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: 0.4968533217906952, latency(ms): 133.8377485796809196 | 2022-05-07 01:43:21.162
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/07 01:43:21.186, Tesla V100-SXM2-32GB, 470.57.02, 53 %, 21 %, 32510 MiB, 29404 MiB, 3106 MiB
[rank:0] iter: 200/1100, loss: 0.4676292836666107, latency(ms): 96.9282665103673935 | 2022-05-07 01:43:30.855
[rank:0] iter: 300/1100, loss: 0.4619733393192291, latency(ms): 95.0080327317118645 | 2022-05-07 01:43:40.356
[rank:0] iter: 400/1100, loss: 0.4590580463409424, latency(ms): 96.9942810013890266 | 2022-05-07 01:43:50.055
[rank:0] iter: 500/1100, loss: 0.4562166333198547, latency(ms): 97.9920103773474693 | 2022-05-07 01:43:59.854
[rank:0] iter: 600/1100, loss: 0.4523171484470367, latency(ms): 95.9695898741483688 | 2022-05-07 01:44:09.451
[rank:0] iter: 700/1100, loss: 0.4466384649276733, latency(ms): 96.0521144792437553 | 2022-05-07 01:44:19.057
[rank:0] iter: 800/1100, loss: 0.4462698400020599, latency(ms): 95.9780520945787430 | 2022-05-07 01:44:28.654
[rank:0] iter: 900/1100, loss: 0.4454386830329895, latency(ms): 97.0366875827312469 | 2022-05-07 01:44:38.358
[rank:0] iter: 1000/1100, loss: 0.4450603723526001, latency(ms): 96.9639215990900993 | 2022-05-07 01:44:48.055
[rank:0] iter: 1100/1100, loss: 0.4448533356189728, latency(ms): 97.0190138742327690 | 2022-05-07 01:44:57.756