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: 0.4979416131973267, latency(ms): 144.9621257185935974 | 2022-04-22 11:59:42.253
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/22 11:59:42.272, Tesla V100-SXM2-32GB, 470.57.02, 45 %, 17 %, 32510 MiB, 29404 MiB, 3106 MiB
[rank:0] iter: 200/1100, loss: 0.4674952030181885, latency(ms): 94.9379795789718628 | 2022-04-22 11:59:51.746
[rank:0] iter: 300/1100, loss: 0.4618738293647766, latency(ms): 90.9719262272119522 | 2022-04-22 12:00:00.844
[rank:0] iter: 400/1100, loss: 0.4592694938182831, latency(ms): 93.0610368400812149 | 2022-04-22 12:00:10.150
[rank:0] iter: 500/1100, loss: 0.4564749598503113, latency(ms): 91.9893937930464745 | 2022-04-22 12:00:19.349
[rank:0] iter: 600/1100, loss: 0.4525382518768311, latency(ms): 92.9803503304719925 | 2022-04-22 12:00:28.647
[rank:0] iter: 700/1100, loss: 0.4467921555042267, latency(ms): 93.0101104080677032 | 2022-04-22 12:00:37.948
[rank:0] iter: 800/1100, loss: 0.4463653862476349, latency(ms): 91.0153505206108093 | 2022-04-22 12:00:47.049
[rank:0] iter: 900/1100, loss: 0.4456208348274231, latency(ms): 90.0311139971017838 | 2022-04-22 12:00:56.052
[rank:0] iter: 1000/1100, loss: 0.4451761543750763, latency(ms): 92.9606212303042412 | 2022-04-22 12:01:05.348
[rank:0] iter: 1100/1100, loss: 0.4449769556522369, latency(ms): 89.9924052134156227 | 2022-04-22 12:01:14.348