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: 0.5262278914451599, latency(ms): 41.7074598744511604 | 2022-04-14 01:47:36.432
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/14 01:47:36.461, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 97 %, 32510 MiB, 30746 MiB, 1764 MiB
[rank:0] iter: 200/1100, loss: 0.5000154972076416, latency(ms): 4.1559240967035294 | 2022-04-14 01:47:36.848
[rank:0] iter: 300/1100, loss: 0.4969820380210876, latency(ms): 4.1498833522200584 | 2022-04-14 01:47:37.263
[rank:0] iter: 400/1100, loss: 0.4917794167995453, latency(ms): 3.8956022635102272 | 2022-04-14 01:47:37.652
[rank:0] iter: 500/1100, loss: 0.4943240880966187, latency(ms): 4.0060313418507576 | 2022-04-14 01:47:38.053
[rank:0] iter: 600/1100, loss: 0.4823092520236969, latency(ms): 3.9977126568555832 | 2022-04-14 01:47:38.452
[rank:0] iter: 700/1100, loss: 0.4868552386760712, latency(ms): 3.9468431472778320 | 2022-04-14 01:47:38.847
[rank:0] iter: 800/1100, loss: 0.4852971732616425, latency(ms): 3.9741127565503120 | 2022-04-14 01:47:39.245
[rank:0] iter: 900/1100, loss: 0.4851866960525513, latency(ms): 4.0685961768031120 | 2022-04-14 01:47:39.651
[rank:0] iter: 1000/1100, loss: 0.4819005727767944, latency(ms): 3.9726202562451363 | 2022-04-14 01:47:40.049
[rank:0] iter: 1100/1100, loss: 0.4831788241863251, latency(ms): 3.9719976484775543 | 2022-04-14 01:47:40.446