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: 0.5034632682800293, latency(ms): 366.5094061940908432 | 2022-04-14 01:50:39.906
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/14 01:50:39.928, Tesla V100-SXM2-32GB, 470.57.02, 60 %, 25 %, 32510 MiB, 27156 MiB, 5354 MiB
[rank:0] iter: 200/1100, loss: 0.4713466763496399, latency(ms): 306.3931426033377647 | 2022-04-14 01:51:10.545
[rank:0] iter: 300/1100, loss: 0.4609780609607697, latency(ms): 312.9730964452028275 | 2022-04-14 01:51:41.843
[rank:0] iter: 400/1100, loss: 0.4529837667942047, latency(ms): 300.9454945102334023 | 2022-04-14 01:52:11.937
[rank:0] iter: 500/1100, loss: 0.4514514803886414, latency(ms): 300.3676019236445427 | 2022-04-14 01:52:41.974
[rank:0] iter: 600/1100, loss: 0.4464013576507568, latency(ms): 299.6100049838423729 | 2022-04-14 01:53:11.935
[rank:0] iter: 700/1100, loss: 0.4407431781291962, latency(ms): 300.0327333435416222 | 2022-04-14 01:53:41.938
[rank:0] iter: 800/1100, loss: 0.4420894682407379, latency(ms): 300.1640656217932701 | 2022-04-14 01:54:11.955
[rank:0] iter: 900/1100, loss: 0.4340615868568420, latency(ms): 301.0288162901997566 | 2022-04-14 01:54:42.057
[rank:0] iter: 1000/1100, loss: 0.4310739636421204, latency(ms): 300.0251712650060654 | 2022-04-14 01:55:12.060
[rank:0] iter: 1100/1100, loss: 0.4330522119998932, latency(ms): 301.1007246375083923 | 2022-04-14 01:55:42.170