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: 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/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 W20220430 02:43:09.175911 6902 rpc_client.cpp:190] LoadServer 10.7.49.80 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220430 02:43:09.176903 6899 rpc_client.cpp:190] LoadServer 10.7.49.80 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220430 02:43:09.177088 6903 rpc_client.cpp:190] LoadServer 10.7.49.80 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: 2.86217 s ***** [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86772, lr: 0.000000, top1: 0.00105, throughput: 278.13 | 2022-04-30 02:44:56.488 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86810, lr: 0.000000, top1: 0.00039, throughput: 277.90 | 2022-04-30 02:44:56.501 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86792, lr: 0.000000, top1: 0.00109, throughput: 278.10 | 2022-04-30 02:44:56.506 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86799, lr: 0.000000, top1: 0.00117, throughput: 277.88 | 2022-04-30 02:44:56.535 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86766, lr: 0.000000, top1: 0.00059, throughput: 277.79 | 2022-04-30 02:44:56.560 [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86758, lr: 0.000000, top1: 0.00109, throughput: 277.85 | 2022-04-30 02:44:56.559 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86845, lr: 0.000000, top1: 0.00090, throughput: 277.88 | 2022-04-30 02:44:56.562 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86758, lr: 0.000000, top1: 0.00105, throughput: 277.96 | 2022-04-30 02:44:56.573 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/30 02:44:56.668, Tesla V100-SXM2-32GB, 470.57.02, 35 %, 19 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/04/30 02:44:56.673, Tesla V100-SXM2-32GB, 470.57.02, 43 %, 0 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/04/30 02:44:56.676, Tesla V100-SXM2-32GB, 470.57.02, 32 %, 19 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/04/30 02:44:56.680, Tesla V100-SXM2-32GB, 470.57.02, 5 %, 0 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/04/30 02:44:56.686, Tesla V100-SXM2-32GB, 470.57.02, 17 %, 12 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/04/30 02:44:56.691, Tesla V100-SXM2-32GB, 470.57.02, 55 %, 21 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/04/30 02:44:56.695, Tesla V100-SXM2-32GB, 470.57.02, 39 %, 26 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/04/30 02:44:56.699, Tesla V100-SXM2-32GB, 470.57.02, 67 %, 13 %, 32510 MiB, 5130 MiB, 27380 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] 2022/04/30 02:44:56.720, Tesla V100-SXM2-32GB, 470.57.02, 58 %, 37 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/04/30 02:44:56.721, Tesla V100-SXM2-32GB, 470.57.02, 58 %, 37 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/04/30 02:44:56.735, Tesla V100-SXM2-32GB, 470.57.02, 43 %, 0 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/04/30 02:44:56.736, Tesla V100-SXM2-32GB, 470.57.02, 43 %, 0 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/04/30 02:44:56.739, Tesla V100-SXM2-32GB, 470.57.02, 32 %, 19 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/04/30 02:44:56.740, Tesla V100-SXM2-32GB, 470.57.02, 32 %, 19 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/04/30 02:44:56.743, Tesla V100-SXM2-32GB, 470.57.02, 5 %, 0 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/04/30 02:44:56.745, Tesla V100-SXM2-32GB, 470.57.02, 5 %, 0 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/04/30 02:44:56.755, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 55 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/04/30 02:44:56.756, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 55 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/04/30 02:44:56.762, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 74 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/04/30 02:44:56.764, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 74 %, 32510 MiB, 5106 MiB, 27404 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/30 02:44:56.767, Tesla V100-SXM2-32GB, 470.57.02, 39 %, 26 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/04/30 02:44:56.768, Tesla V100-SXM2-32GB, 470.57.02, 39 %, 26 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/04/30 02:44:56.775, Tesla V100-SXM2-32GB, 470.57.02, 58 %, 37 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/04/30 02:44:56.777, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 5130 MiB, 27380 MiB 2022/04/30 02:44:56.785, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 5130 MiB, 27380 MiB 2022/04/30 02:44:56.797, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 89 %, 32510 MiB, 5114 MiB, 27396 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] 2022/04/30 02:44:56.846, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5190 MiB, 27320 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/30 02:44:56.902, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 85 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/04/30 02:44:56.901, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 79 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/04/30 02:44:56.902, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 79 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/04/30 02:44:56.902, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 79 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/04/30 02:44:56.931, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 73 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/04/30 02:44:56.932, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/04/30 02:44:56.934, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/04/30 02:44:56.936, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/04/30 02:44:56.951, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/04/30 02:44:56.956, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/04/30 02:44:56.956, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/04/30 02:44:56.957, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 86 %, 32510 MiB, 5190 MiB, 27320 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/30 02:44:56.971, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 84 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/04/30 02:44:56.971, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 85 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/04/30 02:44:56.971, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 85 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/04/30 02:44:56.972, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 85 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/04/30 02:44:56.976, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 79 %, 32510 MiB, 5094 MiB, 27416 MiB 2022/04/30 02:44:56.980, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 48 %, 32510 MiB, 5130 MiB, 27380 MiB 2022/04/30 02:44:56.980, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 73 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/04/30 02:44:56.980, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 73 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/04/30 02:44:56.981, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 73 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/04/30 02:44:56.983, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 88 %, 32510 MiB, 5114 MiB, 27396 MiB 2022/04/30 02:44:56.989, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/04/30 02:44:56.989, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/04/30 02:44:56.989, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/04/30 02:44:56.996, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 48 %, 32510 MiB, 5190 MiB, 27320 MiB 2022/04/30 02:44:57.013, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/04/30 02:44:57.014, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/04/30 02:44:57.014, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/04/30 02:44:57.016, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 5166 MiB, 27344 MiB 2022/04/30 02:44:57.020, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 48 %, 32510 MiB, 5130 MiB, 27380 MiB 2022/04/30 02:44:57.020, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 48 %, 32510 MiB, 5130 MiB, 27380 MiB 2022/04/30 02:44:57.022, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 48 %, 32510 MiB, 5130 MiB, 27380 MiB 2022/04/30 02:44:57.025, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 73 %, 32510 MiB, 5174 MiB, 27336 MiB 2022/04/30 02:44:57.030, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 63 %, 32510 MiB, 5106 MiB, 27404 MiB 2022/04/30 02:44:57.038, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 5050 MiB, 27460 MiB 2022/04/30 02:44:57.042, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 48 %, 32510 MiB, 5130 MiB, 27380 MiB [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86794, lr: 0.000000, top1: 0.00121, throughput: 295.10 | 2022-04-30 02:46:23.285 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86812, lr: 0.000000, top1: 0.00113, throughput: 295.00 | 2022-04-30 02:46:23.287 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86786, lr: 0.000000, top1: 0.00141, throughput: 295.22 | 2022-04-30 02:46:23.289 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86800, lr: 0.000000, top1: 0.00113, throughput: 295.13 | 2022-04-30 02:46:23.300 [rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86795, lr: 0.000000, top1: 0.00125, throughput: 295.00 | 2022-04-30 02:46:23.338 [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86807, lr: 0.000000, top1: 0.00102, throughput: 294.96 | 2022-04-30 02:46:23.355 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86795, lr: 0.000000, top1: 0.00090, throughput: 294.96 | 2022-04-30 02:46:23.280 [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86783, lr: 0.000000, top1: 0.00105, throughput: 295.00 | 2022-04-30 02:46:23.280 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86805, lr: 0.000000, top1: 0.00086, throughput: 296.35 | 2022-04-30 02:47:49.723 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86820, lr: 0.000000, top1: 0.00066, throughput: 296.14 | 2022-04-30 02:47:49.732 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86794, lr: 0.000000, top1: 0.00121, throughput: 296.12 | 2022-04-30 02:47:49.732 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86790, lr: 0.000000, top1: 0.00066, throughput: 296.08 | 2022-04-30 02:47:49.764 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86814, lr: 0.000000, top1: 0.00121, throughput: 296.26 | 2022-04-30 02:47:49.767 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86819, lr: 0.000000, top1: 0.00109, throughput: 295.96 | 2022-04-30 02:47:49.780 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86769, lr: 0.000000, top1: 0.00086, throughput: 296.24 | 2022-04-30 02:47:49.705 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86828, lr: 0.000000, top1: 0.00090, throughput: 295.88 | 2022-04-30 02:47:49.810