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: 0.4981847703456879, latency(ms): 132.9142966493964195 | 2022-05-03 01:43:03.061
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/03 01:43:03.085, Tesla V100-SXM2-32GB, 470.57.02, 44 %, 17 %, 32510 MiB, 29660 MiB, 2850 MiB
[rank:0] iter: 200/1100, loss: 0.4676748216152191, latency(ms): 95.9450048953294754 | 2022-05-03 01:43:12.656
[rank:0] iter: 300/1100, loss: 0.4620018005371094, latency(ms): 93.9687711372971535 | 2022-05-03 01:43:22.053
[rank:0] iter: 400/1100, loss: 0.4593192934989929, latency(ms): 94.0367462486028671 | 2022-05-03 01:43:31.456
[rank:0] iter: 500/1100, loss: 0.4565035700798035, latency(ms): 95.9468114003539085 | 2022-05-03 01:43:41.051
[rank:0] iter: 600/1100, loss: 0.4526008963584900, latency(ms): 92.4321021512150764 | 2022-05-03 01:43:50.294
[rank:0] iter: 700/1100, loss: 0.4469133317470551, latency(ms): 91.6150715202093124 | 2022-05-03 01:43:59.456
[rank:0] iter: 800/1100, loss: 0.4463968575000763, latency(ms): 92.0123234018683434 | 2022-05-03 01:44:08.657
[rank:0] iter: 900/1100, loss: 0.4457347989082336, latency(ms): 89.9427183344960213 | 2022-05-03 01:44:17.651
[rank:0] iter: 1000/1100, loss: 0.4452039301395416, latency(ms): 91.9853493198752403 | 2022-05-03 01:44:26.850
[rank:0] iter: 1100/1100, loss: 0.4450690448284149, latency(ms): 94.0536323562264442 | 2022-05-03 01:44:36.255