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 ............................................. 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: 0.5050751566886902, latency(ms): 171.5419942885637283 | 2022-04-17 01:45:57.421
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/17 01:45:57.441, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 15 %, 32510 MiB, 28966 MiB, 3544 MiB
[rank:0] iter: 200/1100, loss: 0.4703831970691681, latency(ms): 118.9880446344614029 | 2022-04-17 01:46:09.320
[rank:0] iter: 300/1100, loss: 0.4636291265487671, latency(ms): 115.1177936047315598 | 2022-04-17 01:46:20.832
[rank:0] iter: 400/1100, loss: 0.4603521227836609, latency(ms): 115.5550931021571159 | 2022-04-17 01:46:32.387
[rank:0] iter: 500/1100, loss: 0.4573519527912140, latency(ms): 116.0918967798352242 | 2022-04-17 01:46:43.997
[rank:0] iter: 600/1100, loss: 0.4525560140609741, latency(ms): 118.9132184535264969 | 2022-04-17 01:46:55.888
[rank:0] iter: 700/1100, loss: 0.4469982087612152, latency(ms): 116.8276920169591904 | 2022-04-17 01:47:07.571
[rank:0] iter: 800/1100, loss: 0.4478566646575928, latency(ms): 117.7858658134937286 | 2022-04-17 01:47:19.349
[rank:0] iter: 900/1100, loss: 0.4471335709095001, latency(ms): 121.3320818543434143 | 2022-04-17 01:47:31.482
[rank:0] iter: 1000/1100, loss: 0.4465948343276978, latency(ms): 127.0487673953175545 | 2022-04-17 01:47:44.187
[rank:0] iter: 1100/1100, loss: 0.4466903805732727, latency(ms): 124.5893486589193344 | 2022-04-17 01:47:56.646