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: 0.5035898685455322, latency(ms): 341.8714966624975204 | 2022-05-22 02:06:45.249
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/22 02:06:45.276, Tesla V100-SXM2-32GB, 470.57.02, 29 %, 14 %, 32510 MiB, 27080 MiB, 5430 MiB
[rank:0] iter: 200/1100, loss: 0.4686670303344727, latency(ms): 299.9049665406346321 | 2022-05-22 02:07:15.240
[rank:0] iter: 300/1100, loss: 0.4602221250534058, latency(ms): 300.1155795902013779 | 2022-05-22 02:07:45.251
[rank:0] iter: 400/1100, loss: 0.4524492323398590, latency(ms): 301.3277191296219826 | 2022-05-22 02:08:15.384
[rank:0] iter: 500/1100, loss: 0.4511527121067047, latency(ms): 302.9423755779862404 | 2022-05-22 02:08:45.678
[rank:0] iter: 600/1100, loss: 0.4460627734661102, latency(ms): 304.5007989928126335 | 2022-05-22 02:09:16.128
[rank:0] iter: 700/1100, loss: 0.4404399991035461, latency(ms): 302.1401209756731987 | 2022-05-22 02:09:46.342
[rank:0] iter: 800/1100, loss: 0.4418539106845856, latency(ms): 303.2872070744633675 | 2022-05-22 02:10:16.671
[rank:0] iter: 900/1100, loss: 0.4338998794555664, latency(ms): 301.8760250508785248 | 2022-05-22 02:10:46.859
[rank:0] iter: 1000/1100, loss: 0.4309678673744202, latency(ms): 303.3694113418459892 | 2022-05-22 02:11:17.196
[rank:0] iter: 1100/1100, loss: 0.4329713582992554, latency(ms): 303.8028034567832947 | 2022-05-22 02:11:47.576