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 ............................................. 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: 0.5029291510581970, latency(ms): 370.6270514801144600 | 2022-04-09 01:56:14.750
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/09 01:56:14.775, Tesla V100-SXM2-32GB, 470.57.02, 26 %, 12 %, 32510 MiB, 27118 MiB, 5392 MiB
[rank:0] iter: 200/1100, loss: 0.4683542549610138, latency(ms): 303.7750075757503510 | 2022-04-09 01:56:45.127
[rank:0] iter: 300/1100, loss: 0.4603061974048615, latency(ms): 301.2992682680487633 | 2022-04-09 01:57:15.257
[rank:0] iter: 400/1100, loss: 0.4524663090705872, latency(ms): 304.0819296240806580 | 2022-04-09 01:57:45.665
[rank:0] iter: 500/1100, loss: 0.4511977434158325, latency(ms): 304.1682014241814613 | 2022-04-09 01:58:16.082
[rank:0] iter: 600/1100, loss: 0.4460854828357697, latency(ms): 301.5934176743030548 | 2022-04-09 01:58:46.242
[rank:0] iter: 700/1100, loss: 0.4403908252716064, latency(ms): 302.3024434596300125 | 2022-04-09 01:59:16.472
[rank:0] iter: 800/1100, loss: 0.4418733716011047, latency(ms): 301.9849474355578423 | 2022-04-09 01:59:46.670
[rank:0] iter: 900/1100, loss: 0.4338248968124390, latency(ms): 307.1045404672622681 | 2022-04-09 02:00:17.381
[rank:0] iter: 1000/1100, loss: 0.4308938086032867, latency(ms): 306.7365921661257744 | 2022-04-09 02:00:48.054
[rank:0] iter: 1100/1100, loss: 0.4328979551792145, latency(ms): 300.9927498549222946 | 2022-04-09 02:01:18.154