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 ...................................... 131072
  batch_size_per_proc ............................. 131072
  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: 0.4948401749134064, latency(ms): 233.0539426580071449 | 2022-04-10 01:41:54.759
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/10 01:41:54.782, Tesla V100-SXM2-32GB, 470.57.02, 46 %, 18 %, 32510 MiB, 27860 MiB, 4650 MiB
[rank:0] iter: 200/1100, loss: 0.4647798240184784, latency(ms): 169.2516548931598663 | 2022-04-10 01:42:11.684
[rank:0] iter: 300/1100, loss: 0.4579802751541138, latency(ms): 158.7616395577788353 | 2022-04-10 01:42:27.560
[rank:0] iter: 400/1100, loss: 0.4501823484897614, latency(ms): 157.9749852046370506 | 2022-04-10 01:42:43.358
[rank:0] iter: 500/1100, loss: 0.4484390020370483, latency(ms): 157.1702475100755692 | 2022-04-10 01:42:59.075
[rank:0] iter: 600/1100, loss: 0.4440211057662964, latency(ms): 158.8221788033843040 | 2022-04-10 01:43:14.957
[rank:0] iter: 700/1100, loss: 0.4375630617141724, latency(ms): 156.2059921026229858 | 2022-04-10 01:43:30.577
[rank:0] iter: 800/1100, loss: 0.4382709264755249, latency(ms): 156.9985600560903549 | 2022-04-10 01:43:46.277
[rank:0] iter: 900/1100, loss: 0.4308421313762665, latency(ms): 175.4326451197266579 | 2022-04-10 01:44:03.820
[rank:0] iter: 1000/1100, loss: 0.4267171025276184, latency(ms): 169.3952075764536858 | 2022-04-10 01:44:20.760
[rank:0] iter: 1100/1100, loss: 0.4277520477771759, latency(ms): 170.1692035049200058 | 2022-04-10 01:44:37.777