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 ...................................... 512
  batch_size_per_proc ............................. 512
  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: 0.5251585841178894, latency(ms): 41.7513276636600494 | 2022-04-13 01:42:47.959
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/13 01:42:47.978, Tesla V100-SXM2-32GB, 470.57.02, 47 %, 10 %, 32510 MiB, 31040 MiB, 1470 MiB
[rank:0] iter: 200/1100, loss: 0.5005837678909302, latency(ms): 1.5928081050515175 | 2022-04-13 01:42:48.118
[rank:0] iter: 300/1100, loss: 0.4984169900417328, latency(ms): 1.3749678432941437 | 2022-04-13 01:42:48.256
[rank:0] iter: 400/1100, loss: 0.4916567504405975, latency(ms): 1.6444337740540504 | 2022-04-13 01:42:48.420
[rank:0] iter: 500/1100, loss: 0.4955364167690277, latency(ms): 1.3335652276873589 | 2022-04-13 01:42:48.553
[rank:0] iter: 600/1100, loss: 0.4831638634204865, latency(ms): 1.6649800539016724 | 2022-04-13 01:42:48.720
[rank:0] iter: 700/1100, loss: 0.4874015748500824, latency(ms): 1.3702892139554024 | 2022-04-13 01:42:48.857
[rank:0] iter: 800/1100, loss: 0.4864667654037476, latency(ms): 1.7404906079173088 | 2022-04-13 01:42:49.031
[rank:0] iter: 900/1100, loss: 0.4874051809310913, latency(ms): 1.2113824859261513 | 2022-04-13 01:42:49.152
[rank:0] iter: 1000/1100, loss: 0.4826719760894775, latency(ms): 1.2922781705856323 | 2022-04-13 01:42:49.281
[rank:0] iter: 1100/1100, loss: 0.4833906292915344, latency(ms): 1.6143061593174934 | 2022-04-13 01:42:49.443