB, 24548 MiB 2022/05/21 01:43:38.425, Tesla V100-SXM2-32GB, 470.57.02, 76 %, 69 %, 32510 MiB, 7898 MiB, 24612 MiB 2022/05/21 01:43:38.425, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7808 MiB, 24702 MiB 2022/05/21 01:43:38.425, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7808 MiB, 24702 MiB 2022/05/21 01:43:38.427, Tesla V100-SXM2-32GB, 470.57.02, 76 %, 69 %, 32510 MiB, 7898 MiB, 24612 MiB 2022/05/21 01:43:38.427, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 87 %, 32510 MiB, 7962 MiB, 24548 MiB 2022/05/21 01:43:38.428, Tesla V100-SXM2-32GB, 470.57.02, 76 %, 69 %, 32510 MiB, 7898 MiB, 24612 MiB 2022/05/21 01:43:38.430, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7946 MiB, 24564 MiB 2022/05/21 01:43:38.433, Tesla V100-SXM2-32GB, 470.57.02, 76 %, 69 %, 32510 MiB, 7898 MiB, 24612 MiB 2022/05/21 01:43:38.433, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7946 MiB, 24564 MiB 2022/05/21 01:43:38.433, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7664 MiB, 24846 MiB 2022/05/21 01:43:38.433, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7664 MiB, 24846 MiB 2022/05/21 01:43:38.434, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7946 MiB, 24564 MiB 2022/05/21 01:43:38.435, Tesla V100-SXM2-32GB, 470.57.02, 76 %, 69 %, 32510 MiB, 7898 MiB, 24612 MiB 2022/05/21 01:43:38.436, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7946 MiB, 24564 MiB 2022/05/21 01:43:38.437, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7808 MiB, 24702 MiB 2022/05/21 01:43:38.439, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7946 MiB, 24564 MiB 2022/05/21 01:43:38.440, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7808 MiB, 24702 MiB 2022/05/21 01:43:38.440, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7830 MiB, 24680 MiB 2022/05/21 01:43:38.440, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7830 MiB, 24680 MiB 2022/05/21 01:43:38.441, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7808 MiB, 24702 MiB 2022/05/21 01:43:38.442, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7946 MiB, 24564 MiB 2022/05/21 01:43:38.443, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7808 MiB, 24702 MiB 2022/05/21 01:43:38.444, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7664 MiB, 24846 MiB 2022/05/21 01:43:38.447, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7808 MiB, 24702 MiB 2022/05/21 01:43:38.447, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7664 MiB, 24846 MiB 2022/05/21 01:43:38.449, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7664 MiB, 24846 MiB 2022/05/21 01:43:38.449, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7808 MiB, 24702 MiB 2022/05/21 01:43:38.450, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7664 MiB, 24846 MiB 2022/05/21 01:43:38.452, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7830 MiB, 24680 MiB 2022/05/21 01:43:38.454, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7664 MiB, 24846 MiB 2022/05/21 01:43:38.454, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7830 MiB, 24680 MiB 2022/05/21 01:43:38.455, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7830 MiB, 24680 MiB 2022/05/21 01:43:38.456, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 70 %, 32510 MiB, 7664 MiB, 24846 MiB 2022/05/21 01:43:38.457, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7830 MiB, 24680 MiB 2022/05/21 01:43:38.460, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7830 MiB, 24680 MiB 2022/05/21 01:43:38.462, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 7830 MiB, 24680 MiB [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86738, top1: 0.00084, throughput: 1354.21 | 2022-05-21 01:44:15.961 [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86725, top1: 0.00098, throughput: 1354.23 | 2022-05-21 01:44:15.961 [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86722, top1: 0.00086, throughput: 1354.23 | 2022-05-21 01:44:15.962 [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86737, top1: 0.00074, throughput: 1354.23[rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86702, top1: 0.00084, throughput: 1354.24 | 2022-05-21 01:44:15.962 | 2022-05-21 01:44:15.962 [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86732, top1: 0.00080, throughput: 1354.14 | 2022-05-21 01:44:15.964 [rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86737, top1: 0.00098, throughput: 1354.35 | 2022-05-21 01:44:15.963 [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86702, top1: 0.00117, throughput: 1354.03 | 2022-05-21 01:44:15.967 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86755, top1: 0.00131, throughput: 1388.14 | 2022-05-21 01:44:52.845 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86741, top1: 0.00094, throughput: 1388.15 | 2022-05-21 01:44:52.846 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86745, top1: 0.00086, throughput: 1388.12 | 2022-05-21 01:44:52.846 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86717, top1: 0.00100, throughput: 1388.12 | 2022-05-21 01:44:52.846 [rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86708, top1: 0.00096, throughput: 1388.12[rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86750, top1: 0.00111, throughput: 1388.20 | 2022-05-21 01:44:52.846 | 2022-05-21 01:44:52.847 [rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86747, top1: 0.00104, throughput: 1388.06 | 2022-05-21 01:44:52.848 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86759, top1: 0.00088, throughput: 1387.89 | 2022-05-21 01:44:52.858