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: 0.5257232785224915, latency(ms): 45.1708357036113739 | 2022-04-07 01:45:45.102
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/07 01:45:45.132, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 96 %, 32510 MiB, 30708 MiB, 1802 MiB
[rank:0] iter: 200/1100, loss: 0.4990411400794983, latency(ms): 4.4391896575689316 | 2022-04-07 01:45:45.546
[rank:0] iter: 300/1100, loss: 0.4970517754554749, latency(ms): 4.0940987318754196 | 2022-04-07 01:45:45.956
[rank:0] iter: 400/1100, loss: 0.4914290606975555, latency(ms): 4.0564505755901337 | 2022-04-07 01:45:46.361
[rank:0] iter: 500/1100, loss: 0.4942444264888763, latency(ms): 4.0350989624857903 | 2022-04-07 01:45:46.765
[rank:0] iter: 600/1100, loss: 0.4816843867301941, latency(ms): 4.0691125020384789 | 2022-04-07 01:45:47.172
[rank:0] iter: 700/1100, loss: 0.4853841662406921, latency(ms): 4.2168826237320900 | 2022-04-07 01:45:47.593
[rank:0] iter: 800/1100, loss: 0.4866360127925873, latency(ms): 4.1648088768124580 | 2022-04-07 01:45:48.010
[rank:0] iter: 900/1100, loss: 0.4854436516761780, latency(ms): 4.0408758819103241 | 2022-04-07 01:45:48.414
[rank:0] iter: 1000/1100, loss: 0.4820010066032410, latency(ms): 4.0840426832437515 | 2022-04-07 01:45:48.822
[rank:0] iter: 1100/1100, loss: 0.4833009839057922, latency(ms): 4.2737284675240517 | 2022-04-07 01:45:49.250