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 ............................................. 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: 0.5034423470497131, latency(ms): 351.7154342681169510 | 2022-05-03 01:50:57.250
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/03 01:50:57.269, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 27086 MiB, 5424 MiB
[rank:0] iter: 200/1100, loss: 0.4682642817497253, latency(ms): 301.8969857692718506 | 2022-05-03 01:51:27.440
[rank:0] iter: 300/1100, loss: 0.4600292146205902, latency(ms): 305.1140914112329483 | 2022-05-03 01:51:57.951
[rank:0] iter: 400/1100, loss: 0.4521090686321259, latency(ms): 301.9037883356213570 | 2022-05-03 01:52:28.142
[rank:0] iter: 500/1100, loss: 0.4508095085620880, latency(ms): 303.0951804667711258 | 2022-05-03 01:52:58.451
[rank:0] iter: 600/1100, loss: 0.4456867277622223, latency(ms): 302.1364787966012955 | 2022-05-03 01:53:28.665
[rank:0] iter: 700/1100, loss: 0.4399378597736359, latency(ms): 301.9837250933051109 | 2022-05-03 01:53:58.863
[rank:0] iter: 800/1100, loss: 0.4415576159954071, latency(ms): 299.8691634088754654 | 2022-05-03 01:54:28.850
[rank:0] iter: 900/1100, loss: 0.4334352910518646, latency(ms): 300.0703565403819084 | 2022-05-03 01:54:58.857
[rank:0] iter: 1000/1100, loss: 0.4304755330085754, latency(ms): 301.0033228993415833 | 2022-05-03 01:55:28.957
[rank:0] iter: 1100/1100, loss: 0.4325155615806580, latency(ms): 303.2673561573028564 | 2022-05-03 01:55:59.284