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 ............................................. 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: 0.5052887201309204, latency(ms): 165.7433107867836952 | 2022-04-28 01:49:42.637
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/28 01:49:42.666, Tesla V100-SXM2-32GB, 470.57.02, 46 %, 20 %, 32510 MiB, 28960 MiB, 3550 MiB
[rank:0] iter: 200/1100, loss: 0.4707232713699341, latency(ms): 120.5056362599134445 | 2022-04-28 01:49:54.688
[rank:0] iter: 300/1100, loss: 0.4636651277542114, latency(ms): 116.3063963875174522 | 2022-04-28 01:50:06.318
[rank:0] iter: 400/1100, loss: 0.4603608846664429, latency(ms): 113.2030869275331497 | 2022-04-28 01:50:17.639
[rank:0] iter: 500/1100, loss: 0.4574619531631470, latency(ms): 112.9375053197145462 | 2022-04-28 01:50:28.932
[rank:0] iter: 600/1100, loss: 0.4523975849151611, latency(ms): 116.8035085871815681 | 2022-04-28 01:50:40.613
[rank:0] iter: 700/1100, loss: 0.4468705654144287, latency(ms): 117.4045381322503090 | 2022-04-28 01:50:52.353
[rank:0] iter: 800/1100, loss: 0.4476002156734467, latency(ms): 119.7347337752580643 | 2022-04-28 01:51:04.327
[rank:0] iter: 900/1100, loss: 0.4469758272171021, latency(ms): 123.2782614231109619 | 2022-04-28 01:51:16.654
[rank:0] iter: 1000/1100, loss: 0.4463191628456116, latency(ms): 124.4923965632915497 | 2022-04-28 01:51:29.104
[rank:0] iter: 1100/1100, loss: 0.4464592635631561, latency(ms): 125.4254187270998955 | 2022-04-28 01:51:41.646