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: /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 loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 W20220408 09:53:48.783185 406 rpc_client.cpp:190] LoadServer 10.7.235.128 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220408 09:53:48.780827 405 rpc_client.cpp:190] LoadServer 10.7.235.128 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 .................................. 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: 2.74867 s ***** [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86740, top1: 0.00096, throughput: 420.98 | 2022-04-08 09:56:05.195 [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86754, top1: 0.00094, throughput: 420.99 | 2022-04-08 09:56:05.196 [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86770, top1: 0.00104, throughput: 421.00 | 2022-04-08 09:56:05.195 [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86723, top1: 0.00105, throughput: 420.99 | 2022-04-08 09:56:05.194 [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86755, top1: 0.00127, throughput: 420.98[rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86731, top1: 0.00133, throughput: 420.99 | 2022-04-08 09:56:05.194 | 2022-04-08 09:56:05.195 [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86741, top1: 0.00119, throughput: 420.97 | 2022-04-08 09:56:05.197 [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86728, top1: 0.00090, throughput: 421.00 | 2022-04-08 09:56:05.197 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/08 09:56:05.452, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 81 %, 32510 MiB, 7771 MiB, 24739 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 09:56:05.460, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7732 MiB, 24778 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 09:56:05.466, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 81 %, 32510 MiB, 7771 MiB, 24739 MiB 2022/04/08 09:56:05.466, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 81 %, 32510 MiB, 7771 MiB, 24739 MiB 2022/04/08 09:56:05.467, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 81 %, 32510 MiB, 7771 MiB, 24739 MiB 2022/04/08 09:56:05.471, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 84 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/08 09:56:05.478, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 81 %, 32510 MiB, 7771 MiB, 24739 MiB 2022/04/08 09:56:05.478, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 81 %, 32510 MiB, 7771 MiB, 24739 MiB 2022/04/08 09:56:05.478, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 81 %, 32510 MiB, 7771 MiB, 24739 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/08 09:56:05.480, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7732 MiB, 24778 MiB 2022/04/08 09:56:05.481, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7732 MiB, 24778 MiB 2022/04/08 09:56:05.481, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7732 MiB, 24778 MiB 2022/04/08 09:56:05.484, Tesla V100-SXM2-32GB, 470.57.02, 91 %, 79 %, 32510 MiB, 7882 MiB, 24628 MiB 2022/04/08 09:56:05.486, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7732 MiB, 24778 MiB 2022/04/08 09:56:05.487, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7732 MiB, 24778 MiB 2022/04/08 09:56:05.487, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7732 MiB, 24778 MiB 2022/04/08 09:56:05.488, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 84 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/08 09:56:05.488, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 81 %, 32510 MiB, 7771 MiB, 24739 MiB 2022/04/08 09:56:05.488, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 84 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/08 09:56:05.489, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 84 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/08 09:56:05.492, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 63 %, 32510 MiB, 7876 MiB, 24634 MiB 2022/04/08 09:56:05.494, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 84 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/08 09:56:05.494, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 84 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/08 09:56:05.495, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 84 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/08 09:56:05.496, Tesla V100-SXM2-32GB, 470.57.02, 91 %, 79 %, 32510 MiB, 7882 MiB, 24628 MiB 2022/04/08 09:56:05.496, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7732 MiB, 24778 MiB 2022/04/08 09:56:05.496, Tesla V100-SXM2-32GB, 470.57.02, 91 %, 79 %, 32510 MiB, 7882 MiB, 24628 MiB 2022/04/08 09:56:05.496, Tesla V100-SXM2-32GB, 470.57.02, 91 %, 79 %, 32510 MiB, 7882 MiB, 24628 MiB 2022/04/08 09:56:05.499, Tesla V100-SXM2-32GB, 470.57.02, 83 %, 70 %, 32510 MiB, 7750 MiB, 24760 MiB 2022/04/08 09:56:05.502, Tesla V100-SXM2-32GB, 470.57.02, 91 %, 79 %, 32510 MiB, 7882 MiB, 24628 MiB 2022/04/08 09:56:05.502, Tesla V100-SXM2-32GB, 470.57.02, 91 %, 79 %, 32510 MiB, 7882 MiB, 24628 MiB 2022/04/08 09:56:05.502, Tesla V100-SXM2-32GB, 470.57.02, 91 %, 79 %, 32510 MiB, 7882 MiB, 24628 MiB 2022/04/08 09:56:05.503, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 63 %, 32510 MiB, 7876 MiB, 24634 MiB 2022/04/08 09:56:05.504, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 84 %, 32510 MiB, 7940 MiB, 24570 MiB 2022/04/08 09:56:05.504, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 63 %, 32510 MiB, 7876 MiB, 24634 MiB 2022/04/08 09:56:05.504, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 63 %, 32510 MiB, 7876 MiB, 24634 MiB 2022/04/08 09:56:05.507, Tesla V100-SXM2-32GB, 470.57.02, 86 %, 74 %, 32510 MiB, 7630 MiB, 24880 MiB 2022/04/08 09:56:05.509, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 63 %, 32510 MiB, 7876 MiB, 24634 MiB 2022/04/08 09:56:05.509, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 63 %, 32510 MiB, 7876 MiB, 24634 MiB 2022/04/08 09:56:05.509, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 63 %, 32510 MiB, 7876 MiB, 24634 MiB 2022/04/08 09:56:05.511, Tesla V100-SXM2-32GB, 470.57.02, 83 %, 70 %, 32510 MiB, 7750 MiB, 24760 MiB 2022/04/08 09:56:05.511, Tesla V100-SXM2-32GB, 470.57.02, 91 %, 79 %, 32510 MiB, 7882 MiB, 24628 MiB 2022/04/08 09:56:05.511, Tesla V100-SXM2-32GB, 470.57.02, 83 %, 70 %, 32510 MiB, 7750 MiB, 24760 MiB 2022/04/08 09:56:05.511, Tesla V100-SXM2-32GB, 470.57.02, 83 %, 70 %, 32510 MiB, 7750 MiB, 24760 MiB 2022/04/08 09:56:05.514, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 67 %, 32510 MiB, 7814 MiB, 24696 MiB 2022/04/08 09:56:05.516, Tesla V100-SXM2-32GB, 470.57.02, 83 %, 70 %, 32510 MiB, 7750 MiB, 24760 MiB 2022/04/08 09:56:05.517, Tesla V100-SXM2-32GB, 470.57.02, 83 %, 70 %, 32510 MiB, 7750 MiB, 24760 MiB 2022/04/08 09:56:05.517, Tesla V100-SXM2-32GB, 470.57.02, 83 %, 70 %, 32510 MiB, 7750 MiB, 24760 MiB 2022/04/08 09:56:05.518, Tesla V100-SXM2-32GB, 470.57.02, 86 %, 74 %, 32510 MiB, 7630 MiB, 24880 MiB 2022/04/08 09:56:05.518, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 63 %, 32510 MiB, 7876 MiB, 24634 MiB 2022/04/08 09:56:05.518, Tesla V100-SXM2-32GB, 470.57.02, 86 %, 74 %, 32510 MiB, 7630 MiB, 24880 MiB 2022/04/08 09:56:05.519, Tesla V100-SXM2-32GB, 470.57.02, 86 %, 74 %, 32510 MiB, 7630 MiB, 24880 MiB 2022/04/08 09:56:05.524, Tesla V100-SXM2-32GB, 470.57.02, 86 %, 74 %, 32510 MiB, 7630 MiB, 24880 MiB 2022/04/08 09:56:05.524, Tesla V100-SXM2-32GB, 470.57.02, 86 %, 74 %, 32510 MiB, 7630 MiB, 24880 MiB 2022/04/08 09:56:05.525, Tesla V100-SXM2-32GB, 470.57.02, 86 %, 74 %, 32510 MiB, 7630 MiB, 24880 MiB 2022/04/08 09:56:05.526, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 67 %, 32510 MiB, 7814 MiB, 24696 MiB 2022/04/08 09:56:05.526, Tesla V100-SXM2-32GB, 470.57.02, 83 %, 70 %, 32510 MiB, 7750 MiB, 24760 MiB 2022/04/08 09:56:05.526, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 67 %, 32510 MiB, 7814 MiB, 24696 MiB 2022/04/08 09:56:05.526, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 67 %, 32510 MiB, 7814 MiB, 24696 MiB 2022/04/08 09:56:05.531, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 67 %, 32510 MiB, 7814 MiB, 24696 MiB 2022/04/08 09:56:05.532, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 67 %, 32510 MiB, 7814 MiB, 24696 MiB 2022/04/08 09:56:05.532, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 67 %, 32510 MiB, 7814 MiB, 24696 MiB 2022/04/08 09:56:05.533, Tesla V100-SXM2-32GB, 470.57.02, 86 %, 74 %, 32510 MiB, 7630 MiB, 24880 MiB 2022/04/08 09:56:05.540, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 67 %, 32510 MiB, 7814 MiB, 24696 MiB [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86735, top1: 0.00119, throughput: 1325.17 | 2022-04-08 09:56:43.832 [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86747, top1: 0.00092, throughput: 1325.06 | 2022-04-08 09:56:43.834 [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86762, top1: 0.00111, throughput: 1325.11 | 2022-04-08 09:56:43.833 [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86727, top1: 0.00125, throughput: 1325.19 | 2022-04-08 09:56:43.833 [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86741, top1: 0.00119, throughput: 1324.99 | 2022-04-08 09:56:43.838 [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86745, top1: 0.00096, throughput: 1325.09 | 2022-04-08 09:56:43.833 [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86739, top1: 0.00113, throughput: 1325.02 | 2022-04-08 09:56:43.835 [rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86767, top1: 0.00127, throughput: 1325.07 | 2022-04-08 09:56:43.836 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86739, top1: 0.00125, throughput: 1322.73 | 2022-04-08 09:57:22.541 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86748, top1: 0.00121, throughput: 1322.65 | 2022-04-08 09:57:22.542 [rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86742, top1: 0.00115, throughput: 1322.68 | 2022-04-08 09:57:22.543 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86737, top1: 0.00115, throughput: 1322.75 | 2022-04-08 09:57:22.542 [rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86769, top1: 0.00102, throughput: 1322.79 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86773, top1: 0.00096, throughput: 1322.64| 2022-04-08 09:57:22.544 | 2022-04-08 09:57:22.543 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86724, top1: 0.00109, throughput: 1322.63 | 2022-04-08 09:57:22.544 [rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86760, top1: 0.00115, throughput: 1322.73 | 2022-04-08 09:57:22.544