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: /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: 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 ------------------------ 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 .................................. 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: 2.94070 s ***** [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86736, top1: 0.00105, throughput: 448.24 | 2022-04-08 10:03:44.843 [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86713, top1: 0.00111, throughput: 448.23 | 2022-04-08 10:03:44.843 [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86732, top1: 0.00084, throughput: 448.24 | 2022-04-08 10:03:44.845 [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86733, top1: 0.00082, throughput: 448.24 | 2022-04-08 10:03:44.842 [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86713, top1: 0.00117, throughput: 448.23 | 2022-04-08 10:03:44.846 [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86734, top1: 0.00119, throughput: 448.26 | 2022-04-08 10:03:44.842 [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86745, top1: 0.00094, throughput: 448.24 | 2022-04-08 10:03:44.846 [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86733, top1: 0.00105, throughput: 448.24 | 2022-04-08 10:03:44.847 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] 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] 2022/04/08 10:03:45.145, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 8525 MiB, 23985 MiB 2022/04/08 10:03:45.146, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 8525 MiB, 23985 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/08 10:03:45.147, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 8525 MiB, 23985 MiB 2022/04/08 10:03:45.148, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 8525 MiB, 23985 MiB 2022/04/08 10:03:45.149, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 8525 MiB, 23985 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] 2022/04/08 10:03:45.153, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 84 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/04/08 10:03:45.154, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 84 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/04/08 10:03:45.154, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 8525 MiB, 23985 MiB 2022/04/08 10:03:45.155, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 84 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/04/08 10:03:45.156, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 84 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/04/08 10:03:45.157, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 84 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/04/08 10:03:45.164, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 8525 MiB, 23985 MiB 2022/04/08 10:03:45.164, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 85 %, 32510 MiB, 8525 MiB, 23985 MiB 2022/04/08 10:03:45.165, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 86 %, 32510 MiB, 8706 MiB, 23804 MiB 2022/04/08 10:03:45.166, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 86 %, 32510 MiB, 8706 MiB, 23804 MiB 2022/04/08 10:03:45.168, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 84 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/04/08 10:03:45.168, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 86 %, 32510 MiB, 8706 MiB, 23804 MiB 2022/04/08 10:03:45.169, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 86 %, 32510 MiB, 8706 MiB, 23804 MiB 2022/04/08 10:03:45.171, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 86 %, 32510 MiB, 8706 MiB, 23804 MiB 2022/04/08 10:03:45.174, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 84 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/04/08 10:03:45.174, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 84 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/04/08 10:03:45.174, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 84 %, 32510 MiB, 8658 MiB, 23852 MiB 2022/04/08 10:03:45.176, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 83 %, 32510 MiB, 8658 MiB, 23852 MiB 2022/04/08 10:03:45.177, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 83 %, 32510 MiB, 8706 MiB, 23804 MiB 2022/04/08 10:03:45.177, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 83 %, 32510 MiB, 8658 MiB, 23852 MiB 2022/04/08 10:03:45.179, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 83 %, 32510 MiB, 8658 MiB, 23852 MiB 2022/04/08 10:03:45.192, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 83 %, 32510 MiB, 8658 MiB, 23852 MiB 2022/04/08 10:03:45.199, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 83 %, 32510 MiB, 8706 MiB, 23804 MiB 2022/04/08 10:03:45.199, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 83 %, 32510 MiB, 8706 MiB, 23804 MiB 2022/04/08 10:03:45.199, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 84 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/04/08 10:03:45.228, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 84 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/04/08 10:03:45.243, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 83 %, 32510 MiB, 8658 MiB, 23852 MiB 2022/04/08 10:03:45.245, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 84 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/04/08 10:03:45.262, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/04/08 10:03:45.266, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/04/08 10:03:45.271, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 83 %, 32510 MiB, 8658 MiB, 23852 MiB 2022/04/08 10:03:45.272, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 83 %, 32510 MiB, 8658 MiB, 23852 MiB 2022/04/08 10:03:45.274, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8538 MiB, 23972 MiB 2022/04/08 10:03:45.278, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8538 MiB, 23972 MiB 2022/04/08 10:03:45.281, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/04/08 10:03:45.281, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8538 MiB, 23972 MiB 2022/04/08 10:03:45.297, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8538 MiB, 23972 MiB 2022/04/08 10:03:45.300, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8538 MiB, 23972 MiB 2022/04/08 10:03:45.306, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/04/08 10:03:45.306, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 8654 MiB, 23856 MiB 2022/04/08 10:03:45.308, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 58 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/08 10:03:45.310, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 58 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/08 10:03:45.311, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8538 MiB, 23972 MiB 2022/04/08 10:03:45.311, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 58 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/08 10:03:45.314, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 58 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/08 10:03:45.317, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 58 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/08 10:03:45.326, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8538 MiB, 23972 MiB 2022/04/08 10:03:45.326, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8538 MiB, 23972 MiB 2022/04/08 10:03:45.327, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 8586 MiB, 23924 MiB 2022/04/08 10:03:45.333, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 8586 MiB, 23924 MiB 2022/04/08 10:03:45.334, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 58 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/08 10:03:45.334, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 8586 MiB, 23924 MiB 2022/04/08 10:03:45.336, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 8586 MiB, 23924 MiB 2022/04/08 10:03:45.337, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 77 %, 32510 MiB, 8586 MiB, 23924 MiB 2022/04/08 10:03:45.345, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 58 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/08 10:03:45.347, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 58 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/08 10:03:45.350, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 8586 MiB, 23924 MiB 2022/04/08 10:03:45.370, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 8586 MiB, 23924 MiB 2022/04/08 10:03:45.370, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 8586 MiB, 23924 MiB [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86743, top1: 0.00066, throughput: 1327.73 | 2022-04-08 10:04:23.408 [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86739, top1: 0.00127, throughput: 1327.74 | 2022-04-08 10:04:23.408 [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86740, top1: 0.00098, throughput: 1327.64 | 2022-04-08 10:04:23.408 [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86749, top1: 0.00115, throughput: 1327.62 [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86753, top1: 0.00102, throughput: 1327.60| 2022-04-08 10:04:23.408 | 2022-04-08 10:04:23.408 [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86735, top1: 0.00096, throughput: 1327.70 | 2022-04-08 10:04:23.409 [rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86743, top1: 0.00111, throughput: 1327.68 | 2022-04-08 10:04:23.408 [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86735, top1: 0.00088, throughput: 1327.58 | 2022-04-08 10:04:23.409 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86740, top1: 0.00117, throughput: 1344.53 | 2022-04-08 10:05:01.488 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86755, top1: 0.00105, throughput: 1344.40 | 2022-04-08 10:05:01.493 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86736, top1: 0.00113, throughput: 1344.54 | 2022-04-08 10:05:01.488 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86745, top1: 0.00105, throughput: 1344.49 | 2022-04-08 10:05:01.489 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86740, top1: 0.00107, throughput: 1344.39 | 2022-04-08 10:05:01.493 [rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86745, top1: 0.00105, throughput: 1344.46[rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86735, top1: 0.00123, throughput: 1344.41 | 2022-04-08 10:05:01.491 | 2022-04-08 10:05:01.491 [rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86751, top1: 0.00115, throughput: 1344.40 | 2022-04-08 10:05:01.493