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: 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/usr/lib/x86_64-linux-gnu/libibverbs.so.1 W20220508 02:04:49.319756 3668 rpc_client.cpp:190] LoadServer 10.7.72.73 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220508 02:04:49.321766 3669 rpc_client.cpp:190] LoadServer 10.7.72.73 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220508 02:04:49.319828 3667 rpc_client.cpp:190] LoadServer 10.7.72.73 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 .................................. 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: 3.07454 s ***** [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86724, top1: 0.00096, throughput: 451.37 [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86714, top1: 0.00078, throughput: 451.37| 2022-05-08 02:06:57.984 | 2022-05-08 02:06:57.984 [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86697, top1: 0.00082, throughput: 451.38 | 2022-05-08 02:06:57.983 [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86706, top1: 0.00102, throughput: 451.35 | 2022-05-08 02:06:57.985 [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86710, top1: 0.00084, throughput: 451.35 | 2022-05-08 02:06:57.984 [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86706, top1: 0.00092, throughput: 451.37 | 2022-05-08 02:06:57.987 [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86695, top1: 0.00084, throughput: 451.33 | 2022-05-08 02:06:57.987 [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86678, top1: 0.00102, throughput: 451.35 | 2022-05-08 02:06:57.985 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/08 02:06:58.275, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/08 02:06:58.282, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 39 %, 32510 MiB, 8588 MiB, 23922 MiB 2022/05/08 02:06:58.287, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 8740 MiB, 23770 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] 2022/05/08 02:06:58.294, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 41 %, 32510 MiB, 8692 MiB, 23818 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/08 02:06:58.297, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/08 02:06:58.298, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/08 02:06:58.299, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/08 02:06:58.298, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 8561 MiB, 23949 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/08 02:06:58.302, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/08 02:06:58.305, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 81 %, 32510 MiB, 8588 MiB, 23922 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/08 02:06:58.306, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 81 %, 32510 MiB, 8588 MiB, 23922 MiB 2022/05/08 02:06:58.306, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 83 %, 32510 MiB, 8552 MiB, 23958 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/08 02:06:58.306, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 81 %, 32510 MiB, 8588 MiB, 23922 MiB 2022/05/08 02:06:58.309, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 81 %, 32510 MiB, 8588 MiB, 23922 MiB 2022/05/08 02:06:58.309, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/08 02:06:58.311, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 8740 MiB, 23770 MiB 2022/05/08 02:06:58.312, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 8740 MiB, 23770 MiB 2022/05/08 02:06:58.312, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/08 02:06:58.312, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8460 MiB, 24050 MiB 2022/05/08 02:06:58.313, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 8740 MiB, 23770 MiB 2022/05/08 02:06:58.313, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/08 02:06:58.317, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 8740 MiB, 23770 MiB 2022/05/08 02:06:58.317, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 81 %, 32510 MiB, 8588 MiB, 23922 MiB 2022/05/08 02:06:58.319, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 82 %, 32510 MiB, 8692 MiB, 23818 MiB 2022/05/08 02:06:58.320, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 82 %, 32510 MiB, 8692 MiB, 23818 MiB 2022/05/08 02:06:58.321, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 81 %, 32510 MiB, 8588 MiB, 23922 MiB 2022/05/08 02:06:58.321, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8620 MiB, 23890 MiB 2022/05/08 02:06:58.321, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 82 %, 32510 MiB, 8692 MiB, 23818 MiB 2022/05/08 02:06:58.322, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 81 %, 32510 MiB, 8588 MiB, 23922 MiB 2022/05/08 02:06:58.325, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 82 %, 32510 MiB, 8692 MiB, 23818 MiB 2022/05/08 02:06:58.325, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 8740 MiB, 23770 MiB 2022/05/08 02:06:58.327, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/08 02:06:58.328, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/08 02:06:58.329, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 8740 MiB, 23770 MiB 2022/05/08 02:06:58.329, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/08 02:06:58.330, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 49 %, 32510 MiB, 8740 MiB, 23770 MiB 2022/05/08 02:06:58.333, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/08 02:06:58.333, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 82 %, 32510 MiB, 8692 MiB, 23818 MiB 2022/05/08 02:06:58.335, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 83 %, 32510 MiB, 8552 MiB, 23958 MiB 2022/05/08 02:06:58.336, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 83 %, 32510 MiB, 8552 MiB, 23958 MiB 2022/05/08 02:06:58.337, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 82 %, 32510 MiB, 8692 MiB, 23818 MiB 2022/05/08 02:06:58.338, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 83 %, 32510 MiB, 8552 MiB, 23958 MiB 2022/05/08 02:06:58.338, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 82 %, 32510 MiB, 8692 MiB, 23818 MiB 2022/05/08 02:06:58.341, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 83 %, 32510 MiB, 8552 MiB, 23958 MiB 2022/05/08 02:06:58.342, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/08 02:06:58.343, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8460 MiB, 24050 MiB 2022/05/08 02:06:58.345, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8460 MiB, 24050 MiB 2022/05/08 02:06:58.345, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/08 02:06:58.346, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8460 MiB, 24050 MiB 2022/05/08 02:06:58.346, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 82 %, 32510 MiB, 8690 MiB, 23820 MiB 2022/05/08 02:06:58.349, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8460 MiB, 24050 MiB 2022/05/08 02:06:58.350, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 83 %, 32510 MiB, 8552 MiB, 23958 MiB 2022/05/08 02:06:58.352, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8620 MiB, 23890 MiB 2022/05/08 02:06:58.353, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8620 MiB, 23890 MiB 2022/05/08 02:06:58.353, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 83 %, 32510 MiB, 8552 MiB, 23958 MiB 2022/05/08 02:06:58.354, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8620 MiB, 23890 MiB 2022/05/08 02:06:58.354, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 83 %, 32510 MiB, 8552 MiB, 23958 MiB 2022/05/08 02:06:58.357, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8620 MiB, 23890 MiB 2022/05/08 02:06:58.358, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8460 MiB, 24050 MiB 2022/05/08 02:06:58.364, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8460 MiB, 24050 MiB 2022/05/08 02:06:58.365, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 86 %, 32510 MiB, 8460 MiB, 24050 MiB 2022/05/08 02:06:58.369, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 8620 MiB, 23890 MiB 2022/05/08 02:06:58.388, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 8620 MiB, 23890 MiB 2022/05/08 02:06:58.389, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 8620 MiB, 23890 MiB [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86691, top1: 0.00072, throughput: 1357.86 | 2022-05-08 02:07:35.691 [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86710, top1: 0.00057, throughput: 1357.81 [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86701, top1: 0.00090, throughput: 1357.87| 2022-05-08 02:07:35.693 | 2022-05-08 02:07:35.691 [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86701, top1: 0.00080, throughput: 1357.98 | 2022-05-08 02:07:35.689 [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86718, top1: 0.00074, throughput: 1357.83 | 2022-05-08 02:07:35.691 [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86704, top1: 0.00092, throughput: 1357.82 | 2022-05-08 02:07:35.691 [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86724, top1: 0.00068, throughput: 1358.01 | 2022-05-08 02:07:35.689 [rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86697, top1: 0.00096, throughput: 1357.74 | 2022-05-08 02:07:35.693 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86716, top1: 0.00076, throughput: 1346.98 | 2022-05-08 02:08:13.700 [rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86696, top1: 0.00084, throughput: 1346.89 | 2022-05-08 02:08:13.705 [rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86714, top1: 0.00064, throughput: 1346.99 | 2022-05-08 02:08:13.702 [rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86710, top1: 0.00109, throughput: 1347.06 | 2022-05-08 02:08:13.701 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86729, top1: 0.00082, throughput: 1346.87 | 2022-05-08 02:08:13.705 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86706, top1: 0.00072, throughput: 1347.06 | 2022-05-08 02:08:13.701 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86702, top1: 0.00107, throughput: 1346.97 | 2022-05-08 02:08:13.701 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86736, top1: 0.00102, throughput: 1346.96 | 2022-05-08 02:08:13.703