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 ............................. 131072
  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: 0.4950428009033203, latency(ms): 228.7834695726633072 | 2022-04-13 01:45:06.857
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/13 01:45:06.878, Tesla V100-SXM2-32GB, 470.57.02, 55 %, 21 %, 32510 MiB, 27770 MiB, 4740 MiB
[rank:0] iter: 200/1100, loss: 0.4648393690586090, latency(ms): 174.1652753204107285 | 2022-04-13 01:45:24.274
[rank:0] iter: 300/1100, loss: 0.4581595957279205, latency(ms): 171.0231137275695801 | 2022-04-13 01:45:41.376
[rank:0] iter: 400/1100, loss: 0.4503563642501831, latency(ms): 171.8421051651239395 | 2022-04-13 01:45:58.560
[rank:0] iter: 500/1100, loss: 0.4485471844673157, latency(ms): 174.9602379277348518 | 2022-04-13 01:46:16.056
[rank:0] iter: 600/1100, loss: 0.4441156387329102, latency(ms): 182.1603889018297195 | 2022-04-13 01:46:34.272
[rank:0] iter: 700/1100, loss: 0.4376492202281952, latency(ms): 171.0734346508979797 | 2022-04-13 01:46:51.379
[rank:0] iter: 800/1100, loss: 0.4383310973644257, latency(ms): 157.4905938655138016 | 2022-04-13 01:47:07.129
[rank:0] iter: 900/1100, loss: 0.4308460652828217, latency(ms): 157.4404594302177429 | 2022-04-13 01:47:22.873
[rank:0] iter: 1000/1100, loss: 0.4266537427902222, latency(ms): 158.8960945606231689 | 2022-04-13 01:47:38.762
[rank:0] iter: 1100/1100, loss: 0.4278936088085175, latency(ms): 157.6900865137577057 | 2022-04-13 01:47:54.531