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: 0.4950869679450989, latency(ms): 223.1471130996942520 | 2022-05-23 01:44:16.967
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/23 01:44:17.031, Tesla V100-SXM2-32GB, 470.57.02, 51 %, 20 %, 32510 MiB, 27758 MiB, 4752 MiB
[rank:0] iter: 200/1100, loss: 0.4647811949253082, latency(ms): 179.9686844274401665 | 2022-05-23 01:44:34.964
[rank:0] iter: 300/1100, loss: 0.4581976830959320, latency(ms): 162.1286396682262421 | 2022-05-23 01:44:51.177
[rank:0] iter: 400/1100, loss: 0.4504210650920868, latency(ms): 160.8843159303069115 | 2022-05-23 01:45:07.265
[rank:0] iter: 500/1100, loss: 0.4486399888992310, latency(ms): 162.2013429552316666 | 2022-05-23 01:45:23.486
[rank:0] iter: 600/1100, loss: 0.4442136883735657, latency(ms): 164.7926135361194611 | 2022-05-23 01:45:39.965
[rank:0] iter: 700/1100, loss: 0.4377622306346893, latency(ms): 164.1481712460517883 | 2022-05-23 01:45:56.380
[rank:0] iter: 800/1100, loss: 0.4384543895721436, latency(ms): 165.8540731295943260 | 2022-05-23 01:46:12.965
[rank:0] iter: 900/1100, loss: 0.4310499131679535, latency(ms): 176.0530198737978935 | 2022-05-23 01:46:30.570
[rank:0] iter: 1000/1100, loss: 0.4268246889114380, latency(ms): 176.9445278495550156 | 2022-05-23 01:46:48.265
[rank:0] iter: 1100/1100, loss: 0.4279617965221405, latency(ms): 176.2034748494625092 | 2022-05-23 01:47:05.885