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: 0.4950746595859528, latency(ms): 218.9115908369421959 | 2022-05-11 01:46:34.070
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/11 01:46:34.104, Tesla V100-SXM2-32GB, 470.57.02, 44 %, 19 %, 32510 MiB, 27764 MiB, 4746 MiB
[rank:0] iter: 200/1100, loss: 0.4647245705127716, latency(ms): 172.9366927966475487 | 2022-05-11 01:46:51.363
[rank:0] iter: 300/1100, loss: 0.4581461250782013, latency(ms): 171.1236302927136421 | 2022-05-11 01:47:08.476
[rank:0] iter: 400/1100, loss: 0.4503543078899384, latency(ms): 173.8553500920534134 | 2022-05-11 01:47:25.861
[rank:0] iter: 500/1100, loss: 0.4485861659049988, latency(ms): 177.1431042626500130 | 2022-05-11 01:47:43.575
[rank:0] iter: 600/1100, loss: 0.4441826939582825, latency(ms): 183.8386844098567963 | 2022-05-11 01:48:01.959
[rank:0] iter: 700/1100, loss: 0.4377223253250122, latency(ms): 170.9941902011632919 | 2022-05-11 01:48:19.059
[rank:0] iter: 800/1100, loss: 0.4383797049522400, latency(ms): 163.1734667345881462 | 2022-05-11 01:48:35.376
[rank:0] iter: 900/1100, loss: 0.4310058653354645, latency(ms): 163.8229944929480553 | 2022-05-11 01:48:51.758
[rank:0] iter: 1000/1100, loss: 0.4267848134040833, latency(ms): 165.2308426797389984 | 2022-05-11 01:49:08.281
[rank:0] iter: 1100/1100, loss: 0.4279024899005890, latency(ms): 166.9436308741569519 | 2022-05-11 01:49:24.976