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: loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1/usr/lib/x86_64-linux-gnu/libibverbs.so.1 W20220503 01:58:28.570644 404 rpc_client.cpp:190] LoadServer 10.7.164.156 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220503 01:58:28.571718 406 rpc_client.cpp:190] LoadServer 10.7.164.156 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220503 01:58:28.571626 408 rpc_client.cpp:190] LoadServer 10.7.164.156 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220503 01:58:28.571626 409 rpc_client.cpp:190] LoadServer 10.7.164.156 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220503 01:58:28.572466 407 rpc_client.cpp:190] LoadServer 10.7.164.156 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220503 01:58:28.572352 405 rpc_client.cpp:190] LoadServer 10.7.164.156 Failed at 0 times error_code 14 error_message failed to connect to all addresses ------------------------ 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: 3.11851 s ***** [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86756, top1: 0.00109, throughput: 419.98 | 2022-05-03 02:00:46.062 [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86775, top1: 0.00078, throughput: 419.98 | 2022-05-03 02:00:46.063 [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86754, top1: 0.00104, throughput: 420.01 | 2022-05-03 02:00:46.063 [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86777, top1: 0.00111, throughput: 420.03 | 2022-05-03 02:00:46.063 [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86783, top1: 0.00111, throughput: 419.98 | 2022-05-03 02:00:46.063 [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86761, top1: 0.00115, throughput: 420.00 | 2022-05-03 02:00:46.065 [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86778, top1: 0.00102, throughput: 420.02 | 2022-05-03 02:00:46.068 [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86780, top1: 0.00117, throughput: 419.85 | 2022-05-03 02:00:46.101 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] 2022/05/03 02:00:46.284, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7779 MiB, 24731 MiB 2022/05/03 02:00:46.286, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7779 MiB, 24731 MiB 2022/05/03 02:00:46.287, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7779 MiB, 24731 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/03 02:00:46.292, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 55 %, 32510 MiB, 7760 MiB, 24750 MiB 2022/05/03 02:00:46.295, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 55 %, 32510 MiB, 7760 MiB, 24750 MiB 2022/05/03 02:00:46.295, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 55 %, 32510 MiB, 7760 MiB, 24750 MiB 2022/05/03 02:00:46.298, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7779 MiB, 24731 MiB 2022/05/03 02:00:46.299, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 7984 MiB, 24526 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/03 02:00:46.302, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 7984 MiB, 24526 MiB 2022/05/03 02:00:46.302, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 7984 MiB, 24526 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] 2022/05/03 02:00:46.304, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 55 %, 32510 MiB, 7760 MiB, 24750 MiB 2022/05/03 02:00:46.305, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7920 MiB, 24590 MiB 2022/05/03 02:00:46.305, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7779 MiB, 24731 MiB 2022/05/03 02:00:46.307, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7920 MiB, 24590 MiB 2022/05/03 02:00:46.307, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7920 MiB, 24590 MiB 2022/05/03 02:00:46.307, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7779 MiB, 24731 MiB 2022/05/03 02:00:46.319, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7779 MiB, 24731 MiB 2022/05/03 02:00:46.322, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 85 %, 32510 MiB, 7984 MiB, 24526 MiB 2022/05/03 02:00:46.322, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7950 MiB, 24560 MiB 2022/05/03 02:00:46.324, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 55 %, 32510 MiB, 7760 MiB, 24750 MiB 2022/05/03 02:00:46.324, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7950 MiB, 24560 MiB 2022/05/03 02:00:46.325, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7950 MiB, 24560 MiB 2022/05/03 02:00:46.326, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 55 %, 32510 MiB, 7760 MiB, 24750 MiB 2022/05/03 02:00:46.327, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 55 %, 32510 MiB, 7760 MiB, 24750 MiB 2022/05/03 02:00:46.333, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7920 MiB, 24590 MiB 2022/05/03 02:00:46.333, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 7804 MiB, 24706 MiB 2022/05/03 02:00:46.334, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 85 %, 32510 MiB, 7984 MiB, 24526 MiB 2022/05/03 02:00:46.335, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 7804 MiB, 24706 MiB 2022/05/03 02:00:46.336, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 7804 MiB, 24706 MiB 2022/05/03 02:00:46.337, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 85 %, 32510 MiB, 7984 MiB, 24526 MiB 2022/05/03 02:00:46.338, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 85 %, 32510 MiB, 7984 MiB, 24526 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/03 02:00:46.339, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7950 MiB, 24560 MiB 2022/05/03 02:00:46.339, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7666 MiB, 24844 MiB 2022/05/03 02:00:46.341, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7920 MiB, 24590 MiB 2022/05/03 02:00:46.342, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7666 MiB, 24844 MiB 2022/05/03 02:00:46.342, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7666 MiB, 24844 MiB 2022/05/03 02:00:46.343, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7920 MiB, 24590 MiB 2022/05/03 02:00:46.344, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7920 MiB, 24590 MiB 2022/05/03 02:00:46.345, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 7804 MiB, 24706 MiB 2022/05/03 02:00:46.345, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7832 MiB, 24678 MiB 2022/05/03 02:00:46.345, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7779 MiB, 24731 MiB 2022/05/03 02:00:46.347, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7950 MiB, 24560 MiB 2022/05/03 02:00:46.348, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7832 MiB, 24678 MiB 2022/05/03 02:00:46.349, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7832 MiB, 24678 MiB 2022/05/03 02:00:46.349, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7950 MiB, 24560 MiB 2022/05/03 02:00:46.351, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7950 MiB, 24560 MiB 2022/05/03 02:00:46.352, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7666 MiB, 24844 MiB 2022/05/03 02:00:46.353, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 55 %, 32510 MiB, 7760 MiB, 24750 MiB 2022/05/03 02:00:46.354, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 7804 MiB, 24706 MiB 2022/05/03 02:00:46.358, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 7804 MiB, 24706 MiB 2022/05/03 02:00:46.360, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 7804 MiB, 24706 MiB 2022/05/03 02:00:46.362, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7832 MiB, 24678 MiB 2022/05/03 02:00:46.362, Tesla V100-SXM2-32GB, 470.57.02, 95 %, 85 %, 32510 MiB, 7984 MiB, 24526 MiB 2022/05/03 02:00:46.364, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7666 MiB, 24844 MiB 2022/05/03 02:00:46.366, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7666 MiB, 24844 MiB 2022/05/03 02:00:46.367, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7666 MiB, 24844 MiB 2022/05/03 02:00:46.369, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7920 MiB, 24590 MiB 2022/05/03 02:00:46.371, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7832 MiB, 24678 MiB 2022/05/03 02:00:46.373, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7832 MiB, 24678 MiB 2022/05/03 02:00:46.375, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7832 MiB, 24678 MiB 2022/05/03 02:00:46.377, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7950 MiB, 24560 MiB 2022/05/03 02:00:46.386, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 71 %, 32510 MiB, 7804 MiB, 24706 MiB 2022/05/03 02:00:46.400, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7666 MiB, 24844 MiB 2022/05/03 02:00:46.411, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 67 %, 32510 MiB, 7832 MiB, 24678 MiB [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86796, top1: 0.00123, throughput: 1297.90 | 2022-05-03 02:01:25.510 [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86782, top1: 0.00125, throughput: 1297.90 | 2022-05-03 02:01:25.511 [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86776, top1: 0.00125, throughput: 1297.94 | 2022-05-03 02:01:25.511 [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86761, top1: 0.00113, throughput: 1297.93 | 2022-05-03 02:01:25.511 [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86803, top1: 0.00105, throughput: 1297.88 | 2022-05-03 02:01:25.512 [rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86776, top1: 0.00107, throughput: 1299.14 | 2022-05-03 02:01:25.511 [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86781, top1: 0.00096, throughput: 1298.00 | 2022-05-03 02:01:25.513 [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86789, top1: 0.00086, throughput: 1297.85 | 2022-05-03 02:01:25.515 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86792, top1: 0.00084, throughput: 1363.18 | 2022-05-03 02:02:03.074 [rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86791, top1: 0.00119, throughput: 1363.06 | 2022-05-03 02:02:03.075 [rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86792, top1: 0.00107, throughput: 1363.09 | 2022-05-03 02:02:03.073 [rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86757, top1: 0.00088, throughput: 1363.06 | 2022-05-03 02:02:03.073 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86767, top1: 0.00107, throughput: 1362.99 | 2022-05-03 02:02:03.075 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86772, top1: 0.00094, throughput: 1362.85 | 2022-05-03 02:02:03.078 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86776, top1: 0.00104, throughput: 1363.09 | 2022-05-03 02:02:03.073 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86769, top1: 0.00100, throughput: 1362.87 | 2022-05-03 02:02:03.078