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: loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1/usr/lib/x86_64-linux-gnu/libibverbs.so.1 W20220510 02:15:46.349452 6899 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 02:15:46.348059 6898 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 02:15:46.349576 6897 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 02:15:46.349202 6896 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 ............................... 625 channel_last .................................... False ddp ............................................. True exit_num ........................................ 300 fuse_bn_add_relu ................................ False fuse_bn_relu .................................... False gpu_stat_file ................................... None grad_clipping ................................... 0.0 graph ........................................... False 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 ...................................... False skip_eval ....................................... True synthetic_data .................................. False total_batches ................................... -1 train_batch_size ................................ 256 train_global_batch_size ......................... 2048 use_fp16 ........................................ False 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: 2.79382 s ***** [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86753, lr: 0.000000, top1: 0.00141, throughput: 276.78 | 2022-05-10 02:17:33.957 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86767, lr: 0.000000, top1: 0.00109, throughput: 276.81 | 2022-05-10 02:17:33.957 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86759, lr: 0.000000, top1: 0.00082, throughput: 276.93[rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86763, lr: 0.000000, top1: 0.00121, throughput: 276.76 | 2022-05-10 02:17:33.963 | 2022-05-10 02:17:33.961 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86750, lr: 0.000000, top1: 0.00082, throughput: 276.83 | 2022-05-10 02:17:33.983 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86747, lr: 0.000000, top1: 0.00066, throughput: 276.75 | 2022-05-10 02:17:34.008 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86763, lr: 0.000000, top1: 0.00078, throughput: 276.64 | 2022-05-10 02:17:34.021 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86746, lr: 0.000000, top1: 0.00102, throughput: 276.38 | 2022-05-10 02:17:34.047 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/10 02:17:34.156, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 22 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/10 02:17:34.162, Tesla V100-SXM2-32GB, 470.57.02, 60 %, 0 %, 32510 MiB, 5114 MiB, 27396 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/10 02:17:34.166, Tesla V100-SXM2-32GB, 470.57.02, 4 %, 1 %, 32510 MiB, 5190 MiB, 27320 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 02:17:34.169, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 22 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/10 02:17:34.171, Tesla V100-SXM2-32GB, 470.57.02, 86 %, 34 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/10 02:17:34.171, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 22 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/10 02:17:34.172, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 22 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/10 02:17:34.176, Tesla V100-SXM2-32GB, 470.57.02, 60 %, 0 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/10 02:17:34.177, Tesla V100-SXM2-32GB, 470.57.02, 60 %, 35 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/05/10 02:17:34.178, Tesla V100-SXM2-32GB, 470.57.02, 60 %, 0 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/10 02:17:34.179, Tesla V100-SXM2-32GB, 470.57.02, 60 %, 0 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/10 02:17:34.183, Tesla V100-SXM2-32GB, 470.57.02, 4 %, 1 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/05/10 02:17:34.185, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 55 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/10 02:17:34.186, Tesla V100-SXM2-32GB, 470.57.02, 4 %, 1 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/05/10 02:17:34.187, Tesla V100-SXM2-32GB, 470.57.02, 4 %, 1 %, 32510 MiB, 5190 MiB, 27320 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/10 02:17:34.190, Tesla V100-SXM2-32GB, 470.57.02, 86 %, 34 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/10 02:17:34.192, Tesla V100-SXM2-32GB, 470.57.02, 50 %, 3 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/05/10 02:17:34.192, Tesla V100-SXM2-32GB, 470.57.02, 86 %, 34 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/10 02:17:34.193, Tesla V100-SXM2-32GB, 470.57.02, 86 %, 34 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/10 02:17:34.195, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 74 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/10 02:17:34.197, Tesla V100-SXM2-32GB, 470.57.02, 60 %, 35 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/05/10 02:17:34.198, Tesla V100-SXM2-32GB, 470.57.02, 50 %, 12 %, 32510 MiB, 5130 MiB, 27380 MiB 2022/05/10 02:17:34.199, Tesla V100-SXM2-32GB, 470.57.02, 60 %, 35 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/05/10 02:17:34.200, Tesla V100-SXM2-32GB, 470.57.02, 60 %, 35 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/05/10 02:17:34.203, Tesla V100-SXM2-32GB, 470.57.02, 60 %, 0 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/10 02:17:34.204, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 55 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/10 02:17:34.206, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 55 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/10 02:17:34.207, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 55 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/10 02:17:34.211, Tesla V100-SXM2-32GB, 470.57.02, 85 %, 72 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/05/10 02:17:34.211, Tesla V100-SXM2-32GB, 470.57.02, 50 %, 3 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/05/10 02:17:34.218, Tesla V100-SXM2-32GB, 470.57.02, 50 %, 3 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/05/10 02:17:34.219, Tesla V100-SXM2-32GB, 470.57.02, 50 %, 3 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/05/10 02:17:34.231, Tesla V100-SXM2-32GB, 470.57.02, 86 %, 34 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/10 02:17:34.232, Tesla V100-SXM2-32GB, 470.57.02, 50 %, 12 %, 32510 MiB, 5130 MiB, 27380 MiB 2022/05/10 02:17:34.237, Tesla V100-SXM2-32GB, 470.57.02, 50 %, 12 %, 32510 MiB, 5130 MiB, 27380 MiB 2022/05/10 02:17:34.238, Tesla V100-SXM2-32GB, 470.57.02, 50 %, 12 %, 32510 MiB, 5130 MiB, 27380 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/10 02:17:34.241, Tesla V100-SXM2-32GB, 470.57.02, 60 %, 35 %, 32510 MiB, 5174 MiB, 27336 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/10 02:17:34.247, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/10 02:17:34.249, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 54 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/10 02:17:34.276, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/10 02:17:34.305, Tesla V100-SXM2-32GB, 470.57.02, 92 %, 80 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/10 02:17:34.306, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/05/10 02:17:34.320, Tesla V100-SXM2-32GB, 470.57.02, 92 %, 80 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/10 02:17:34.341, Tesla V100-SXM2-32GB, 470.57.02, 85 %, 70 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/05/10 02:17:34.344, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5130 MiB, 27380 MiB 2022/05/10 02:17:34.351, Tesla V100-SXM2-32GB, 470.57.02, 85 %, 70 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/05/10 02:17:34.366, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 82 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/10 02:17:34.384, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 82 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/10 02:17:34.400, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 80 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/05/10 02:17:34.405, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 80 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/05/10 02:17:34.418, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 75 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/10 02:17:34.424, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 75 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/10 02:17:34.431, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 52 %, 32510 MiB, 5050 MiB, 27460 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/10 02:17:34.436, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 52 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/05/10 02:17:34.442, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 5130 MiB, 27380 MiB 2022/05/10 02:17:34.443, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/05/10 02:17:34.444, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 5130 MiB, 27380 MiB 2022/05/10 02:17:34.457, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 61 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/05/10 02:17:34.467, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 65 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/05/10 02:17:34.472, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 45 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/05/10 02:17:34.476, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 44 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/05/10 02:17:34.484, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 75 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/05/10 02:17:34.486, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 52 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/05/10 02:17:34.488, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 50 %, 32510 MiB, 5130 MiB, 27380 MiB [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86739, lr: 0.000000, top1: 0.00113, throughput: 293.83 | 2022-05-10 02:19:01.110 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86735, lr: 0.000000, top1: 0.00105, throughput: 293.72 | 2022-05-10 02:19:01.121 [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86728, lr: 0.000000, top1: 0.00145, throughput: 293.93 | 2022-05-10 02:19:01.144 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86763, lr: 0.000000, top1: 0.00113, throughput: 293.59 | 2022-05-10 02:19:01.153 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86760, lr: 0.000000, top1: 0.00105, throughput: 293.72 | 2022-05-10 02:19:01.179 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86721, lr: 0.000000, top1: 0.00121, throughput: 293.78 | 2022-05-10 02:19:01.097 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86722, lr: 0.000000, top1: 0.00129, throughput: 293.63 | 2022-05-10 02:19:01.191 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86726, lr: 0.000000, top1: 0.00113, throughput: 293.77 | 2022-05-10 02:19:01.103 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86773, lr: 0.000000, top1: 0.00102, throughput: 296.18 | 2022-05-10 02:20:27.543 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86727, lr: 0.000000, top1: 0.00078, throughput: 296.15 | 2022-05-10 02:20:27.564 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86754, lr: 0.000000, top1: 0.00105, throughput: 296.04 | 2022-05-10 02:20:27.579 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86739, lr: 0.000000, top1: 0.00102, throughput: 296.54 | 2022-05-10 02:20:27.521 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86749, lr: 0.000000, top1: 0.00062, throughput: 296.21 | 2022-05-10 02:20:27.604 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86731, lr: 0.000000, top1: 0.00133, throughput: 296.09 | 2022-05-10 02:20:27.604 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86759, lr: 0.000000, top1: 0.00102, throughput: 296.17 | 2022-05-10 02:20:27.535 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86732, lr: 0.000000, top1: 0.00098, throughput: 295.93 | 2022-05-10 02:20:27.659