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 ............................................. 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: 0.4981735944747925, latency(ms): 139.7621243819594383 | 2022-04-09 01:48:20.128
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/09 01:48:20.150, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 25 %, 32510 MiB, 29372 MiB, 3138 MiB
[rank:0] iter: 200/1100, loss: 0.4680592715740204, latency(ms): 88.2339160144329071 | 2022-04-09 01:48:28.952
[rank:0] iter: 300/1100, loss: 0.4621512293815613, latency(ms): 90.0647795200347900 | 2022-04-09 01:48:37.958
[rank:0] iter: 400/1100, loss: 0.4593131244182587, latency(ms): 87.9846791923046112 | 2022-04-09 01:48:46.757
[rank:0] iter: 500/1100, loss: 0.4564015269279480, latency(ms): 88.9345240220427513 | 2022-04-09 01:48:55.650
[rank:0] iter: 600/1100, loss: 0.4525636434555054, latency(ms): 90.4310743883252144 | 2022-04-09 01:49:04.693
[rank:0] iter: 700/1100, loss: 0.4469128847122192, latency(ms): 89.5178545266389847 | 2022-04-09 01:49:13.645
[rank:0] iter: 800/1100, loss: 0.4465397000312805, latency(ms): 88.7693236023187637 | 2022-04-09 01:49:22.522
[rank:0] iter: 900/1100, loss: 0.4458039402961731, latency(ms): 88.3391416072845459 | 2022-04-09 01:49:31.356
[rank:0] iter: 1000/1100, loss: 0.4453073740005493, latency(ms): 91.8585380539298058 | 2022-04-09 01:49:40.542
[rank:0] iter: 1100/1100, loss: 0.4451114535331726, latency(ms): 92.0782014727592468 | 2022-04-09 01:49:49.749