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 ............................................. 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: 0.4950054287910461, latency(ms): 226.9432780146598816 | 2022-04-14 01:44:39.562
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/14 01:44:39.582, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 26 %, 32510 MiB, 27770 MiB, 4740 MiB
[rank:0] iter: 200/1100, loss: 0.4646602571010590, latency(ms): 173.9753500744700432 | 2022-04-14 01:44:56.959
[rank:0] iter: 300/1100, loss: 0.4579826593399048, latency(ms): 179.0079228579998016 | 2022-04-14 01:45:14.860
[rank:0] iter: 400/1100, loss: 0.4501131772994995, latency(ms): 180.1458540931344032 | 2022-04-14 01:45:32.875
[rank:0] iter: 500/1100, loss: 0.4483321011066437, latency(ms): 182.9960842058062553 | 2022-04-14 01:45:51.174
[rank:0] iter: 600/1100, loss: 0.4440169930458069, latency(ms): 159.9542268365621567 | 2022-04-14 01:46:07.170
[rank:0] iter: 700/1100, loss: 0.4373885393142700, latency(ms): 159.0702449157834053 | 2022-04-14 01:46:23.077
[rank:0] iter: 800/1100, loss: 0.4381861984729767, latency(ms): 159.9588845670223236 | 2022-04-14 01:46:39.073
[rank:0] iter: 900/1100, loss: 0.4306959807872772, latency(ms): 160.8661655336618423 | 2022-04-14 01:46:55.159
[rank:0] iter: 1000/1100, loss: 0.4264515936374664, latency(ms): 164.1409977152943611 | 2022-04-14 01:47:11.573
[rank:0] iter: 1100/1100, loss: 0.4275989234447479, latency(ms): 163.8508487120270729 | 2022-04-14 01:47:27.958