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: 0.5034303665161133, latency(ms): 364.7170306369662285 | 2022-04-17 01:48:36.943
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/17 01:48:36.967, Tesla V100-SXM2-32GB, 470.57.02, 55 %, 22 %, 32510 MiB, 27092 MiB, 5418 MiB
[rank:0] iter: 200/1100, loss: 0.4685257971286774, latency(ms): 306.0177993401885033 | 2022-04-17 01:49:07.545
[rank:0] iter: 300/1100, loss: 0.4599971473217010, latency(ms): 301.9082392379641533 | 2022-04-17 01:49:37.736
[rank:0] iter: 400/1100, loss: 0.4521667361259460, latency(ms): 304.0733146294951439 | 2022-04-17 01:50:08.143
[rank:0] iter: 500/1100, loss: 0.4508963525295258, latency(ms): 300.0092905387282372 | 2022-04-17 01:50:38.144
[rank:0] iter: 600/1100, loss: 0.4457581639289856, latency(ms): 299.9926993995904922 | 2022-04-17 01:51:08.143
[rank:0] iter: 700/1100, loss: 0.4400922358036041, latency(ms): 302.0874778181314468 | 2022-04-17 01:51:38.352
[rank:0] iter: 800/1100, loss: 0.4416491985321045, latency(ms): 300.1512931287288666 | 2022-04-17 01:52:08.367
[rank:0] iter: 900/1100, loss: 0.4335149526596069, latency(ms): 299.9130508676171303 | 2022-04-17 01:52:38.358
[rank:0] iter: 1000/1100, loss: 0.4305459856987000, latency(ms): 300.1128337159752846 | 2022-04-17 01:53:08.370
[rank:0] iter: 1100/1100, loss: 0.4325840771198273, latency(ms): 302.8847536444664001 | 2022-04-17 01:53:38.658