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: /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: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 W20220407 18:10:00.137063 3667 rpc_client.cpp:190] LoadServer 10.7.231.16 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220407 18:10:00.140246 3668 rpc_client.cpp:190] LoadServer 10.7.231.16 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220407 18:10:00.130980 3669 rpc_client.cpp:190] LoadServer 10.7.231.16 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220407 18:10:00.144143 3664 rpc_client.cpp:190] LoadServer 10.7.231.16 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220407 18:10:00.149165 3663 rpc_client.cpp:190] LoadServer 10.7.231.16 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220407 18:10:00.143851 3665 rpc_client.cpp:190] LoadServer 10.7.231.16 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: 2.88082 s ***** [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86812, top1: 0.00068, throughput: 447.49 | 2022-04-07 18:12:10.024 [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86810, top1: 0.00062, throughput: 447.50 | 2022-04-07 18:12:10.023 [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86803, top1: 0.00078, throughput: 447.45 | 2022-04-07 18:12:10.027 [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86787, top1: 0.00082, throughput: 447.48 | 2022-04-07 18:12:10.027 [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86803, top1: 0.00082, throughput: 447.47 | 2022-04-07 18:12:10.027 [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86807, top1: 0.00074, throughput: 447.48 | 2022-04-07 18:12:10.026 [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86796, top1: 0.00102, throughput: 447.45 | 2022-04-07 18:12:10.029 [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86802, top1: 0.00086, throughput: 447.47 | 2022-04-07 18:12:10.026 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] 2022/04/07 18:12:10.355, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 54 %, 32510 MiB, 8525 MiB, 23985 MiB 2022/04/07 18:12:10.356, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 54 %, 32510 MiB, 8525 MiB, 23985 MiB 2022/04/07 18:12:10.357, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 54 %, 32510 MiB, 8525 MiB, 23985 MiB 2022/04/07 18:12:10.358, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 54 %, 32510 MiB, 8525 MiB, 23985 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/07 18:12:10.363, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 31 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/04/07 18:12:10.364, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 31 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/04/07 18:12:10.365, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 31 %, 32510 MiB, 8554 MiB, 23956 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/07 18:12:10.366, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 31 %, 32510 MiB, 8554 MiB, 23956 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/07 18:12:10.368, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 54 %, 32510 MiB, 8525 MiB, 23985 MiB 2022/04/07 18:12:10.369, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 80 %, 32510 MiB, 8706 MiB, 23804 MiB 2022/04/07 18:12:10.370, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 80 %, 32510 MiB, 8706 MiB, 23804 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/07 18:12:10.370, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 80 %, 32510 MiB, 8706 MiB, 23804 MiB 2022/04/07 18:12:10.371, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 80 %, 32510 MiB, 8706 MiB, 23804 MiB 2022/04/07 18:12:10.371, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 54 %, 32510 MiB, 8525 MiB, 23985 MiB 2022/04/07 18:12:10.373, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 54 %, 32510 MiB, 8525 MiB, 23985 MiB 2022/04/07 18:12:10.375, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 89 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/04/07 18:12:10.375, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 66 %, 32510 MiB, 8658 MiB, 23852 MiB 2022/04/07 18:12:10.377, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 66 %, 32510 MiB, 8658 MiB, 23852 MiB 2022/04/07 18:12:10.377, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 66 %, 32510 MiB, 8658 MiB, 23852 MiB 2022/04/07 18:12:10.377, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 54 %, 32510 MiB, 8525 MiB, 23985 MiB 2022/04/07 18:12:10.379, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 66 %, 32510 MiB, 8658 MiB, 23852 MiB 2022/04/07 18:12:10.379, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 89 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/04/07 18:12:10.381, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 89 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/04/07 18:12:10.383, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 80 %, 32510 MiB, 8706 MiB, 23804 MiB 2022/04/07 18:12:10.383, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8674 MiB, 23836 MiB 2022/04/07 18:12:10.385, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8674 MiB, 23836 MiB 2022/04/07 18:12:10.385, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8674 MiB, 23836 MiB 2022/04/07 18:12:10.385, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 89 %, 32510 MiB, 8554 MiB, 23956 MiB 2022/04/07 18:12:10.387, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8674 MiB, 23836 MiB 2022/04/07 18:12:10.387, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 80 %, 32510 MiB, 8706 MiB, 23804 MiB 2022/04/07 18:12:10.389, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 80 %, 32510 MiB, 8706 MiB, 23804 MiB 2022/04/07 18:12:10.391, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 66 %, 32510 MiB, 8658 MiB, 23852 MiB 2022/04/07 18:12:10.392, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8518 MiB, 23992 MiB 2022/04/07 18:12:10.393, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8518 MiB, 23992 MiB 2022/04/07 18:12:10.393, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8518 MiB, 23992 MiB 2022/04/07 18:12:10.394, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 80 %, 32510 MiB, 8706 MiB, 23804 MiB 2022/04/07 18:12:10.395, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8518 MiB, 23992 MiB 2022/04/07 18:12:10.396, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 66 %, 32510 MiB, 8658 MiB, 23852 MiB 2022/04/07 18:12:10.397, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 66 %, 32510 MiB, 8658 MiB, 23852 MiB 2022/04/07 18:12:10.400, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8674 MiB, 23836 MiB 2022/04/07 18:12:10.400, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 89 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/07 18:12:10.401, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 89 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/07 18:12:10.402, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 89 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/07 18:12:10.402, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 66 %, 32510 MiB, 8658 MiB, 23852 MiB 2022/04/07 18:12:10.404, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 89 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/07 18:12:10.404, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8674 MiB, 23836 MiB 2022/04/07 18:12:10.406, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8674 MiB, 23836 MiB 2022/04/07 18:12:10.414, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8518 MiB, 23992 MiB 2022/04/07 18:12:10.414, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8586 MiB, 23924 MiB 2022/04/07 18:12:10.415, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8586 MiB, 23924 MiB 2022/04/07 18:12:10.416, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8586 MiB, 23924 MiB 2022/04/07 18:12:10.416, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8674 MiB, 23836 MiB 2022/04/07 18:12:10.418, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8586 MiB, 23924 MiB 2022/04/07 18:12:10.418, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8518 MiB, 23992 MiB 2022/04/07 18:12:10.420, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8518 MiB, 23992 MiB 2022/04/07 18:12:10.423, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 89 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/07 18:12:10.425, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 8518 MiB, 23992 MiB 2022/04/07 18:12:10.427, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 88 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/07 18:12:10.438, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 88 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/07 18:12:10.440, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 78 %, 32510 MiB, 8586 MiB, 23924 MiB 2022/04/07 18:12:10.446, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 88 %, 32510 MiB, 8406 MiB, 24104 MiB 2022/04/07 18:12:10.459, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 78 %, 32510 MiB, 8586 MiB, 23924 MiB 2022/04/07 18:12:10.461, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 78 %, 32510 MiB, 8586 MiB, 23924 MiB 2022/04/07 18:12:10.478, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 78 %, 32510 MiB, 8586 MiB, 23924 MiB [rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86786, top1: 0.00086, throughput: 1320.03 | 2022-04-07 18:12:48.814 [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86791, top1: 0.00086, throughput: 1319.87 | 2022-04-07 18:12:48.815 [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86781, top1: 0.00109, throughput: 1319.92 | 2022-04-07 18:12:48.817 [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86796, top1: 0.00086, throughput: 1319.96 | 2022-04-07 18:12:48.816 [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86800, top1: 0.00066, throughput: 1319.83 | 2022-04-07 18:12:48.816 [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86799, top1: 0.00068, throughput: 1319.96 | 2022-04-07 18:12:48.818 [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86775, top1: 0.00107, throughput: 1319.98 | 2022-04-07 18:12:48.815 [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86779, top1: 0.00074, throughput: 1319.92 | 2022-04-07 18:12:48.816 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86779, top1: 0.00078, throughput: 1342.65 | 2022-04-07 18:13:26.950 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86798, top1: 0.00098, throughput: 1342.63 | 2022-04-07 18:13:26.950 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86811, top1: 0.00078, throughput: 1342.59 | 2022-04-07 18:13:26.951 [rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86789, top1: 0.00098, throughput: 1342.50 | 2022-04-07 18:13:26.952 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86787, top1: 0.00084, throughput: 1342.60 | 2022-04-07 18:13:26.953 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86794, top1: 0.00082, throughput: 1342.64 | 2022-04-07 18:13:26.950 [rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86808, top1: 0.00098, throughput: 1342.54 | 2022-04-07 18:13:26.952 [rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86788, top1: 0.00064, throughput: 1342.59 | 2022-04-07 18:13:26.951