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: /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 loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 W20220508 02:00:32.642107 2039 rpc_client.cpp:190] LoadServer 10.7.72.73 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220508 02:00:32.641177 2038 rpc_client.cpp:190] LoadServer 10.7.72.73 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220508 02:00:32.642868 2040 rpc_client.cpp:190] LoadServer 10.7.72.73 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: 3.02050 s ***** [rank:2] [train], epoch: 0/1, iter: 100/625, loss: 0.86746, top1: 0.00078, throughput: 264.65 | 2022-05-08 02:02:24.609 [rank:0] [train], epoch: 0/1, iter: 100/625, loss: 0.86770, top1: 0.00113, throughput: 264.65 | 2022-05-08 02:02:24.608 [rank:3] [train], epoch: 0/1, iter: 100/625, loss: 0.86751, top1: 0.00102, throughput: 264.65 | 2022-05-08 02:02:24.609 [rank:4] [train], epoch: 0/1, iter: 100/625, loss: 0.86757, top1: 0.00086, throughput: 264.64 | 2022-05-08 02:02:24.611 [rank:7] [train], epoch: 0/1, iter: 100/625, loss: 0.86745, top1: 0.00117, throughput: 264.66 | 2022-05-08 02:02:24.609 [rank:6] [train], epoch: 0/1, iter: 100/625, loss: 0.86724, top1: 0.00090, throughput: 264.64 | 2022-05-08 02:02:24.609 [rank:1] [train], epoch: 0/1, iter: 100/625, loss: 0.86742, top1: 0.00086, throughput: 264.65 | 2022-05-08 02:02:24.609 [rank:5] [train], epoch: 0/1, iter: 100/625, loss: 0.86743, top1: 0.00117, throughput: 264.66 | 2022-05-08 02:02:24.609 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] 2022/05/08 02:02:24.888, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7779 MiB, 24731 MiB 2022/05/08 02:02:24.888, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7779 MiB, 24731 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/08 02:02:24.890, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7779 MiB, 24731 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/08 02:02:24.891, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7779 MiB, 24731 MiB 2022/05/08 02:02:24.895, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7736 MiB, 24774 MiB 2022/05/08 02:02:24.895, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7736 MiB, 24774 MiB 2022/05/08 02:02:24.897, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7736 MiB, 24774 MiB 2022/05/08 02:02:24.897, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7779 MiB, 24731 MiB 2022/05/08 02:02:24.897, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7779 MiB, 24731 MiB 2022/05/08 02:02:24.898, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7736 MiB, 24774 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] 2022/05/08 02:02:24.902, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7954 MiB, 24556 MiB 2022/05/08 02:02:24.902, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7954 MiB, 24556 MiB 2022/05/08 02:02:24.908, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7954 MiB, 24556 MiB 2022/05/08 02:02:24.909, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7736 MiB, 24774 MiB 2022/05/08 02:02:24.913, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7736 MiB, 24774 MiB 2022/05/08 02:02:24.913, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7954 MiB, 24556 MiB 2022/05/08 02:02:24.913, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7779 MiB, 24731 MiB 2022/05/08 02:02:24.913, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 58 %, 32510 MiB, 7779 MiB, 24731 MiB 2022/05/08 02:02:24.917, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7888 MiB, 24622 MiB 2022/05/08 02:02:24.918, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7888 MiB, 24622 MiB 2022/05/08 02:02:24.920, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7888 MiB, 24622 MiB 2022/05/08 02:02:24.921, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7954 MiB, 24556 MiB 2022/05/08 02:02:24.922, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7954 MiB, 24556 MiB 2022/05/08 02:02:24.922, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7888 MiB, 24622 MiB 2022/05/08 02:02:24.923, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7736 MiB, 24774 MiB 2022/05/08 02:02:24.923, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 59 %, 32510 MiB, 7736 MiB, 24774 MiB 2022/05/08 02:02:24.926, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7874 MiB, 24636 MiB 2022/05/08 02:02:24.927, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7874 MiB, 24636 MiB 2022/05/08 02:02:24.929, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7874 MiB, 24636 MiB 2022/05/08 02:02:24.930, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7888 MiB, 24622 MiB 2022/05/08 02:02:24.931, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7888 MiB, 24622 MiB 2022/05/08 02:02:24.931, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7874 MiB, 24636 MiB 2022/05/08 02:02:24.932, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7954 MiB, 24556 MiB 2022/05/08 02:02:24.933, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7954 MiB, 24556 MiB 2022/05/08 02:02:24.936, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7756 MiB, 24754 MiB 2022/05/08 02:02:24.936, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7756 MiB, 24754 MiB 2022/05/08 02:02:24.939, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7756 MiB, 24754 MiB 2022/05/08 02:02:24.939, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7874 MiB, 24636 MiB 2022/05/08 02:02:24.940, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7874 MiB, 24636 MiB 2022/05/08 02:02:24.941, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7756 MiB, 24754 MiB 2022/05/08 02:02:24.942, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7888 MiB, 24622 MiB 2022/05/08 02:02:24.942, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7888 MiB, 24622 MiB 2022/05/08 02:02:24.945, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7612 MiB, 24898 MiB 2022/05/08 02:02:24.946, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7612 MiB, 24898 MiB 2022/05/08 02:02:24.948, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7612 MiB, 24898 MiB 2022/05/08 02:02:24.949, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7756 MiB, 24754 MiB 2022/05/08 02:02:24.950, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7756 MiB, 24754 MiB 2022/05/08 02:02:24.950, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7612 MiB, 24898 MiB 2022/05/08 02:02:24.951, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7874 MiB, 24636 MiB 2022/05/08 02:02:24.952, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7874 MiB, 24636 MiB 2022/05/08 02:02:24.955, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7796 MiB, 24714 MiB 2022/05/08 02:02:24.955, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7796 MiB, 24714 MiB 2022/05/08 02:02:24.958, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7796 MiB, 24714 MiB 2022/05/08 02:02:24.959, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7612 MiB, 24898 MiB 2022/05/08 02:02:24.959, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7612 MiB, 24898 MiB 2022/05/08 02:02:24.960, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7796 MiB, 24714 MiB 2022/05/08 02:02:24.961, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7756 MiB, 24754 MiB 2022/05/08 02:02:24.961, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7756 MiB, 24754 MiB 2022/05/08 02:02:24.968, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7796 MiB, 24714 MiB 2022/05/08 02:02:24.969, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7796 MiB, 24714 MiB 2022/05/08 02:02:24.971, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7612 MiB, 24898 MiB 2022/05/08 02:02:24.971, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 60 %, 32510 MiB, 7612 MiB, 24898 MiB 2022/05/08 02:02:24.979, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7796 MiB, 24714 MiB 2022/05/08 02:02:24.979, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7796 MiB, 24714 MiB [rank:5] [train], epoch: 0/1, iter: 200/625, loss: 0.86743, top1: 0.00094, throughput: 374.02 | 2022-05-08 02:03:33.054 [rank:0] [train], epoch: 0/1, iter: 200/625, loss: 0.86725, top1: 0.00094, throughput: 374.02 | 2022-05-08 02:03:33.054 [rank:1] [train], epoch: 0/1, iter: 200/625, loss: 0.86716, top1: 0.00098, throughput: 374.02[rank:2] [train], epoch: 0/1, iter: 200/625, loss: 0.86723, top1: 0.00121, throughput: 374.02 | 2022-05-08 02:03:33.054 | 2022-05-08 02:03:33.054 [rank:6] [train], epoch: 0/1, iter: 200/625, loss: 0.86786, top1: 0.00102, throughput: 374.02 | 2022-05-08 02:03:33.054 [rank:3] [train], epoch: 0/1, iter: 200/625, loss: 0.86786, top1: 0.00121, throughput: 374.02 | 2022-05-08 02:03:33.054 [rank:4] [train], epoch: 0/1, iter: 200/625, loss: 0.86740, top1: 0.00121, throughput: 374.02 | 2022-05-08 02:03:33.056 [rank:7] [train], epoch: 0/1, iter: 200/625, loss: 0.86715, top1: 0.00129, throughput: 374.02 | 2022-05-08 02:03:33.054 [rank:0] [train], epoch: 0/1, iter: 300/625, loss: 0.86763, top1: 0.00082, throughput: 374.93 | 2022-05-08 02:04:41.333 [rank:2] [train], epoch: 0/1, iter: 300/625, loss: 0.86762, top1: 0.00090, throughput: 374.93 | 2022-05-08 02:04:41.334 [rank:1] [train], epoch: 0/1, iter: 300/625, loss: 0.86735, top1: 0.00074, throughput: 374.92 | 2022-05-08 02:04:41.335 [rank:6] [train], epoch: 0/1, iter: 300/625, loss: 0.86750, top1: 0.00066, throughput: 374.93 | 2022-05-08 02:04:41.334 [rank:3] [train], epoch: 0/1, iter: 300/625, loss: 0.86764, top1: 0.00074, throughput: 374.92 | 2022-05-08 02:04:41.335 [rank:4] [train], epoch: 0/1, iter: 300/625, loss: 0.86734, top1: 0.00121, throughput: 374.92 | 2022-05-08 02:04:41.337 [rank:7] [train], epoch: 0/1, iter: 300/625, loss: 0.86754, top1: 0.00113, throughput: 374.92 | 2022-05-08 02:04:41.335 [rank:5] [train], epoch: 0/1, iter: 300/625, loss: 0.86746, top1: 0.00090, throughput: 374.92 | 2022-05-08 02:04:41.335