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: 0.5054605603218079, latency(ms): 151.8502553552389145 | 2022-05-07 01:48:41.056
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/07 01:48:41.075, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 15 %, 32510 MiB, 28960 MiB, 3550 MiB
[rank:0] iter: 200/1100, loss: 0.4710384011268616, latency(ms): 114.9255488067865372 | 2022-05-07 01:48:52.549
[rank:0] iter: 300/1100, loss: 0.4641005992889404, latency(ms): 116.6301124170422554 | 2022-05-07 01:49:04.212
[rank:0] iter: 400/1100, loss: 0.4608137607574463, latency(ms): 114.8855981603264809 | 2022-05-07 01:49:15.700
[rank:0] iter: 500/1100, loss: 0.4578667879104614, latency(ms): 116.5938954055309296 | 2022-05-07 01:49:27.360
[rank:0] iter: 600/1100, loss: 0.4528372287750244, latency(ms): 118.3352269977331161 | 2022-05-07 01:49:39.193
[rank:0] iter: 700/1100, loss: 0.4472766816616058, latency(ms): 117.3337611556053162 | 2022-05-07 01:49:50.927
[rank:0] iter: 800/1100, loss: 0.4480572044849396, latency(ms): 118.3226814866065979 | 2022-05-07 01:50:02.759
[rank:0] iter: 900/1100, loss: 0.4472713470458984, latency(ms): 121.7868025600910187 | 2022-05-07 01:50:14.938
[rank:0] iter: 1000/1100, loss: 0.4467332959175110, latency(ms): 122.8318566083908081 | 2022-05-07 01:50:27.221
[rank:0] iter: 1100/1100, loss: 0.4468172788619995, latency(ms): 122.8087273985147476 | 2022-05-07 01:50:39.502