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: 0.5032731890678406, latency(ms): 344.5530400797724724 | 2022-05-07 01:51:18.339
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/07 01:51:18.359, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 5 %, 32510 MiB, 27086 MiB, 5424 MiB
[rank:0] iter: 200/1100, loss: 0.4676433503627777, latency(ms): 302.1049210801720619 | 2022-05-07 01:51:48.549
[rank:0] iter: 300/1100, loss: 0.4599865674972534, latency(ms): 301.0197434201836586 | 2022-05-07 01:52:18.651
[rank:0] iter: 400/1100, loss: 0.4522495269775391, latency(ms): 301.9363484159111977 | 2022-05-07 01:52:48.845
[rank:0] iter: 500/1100, loss: 0.4511244595050812, latency(ms): 300.1042023673653603 | 2022-05-07 01:53:18.855
[rank:0] iter: 600/1100, loss: 0.4462262392044067, latency(ms): 300.9670457616448402 | 2022-05-07 01:53:48.952
[rank:0] iter: 700/1100, loss: 0.4405381679534912, latency(ms): 301.0631502419710159 | 2022-05-07 01:54:19.058
[rank:0] iter: 800/1100, loss: 0.4420851171016693, latency(ms): 301.9238001480698586 | 2022-05-07 01:54:49.251
[rank:0] iter: 900/1100, loss: 0.4340606927871704, latency(ms): 303.0804350972175598 | 2022-05-07 01:55:19.559
[rank:0] iter: 1000/1100, loss: 0.4311279952526093, latency(ms): 300.2030993252992630 | 2022-05-07 01:55:49.579
[rank:0] iter: 1100/1100, loss: 0.4331161081790924, latency(ms): 302.9131779819726944 | 2022-05-07 01:56:19.870