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 ............................................. 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: 0.5029472112655640, latency(ms): 375.9575886279344559 | 2022-04-10 01:47:52.143
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/10 01:47:52.167, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 27118 MiB, 5392 MiB
[rank:0] iter: 200/1100, loss: 0.4679496884346008, latency(ms): 301.9744658842682838 | 2022-04-10 01:48:22.340
[rank:0] iter: 300/1100, loss: 0.4599775671958923, latency(ms): 300.1542752236127853 | 2022-04-10 01:48:52.356
[rank:0] iter: 400/1100, loss: 0.4521933794021606, latency(ms): 299.7201455757021904 | 2022-04-10 01:49:22.328
[rank:0] iter: 500/1100, loss: 0.4509243667125702, latency(ms): 301.2754169851541519 | 2022-04-10 01:49:52.455
[rank:0] iter: 600/1100, loss: 0.4458101689815521, latency(ms): 302.8925383836030960 | 2022-04-10 01:50:22.744
[rank:0] iter: 700/1100, loss: 0.4401208162307739, latency(ms): 301.3214644417166710 | 2022-04-10 01:50:52.877
[rank:0] iter: 800/1100, loss: 0.4416161477565765, latency(ms): 301.8063875287771225 | 2022-04-10 01:51:23.057
[rank:0] iter: 900/1100, loss: 0.4336809515953064, latency(ms): 301.1341366916894913 | 2022-04-10 01:51:53.171
[rank:0] iter: 1000/1100, loss: 0.4307038784027100, latency(ms): 300.8840232342481613 | 2022-04-10 01:52:23.259
[rank:0] iter: 1100/1100, loss: 0.4327529668807983, latency(ms): 304.9636992067098618 | 2022-04-10 01:52:53.755