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: 0.4978094398975372, latency(ms): 132.7923224493861198 | 2022-05-27 01:44:28.846
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/27 01:44:28.861, Tesla V100-SXM2-32GB, 470.57.02, 61 %, 24 %, 32510 MiB, 29398 MiB, 3112 MiB
[rank:0] iter: 200/1100, loss: 0.4678646028041840, latency(ms): 92.1161895617842674 | 2022-05-27 01:44:38.058
[rank:0] iter: 300/1100, loss: 0.4620411694049835, latency(ms): 91.8923093751072884 | 2022-05-27 01:44:47.247
[rank:0] iter: 400/1100, loss: 0.4592785239219666, latency(ms): 92.4239596351981163 | 2022-05-27 01:44:56.489
[rank:0] iter: 500/1100, loss: 0.4564486443996429, latency(ms): 94.5978551357984543 | 2022-05-27 01:45:05.949
[rank:0] iter: 600/1100, loss: 0.4525890052318573, latency(ms): 90.9984368830919266 | 2022-05-27 01:45:15.049
[rank:0] iter: 700/1100, loss: 0.4467956423759460, latency(ms): 92.9845159500837326 | 2022-05-27 01:45:24.347
[rank:0] iter: 800/1100, loss: 0.4464657306671143, latency(ms): 92.9498020559549332 | 2022-05-27 01:45:33.642
[rank:0] iter: 900/1100, loss: 0.4456852078437805, latency(ms): 92.1352276578545570 | 2022-05-27 01:45:42.856
[rank:0] iter: 1000/1100, loss: 0.4452664256095886, latency(ms): 91.9895147904753685 | 2022-05-27 01:45:52.055
[rank:0] iter: 1100/1100, loss: 0.4450117349624634, latency(ms): 97.9100340604782104 | 2022-05-27 01:46:01.846