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: /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: 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 W20220510 02:08:04.326397 3667 rpc_client.cpp:190] LoadServer 10.7.63.128 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220510 02:08:04.342635 3671 rpc_client.cpp:190] LoadServer 10.7.63.128 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: 3.12704 s ***** [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86766, top1: 0.00121, throughput: 456.24 | 2022-05-10 02:10:12.048 [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86762, top1: 0.00078, throughput: 456.23 | 2022-05-10 02:10:12.048 [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86782, top1: 0.00092, throughput: 456.26 | 2022-05-10 02:10:12.048 [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86752, top1: 0.00098, throughput: 456.24 | 2022-05-10 02:10:12.051 [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86772, top1: 0.00107, throughput: 456.24 | 2022-05-10 02:10:12.051 [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86766, top1: 0.00104, throughput: 456.23 | 2022-05-10 02:10:12.049 [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86782, top1: 0.00105, throughput: 456.23 | 2022-05-10 02:10:12.052 [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86772, top1: 0.00115, throughput: 456.24 | 2022-05-10 02:10:12.051 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/10 02:10:12.345, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 42 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/10 02:10:12.353, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 40 %, 32510 MiB, 8564 MiB, 23946 MiB 2022/05/10 02:10:12.359, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 37 %, 32510 MiB, 8722 MiB, 23788 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] 2022/05/10 02:10:12.364, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8694 MiB, 23816 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/10 02:10:12.365, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 81 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/10 02:10:12.367, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 81 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/10 02:10:12.370, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 8710 MiB, 23800 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/10 02:10:12.370, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 81 %, 32510 MiB, 8561 MiB, 23949 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/10 02:10:12.372, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 82 %, 32510 MiB, 8564 MiB, 23946 MiB 2022/05/10 02:10:12.374, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 82 %, 32510 MiB, 8564 MiB, 23946 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/10 02:10:12.377, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 55 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/10 02:10:12.378, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 82 %, 32510 MiB, 8564 MiB, 23946 MiB 2022/05/10 02:10:12.377, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 81 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/10 02:10:12.378, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/10 02:10:12.378, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 81 %, 32510 MiB, 8561 MiB, 23949 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/10 02:10:12.380, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/10 02:10:12.383, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 88 %, 32510 MiB, 8462 MiB, 24048 MiB 2022/05/10 02:10:12.382, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 81 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/10 02:10:12.384, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/10 02:10:12.384, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 82 %, 32510 MiB, 8564 MiB, 23946 MiB 2022/05/10 02:10:12.385, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8694 MiB, 23816 MiB 2022/05/10 02:10:12.385, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 82 %, 32510 MiB, 8564 MiB, 23946 MiB 2022/05/10 02:10:12.386, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 81 %, 32510 MiB, 8561 MiB, 23949 MiB 2022/05/10 02:10:12.387, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8694 MiB, 23816 MiB 2022/05/10 02:10:12.390, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/10 02:10:12.391, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 82 %, 32510 MiB, 8564 MiB, 23946 MiB 2022/05/10 02:10:12.392, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8694 MiB, 23816 MiB 2022/05/10 02:10:12.392, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/10 02:10:12.393, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 8710 MiB, 23800 MiB 2022/05/10 02:10:12.393, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/10 02:10:12.395, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 82 %, 32510 MiB, 8564 MiB, 23946 MiB 2022/05/10 02:10:12.396, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 8710 MiB, 23800 MiB 2022/05/10 02:10:12.399, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/10 02:10:12.400, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 8710 MiB, 23800 MiB 2022/05/10 02:10:12.401, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8694 MiB, 23816 MiB 2022/05/10 02:10:12.401, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 55 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/10 02:10:12.402, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8694 MiB, 23816 MiB 2022/05/10 02:10:12.404, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 90 %, 32510 MiB, 8722 MiB, 23788 MiB 2022/05/10 02:10:12.404, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 55 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/10 02:10:12.408, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8694 MiB, 23816 MiB 2022/05/10 02:10:12.409, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 55 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/10 02:10:12.409, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 8710 MiB, 23800 MiB 2022/05/10 02:10:12.410, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 88 %, 32510 MiB, 8462 MiB, 24048 MiB 2022/05/10 02:10:12.410, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 8710 MiB, 23800 MiB 2022/05/10 02:10:12.412, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 66 %, 32510 MiB, 8694 MiB, 23816 MiB 2022/05/10 02:10:12.412, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 88 %, 32510 MiB, 8462 MiB, 24048 MiB 2022/05/10 02:10:12.416, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 8710 MiB, 23800 MiB 2022/05/10 02:10:12.417, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 88 %, 32510 MiB, 8462 MiB, 24048 MiB 2022/05/10 02:10:12.417, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 88 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/10 02:10:12.418, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/10 02:10:12.418, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 88 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/10 02:10:12.420, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 8710 MiB, 23800 MiB 2022/05/10 02:10:12.420, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/10 02:10:12.427, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 88 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/10 02:10:12.428, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 79 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/10 02:10:12.428, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 87 %, 32510 MiB, 8462 MiB, 24048 MiB 2022/05/10 02:10:12.429, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 87 %, 32510 MiB, 8462 MiB, 24048 MiB 2022/05/10 02:10:12.431, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 87 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/05/10 02:10:12.439, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 87 %, 32510 MiB, 8462 MiB, 24048 MiB 2022/05/10 02:10:12.474, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 78 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/10 02:10:12.478, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 78 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/10 02:10:12.482, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 87 %, 32510 MiB, 8462 MiB, 24048 MiB 2022/05/10 02:10:12.489, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 78 %, 32510 MiB, 8602 MiB, 23908 MiB 2022/05/10 02:10:12.494, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 78 %, 32510 MiB, 8602 MiB, 23908 MiB [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86803, top1: 0.00072, throughput: 1354.83 | 2022-05-10 02:10:49.839 [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86788, top1: 0.00107, throughput: 1354.78 | 2022-05-10 02:10:49.840 [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86742, top1: 0.00111, throughput: 1354.83 | 2022-05-10 02:10:49.838 [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86799, top1: 0.00121, throughput: 1354.93 | 2022-05-10 02:10:49.838 [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86788, top1: 0.00100, throughput: 1354.80 | 2022-05-10 02:10:49.842 [rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86786, top1: 0.00117, throughput: 1354.95 | 2022-05-10 02:10:49.839 [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86750, top1: 0.00107, throughput: 1354.81 | 2022-05-10 02:10:49.840 [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86783, top1: 0.00100, throughput: 1354.91 | 2022-05-10 02:10:49.840 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86759, top1: 0.00113, throughput: 1365.74 | 2022-05-10 02:11:27.329 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86772, top1: 0.00086, throughput: 1365.60 | 2022-05-10 02:11:27.332 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86773, top1: 0.00105, throughput: 1365.70 | 2022-05-10 02:11:27.332 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86789, top1: 0.00076, throughput: 1365.66 | 2022-05-10 02:11:27.331 [rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86771, top1: 0.00117, throughput: 1365.58 | 2022-05-10 02:11:27.332 [rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86763, top1: 0.00096, throughput: 1365.59 | 2022-05-10 02:11:27.333 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86765, top1: 0.00107, throughput: 1365.60 | 2022-05-10 02:11:27.331 [rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86735, top1: 0.00113, throughput: 1365.60 | 2022-05-10 02:11:27.331