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: 0.4975750744342804, latency(ms): 140.9515460953116417 | 2022-04-12 17:03:45.253
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/12 17:03:45.272, Tesla V100-SXM2-32GB, 470.57.02, 51 %, 19 %, 32510 MiB, 29474 MiB, 3036 MiB
[rank:0] iter: 200/1100, loss: 0.4676058888435364, latency(ms): 93.0257260054349899 | 2022-04-12 17:03:54.556
[rank:0] iter: 300/1100, loss: 0.4618660807609558, latency(ms): 88.2956228032708168 | 2022-04-12 17:04:03.385
[rank:0] iter: 400/1100, loss: 0.4591818749904633, latency(ms): 85.7136065885424614 | 2022-04-12 17:04:11.957
[rank:0] iter: 500/1100, loss: 0.4563538730144501, latency(ms): 88.8576381281018257 | 2022-04-12 17:04:20.843
[rank:0] iter: 600/1100, loss: 0.4524643421173096, latency(ms): 87.1214451640844345 | 2022-04-12 17:04:29.555
[rank:0] iter: 700/1100, loss: 0.4466788172721863, latency(ms): 91.8956498429179192 | 2022-04-12 17:04:38.744
[rank:0] iter: 800/1100, loss: 0.4464006125926971, latency(ms): 90.0977041572332382 | 2022-04-12 17:04:47.754
[rank:0] iter: 900/1100, loss: 0.4455879628658295, latency(ms): 89.0324172377586365 | 2022-04-12 17:04:56.657
[rank:0] iter: 1000/1100, loss: 0.4451457262039185, latency(ms): 89.9212526157498360 | 2022-04-12 17:05:05.649
[rank:0] iter: 1100/1100, loss: 0.4448216259479523, latency(ms): 91.9873331487178802 | 2022-04-12 17:05:14.848