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: 0.4941356182098389, latency(ms): 196.9328896701335907 | 2022-05-20 02:09:17.863
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/20 02:09:17.898, Tesla V100-SXM2-32GB, 470.57.02, 65 %, 28 %, 32510 MiB, 27758 MiB, 4752 MiB
[rank:0] iter: 200/1100, loss: 0.4646402597427368, latency(ms): 148.2146508991718292 | 2022-05-20 02:09:32.684
[rank:0] iter: 300/1100, loss: 0.4578440785408020, latency(ms): 149.9081568047404289 | 2022-05-20 02:09:47.675
[rank:0] iter: 400/1100, loss: 0.4500278532505035, latency(ms): 150.0663234293460846 | 2022-05-20 02:10:02.682
[rank:0] iter: 500/1100, loss: 0.4482543468475342, latency(ms): 151.9315281510353088 | 2022-05-20 02:10:17.875
[rank:0] iter: 600/1100, loss: 0.4438209235668182, latency(ms): 154.9991833046078682 | 2022-05-20 02:10:33.375
[rank:0] iter: 700/1100, loss: 0.4372327327728271, latency(ms): 153.0510783940553665 | 2022-05-20 02:10:48.680
[rank:0] iter: 800/1100, loss: 0.4379538297653198, latency(ms): 155.8332015201449394 | 2022-05-20 02:11:04.263
[rank:0] iter: 900/1100, loss: 0.4304628372192383, latency(ms): 154.1262016072869301 | 2022-05-20 02:11:19.676
[rank:0] iter: 1000/1100, loss: 0.4262182116508484, latency(ms): 158.9482903853058815 | 2022-05-20 02:11:35.571
[rank:0] iter: 1100/1100, loss: 0.4273398518562317, latency(ms): 154.5655905455350876 | 2022-05-20 02:11:51.027