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: 0.4977685511112213, latency(ms): 130.8747591823339462 | 2022-05-26 01:44:37.351
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/26 01:44:37.383, Tesla V100-SXM2-32GB, 470.57.02, 57 %, 21 %, 32510 MiB, 29654 MiB, 2856 MiB
[rank:0] iter: 200/1100, loss: 0.4677065610885620, latency(ms): 88.6596668139100075 | 2022-05-26 01:44:46.217
[rank:0] iter: 300/1100, loss: 0.4618442952632904, latency(ms): 90.2002141624689102 | 2022-05-26 01:44:55.237
[rank:0] iter: 400/1100, loss: 0.4590044021606445, latency(ms): 89.1254296153783798 | 2022-05-26 01:45:04.150
[rank:0] iter: 500/1100, loss: 0.4562331438064575, latency(ms): 90.9746691212058067 | 2022-05-26 01:45:13.247
[rank:0] iter: 600/1100, loss: 0.4523032903671265, latency(ms): 90.7288707420229912 | 2022-05-26 01:45:22.320
[rank:0] iter: 700/1100, loss: 0.4466717243194580, latency(ms): 91.3016784936189651 | 2022-05-26 01:45:31.450
[rank:0] iter: 800/1100, loss: 0.4462237656116486, latency(ms): 90.0277410075068474 | 2022-05-26 01:45:40.453
[rank:0] iter: 900/1100, loss: 0.4455040395259857, latency(ms): 90.9147738292813301 | 2022-05-26 01:45:49.545
[rank:0] iter: 1000/1100, loss: 0.4451279342174530, latency(ms): 91.0656272247433662 | 2022-05-26 01:45:58.651
[rank:0] iter: 1100/1100, loss: 0.4448852837085724, latency(ms): 92.0122049748897552 | 2022-05-26 01:46:07.852