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: 0.4955491125583649, latency(ms): 216.1758809536695480 | 2022-05-16 01:44:33.590
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/16 01:44:33.606, Tesla V100-SXM2-32GB, 470.57.02, 58 %, 25 %, 32510 MiB, 28274 MiB, 4236 MiB
[rank:0] iter: 200/1100, loss: 0.4649842381477356, latency(ms): 176.9439533725380898 | 2022-05-16 01:44:51.284
[rank:0] iter: 300/1100, loss: 0.4583576321601868, latency(ms): 178.9249708130955696 | 2022-05-16 01:45:09.176
[rank:0] iter: 400/1100, loss: 0.4504632055759430, latency(ms): 158.8710352778434753 | 2022-05-16 01:45:25.064
[rank:0] iter: 500/1100, loss: 0.4487048685550690, latency(ms): 157.9861699789762497 | 2022-05-16 01:45:40.862
[rank:0] iter: 600/1100, loss: 0.4442983567714691, latency(ms): 159.7686322405934334 | 2022-05-16 01:45:56.839
[rank:0] iter: 700/1100, loss: 0.4378110468387604, latency(ms): 160.3849544748663902 | 2022-05-16 01:46:12.878
[rank:0] iter: 800/1100, loss: 0.4384840726852417, latency(ms): 161.8326345831155777 | 2022-05-16 01:46:29.061
[rank:0] iter: 900/1100, loss: 0.4311790466308594, latency(ms): 160.1892470195889473 | 2022-05-16 01:46:45.080
[rank:0] iter: 1000/1100, loss: 0.4270974695682526, latency(ms): 172.8461440652608871 | 2022-05-16 01:47:02.364
[rank:0] iter: 1100/1100, loss: 0.4281581640243530, latency(ms): 177.9944064840674400 | 2022-05-16 01:47:20.164