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: /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 W20220413 01:40:31.350025 404 rpc_client.cpp:190] LoadServer 10.7.50.36 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220413 01:40:31.350919 406 rpc_client.cpp:190] LoadServer 10.7.50.36 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220413 01:40:31.350914 405 rpc_client.cpp:190] LoadServer 10.7.50.36 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220413 01:40:31.350924 403 rpc_client.cpp:190] LoadServer 10.7.50.36 Failed at 0 times error_code 14 error_message failed to connect to all addresses W20220413 01:40:31.363785 407 rpc_client.cpp:190] LoadServer 10.7.50.36 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: 2.80321 s ***** [rank:5] [train], epoch: 0/1, iter: 100/312, loss: 0.86730, top1: 0.00098, throughput: 416.07 | 2022-04-13 01:42:49.555 [rank:7] [train], epoch: 0/1, iter: 100/312, loss: 0.86748, top1: 0.00094, throughput: 416.06 | 2022-04-13 01:42:49.557 [rank:0] [train], epoch: 0/1, iter: 100/312, loss: 0.86741, top1: 0.00078, throughput: 416.08 | 2022-04-13 01:42:49.557 [rank:6] [train], epoch: 0/1, iter: 100/312, loss: 0.86723, top1: 0.00113, throughput: 416.06[rank:3] [train], epoch: 0/1, iter: 100/312, loss: 0.86736, top1: 0.00123, throughput: 416.08 | 2022-04-13 01:42:49.557| 2022-04-13 01:42:49.556 [rank:2] [train], epoch: 0/1, iter: 100/312, loss: 0.86739, top1: 0.00104, throughput: 416.08 | 2022-04-13 01:42:49.556 [rank:1] [train], epoch: 0/1, iter: 100/312, loss: 0.86740, top1: 0.00084, throughput: 416.08 | 2022-04-13 01:42:49.560 [rank:4] [train], epoch: 0/1, iter: 100/312, loss: 0.86759, top1: 0.00109, throughput: 416.08 | 2022-04-13 01:42:49.559 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/13 01:42:49.762, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7849 MiB, 24661 MiB 2022/04/13 01:42:49.769, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7846 MiB, 24664 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/13 01:42:49.771, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 65 %, 32510 MiB, 8038 MiB, 24472 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] 2022/04/13 01:42:49.771, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7849 MiB, 24661 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] 2022/04/13 01:42:49.773, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 72 %, 32510 MiB, 8010 MiB, 24500 MiB 2022/04/13 01:42:49.773, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7849 MiB, 24661 MiB 2022/04/13 01:42:49.774, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7849 MiB, 24661 MiB 2022/04/13 01:42:49.774, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7849 MiB, 24661 MiB 2022/04/13 01:42:49.775, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7846 MiB, 24664 MiB 2022/04/13 01:42:49.775, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7849 MiB, 24661 MiB 2022/04/13 01:42:49.775, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7849 MiB, 24661 MiB 2022/04/13 01:42:49.776, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 61 %, 32510 MiB, 7849 MiB, 24661 MiB 2022/04/13 01:42:49.778, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8000 MiB, 24510 MiB 2022/04/13 01:42:49.780, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7846 MiB, 24664 MiB 2022/04/13 01:42:49.780, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7846 MiB, 24664 MiB 2022/04/13 01:42:49.781, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7846 MiB, 24664 MiB 2022/04/13 01:42:49.782, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 86 %, 32510 MiB, 8038 MiB, 24472 MiB 2022/04/13 01:42:49.783, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7846 MiB, 24664 MiB 2022/04/13 01:42:49.783, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7846 MiB, 24664 MiB 2022/04/13 01:42:49.784, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 73 %, 32510 MiB, 7846 MiB, 24664 MiB 2022/04/13 01:42:49.791, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7882 MiB, 24628 MiB 2022/04/13 01:42:49.792, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 86 %, 32510 MiB, 8038 MiB, 24472 MiB 2022/04/13 01:42:49.793, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 86 %, 32510 MiB, 8038 MiB, 24472 MiB 2022/04/13 01:42:49.794, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 86 %, 32510 MiB, 8038 MiB, 24472 MiB 2022/04/13 01:42:49.794, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 72 %, 32510 MiB, 8010 MiB, 24500 MiB 2022/04/13 01:42:49.795, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 86 %, 32510 MiB, 8038 MiB, 24472 MiB 2022/04/13 01:42:49.796, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 86 %, 32510 MiB, 8038 MiB, 24472 MiB 2022/04/13 01:42:49.797, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 86 %, 32510 MiB, 8038 MiB, 24472 MiB 2022/04/13 01:42:49.799, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 7738 MiB, 24772 MiB 2022/04/13 01:42:49.800, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 72 %, 32510 MiB, 8010 MiB, 24500 MiB 2022/04/13 01:42:49.801, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 72 %, 32510 MiB, 8010 MiB, 24500 MiB 2022/04/13 01:42:49.802, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 72 %, 32510 MiB, 8010 MiB, 24500 MiB 2022/04/13 01:42:49.802, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8000 MiB, 24510 MiB 2022/04/13 01:42:49.803, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 72 %, 32510 MiB, 8010 MiB, 24500 MiB 2022/04/13 01:42:49.803, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 72 %, 32510 MiB, 8010 MiB, 24500 MiB 2022/04/13 01:42:49.804, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 72 %, 32510 MiB, 8010 MiB, 24500 MiB 2022/04/13 01:42:49.806, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/04/13 01:42:49.808, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8000 MiB, 24510 MiB 2022/04/13 01:42:49.808, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8000 MiB, 24510 MiB 2022/04/13 01:42:49.810, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8000 MiB, 24510 MiB 2022/04/13 01:42:49.810, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7882 MiB, 24628 MiB 2022/04/13 01:42:49.811, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8000 MiB, 24510 MiB 2022/04/13 01:42:49.811, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8000 MiB, 24510 MiB 2022/04/13 01:42:49.812, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 62 %, 32510 MiB, 8000 MiB, 24510 MiB 2022/04/13 01:42:49.816, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7882 MiB, 24628 MiB 2022/04/13 01:42:49.816, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7882 MiB, 24628 MiB 2022/04/13 01:42:49.817, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7882 MiB, 24628 MiB 2022/04/13 01:42:49.818, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 7738 MiB, 24772 MiB 2022/04/13 01:42:49.818, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7882 MiB, 24628 MiB 2022/04/13 01:42:49.819, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7882 MiB, 24628 MiB 2022/04/13 01:42:49.820, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7882 MiB, 24628 MiB 2022/04/13 01:42:49.824, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 7738 MiB, 24772 MiB 2022/04/13 01:42:49.824, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 7738 MiB, 24772 MiB 2022/04/13 01:42:49.825, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 7738 MiB, 24772 MiB 2022/04/13 01:42:49.825, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/04/13 01:42:49.826, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 7738 MiB, 24772 MiB 2022/04/13 01:42:49.832, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 7738 MiB, 24772 MiB 2022/04/13 01:42:49.833, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 75 %, 32510 MiB, 7738 MiB, 24772 MiB 2022/04/13 01:42:49.836, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/04/13 01:42:49.837, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/04/13 01:42:49.838, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/04/13 01:42:49.839, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/04/13 01:42:49.840, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7910 MiB, 24600 MiB 2022/04/13 01:42:49.841, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 86 %, 32510 MiB, 7910 MiB, 24600 MiB [rank:1] [train], epoch: 0/1, iter: 200/312, loss: 0.86754, top1: 0.00102, throughput: 1327.12 | 2022-04-13 01:43:28.140 [rank:5] [train], epoch: 0/1, iter: 200/312, loss: 0.86725, top1: 0.00123, throughput: 1326.95 | 2022-04-13 01:43:28.140 [rank:2] [train], epoch: 0/1, iter: 200/312, loss: 0.86724, top1: 0.00104, throughput: 1326.99 | 2022-04-13 01:43:28.140 [rank:0] [train], epoch: 0/1, iter: 200/312, loss: 0.86757, top1: 0.00094, throughput: 1326.94 | 2022-04-13 01:43:28.142 [rank:3] [train], epoch: 0/1, iter: 200/312, loss: 0.86755, top1: 0.00117, throughput: 1326.99 | 2022-04-13 01:43:28.141 [rank:6] [train], epoch: 0/1, iter: 200/312, loss: 0.86748, top1: 0.00104, throughput: 1326.98 | 2022-04-13 01:43:28.140 [rank:7] [train], epoch: 0/1, iter: 200/312, loss: 0.86762, top1: 0.00100, throughput: 1326.99 | 2022-04-13 01:43:28.141 [rank:4] [train], epoch: 0/1, iter: 200/312, loss: 0.86733, top1: 0.00066, throughput: 1326.88 | 2022-04-13 01:43:28.145 [rank:2] [train], epoch: 0/1, iter: 300/312, loss: 0.86757, top1: 0.00094, throughput: 1316.69 | 2022-04-13 01:44:07.026 [rank:5] [train], epoch: 0/1, iter: 300/312, loss: 0.86721, top1: 0.00084, throughput: 1316.66 | 2022-04-13 01:44:07.026 [rank:0] [train], epoch: 0/1, iter: 300/312, loss: 0.86727, top1: 0.00117, throughput: 1316.69 | 2022-04-13 01:44:07.027 [rank:3] [train], epoch: 0/1, iter: 300/312, loss: 0.86747, top1: 0.00098, throughput: 1316.63 | 2022-04-13 01:44:07.028 [rank:1] [train], epoch: 0/1, iter: 300/312, loss: 0.86757, top1: 0.00090, throughput: 1316.68 | 2022-04-13 01:44:07.025 [rank:6] [train], epoch: 0/1, iter: 300/312, loss: 0.86732, top1: 0.00092, throughput: 1316.67 | 2022-04-13 01:44:07.026 [rank:7] [train], epoch: 0/1, iter: 300/312, loss: 0.86741, top1: 0.00107, throughput: 1316.53 | 2022-04-13 01:44:07.031 [rank:4] [train], epoch: 0/1, iter: 300/312, loss: 0.86727, top1: 0.00102, throughput: 1313.05 | 2022-04-13 01:44:07.139