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 ............................................. 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: 0.5274769067764282, latency(ms): 42.0396624132990837 | 2022-04-17 01:45:22.369
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/17 01:45:23.672, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30682 MiB, 1828 MiB
[rank:0] iter: 200/1100, loss: 0.4998167157173157, latency(ms): 17.0617357268929482 | 2022-04-17 01:45:24.075
[rank:0] iter: 300/1100, loss: 0.4963690936565399, latency(ms): 3.9332887902855873 | 2022-04-17 01:45:24.468
[rank:0] iter: 400/1100, loss: 0.4918946325778961, latency(ms): 3.9904119819402695 | 2022-04-17 01:45:24.867
[rank:0] iter: 500/1100, loss: 0.4940076172351837, latency(ms): 3.9613148197531700 | 2022-04-17 01:45:25.263
[rank:0] iter: 600/1100, loss: 0.4820873737335205, latency(ms): 3.9355253800749779 | 2022-04-17 01:45:25.657
[rank:0] iter: 700/1100, loss: 0.4858639538288116, latency(ms): 4.0458487346768379 | 2022-04-17 01:45:26.061
[rank:0] iter: 800/1100, loss: 0.4849281311035156, latency(ms): 4.0182917192578316 | 2022-04-17 01:45:26.463
[rank:0] iter: 900/1100, loss: 0.4856963753700256, latency(ms): 4.0479928255081177 | 2022-04-17 01:45:26.868
[rank:0] iter: 1000/1100, loss: 0.4814604818820953, latency(ms): 4.1085491329431534 | 2022-04-17 01:45:27.279
[rank:0] iter: 1100/1100, loss: 0.4831045866012573, latency(ms): 3.9786244928836823 | 2022-04-17 01:45:27.677