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: 0.4980988204479218, latency(ms): 137.6760549843311310 | 2022-04-15 01:42:51.353
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/15 01:42:52.755, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29410 MiB, 3100 MiB
[rank:0] iter: 200/1100, loss: 0.4678848981857300, latency(ms): 108.9569305256009102 | 2022-04-15 01:43:02.249
[rank:0] iter: 300/1100, loss: 0.4620941281318665, latency(ms): 95.9865803644061089 | 2022-04-15 01:43:11.847
[rank:0] iter: 400/1100, loss: 0.4592780768871307, latency(ms): 94.9464450776576996 | 2022-04-15 01:43:21.342
[rank:0] iter: 500/1100, loss: 0.4564643800258636, latency(ms): 95.1082586124539375 | 2022-04-15 01:43:30.853
[rank:0] iter: 600/1100, loss: 0.4525231420993805, latency(ms): 93.8331177830696106 | 2022-04-15 01:43:40.236
[rank:0] iter: 700/1100, loss: 0.4468847513198853, latency(ms): 94.1288721561431885 | 2022-04-15 01:43:49.649
[rank:0] iter: 800/1100, loss: 0.4464374184608459, latency(ms): 94.3262924626469612 | 2022-04-15 01:43:59.081
[rank:0] iter: 900/1100, loss: 0.4456565082073212, latency(ms): 94.6979121118783951 | 2022-04-15 01:44:08.551
[rank:0] iter: 1000/1100, loss: 0.4452670216560364, latency(ms): 93.9927695319056511 | 2022-04-15 01:44:17.951
[rank:0] iter: 1100/1100, loss: 0.4450421929359436, latency(ms): 94.6554660052061081 | 2022-04-15 01:44:27.416