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: 0.4977750480175018, latency(ms): 134.8852526769042015 | 2022-04-07 01:40:47.057
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/07 01:40:47.074, Tesla V100-SXM2-32GB, 470.57.02, 78 %, 29 %, 32510 MiB, 29628 MiB, 2882 MiB
[rank:0] iter: 200/1100, loss: 0.4680311679840088, latency(ms): 89.9867735058069229 | 2022-04-07 01:40:56.056
[rank:0] iter: 300/1100, loss: 0.4620690941810608, latency(ms): 89.0221673250198364 | 2022-04-07 01:41:04.958
[rank:0] iter: 400/1100, loss: 0.4592364132404327, latency(ms): 89.9476950243115425 | 2022-04-07 01:41:13.953
[rank:0] iter: 500/1100, loss: 0.4563583731651306, latency(ms): 89.8852177336812019 | 2022-04-07 01:41:22.942
[rank:0] iter: 600/1100, loss: 0.4525024294853210, latency(ms): 92.8031477332115173 | 2022-04-07 01:41:32.222
[rank:0] iter: 700/1100, loss: 0.4467394948005676, latency(ms): 95.1979782432317734 | 2022-04-07 01:41:41.742
[rank:0] iter: 800/1100, loss: 0.4463820755481720, latency(ms): 92.1527929231524467 | 2022-04-07 01:41:50.957
[rank:0] iter: 900/1100, loss: 0.4455701708793640, latency(ms): 92.0172369480133057 | 2022-04-07 01:42:00.159
[rank:0] iter: 1000/1100, loss: 0.4451629221439362, latency(ms): 92.0961451530456543 | 2022-04-07 01:42:09.368
[rank:0] iter: 1100/1100, loss: 0.4449743330478668, latency(ms): 93.8209587708115578 | 2022-04-07 01:42:18.750