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: 0.5042500495910645, latency(ms): 157.4700672551989555 | 2022-05-10 01:50:21.016
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/10 01:50:21.044, Tesla V100-SXM2-32GB, 470.57.02, 47 %, 21 %, 32510 MiB, 28960 MiB, 3550 MiB
[rank:0] iter: 200/1100, loss: 0.4694825708866119, latency(ms): 112.6075636222958565 | 2022-05-10 01:50:32.277
[rank:0] iter: 300/1100, loss: 0.4632610082626343, latency(ms): 113.2298737391829491 | 2022-05-10 01:50:43.600
[rank:0] iter: 400/1100, loss: 0.4601055979728699, latency(ms): 115.6448880210518837 | 2022-05-10 01:50:55.164
[rank:0] iter: 500/1100, loss: 0.4573072791099548, latency(ms): 116.0728326067328453 | 2022-05-10 01:51:06.771
[rank:0] iter: 600/1100, loss: 0.4523407816886902, latency(ms): 116.1934573948383331 | 2022-05-10 01:51:18.391
[rank:0] iter: 700/1100, loss: 0.4468291997909546, latency(ms): 116.0078857466578484 | 2022-05-10 01:51:29.991
[rank:0] iter: 800/1100, loss: 0.4475643932819366, latency(ms): 118.5201678425073624 | 2022-05-10 01:51:41.844
[rank:0] iter: 900/1100, loss: 0.4469254016876221, latency(ms): 121.4278478547930717 | 2022-05-10 01:51:53.986
[rank:0] iter: 1000/1100, loss: 0.4465247392654419, latency(ms): 124.3035522848367691 | 2022-05-10 01:52:06.417
[rank:0] iter: 1100/1100, loss: 0.4466172456741333, latency(ms): 125.4591944068670273 | 2022-05-10 01:52:18.963