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: 0.5040853023529053, latency(ms): 159.9992205575108528 | 2022-04-26 09:57:44.349
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/26 09:57:44.381, Tesla V100-SXM2-32GB, 470.57.02, 49 %, 21 %, 32510 MiB, 28960 MiB, 3550 MiB
[rank:0] iter: 200/1100, loss: 0.4691331386566162, latency(ms): 116.9905911386013031 | 2022-04-26 09:57:56.048
[rank:0] iter: 300/1100, loss: 0.4631109535694122, latency(ms): 114.7006658092141151 | 2022-04-26 09:58:07.518
[rank:0] iter: 400/1100, loss: 0.4600253403186798, latency(ms): 118.5635133832693100 | 2022-04-26 09:58:19.374
[rank:0] iter: 500/1100, loss: 0.4571495950222015, latency(ms): 120.0290251523256302 | 2022-04-26 09:58:31.377
[rank:0] iter: 600/1100, loss: 0.4522027969360352, latency(ms): 123.1490993499755859 | 2022-04-26 09:58:43.692
[rank:0] iter: 700/1100, loss: 0.4466066062450409, latency(ms): 122.8176649287343025 | 2022-04-26 09:58:55.974
[rank:0] iter: 800/1100, loss: 0.4473391473293304, latency(ms): 122.4860746785998344 | 2022-04-26 09:59:08.222
[rank:0] iter: 900/1100, loss: 0.4467541575431824, latency(ms): 126.2407981976866722 | 2022-04-26 09:59:20.846
[rank:0] iter: 1000/1100, loss: 0.4463360607624054, latency(ms): 126.0074950009584427 | 2022-04-26 09:59:33.447
[rank:0] iter: 1100/1100, loss: 0.4463518559932709, latency(ms): 126.7279984429478645 | 2022-04-26 09:59:46.120