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 ...................................... 131072
  batch_size_per_proc ............................. 131072
  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: 0.5034016370773315, latency(ms): 345.0855085253715515 | 2022-05-11 01:52:33.764
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/11 01:52:33.792, Tesla V100-SXM2-32GB, 470.57.02, 61 %, 25 %, 32510 MiB, 27086 MiB, 5424 MiB
[rank:0] iter: 200/1100, loss: 0.4681786596775055, latency(ms): 302.7941669896245003 | 2022-05-11 01:53:04.044
[rank:0] iter: 300/1100, loss: 0.4600051939487457, latency(ms): 306.3968825340270996 | 2022-05-11 01:53:34.684
[rank:0] iter: 400/1100, loss: 0.4521071910858154, latency(ms): 303.7152225524187088 | 2022-05-11 01:54:05.055
[rank:0] iter: 500/1100, loss: 0.4508547186851501, latency(ms): 302.9808044433593750 | 2022-05-11 01:54:35.353
[rank:0] iter: 600/1100, loss: 0.4458668231964111, latency(ms): 304.9464601650834084 | 2022-05-11 01:55:05.848
[rank:0] iter: 700/1100, loss: 0.4402083158493042, latency(ms): 303.1635985895991325 | 2022-05-11 01:55:36.164
[rank:0] iter: 800/1100, loss: 0.4417365193367004, latency(ms): 304.9350787699222565 | 2022-05-11 01:56:06.658
[rank:0] iter: 900/1100, loss: 0.4336286485195160, latency(ms): 305.0403496623039246 | 2022-05-11 01:56:37.162
[rank:0] iter: 1000/1100, loss: 0.4307060241699219, latency(ms): 304.9706431478261948 | 2022-05-11 01:57:07.659
[rank:0] iter: 1100/1100, loss: 0.4326873421669006, latency(ms): 305.0986658781766891 | 2022-05-11 01:57:38.169