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: /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: 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 W20220512 02:04:58.332686 2038 rpc_client.cpp:190] LoadServer 10.7.58.255 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220512 02:04:58.332650 2039 rpc_client.cpp:190] LoadServer 10.7.58.255 Failed at 0 times error_code 14 error_message failed to connect to all addresses ------------------------ arguments ------------------------ batches_per_epoch ............................... 625 channel_last .................................... False 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 ................................... 2.048 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 ................................ 256 train_global_batch_size ......................... 2048 use_fp16 ........................................ False 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: 3.02911 s ***** [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86714, top1: 0.00074, throughput: 263.67 | 2022-05-12 02:06:50.980 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86727, top1: 0.00086, throughput: 263.66 | 2022-05-12 02:06:50.986 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86728, top1: 0.00113, throughput: 263.67 | 2022-05-12 02:06:50.986 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86703, top1: 0.00078, throughput: 263.65 | 2022-05-12 02:06:50.988 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86717, top1: 0.00121, throughput: 263.67 | 2022-05-12 02:06:50.986 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86709, top1: 0.00094, throughput: 263.65 | 2022-05-12 02:06:50.989 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86729, top1: 0.00086, throughput: 263.67 | 2022-05-12 02:06:50.987 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86703, top1: 0.00082, throughput: 263.68 | 2022-05-12 02:06:50.986 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] 2022/05/12 02:06:51.260, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7821 MiB, 24689 MiB 2022/05/12 02:06:51.262, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7821 MiB, 24689 MiB 2022/05/12 02:06:51.268, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7732 MiB, 24778 MiB 2022/05/12 02:06:51.268, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7821 MiB, 24689 MiB 2022/05/12 02:06:51.269, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 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] 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] 2022/05/12 02:06:51.271, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7908 MiB, 24602 MiB 2022/05/12 02:06:51.272, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7732 MiB, 24778 MiB 2022/05/12 02:06:51.278, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7908 MiB, 24602 MiB 2022/05/12 02:06:51.278, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7821 MiB, 24689 MiB 2022/05/12 02:06:51.278, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7821 MiB, 24689 MiB 2022/05/12 02:06:51.278, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7821 MiB, 24689 MiB 2022/05/12 02:06:51.278, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7821 MiB, 24689 MiB 2022/05/12 02:06:51.278, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7821 MiB, 24689 MiB 2022/05/12 02:06:51.283, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7930 MiB, 24580 MiB 2022/05/12 02:06:51.284, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7908 MiB, 24602 MiB 2022/05/12 02:06:51.285, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7930 MiB, 24580 MiB 2022/05/12 02:06:51.286, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7732 MiB, 24778 MiB 2022/05/12 02:06:51.287, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7732 MiB, 24778 MiB 2022/05/12 02:06:51.287, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7732 MiB, 24778 MiB 2022/05/12 02:06:51.287, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7732 MiB, 24778 MiB 2022/05/12 02:06:51.287, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 60 %, 32510 MiB, 7732 MiB, 24778 MiB 2022/05/12 02:06:51.293, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7870 MiB, 24640 MiB 2022/05/12 02:06:51.294, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7930 MiB, 24580 MiB 2022/05/12 02:06:51.295, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7870 MiB, 24640 MiB 2022/05/12 02:06:51.296, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7908 MiB, 24602 MiB 2022/05/12 02:06:51.296, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7908 MiB, 24602 MiB 2022/05/12 02:06:51.296, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7908 MiB, 24602 MiB 2022/05/12 02:06:51.297, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7908 MiB, 24602 MiB 2022/05/12 02:06:51.297, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 7908 MiB, 24602 MiB 2022/05/12 02:06:51.301, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7758 MiB, 24752 MiB 2022/05/12 02:06:51.302, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7870 MiB, 24640 MiB 2022/05/12 02:06:51.308, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7758 MiB, 24752 MiB 2022/05/12 02:06:51.310, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7930 MiB, 24580 MiB 2022/05/12 02:06:51.310, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7930 MiB, 24580 MiB 2022/05/12 02:06:51.310, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7930 MiB, 24580 MiB 2022/05/12 02:06:51.310, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7930 MiB, 24580 MiB 2022/05/12 02:06:51.310, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7930 MiB, 24580 MiB 2022/05/12 02:06:51.316, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7606 MiB, 24904 MiB 2022/05/12 02:06:51.316, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7758 MiB, 24752 MiB 2022/05/12 02:06:51.318, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7606 MiB, 24904 MiB 2022/05/12 02:06:51.319, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7870 MiB, 24640 MiB 2022/05/12 02:06:51.319, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7870 MiB, 24640 MiB 2022/05/12 02:06:51.320, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7870 MiB, 24640 MiB 2022/05/12 02:06:51.320, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7870 MiB, 24640 MiB 2022/05/12 02:06:51.320, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7870 MiB, 24640 MiB 2022/05/12 02:06:51.325, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7796 MiB, 24714 MiB 2022/05/12 02:06:51.325, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7606 MiB, 24904 MiB 2022/05/12 02:06:51.327, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7796 MiB, 24714 MiB 2022/05/12 02:06:51.328, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7758 MiB, 24752 MiB 2022/05/12 02:06:51.328, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7758 MiB, 24752 MiB 2022/05/12 02:06:51.328, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7758 MiB, 24752 MiB 2022/05/12 02:06:51.328, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7758 MiB, 24752 MiB 2022/05/12 02:06:51.329, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7758 MiB, 24752 MiB 2022/05/12 02:06:51.345, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7796 MiB, 24714 MiB 2022/05/12 02:06:51.347, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7606 MiB, 24904 MiB 2022/05/12 02:06:51.347, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7606 MiB, 24904 MiB 2022/05/12 02:06:51.348, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7606 MiB, 24904 MiB 2022/05/12 02:06:51.348, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7606 MiB, 24904 MiB 2022/05/12 02:06:51.348, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7606 MiB, 24904 MiB 2022/05/12 02:06:51.357, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7796 MiB, 24714 MiB 2022/05/12 02:06:51.357, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7796 MiB, 24714 MiB 2022/05/12 02:06:51.357, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7796 MiB, 24714 MiB 2022/05/12 02:06:51.358, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7796 MiB, 24714 MiB 2022/05/12 02:06:51.358, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 57 %, 32510 MiB, 7796 MiB, 24714 MiB [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86713, top1: 0.00105, throughput: 373.44 | 2022-05-12 02:07:59.539 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86724, top1: 0.00098, throughput: 373.45 | 2022-05-12 02:07:59.539 [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86715, top1: 0.00109, throughput: 373.45 | 2022-05-12 02:07:59.538 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86720, top1: 0.00070, throughput: 373.44 | 2022-05-12 02:07:59.537 [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86730, top1: 0.00102, throughput: 373.44 | 2022-05-12 02:07:59.539 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86696, top1: 0.00090, throughput: 373.44 | 2022-05-12 02:07:59.538 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86746, top1: 0.00094, throughput: 373.40 | 2022-05-12 02:07:59.540 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86732, top1: 0.00051, throughput: 373.44 | 2022-05-12 02:07:59.539 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86709, top1: 0.00113, throughput: 376.54 | 2022-05-12 02:09:07.525 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86759, top1: 0.00047, throughput: 376.54 | 2022-05-12 02:09:07.525 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86715, top1: 0.00109, throughput: 376.55 | 2022-05-12 02:09:07.524 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86728, top1: 0.00090, throughput: 376.54 | 2022-05-12 02:09:07.525 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86720, top1: 0.00109, throughput: 376.54 | 2022-05-12 02:09:07.525 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86700, top1: 0.00121, throughput: 376.54 | 2022-05-12 02:09:07.526 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86728, top1: 0.00098, throughput: 376.54 | 2022-05-12 02:09:07.527 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86729, top1: 0.00105, throughput: 376.53 | 2022-05-12 02:09:07.527