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 ...................................... 65536
  batch_size_per_proc ............................. 65536
  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: 0.4977243542671204, latency(ms): 135.9511825814843178 | 2022-04-20 01:44:02.154
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/20 01:44:02.170, Tesla V100-SXM2-32GB, 470.57.02, 46 %, 19 %, 32510 MiB, 29666 MiB, 2844 MiB
[rank:0] iter: 200/1100, loss: 0.4678555428981781, latency(ms): 92.9418149217963219 | 2022-04-20 01:44:11.449
[rank:0] iter: 300/1100, loss: 0.4620699286460876, latency(ms): 93.9572251960635185 | 2022-04-20 01:44:20.844
[rank:0] iter: 400/1100, loss: 0.4593577980995178, latency(ms): 94.0774390101432800 | 2022-04-20 01:44:30.252
[rank:0] iter: 500/1100, loss: 0.4564590454101562, latency(ms): 93.8567567616701126 | 2022-04-20 01:44:39.638
[rank:0] iter: 600/1100, loss: 0.4525856375694275, latency(ms): 95.0714181363582611 | 2022-04-20 01:44:49.145
[rank:0] iter: 700/1100, loss: 0.4468225538730621, latency(ms): 93.9965789020061493 | 2022-04-20 01:44:58.544
[rank:0] iter: 800/1100, loss: 0.4464306235313416, latency(ms): 92.0285177230834961 | 2022-04-20 01:45:07.747
[rank:0] iter: 900/1100, loss: 0.4456290304660797, latency(ms): 95.0016262754797935 | 2022-04-20 01:45:17.247
[rank:0] iter: 1000/1100, loss: 0.4452875554561615, latency(ms): 94.1028231009840965 | 2022-04-20 01:45:26.658
[rank:0] iter: 1100/1100, loss: 0.4449589848518372, latency(ms): 93.9159952849149704 | 2022-04-20 01:45:36.049