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 ............................................. 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: 0.5237421393394470, latency(ms): 42.8861714154481888 | 2022-04-22 11:59:22.154
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/22 11:59:22.176, Tesla V100-SXM2-32GB, 470.57.02, 8 %, 2 %, 32510 MiB, 31034 MiB, 1476 MiB
[rank:0] iter: 200/1100, loss: 0.4998246133327484, latency(ms): 1.3783301040530205 | 2022-04-22 11:59:22.292
[rank:0] iter: 300/1100, loss: 0.4989339411258698, latency(ms): 1.4266761764883995 | 2022-04-22 11:59:22.435
[rank:0] iter: 400/1100, loss: 0.4922470450401306, latency(ms): 1.2696956470608711 | 2022-04-22 11:59:22.562
[rank:0] iter: 500/1100, loss: 0.4952491819858551, latency(ms): 1.2708731368184090 | 2022-04-22 11:59:22.689
[rank:0] iter: 600/1100, loss: 0.4834514558315277, latency(ms): 1.4896889775991440 | 2022-04-22 11:59:22.838
[rank:0] iter: 700/1100, loss: 0.4864006042480469, latency(ms): 1.2581172958016396 | 2022-04-22 11:59:22.964
[rank:0] iter: 800/1100, loss: 0.4876592755317688, latency(ms): 1.6297331452369690 | 2022-04-22 11:59:23.127
[rank:0] iter: 900/1100, loss: 0.4852289557456970, latency(ms): 1.3174091279506683 | 2022-04-22 11:59:23.258
[rank:0] iter: 1000/1100, loss: 0.4830440282821655, latency(ms): 1.6929285973310471 | 2022-04-22 11:59:23.428
[rank:0] iter: 1100/1100, loss: 0.4828550815582275, latency(ms): 1.3540359959006310 | 2022-04-22 11:59:23.563