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: 0.4979749619960785, latency(ms): 133.9736260101199150 | 2022-05-16 01:42:33.156
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/16 01:42:33.177, Tesla V100-SXM2-32GB, 470.57.02, 47 %, 18 %, 32510 MiB, 29404 MiB, 3106 MiB
[rank:0] iter: 200/1100, loss: 0.4676579535007477, latency(ms): 95.0187423825263977 | 2022-05-16 01:42:42.658
[rank:0] iter: 300/1100, loss: 0.4619339108467102, latency(ms): 96.3708306103944778 | 2022-05-16 01:42:52.295
[rank:0] iter: 400/1100, loss: 0.4591425657272339, latency(ms): 95.5731326341629028 | 2022-05-16 01:43:01.852
[rank:0] iter: 500/1100, loss: 0.4563502073287964, latency(ms): 93.9901246875524521 | 2022-05-16 01:43:11.251
[rank:0] iter: 600/1100, loss: 0.4524191319942474, latency(ms): 94.0528552234172821 | 2022-05-16 01:43:20.656
[rank:0] iter: 700/1100, loss: 0.4465795457363129, latency(ms): 93.8841138780117035 | 2022-05-16 01:43:30.045
[rank:0] iter: 800/1100, loss: 0.4462056457996368, latency(ms): 92.0473811402916908 | 2022-05-16 01:43:39.249
[rank:0] iter: 900/1100, loss: 0.4455555379390717, latency(ms): 97.4400097876787186 | 2022-05-16 01:43:48.993
[rank:0] iter: 1000/1100, loss: 0.4452179968357086, latency(ms): 91.6125559434294701 | 2022-05-16 01:43:58.155
[rank:0] iter: 1100/1100, loss: 0.4448972344398499, latency(ms): 96.9868524000048637 | 2022-05-16 01:44:07.853