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 ...................................... 65536
  batch_size_per_proc ............................. 65536
  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: 0.4984444379806519, latency(ms): 136.9222005829215050 | 2022-04-27 10:18:53.256
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/27 10:18:53.278, Tesla V100-SXM2-32GB, 470.57.02, 50 %, 20 %, 32510 MiB, 29404 MiB, 3106 MiB
[rank:0] iter: 200/1100, loss: 0.4681326746940613, latency(ms): 102.0054831355810165 | 2022-04-27 10:19:03.457
[rank:0] iter: 300/1100, loss: 0.4621172845363617, latency(ms): 96.9449215754866600 | 2022-04-27 10:19:13.151
[rank:0] iter: 400/1100, loss: 0.4592672586441040, latency(ms): 97.0274721831083298 | 2022-04-27 10:19:22.854
[rank:0] iter: 500/1100, loss: 0.4564823806285858, latency(ms): 93.9973460510373116 | 2022-04-27 10:19:32.253
[rank:0] iter: 600/1100, loss: 0.4525595009326935, latency(ms): 93.0253440886735916 | 2022-04-27 10:19:41.556
[rank:0] iter: 700/1100, loss: 0.4468136727809906, latency(ms): 90.3792111948132515 | 2022-04-27 10:19:50.594
[rank:0] iter: 800/1100, loss: 0.4464315176010132, latency(ms): 92.5568136200308800 | 2022-04-27 10:19:59.850
[rank:0] iter: 900/1100, loss: 0.4456315636634827, latency(ms): 93.0562764033675194 | 2022-04-27 10:20:09.155
[rank:0] iter: 1000/1100, loss: 0.4451727569103241, latency(ms): 95.9871325641870499 | 2022-04-27 10:20:18.754
[rank:0] iter: 1100/1100, loss: 0.4449529647827148, latency(ms): 94.9802560359239578 | 2022-04-27 10:20:28.252