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: 0.4979032278060913, latency(ms): 132.8460139781236649 | 2022-05-08 01:41:13.059
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/08 01:41:13.080, Tesla V100-SXM2-32GB, 470.57.02, 90 %, 35 %, 32510 MiB, 29404 MiB, 3106 MiB
[rank:0] iter: 200/1100, loss: 0.4679335057735443, latency(ms): 94.8337404429912567 | 2022-05-08 01:41:22.543
[rank:0] iter: 300/1100, loss: 0.4620160758495331, latency(ms): 98.1227608025074005 | 2022-05-08 01:41:32.355
[rank:0] iter: 400/1100, loss: 0.4591323435306549, latency(ms): 98.0083900690078735 | 2022-05-08 01:41:42.156
[rank:0] iter: 500/1100, loss: 0.4563653171062469, latency(ms): 97.9988638684153557 | 2022-05-08 01:41:51.956
[rank:0] iter: 600/1100, loss: 0.4524912238121033, latency(ms): 98.8737446814775467 | 2022-05-08 01:42:01.843
[rank:0] iter: 700/1100, loss: 0.4467371702194214, latency(ms): 97.0706103742122650 | 2022-05-08 01:42:11.550
[rank:0] iter: 800/1100, loss: 0.4464118182659149, latency(ms): 96.0860058292746544 | 2022-05-08 01:42:21.159
[rank:0] iter: 900/1100, loss: 0.4455811977386475, latency(ms): 97.9471897333860397 | 2022-05-08 01:42:30.954
[rank:0] iter: 1000/1100, loss: 0.4451980590820312, latency(ms): 98.0070398747920990 | 2022-05-08 01:42:40.754
[rank:0] iter: 1100/1100, loss: 0.4449206590652466, latency(ms): 97.9023089259862900 | 2022-05-08 01:42:50.544