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 ...................................... 65536
  batch_size_per_proc ............................. 65536
  data_dir ........................................ /dataset/f9f659c5/wdl_ofrecord
  data_part_name_suffix_length .................... 5
  data_part_num ................................... 256
  dataset_format .................................. ofrecord
  ddp ............................................. False
  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 .................................. graph
  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: 0.4977687597274780, latency(ms): 137.1026530861854553 | 2022-04-28 01:44:17.553
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/28 01:44:17.573, Tesla V100-SXM2-32GB, 470.57.02, 49 %, 20 %, 32510 MiB, 29404 MiB, 3106 MiB
[rank:0] iter: 200/1100, loss: 0.4675940275192261, latency(ms): 98.9972456917166710 | 2022-04-28 01:44:27.452
[rank:0] iter: 300/1100, loss: 0.4617753624916077, latency(ms): 99.9537215381860733 | 2022-04-28 01:44:37.448
[rank:0] iter: 400/1100, loss: 0.4590203762054443, latency(ms): 98.8947331160306931 | 2022-04-28 01:44:47.337
[rank:0] iter: 500/1100, loss: 0.4562340974807739, latency(ms): 99.1551703214645386 | 2022-04-28 01:44:57.253
[rank:0] iter: 600/1100, loss: 0.4524142742156982, latency(ms): 96.9771286845207214 | 2022-04-28 01:45:06.950
[rank:0] iter: 700/1100, loss: 0.4465930163860321, latency(ms): 95.0265245512127876 | 2022-04-28 01:45:16.453
[rank:0] iter: 800/1100, loss: 0.4462818205356598, latency(ms): 94.9578981474041939 | 2022-04-28 01:45:25.949
[rank:0] iter: 900/1100, loss: 0.4454907178878784, latency(ms): 95.9448377415537834 | 2022-04-28 01:45:35.543
[rank:0] iter: 1000/1100, loss: 0.4449760317802429, latency(ms): 96.1007867753505707 | 2022-04-28 01:45:45.153
[rank:0] iter: 1100/1100, loss: 0.4448292553424835, latency(ms): 98.9193197339773178 | 2022-04-28 01:45:55.045