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 ............................................. 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: 0.5263580679893494, latency(ms): 36.6146813333034515 | 2022-05-07 01:43:02.704
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/07 01:43:02.723, Tesla V100-SXM2-32GB, 470.57.02, 60 %, 12 %, 32510 MiB, 31034 MiB, 1476 MiB
[rank:0] iter: 200/1100, loss: 0.5014019608497620, latency(ms): 1.4390360563993454 | 2022-05-07 01:43:02.848
[rank:0] iter: 300/1100, loss: 0.4976752400398254, latency(ms): 1.2632851675152779 | 2022-05-07 01:43:02.974
[rank:0] iter: 400/1100, loss: 0.4921978414058685, latency(ms): 1.5391212701797485 | 2022-05-07 01:43:03.128
[rank:0] iter: 500/1100, loss: 0.4949666261672974, latency(ms): 1.3145604729652405 | 2022-05-07 01:43:03.259
[rank:0] iter: 600/1100, loss: 0.4836597442626953, latency(ms): 1.3169409334659576 | 2022-05-07 01:43:03.391
[rank:0] iter: 700/1100, loss: 0.4864062964916229, latency(ms): 1.6085306555032730 | 2022-05-07 01:43:03.552
[rank:0] iter: 800/1100, loss: 0.4877525269985199, latency(ms): 1.3152722641825676 | 2022-05-07 01:43:03.683
[rank:0] iter: 900/1100, loss: 0.4845660328865051, latency(ms): 1.6367724910378456 | 2022-05-07 01:43:03.847
[rank:0] iter: 1000/1100, loss: 0.4837454855442047, latency(ms): 1.3277275487780571 | 2022-05-07 01:43:03.980
[rank:0] iter: 1100/1100, loss: 0.4832455515861511, latency(ms): 1.6234300658106804 | 2022-05-07 01:43:04.142