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: 0.5258500576019287, latency(ms): 41.6569763794541359 | 2022-04-22 12:04:48.329
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/22 12:04:48.359, Tesla V100-SXM2-32GB, 470.57.02, 88 %, 82 %, 32510 MiB, 30676 MiB, 1834 MiB
[rank:0] iter: 200/1100, loss: 0.4986810982227325, latency(ms): 4.2727966606616974 | 2022-04-22 12:04:48.756
[rank:0] iter: 300/1100, loss: 0.4969182908535004, latency(ms): 4.0360816195607185 | 2022-04-22 12:04:49.160
[rank:0] iter: 400/1100, loss: 0.4914986491203308, latency(ms): 4.0162123739719391 | 2022-04-22 12:04:49.562
[rank:0] iter: 500/1100, loss: 0.4934151470661163, latency(ms): 4.0281934291124344 | 2022-04-22 12:04:49.964
[rank:0] iter: 600/1100, loss: 0.4816269278526306, latency(ms): 4.0401805192232132 | 2022-04-22 12:04:50.368
[rank:0] iter: 700/1100, loss: 0.4867962002754211, latency(ms): 4.1413633152842522 | 2022-04-22 12:04:50.783
[rank:0] iter: 800/1100, loss: 0.4860785007476807, latency(ms): 4.1885951906442642 | 2022-04-22 12:04:51.201
[rank:0] iter: 900/1100, loss: 0.4849512577056885, latency(ms): 4.0964038670063019 | 2022-04-22 12:04:51.611
[rank:0] iter: 1000/1100, loss: 0.4819041490554810, latency(ms): 4.0904533118009567 | 2022-04-22 12:04:52.020
[rank:0] iter: 1100/1100, loss: 0.4835155606269836, latency(ms): 4.1161972656846046 | 2022-04-22 12:04:52.432