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 ...................................... 512
  batch_size_per_proc ............................. 512
  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: 0.5270456671714783, latency(ms): 44.1526106745004654 | 2022-04-05 01:46:49.593
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/05 01:46:49.626, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 96 %, 32510 MiB, 30708 MiB, 1802 MiB
[rank:0] iter: 200/1100, loss: 0.5001633167266846, latency(ms): 4.4624757766723633 | 2022-04-05 01:46:50.039
[rank:0] iter: 300/1100, loss: 0.4963743984699249, latency(ms): 4.1030399501323700 | 2022-04-05 01:46:50.449
[rank:0] iter: 400/1100, loss: 0.4914963543415070, latency(ms): 4.0579202398657799 | 2022-04-05 01:46:50.855
[rank:0] iter: 500/1100, loss: 0.4945862293243408, latency(ms): 4.1758020594716072 | 2022-04-05 01:46:51.273
[rank:0] iter: 600/1100, loss: 0.4818134605884552, latency(ms): 4.1427003219723701 | 2022-04-05 01:46:51.687
[rank:0] iter: 700/1100, loss: 0.4858473837375641, latency(ms): 4.1140569746494293 | 2022-04-05 01:46:52.098
[rank:0] iter: 800/1100, loss: 0.4860183298587799, latency(ms): 4.0685515105724335 | 2022-04-05 01:46:52.505
[rank:0] iter: 900/1100, loss: 0.4851682782173157, latency(ms): 4.2174110561609268 | 2022-04-05 01:46:52.927
[rank:0] iter: 1000/1100, loss: 0.4828884601593018, latency(ms): 4.1407706215977669 | 2022-04-05 01:46:53.341
[rank:0] iter: 1100/1100, loss: 0.4838740825653076, latency(ms): 4.2407042533159256 | 2022-04-05 01:46:53.765