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: /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 loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 W20220407 18:02:01.339442 404 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 .................................. 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: 2.80750 s ***** [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86795, top1: 0.00107, throughput: 422.86 | 2022-04-07 18:04:17.672 [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86803, top1: 0.00092, throughput: 422.88 | 2022-04-07 18:04:17.672 [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86795, top1: 0.00119, throughput: 422.88 | 2022-04-07 18:04:17.672 [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86776, top1: 0.00100, throughput: 422.86 | 2022-04-07 18:04:17.674 [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86772, top1: 0.00092, throughput: 422.87 | 2022-04-07 18:04:17.672 [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86792, top1: 0.00104, throughput: 422.87 | 2022-04-07 18:04:17.673 [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86772, top1: 0.00094, throughput: 422.86 | 2022-04-07 18:04:17.675 [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86807, top1: 0.00107, throughput: 422.87 | 2022-04-07 18:04:17.674 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 18:04:17.914, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 81 %, 32510 MiB, 7757 MiB, 24753 MiB 2022/04/07 18:04:17.914, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 81 %, 32510 MiB, 7757 MiB, 24753 MiB 2022/04/07 18:04:17.921, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 76 %, 32510 MiB, 7754 MiB, 24756 MiB 2022/04/07 18:04:17.921, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 76 %, 32510 MiB, 7754 MiB, 24756 MiB 2022/04/07 18:04:17.932, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 7944 MiB, 24566 MiB 2022/04/07 18:04:17.933, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 7944 MiB, 24566 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 18:04:17.937, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 7884 MiB, 24626 MiB 2022/04/07 18:04:17.937, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 7884 MiB, 24626 MiB 2022/04/07 18:04:17.941, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 81 %, 32510 MiB, 7757 MiB, 24753 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/07 18:04:17.943, Tesla V100-SXM2-32GB, 470.57.02, 93 %, 81 %, 32510 MiB, 7890 MiB, 24620 MiB 2022/04/07 18:04:17.943, Tesla V100-SXM2-32GB, 470.57.02, 93 %, 81 %, 32510 MiB, 7890 MiB, 24620 MiB 2022/04/07 18:04:17.943, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 81 %, 32510 MiB, 7757 MiB, 24753 MiB 2022/04/07 18:04:17.950, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 76 %, 32510 MiB, 7754 MiB, 24756 MiB 2022/04/07 18:04:17.951, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7776 MiB, 24734 MiB 2022/04/07 18:04:17.950, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 81 %, 32510 MiB, 7757 MiB, 24753 MiB 2022/04/07 18:04:17.951, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 7776 MiB, 24734 MiB 2022/04/07 18:04:17.952, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 76 %, 32510 MiB, 7754 MiB, 24756 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 18:04:17.958, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 7944 MiB, 24566 MiB 2022/04/07 18:04:17.959, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 7632 MiB, 24878 MiB 2022/04/07 18:04:17.959, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 76 %, 32510 MiB, 7754 MiB, 24756 MiB 2022/04/07 18:04:17.959, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 68 %, 32510 MiB, 7632 MiB, 24878 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/07 18:04:17.960, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 7944 MiB, 24566 MiB 2022/04/07 18:04:17.962, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 81 %, 32510 MiB, 7757 MiB, 24753 MiB 2022/04/07 18:04:17.964, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 81 %, 32510 MiB, 7757 MiB, 24753 MiB 2022/04/07 18:04:17.966, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 7884 MiB, 24626 MiB 2022/04/07 18:04:17.967, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 60 %, 32510 MiB, 7776 MiB, 24734 MiB 2022/04/07 18:04:17.967, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 7944 MiB, 24566 MiB 2022/04/07 18:04:17.968, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 60 %, 32510 MiB, 7776 MiB, 24734 MiB 2022/04/07 18:04:17.968, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 7884 MiB, 24626 MiB 2022/04/07 18:04:17.968, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 81 %, 32510 MiB, 7757 MiB, 24753 MiB 2022/04/07 18:04:17.970, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 76 %, 32510 MiB, 7754 MiB, 24756 MiB 2022/04/07 18:04:17.972, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 76 %, 32510 MiB, 7754 MiB, 24756 MiB 2022/04/07 18:04:17.974, Tesla V100-SXM2-32GB, 470.57.02, 93 %, 81 %, 32510 MiB, 7890 MiB, 24620 MiB 2022/04/07 18:04:17.975, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 7884 MiB, 24626 MiB 2022/04/07 18:04:17.976, Tesla V100-SXM2-32GB, 470.57.02, 93 %, 81 %, 32510 MiB, 7890 MiB, 24620 MiB 2022/04/07 18:04:17.976, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 76 %, 32510 MiB, 7754 MiB, 24756 MiB 2022/04/07 18:04:17.978, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 7944 MiB, 24566 MiB 2022/04/07 18:04:17.980, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 7944 MiB, 24566 MiB 2022/04/07 18:04:17.982, Tesla V100-SXM2-32GB, 470.57.02, 76 %, 65 %, 32510 MiB, 7776 MiB, 24734 MiB 2022/04/07 18:04:17.983, Tesla V100-SXM2-32GB, 470.57.02, 93 %, 81 %, 32510 MiB, 7890 MiB, 24620 MiB 2022/04/07 18:04:17.983, Tesla V100-SXM2-32GB, 470.57.02, 76 %, 65 %, 32510 MiB, 7776 MiB, 24734 MiB 2022/04/07 18:04:17.984, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 7944 MiB, 24566 MiB 2022/04/07 18:04:17.986, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 7884 MiB, 24626 MiB 2022/04/07 18:04:17.988, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 7884 MiB, 24626 MiB 2022/04/07 18:04:17.989, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 52 %, 32510 MiB, 7632 MiB, 24878 MiB 2022/04/07 18:04:17.990, Tesla V100-SXM2-32GB, 470.57.02, 76 %, 65 %, 32510 MiB, 7776 MiB, 24734 MiB 2022/04/07 18:04:17.991, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 52 %, 32510 MiB, 7632 MiB, 24878 MiB 2022/04/07 18:04:17.992, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 79 %, 32510 MiB, 7884 MiB, 24626 MiB 2022/04/07 18:04:17.993, Tesla V100-SXM2-32GB, 470.57.02, 93 %, 81 %, 32510 MiB, 7890 MiB, 24620 MiB 2022/04/07 18:04:17.995, Tesla V100-SXM2-32GB, 470.57.02, 93 %, 81 %, 32510 MiB, 7890 MiB, 24620 MiB 2022/04/07 18:04:17.997, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 60 %, 32510 MiB, 7776 MiB, 24734 MiB 2022/04/07 18:04:17.998, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 52 %, 32510 MiB, 7632 MiB, 24878 MiB 2022/04/07 18:04:17.999, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 60 %, 32510 MiB, 7776 MiB, 24734 MiB 2022/04/07 18:04:17.999, Tesla V100-SXM2-32GB, 470.57.02, 93 %, 81 %, 32510 MiB, 7890 MiB, 24620 MiB 2022/04/07 18:04:18.001, Tesla V100-SXM2-32GB, 470.57.02, 76 %, 65 %, 32510 MiB, 7776 MiB, 24734 MiB 2022/04/07 18:04:18.002, Tesla V100-SXM2-32GB, 470.57.02, 76 %, 65 %, 32510 MiB, 7776 MiB, 24734 MiB 2022/04/07 18:04:18.013, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 60 %, 32510 MiB, 7776 MiB, 24734 MiB 2022/04/07 18:04:18.014, Tesla V100-SXM2-32GB, 470.57.02, 76 %, 65 %, 32510 MiB, 7776 MiB, 24734 MiB 2022/04/07 18:04:18.015, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 52 %, 32510 MiB, 7632 MiB, 24878 MiB 2022/04/07 18:04:18.017, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 52 %, 32510 MiB, 7632 MiB, 24878 MiB 2022/04/07 18:04:18.021, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 52 %, 32510 MiB, 7632 MiB, 24878 MiB 2022/04/07 18:04:18.023, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 60 %, 32510 MiB, 7776 MiB, 24734 MiB 2022/04/07 18:04:18.024, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 60 %, 32510 MiB, 7776 MiB, 24734 MiB 2022/04/07 18:04:18.031, Tesla V100-SXM2-32GB, 470.57.02, 71 %, 60 %, 32510 MiB, 7776 MiB, 24734 MiB [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86780, top1: 0.00102, throughput: 1328.76 | 2022-04-07 18:04:56.204 [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86806, top1: 0.00096, throughput: 1328.75 | 2022-04-07 18:04:56.205 [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86796, top1: 0.00096, throughput: 1328.80 | 2022-04-07 18:04:56.204 [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86791, top1: 0.00096, throughput: 1328.67 | 2022-04-07 18:04:56.206 [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86800, top1: 0.00084, throughput: 1328.74 | 2022-04-07 18:04:56.205 [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86778, top1: 0.00082, throughput: 1328.57 | 2022-04-07 18:04:56.209 [rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86780, top1: 0.00119, throughput: 1328.74 | 2022-04-07 18:04:56.208 [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86785, top1: 0.00096, throughput: 1328.61 | 2022-04-07 18:04:56.210 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86791, top1: 0.00121, throughput: 1300.42 | 2022-04-07 18:05:35.581 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86795, top1: 0.00076, throughput: 1300.26 | 2022-04-07 18:05:35.582 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86798, top1: 0.00086, throughput: 1300.23 | 2022-04-07 18:05:35.582 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86793, top1: 0.00076, throughput: 1300.42 | 2022-04-07 18:05:35.582 [rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86790, top1: 0.00102, throughput: 1300.21 | 2022-04-07 18:05:35.585 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86803, top1: 0.00098, throughput: 1300.24 | 2022-04-07 18:05:35.581 [rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86781, top1: 0.00105, throughput: 1300.14 | 2022-04-07 18:05:35.585 [rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86801, top1: 0.00098, throughput: 1300.27 | 2022-04-07 18:05:35.584