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: 0.5245211720466614, latency(ms): 42.6642301306128502 | 2022-04-18 01:57:32.942
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/18 01:57:32.971, Tesla V100-SXM2-32GB, 470.57.02, 67 %, 14 %, 32510 MiB, 31040 MiB, 1470 MiB
[rank:0] iter: 200/1100, loss: 0.4997598230838776, latency(ms): 1.4469332620501518 | 2022-04-18 01:57:33.087
[rank:0] iter: 300/1100, loss: 0.4972354173660278, latency(ms): 1.6844531148672104 | 2022-04-18 01:57:33.255
[rank:0] iter: 400/1100, loss: 0.4920753538608551, latency(ms): 1.2133450806140900 | 2022-04-18 01:57:33.377
[rank:0] iter: 500/1100, loss: 0.4947159588336945, latency(ms): 1.6564707830548286 | 2022-04-18 01:57:33.542
[rank:0] iter: 600/1100, loss: 0.4828291833400726, latency(ms): 1.3638677820563316 | 2022-04-18 01:57:33.679
[rank:0] iter: 700/1100, loss: 0.4873084723949432, latency(ms): 1.6870287805795670 | 2022-04-18 01:57:33.847
[rank:0] iter: 800/1100, loss: 0.4868708550930023, latency(ms): 1.3614179939031601 | 2022-04-18 01:57:33.984
[rank:0] iter: 900/1100, loss: 0.4857391715049744, latency(ms): 1.6266785562038422 | 2022-04-18 01:57:34.146
[rank:0] iter: 1000/1100, loss: 0.4830507636070251, latency(ms): 1.3298675045371056 | 2022-04-18 01:57:34.279
[rank:0] iter: 1100/1100, loss: 0.4835943579673767, latency(ms): 1.7107033357024193 | 2022-04-18 01:57:34.450