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.1loaded 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 W20220522 18:42:34.140409 405 rpc_client.cpp:190] LoadServer 10.7.18.169 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220522 18:42:34.141184 409 rpc_client.cpp:190] LoadServer 10.7.18.169 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220522 18:42:34.140420 404 rpc_client.cpp:190] LoadServer 10.7.18.169 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220522 18:42:34.141173 403 rpc_client.cpp:190] LoadServer 10.7.18.169 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: 3.05533 s ***** [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86741, top1: 0.00100, throughput: 420.04 | 2022-05-22 18:44:51.322 [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86761, top1: 0.00119, throughput: 420.04 | 2022-05-22 18:44:51.322 [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86770, top1: 0.00090, throughput: 420.04 | 2022-05-22 18:44:51.323 [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86758, top1: 0.00088, throughput: 420.03 | 2022-05-22 18:44:51.325 [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86749, top1: 0.00117, throughput: 420.04 | 2022-05-22 18:44:51.323 [rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86748, top1: 0.00084, throughput: 420.04 | 2022-05-22 18:44:51.323 [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86764, top1: 0.00088, throughput: 420.04 | 2022-05-22 18:44:51.325 [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86755, top1: 0.00078, throughput: 419.89 | 2022-05-22 18:44:51.364 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/22 18:44:51.546, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7787 MiB, 24723 MiB 2022/05/22 18:44:51.555, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 43 %, 32510 MiB, 7750 MiB, 24760 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] 2022/05/22 18:44:51.558, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 76 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/05/22 18:44:51.562, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7787 MiB, 24723 MiB 2022/05/22 18:44:51.563, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7787 MiB, 24723 MiB 2022/05/22 18:44:51.565, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 42 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/05/22 18:44:51.571, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 43 %, 32510 MiB, 7750 MiB, 24760 MiB 2022/05/22 18:44:51.572, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 43 %, 32510 MiB, 7750 MiB, 24760 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/22 18:44:51.573, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7922 MiB, 24588 MiB 2022/05/22 18:44:51.579, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 76 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/05/22 18:44:51.584, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 76 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/05/22 18:44:51.584, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 7766 MiB, 24744 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/22 18:44:51.584, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7787 MiB, 24723 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] 2022/05/22 18:44:51.588, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 42 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/05/22 18:44:51.589, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 42 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/05/22 18:44:51.590, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7632 MiB, 24878 MiB 2022/05/22 18:44:51.590, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 43 %, 32510 MiB, 7750 MiB, 24760 MiB 2022/05/22 18:44:51.590, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7787 MiB, 24723 MiB 2022/05/22 18:44:51.591, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7787 MiB, 24723 MiB 2022/05/22 18:44:51.592, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7787 MiB, 24723 MiB 2022/05/22 18:44:51.595, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7922 MiB, 24588 MiB 2022/05/22 18:44:51.596, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7922 MiB, 24588 MiB 2022/05/22 18:44:51.597, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 7832 MiB, 24678 MiB 2022/05/22 18:44:51.598, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 76 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/05/22 18:44:51.598, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 80 %, 32510 MiB, 7750 MiB, 24760 MiB 2022/05/22 18:44:51.599, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 80 %, 32510 MiB, 7750 MiB, 24760 MiB 2022/05/22 18:44:51.600, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 80 %, 32510 MiB, 7750 MiB, 24760 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/22 18:44:51.603, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 7766 MiB, 24744 MiB 2022/05/22 18:44:51.604, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 7766 MiB, 24744 MiB 2022/05/22 18:44:51.605, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 80 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/05/22 18:44:51.606, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 76 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/05/22 18:44:51.607, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 76 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/05/22 18:44:51.607, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 76 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/05/22 18:44:51.609, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 52 %, 32510 MiB, 7787 MiB, 24723 MiB 2022/05/22 18:44:51.609, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7632 MiB, 24878 MiB 2022/05/22 18:44:51.611, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 63 %, 32510 MiB, 7632 MiB, 24878 MiB 2022/05/22 18:44:51.612, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7922 MiB, 24588 MiB 2022/05/22 18:44:51.613, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 80 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/05/22 18:44:51.614, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 80 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/05/22 18:44:51.615, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 80 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/05/22 18:44:51.617, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 80 %, 32510 MiB, 7750 MiB, 24760 MiB 2022/05/22 18:44:51.617, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 7832 MiB, 24678 MiB 2022/05/22 18:44:51.618, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 7832 MiB, 24678 MiB 2022/05/22 18:44:51.620, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 47 %, 32510 MiB, 7766 MiB, 24744 MiB 2022/05/22 18:44:51.620, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7922 MiB, 24588 MiB 2022/05/22 18:44:51.625, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7922 MiB, 24588 MiB 2022/05/22 18:44:51.626, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7922 MiB, 24588 MiB 2022/05/22 18:44:51.628, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 76 %, 32510 MiB, 7934 MiB, 24576 MiB 2022/05/22 18:44:51.632, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 72 %, 32510 MiB, 7632 MiB, 24878 MiB 2022/05/22 18:44:51.632, Tesla V100-SXM2-32GB, 470.57.02, 75 %, 68 %, 32510 MiB, 7766 MiB, 24744 MiB 2022/05/22 18:44:51.633, Tesla V100-SXM2-32GB, 470.57.02, 75 %, 68 %, 32510 MiB, 7766 MiB, 24744 MiB 2022/05/22 18:44:51.634, Tesla V100-SXM2-32GB, 470.57.02, 75 %, 68 %, 32510 MiB, 7766 MiB, 24744 MiB 2022/05/22 18:44:51.636, Tesla V100-SXM2-32GB, 470.57.02, 87 %, 80 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/05/22 18:44:51.643, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 7832 MiB, 24678 MiB 2022/05/22 18:44:51.643, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 72 %, 32510 MiB, 7632 MiB, 24878 MiB 2022/05/22 18:44:51.644, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 72 %, 32510 MiB, 7632 MiB, 24878 MiB 2022/05/22 18:44:51.645, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 72 %, 32510 MiB, 7632 MiB, 24878 MiB 2022/05/22 18:44:51.647, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 89 %, 32510 MiB, 7922 MiB, 24588 MiB 2022/05/22 18:44:51.650, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 7832 MiB, 24678 MiB 2022/05/22 18:44:51.651, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 7832 MiB, 24678 MiB 2022/05/22 18:44:51.652, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 7832 MiB, 24678 MiB 2022/05/22 18:44:51.653, Tesla V100-SXM2-32GB, 470.57.02, 75 %, 68 %, 32510 MiB, 7766 MiB, 24744 MiB 2022/05/22 18:44:51.666, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 72 %, 32510 MiB, 7632 MiB, 24878 MiB 2022/05/22 18:44:51.672, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 69 %, 32510 MiB, 7832 MiB, 24678 MiB [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86751, top1: 0.00098, throughput: 1341.00 | 2022-05-22 18:45:29.502 [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86761, top1: 0.00086, throughput: 1341.04 | 2022-05-22 18:45:29.502 [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86752, top1: 0.00113, throughput: 1341.04 | 2022-05-22 18:45:29.502 [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86746, top1: 0.00094, throughput: 1341.02 | 2022-05-22 18:45:29.502 [rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86741, top1: 0.00098, throughput: 1342.49 | 2022-05-22 18:45:29.502 [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86765, top1: 0.00086, throughput: 1341.00 | 2022-05-22 18:45:29.503 [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86743, top1: 0.00098, throughput: 1340.97 | 2022-05-22 18:45:29.506 [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86755, top1: 0.00102, throughput: 1340.98 | 2022-05-22 18:45:29.506 [rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86740, top1: 0.00096, throughput: 1344.86 | 2022-05-22 18:46:07.572 [rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86750, top1: 0.00096, throughput: 1344.87 | 2022-05-22 18:46:07.573 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86753, top1: 0.00109, throughput: 1344.85 | 2022-05-22 18:46:07.575 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86762, top1: 0.00082, throughput: 1344.83 | 2022-05-22 18:46:07.574 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86737, top1: 0.00115, throughput: 1344.83 | 2022-05-22 18:46:07.574 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86774, top1: 0.00105, throughput: 1344.84 | 2022-05-22 18:46:07.574 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86759, top1: 0.00082, throughput: 1344.82 | 2022-05-22 18:46:07.578 [rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86765, top1: 0.00094, throughput: 1344.77 | 2022-05-22 18:46:07.579