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: 0.5046730637550354, latency(ms): 172.7188012376427650 | 2022-05-20 02:12:26.386
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/20 02:12:26.422, Tesla V100-SXM2-32GB, 470.57.02, 33 %, 14 %, 32510 MiB, 28954 MiB, 3556 MiB
[rank:0] iter: 200/1100, loss: 0.4712718725204468, latency(ms): 123.2927728816866875 | 2022-05-20 02:12:38.716
[rank:0] iter: 300/1100, loss: 0.4638045132160187, latency(ms): 127.2245171293616295 | 2022-05-20 02:12:51.438
[rank:0] iter: 400/1100, loss: 0.4605107605457306, latency(ms): 128.4707291424274445 | 2022-05-20 02:13:04.285
[rank:0] iter: 500/1100, loss: 0.4575872719287872, latency(ms): 132.6017883047461510 | 2022-05-20 02:13:17.545
[rank:0] iter: 600/1100, loss: 0.4525292515754700, latency(ms): 130.0502594187855721 | 2022-05-20 02:13:30.550
[rank:0] iter: 700/1100, loss: 0.4468969106674194, latency(ms): 127.6626415178179741 | 2022-05-20 02:13:43.317
[rank:0] iter: 800/1100, loss: 0.4477487206459045, latency(ms): 132.3946003243327141 | 2022-05-20 02:13:56.556
[rank:0] iter: 900/1100, loss: 0.4469693303108215, latency(ms): 134.3370245397090912 | 2022-05-20 02:14:09.990
[rank:0] iter: 1000/1100, loss: 0.4464828968048096, latency(ms): 132.6812754943966866 | 2022-05-20 02:14:23.258
[rank:0] iter: 1100/1100, loss: 0.4465940892696381, latency(ms): 133.4914101287722588 | 2022-05-20 02:14:36.607