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: 0.4972261786460876, latency(ms): 142.1223863959312439 | 2022-04-12 01:42:17.655
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/12 01:42:17.677, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 25 %, 32510 MiB, 29410 MiB, 3100 MiB
[rank:0] iter: 200/1100, loss: 0.4676012098789215, latency(ms): 95.9392986446619034 | 2022-04-12 01:42:27.249
[rank:0] iter: 300/1100, loss: 0.4618898332118988, latency(ms): 95.0304796546697617 | 2022-04-12 01:42:36.752
[rank:0] iter: 400/1100, loss: 0.4591701030731201, latency(ms): 94.9249757453799248 | 2022-04-12 01:42:46.245
[rank:0] iter: 500/1100, loss: 0.4563820362091064, latency(ms): 97.0692986622452736 | 2022-04-12 01:42:55.952
[rank:0] iter: 600/1100, loss: 0.4524791240692139, latency(ms): 93.9166061207652092 | 2022-04-12 01:43:05.343
[rank:0] iter: 700/1100, loss: 0.4466495811939240, latency(ms): 93.0943072214722633 | 2022-04-12 01:43:14.653
[rank:0] iter: 800/1100, loss: 0.4462765753269196, latency(ms): 91.9252802804112434 | 2022-04-12 01:43:23.845
[rank:0] iter: 900/1100, loss: 0.4455322027206421, latency(ms): 93.9212904125452042 | 2022-04-12 01:43:33.237
[rank:0] iter: 1000/1100, loss: 0.4451673924922943, latency(ms): 94.1091283410787582 | 2022-04-12 01:43:42.648
[rank:0] iter: 1100/1100, loss: 0.4448700249195099, latency(ms): 92.0133620873093605 | 2022-04-12 01:43:51.850