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 ............................................. True
  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 .................................. eager
  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: 0.5054194927215576, latency(ms): 168.9512592554092407 | 2022-04-04 01:44:44.060
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/04 01:44:44.076, Tesla V100-SXM2-32GB, 470.57.02, 34 %, 14 %, 32510 MiB, 28992 MiB, 3518 MiB
[rank:0] iter: 200/1100, loss: 0.4713886678218842, latency(ms): 116.8290089443325996 | 2022-04-04 01:44:55.743
[rank:0] iter: 300/1100, loss: 0.4639168083667755, latency(ms): 117.4679319560527802 | 2022-04-04 01:45:07.489
[rank:0] iter: 400/1100, loss: 0.4606888890266418, latency(ms): 121.5182028710842133 | 2022-04-04 01:45:19.641
[rank:0] iter: 500/1100, loss: 0.4576487839221954, latency(ms): 124.7549886256456375 | 2022-04-04 01:45:32.117
[rank:0] iter: 600/1100, loss: 0.4526792764663696, latency(ms): 124.4940089434385300 | 2022-04-04 01:45:44.566
[rank:0] iter: 700/1100, loss: 0.4471619129180908, latency(ms): 123.5263812541961670 | 2022-04-04 01:45:56.919
[rank:0] iter: 800/1100, loss: 0.4479301571846008, latency(ms): 123.0958628654479980 | 2022-04-04 01:46:09.228
[rank:0] iter: 900/1100, loss: 0.4470926523208618, latency(ms): 126.6964391246438026 | 2022-04-04 01:46:21.898
[rank:0] iter: 1000/1100, loss: 0.4467127919197083, latency(ms): 125.1492295041680336 | 2022-04-04 01:46:34.413
[rank:0] iter: 1100/1100, loss: 0.4467664957046509, latency(ms): 128.6533263325691223 | 2022-04-04 01:46:47.278