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: 0.4967048168182373, latency(ms): 126.6172921657562256 | 2022-05-20 02:07:33.456
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/20 02:07:33.498, Tesla V100-SXM2-32GB, 470.57.02, 68 %, 26 %, 32510 MiB, 29462 MiB, 3048 MiB
[rank:0] iter: 200/1100, loss: 0.4674125313758850, latency(ms): 81.3372002542018890 | 2022-05-20 02:07:41.590
[rank:0] iter: 300/1100, loss: 0.4619222581386566, latency(ms): 79.5815798640251160 | 2022-05-20 02:07:49.548
[rank:0] iter: 400/1100, loss: 0.4591927230358124, latency(ms): 80.0237650424242020 | 2022-05-20 02:07:57.551
[rank:0] iter: 500/1100, loss: 0.4563219845294952, latency(ms): 80.9678430110216141 | 2022-05-20 02:08:05.647
[rank:0] iter: 600/1100, loss: 0.4524685740470886, latency(ms): 80.9025404229760170 | 2022-05-20 02:08:13.738
[rank:0] iter: 700/1100, loss: 0.4466920197010040, latency(ms): 80.0775947421789169 | 2022-05-20 02:08:21.745
[rank:0] iter: 800/1100, loss: 0.4462925195693970, latency(ms): 81.0137797892093658 | 2022-05-20 02:08:29.847
[rank:0] iter: 900/1100, loss: 0.4455752074718475, latency(ms): 80.4172230511903763 | 2022-05-20 02:08:37.888
[rank:0] iter: 1000/1100, loss: 0.4452039599418640, latency(ms): 79.6161530911922455 | 2022-05-20 02:08:45.850
[rank:0] iter: 1100/1100, loss: 0.4449694752693176, latency(ms): 80.8879046887159348 | 2022-05-20 02:08:53.939