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 ............................................. 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: 0.5032121539115906, latency(ms): 358.9662710949778557 | 2022-04-28 10:37:01.553
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/28 10:37:01.584, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 27086 MiB, 5424 MiB
[rank:0] iter: 200/1100, loss: 0.4699063599109650, latency(ms): 305.8397026360034943 | 2022-04-28 10:37:32.137
[rank:0] iter: 300/1100, loss: 0.4609139263629913, latency(ms): 303.1449913233518600 | 2022-04-28 10:38:02.451
[rank:0] iter: 400/1100, loss: 0.4531263709068298, latency(ms): 308.9603192731738091 | 2022-04-28 10:38:33.347
[rank:0] iter: 500/1100, loss: 0.4516018629074097, latency(ms): 304.0596095472574234 | 2022-04-28 10:39:03.753
[rank:0] iter: 600/1100, loss: 0.4464251399040222, latency(ms): 303.9641122892498970 | 2022-04-28 10:39:34.149
[rank:0] iter: 700/1100, loss: 0.4407918453216553, latency(ms): 303.8200114667415619 | 2022-04-28 10:40:04.531
[rank:0] iter: 800/1100, loss: 0.4422093927860260, latency(ms): 305.1515443623065948 | 2022-04-28 10:40:35.047
[rank:0] iter: 900/1100, loss: 0.4342610836029053, latency(ms): 304.2086292803287506 | 2022-04-28 10:41:05.467
[rank:0] iter: 1000/1100, loss: 0.4313315451145172, latency(ms): 302.9240439459681511 | 2022-04-28 10:41:35.760
[rank:0] iter: 1100/1100, loss: 0.4332537055015564, latency(ms): 306.2752479314804077 | 2022-04-28 10:42:06.387