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: 0.4982604682445526, latency(ms): 138.4261288866400719 | 2022-04-04 01:39:31.730
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/04 01:39:31.757, Tesla V100-SXM2-32GB, 470.57.02, 57 %, 21 %, 32510 MiB, 29372 MiB, 3138 MiB
[rank:0] iter: 200/1100, loss: 0.4679577946662903, latency(ms): 88.2433281093835831 | 2022-04-04 01:39:40.555
[rank:0] iter: 300/1100, loss: 0.4620864391326904, latency(ms): 89.4090893864631653 | 2022-04-04 01:39:49.496
[rank:0] iter: 400/1100, loss: 0.4592936038970947, latency(ms): 88.6303048580884933 | 2022-04-04 01:39:58.359
[rank:0] iter: 500/1100, loss: 0.4564265906810760, latency(ms): 90.9934326633810997 | 2022-04-04 01:40:07.458
[rank:0] iter: 600/1100, loss: 0.4525941610336304, latency(ms): 91.9204262644052505 | 2022-04-04 01:40:16.650
[rank:0] iter: 700/1100, loss: 0.4467476904392242, latency(ms): 90.3043992817401886 | 2022-04-04 01:40:25.680
[rank:0] iter: 800/1100, loss: 0.4464675188064575, latency(ms): 90.6552923470735550 | 2022-04-04 01:40:34.746
[rank:0] iter: 900/1100, loss: 0.4456267058849335, latency(ms): 89.0870014950633049 | 2022-04-04 01:40:43.655
[rank:0] iter: 1000/1100, loss: 0.4451876878738403, latency(ms): 90.0253576412796974 | 2022-04-04 01:40:52.657
[rank:0] iter: 1100/1100, loss: 0.4450177848339081, latency(ms): 94.9831146001815796 | 2022-04-04 01:41:02.156