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: 0.5051535964012146, latency(ms): 156.3729798421263695 | 2022-05-15 01:47:50.102
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/15 01:47:50.329, Tesla V100-SXM2-32GB, 470.57.02, 30 %, 13 %, 32510 MiB, 28960 MiB, 3550 MiB
[rank:0] iter: 200/1100, loss: 0.4701488018035889, latency(ms): 117.5712167471647263 | 2022-05-15 01:48:01.859
[rank:0] iter: 300/1100, loss: 0.4635131955146790, latency(ms): 113.8082168996334076 | 2022-05-15 01:48:13.240
[rank:0] iter: 400/1100, loss: 0.4602755010128021, latency(ms): 114.3901150673627853 | 2022-05-15 01:48:24.679
[rank:0] iter: 500/1100, loss: 0.4574044048786163, latency(ms): 117.4111135303974152 | 2022-05-15 01:48:36.420
[rank:0] iter: 600/1100, loss: 0.4524715542793274, latency(ms): 116.5972850471735001 | 2022-05-15 01:48:48.080
[rank:0] iter: 700/1100, loss: 0.4468155205249786, latency(ms): 116.7635345086455345 | 2022-05-15 01:48:59.756
[rank:0] iter: 800/1100, loss: 0.4475941956043243, latency(ms): 118.5009588301181793 | 2022-05-15 01:49:11.606
[rank:0] iter: 900/1100, loss: 0.4468659460544586, latency(ms): 122.3628835380077362 | 2022-05-15 01:49:23.843
[rank:0] iter: 1000/1100, loss: 0.4464316070079803, latency(ms): 122.7597771584987640 | 2022-05-15 01:49:36.119
[rank:0] iter: 1100/1100, loss: 0.4465524256229401, latency(ms): 125.1198008656501770 | 2022-05-15 01:49:48.631