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
------------------------ arguments ------------------------
  batch_size ...................................... 131072
  batch_size_per_proc ............................. 16384
  data_dir ........................................ /dataset/f9f659c5/wdl_ofrecord
  data_part_name_suffix_length .................... 5
  data_part_num ................................... 256
  dataset_format .................................. ofrecord
  ddp ............................................. True
  deep_dropout_rate ............................... 0.5
  deep_embedding_vec_size ......................... 16
  deep_vocab_size ................................. 2322444
  eval_after_training ............................. False
  eval_batchs ..................................... 20
  eval_interval ................................... 0
  execution_mode .................................. eager
  hidden_size ..................................... 1024
  hidden_units_num ................................ 2
  learning_rate ................................... 0.001
  loss_print_every_n_iter ......................... 100
  max_iter ........................................ 1100
  model_load_dir .................................. 
  model_save_dir .................................. ./checkpoint
  num_deep_sparse_fields .......................... 26
  num_dense_fields ................................ 13
  num_wide_sparse_fields .......................... 2
  save_initial_model .............................. False
  save_model_after_each_eval ...................... False
  test_name ....................................... noname_test
  wide_vocab_size ................................. 2322444
-------------------- end of arguments ---------------------
[rank:0] iter: 100/1100, loss: 0.5033612847328186, latency(ms): 94.2059067636728287 | 2022-05-09 23:02:32.667
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]
2022/05/09 23:02:32.844, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29888 MiB, 2622 MiB
2022/05/09 23:02:32.848, Tesla V100-SXM2-32GB, 470.57.02, 28 %, 17 %, 32510 MiB, 29908 MiB, 2602 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/09 23:02:32.848, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29888 MiB, 2622 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]
2022/05/09 23:02:32.851, Tesla V100-SXM2-32GB, 470.57.02, 22 %, 8 %, 32510 MiB, 29984 MiB, 2526 MiB
2022/05/09 23:02:32.851, Tesla V100-SXM2-32GB, 470.57.02, 28 %, 17 %, 32510 MiB, 29908 MiB, 2602 MiB
2022/05/09 23:02:32.851, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29888 MiB, 2622 MiB
2022/05/09 23:02:32.854, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29888 MiB, 2622 MiB
2022/05/09 23:02:32.854, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29888 MiB, 2622 MiB
2022/05/09 23:02:32.858, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 29960 MiB, 2550 MiB
2022/05/09 23:02:32.859, Tesla V100-SXM2-32GB, 470.57.02, 22 %, 8 %, 32510 MiB, 29984 MiB, 2526 MiB
2022/05/09 23:02:32.859, Tesla V100-SXM2-32GB, 470.57.02, 28 %, 17 %, 32510 MiB, 29908 MiB, 2602 MiB
2022/05/09 23:02:32.863, Tesla V100-SXM2-32GB, 470.57.02, 28 %, 17 %, 32510 MiB, 29908 MiB, 2602 MiB
2022/05/09 23:02:32.864, Tesla V100-SXM2-32GB, 470.57.02, 28 %, 17 %, 32510 MiB, 29908 MiB, 2602 MiB
2022/05/09 23:02:32.866, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 29968 MiB, 2542 MiB
2022/05/09 23:02:32.867, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 29960 MiB, 2550 MiB
2022/05/09 23:02:32.868, Tesla V100-SXM2-32GB, 470.57.02, 22 %, 8 %, 32510 MiB, 29984 MiB, 2526 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/09 23:02:32.871, Tesla V100-SXM2-32GB, 470.57.02, 22 %, 8 %, 32510 MiB, 29984 MiB, 2526 MiB
2022/05/09 23:02:32.872, Tesla V100-SXM2-32GB, 470.57.02, 22 %, 8 %, 32510 MiB, 29984 MiB, 2526 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]
2022/05/09 23:02:32.875, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29900 MiB, 2610 MiB
2022/05/09 23:02:32.876, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 29968 MiB, 2542 MiB
2022/05/09 23:02:32.876, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 29960 MiB, 2550 MiB
2022/05/09 23:02:32.877, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29888 MiB, 2622 MiB
2022/05/09 23:02:32.879, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 29960 MiB, 2550 MiB
2022/05/09 23:02:32.880, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 29960 MiB, 2550 MiB
2022/05/09 23:02:32.880, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29888 MiB, 2622 MiB
2022/05/09 23:02:32.881, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29888 MiB, 2622 MiB
2022/05/09 23:02:32.883, Tesla V100-SXM2-32GB, 470.57.02, 29 %, 8 %, 32510 MiB, 29844 MiB, 2666 MiB
2022/05/09 23:02:32.883, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29900 MiB, 2610 MiB
2022/05/09 23:02:32.884, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 29968 MiB, 2542 MiB
2022/05/09 23:02:32.886, Tesla V100-SXM2-32GB, 470.57.02, 28 %, 17 %, 32510 MiB, 29908 MiB, 2602 MiB
2022/05/09 23:02:32.887, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 29968 MiB, 2542 MiB
2022/05/09 23:02:32.889, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 29968 MiB, 2542 MiB
2022/05/09 23:02:32.890, Tesla V100-SXM2-32GB, 470.57.02, 28 %, 17 %, 32510 MiB, 29908 MiB, 2602 MiB
2022/05/09 23:02:32.891, Tesla V100-SXM2-32GB, 470.57.02, 28 %, 17 %, 32510 MiB, 29908 MiB, 2602 MiB
2022/05/09 23:02:32.892, Tesla V100-SXM2-32GB, 470.57.02, 28 %, 8 %, 32510 MiB, 29924 MiB, 2586 MiB
2022/05/09 23:02:32.893, Tesla V100-SXM2-32GB, 470.57.02, 29 %, 8 %, 32510 MiB, 29844 MiB, 2666 MiB
2022/05/09 23:02:32.893, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29900 MiB, 2610 MiB
2022/05/09 23:02:32.895, Tesla V100-SXM2-32GB, 470.57.02, 22 %, 8 %, 32510 MiB, 29984 MiB, 2526 MiB
2022/05/09 23:02:32.897, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29900 MiB, 2610 MiB
2022/05/09 23:02:32.898, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29900 MiB, 2610 MiB
2022/05/09 23:02:32.900, Tesla V100-SXM2-32GB, 470.57.02, 22 %, 8 %, 32510 MiB, 29984 MiB, 2526 MiB
2022/05/09 23:02:32.901, Tesla V100-SXM2-32GB, 470.57.02, 22 %, 8 %, 32510 MiB, 29984 MiB, 2526 MiB
2022/05/09 23:02:32.902, Tesla V100-SXM2-32GB, 470.57.02, 28 %, 8 %, 32510 MiB, 29924 MiB, 2586 MiB
2022/05/09 23:02:32.903, Tesla V100-SXM2-32GB, 470.57.02, 29 %, 8 %, 32510 MiB, 29844 MiB, 2666 MiB
2022/05/09 23:02:32.905, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 29960 MiB, 2550 MiB
2022/05/09 23:02:32.906, Tesla V100-SXM2-32GB, 470.57.02, 29 %, 8 %, 32510 MiB, 29844 MiB, 2666 MiB
2022/05/09 23:02:32.908, Tesla V100-SXM2-32GB, 470.57.02, 29 %, 8 %, 32510 MiB, 29844 MiB, 2666 MiB
2022/05/09 23:02:32.909, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 29960 MiB, 2550 MiB
2022/05/09 23:02:32.910, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 29960 MiB, 2550 MiB
2022/05/09 23:02:32.912, Tesla V100-SXM2-32GB, 470.57.02, 28 %, 8 %, 32510 MiB, 29924 MiB, 2586 MiB
2022/05/09 23:02:32.914, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 29968 MiB, 2542 MiB
2022/05/09 23:02:32.916, Tesla V100-SXM2-32GB, 470.57.02, 28 %, 8 %, 32510 MiB, 29924 MiB, 2586 MiB
2022/05/09 23:02:32.917, Tesla V100-SXM2-32GB, 470.57.02, 28 %, 8 %, 32510 MiB, 29924 MiB, 2586 MiB
2022/05/09 23:02:32.918, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 29968 MiB, 2542 MiB
2022/05/09 23:02:32.919, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 29968 MiB, 2542 MiB
2022/05/09 23:02:32.923, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29900 MiB, 2610 MiB
2022/05/09 23:02:32.927, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29900 MiB, 2610 MiB
2022/05/09 23:02:32.928, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29900 MiB, 2610 MiB
2022/05/09 23:02:32.930, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29844 MiB, 2666 MiB
2022/05/09 23:02:32.937, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29844 MiB, 2666 MiB
2022/05/09 23:02:32.938, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29844 MiB, 2666 MiB
2022/05/09 23:02:32.941, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29924 MiB, 2586 MiB
2022/05/09 23:02:32.944, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29924 MiB, 2586 MiB
2022/05/09 23:02:32.948, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29924 MiB, 2586 MiB
[rank:0] iter: 200/1100, loss: 0.4710125327110291, latency(ms): 41.8476051464676857 | 2022-05-09 23:02:36.852
[rank:0] iter: 300/1100, loss: 0.4611925482749939, latency(ms): 40.3195783123373985 | 2022-05-09 23:02:40.884
[rank:0] iter: 400/1100, loss: 0.4523860812187195, latency(ms): 40.3912007063627243 | 2022-05-09 23:02:44.923
[rank:0] iter: 500/1100, loss: 0.4506020247936249, latency(ms): 42.2449034079909325 | 2022-05-09 23:02:49.148
[rank:0] iter: 600/1100, loss: 0.4467147588729858, latency(ms): 41.4229565113782883 | 2022-05-09 23:02:53.290
[rank:0] iter: 700/1100, loss: 0.4403909444808960, latency(ms): 41.0535142198204994 | 2022-05-09 23:02:57.395
[rank:0] iter: 800/1100, loss: 0.4425121247768402, latency(ms): 41.7499107494950294 | 2022-05-09 23:03:01.570
[rank:0] iter: 900/1100, loss: 0.4330270886421204, latency(ms): 43.0036315694451332 | 2022-05-09 23:03:05.871
[rank:0] iter: 1000/1100, loss: 0.4314037263393402, latency(ms): 43.7794613093137741 | 2022-05-09 23:03:10.248
[rank:0] iter: 1100/1100, loss: 0.4331380724906921, latency(ms): 43.1878874450922012 | 2022-05-09 23:03:14.567