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 ...................................... 512
  batch_size_per_proc ............................. 512
  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: 0.5264852643013000, latency(ms): 40.7820046693086624 | 2022-04-29 01:46:50.559
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/29 01:46:50.580, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 96 %, 32510 MiB, 30676 MiB, 1834 MiB
[rank:0] iter: 200/1100, loss: 0.4991555809974670, latency(ms): 4.1384416073560715 | 2022-04-29 01:46:50.973
[rank:0] iter: 300/1100, loss: 0.4972223341464996, latency(ms): 4.0091211348772049 | 2022-04-29 01:46:51.374
[rank:0] iter: 400/1100, loss: 0.4920168817043304, latency(ms): 3.9997053518891335 | 2022-04-29 01:46:51.774
[rank:0] iter: 500/1100, loss: 0.4930751025676727, latency(ms): 4.0222520753741264 | 2022-04-29 01:46:52.176
[rank:0] iter: 600/1100, loss: 0.4820867776870728, latency(ms): 3.9476734772324562 | 2022-04-29 01:46:52.571
[rank:0] iter: 700/1100, loss: 0.4861586093902588, latency(ms): 4.0818781033158302 | 2022-04-29 01:46:52.979
[rank:0] iter: 800/1100, loss: 0.4856950342655182, latency(ms): 4.2299896851181984 | 2022-04-29 01:46:53.402
[rank:0] iter: 900/1100, loss: 0.4851262271404266, latency(ms): 4.0755658969283104 | 2022-04-29 01:46:53.810
[rank:0] iter: 1000/1100, loss: 0.4814702570438385, latency(ms): 4.0403623878955841 | 2022-04-29 01:46:54.214
[rank:0] iter: 1100/1100, loss: 0.4821057021617889, latency(ms): 4.0779852867126465 | 2022-04-29 01:46:54.621