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: 0.5266481637954712, latency(ms): 44.0468206629157066 | 2022-04-04 01:44:18.586
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/04 01:44:18.610, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 96 %, 32510 MiB, 30708 MiB, 1802 MiB
[rank:0] iter: 200/1100, loss: 0.4991805255413055, latency(ms): 4.2990386113524437 | 2022-04-04 01:44:19.016
[rank:0] iter: 300/1100, loss: 0.4966009259223938, latency(ms): 4.0663017705082893 | 2022-04-04 01:44:19.422
[rank:0] iter: 400/1100, loss: 0.4922938644886017, latency(ms): 4.0661331266164780 | 2022-04-04 01:44:19.829
[rank:0] iter: 500/1100, loss: 0.4935570061206818, latency(ms): 4.0141005441546440 | 2022-04-04 01:44:20.230
[rank:0] iter: 600/1100, loss: 0.4827225208282471, latency(ms): 4.1426627710461617 | 2022-04-04 01:44:20.645
[rank:0] iter: 700/1100, loss: 0.4858674108982086, latency(ms): 4.1649190708994865 | 2022-04-04 01:44:21.061
[rank:0] iter: 800/1100, loss: 0.4850902557373047, latency(ms): 4.0664947777986526 | 2022-04-04 01:44:21.468
[rank:0] iter: 900/1100, loss: 0.4860162436962128, latency(ms): 4.0122397989034653 | 2022-04-04 01:44:21.869
[rank:0] iter: 1000/1100, loss: 0.4830041825771332, latency(ms): 4.0836931020021439 | 2022-04-04 01:44:22.277
[rank:0] iter: 1100/1100, loss: 0.4819647669792175, latency(ms): 4.0150916948914528 | 2022-04-04 01:44:22.679