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 ............................................. 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: 0.5044237375259399, latency(ms): 159.5507368817925453 | 2022-05-23 01:47:37.425
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/23 01:47:37.454, Tesla V100-SXM2-32GB, 470.57.02, 52 %, 21 %, 32510 MiB, 28954 MiB, 3556 MiB
[rank:0] iter: 200/1100, loss: 0.4752740859985352, latency(ms): 115.1014934480190277 | 2022-05-23 01:47:48.935
[rank:0] iter: 300/1100, loss: 0.4649872481822968, latency(ms): 115.4126394912600517 | 2022-05-23 01:48:00.476
[rank:0] iter: 400/1100, loss: 0.4609631597995758, latency(ms): 117.7774839475750923 | 2022-05-23 01:48:12.254
[rank:0] iter: 500/1100, loss: 0.4577746689319611, latency(ms): 117.3728778585791588 | 2022-05-23 01:48:23.991
[rank:0] iter: 600/1100, loss: 0.4526549577713013, latency(ms): 117.5410309061408043 | 2022-05-23 01:48:35.746
[rank:0] iter: 700/1100, loss: 0.4470774829387665, latency(ms): 118.0421997606754303 | 2022-05-23 01:48:47.550
[rank:0] iter: 800/1100, loss: 0.4479172527790070, latency(ms): 121.0021757334470749 | 2022-05-23 01:48:59.650
[rank:0] iter: 900/1100, loss: 0.4470119774341583, latency(ms): 127.2815961018204689 | 2022-05-23 01:49:12.378
[rank:0] iter: 1000/1100, loss: 0.4465243518352509, latency(ms): 125.1101526245474815 | 2022-05-23 01:49:24.889
[rank:0] iter: 1100/1100, loss: 0.4466387927532196, latency(ms): 128.0742782354354858 | 2022-05-23 01:49:37.697