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: 0.5052090883255005, latency(ms): 157.4212107434868813 | 2022-05-11 01:49:55.700
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/11 01:49:55.725, Tesla V100-SXM2-32GB, 470.57.02, 54 %, 24 %, 32510 MiB, 28960 MiB, 3550 MiB
[rank:0] iter: 200/1100, loss: 0.4700589478015900, latency(ms): 114.8127615451812744 | 2022-05-11 01:50:07.181
[rank:0] iter: 300/1100, loss: 0.4635290205478668, latency(ms): 117.5529529899358749 | 2022-05-11 01:50:18.936
[rank:0] iter: 400/1100, loss: 0.4603599309921265, latency(ms): 115.1661224290728569 | 2022-05-11 01:50:30.453
[rank:0] iter: 500/1100, loss: 0.4575105905532837, latency(ms): 119.3386247381567955 | 2022-05-11 01:50:42.387
[rank:0] iter: 600/1100, loss: 0.4525152444839478, latency(ms): 118.5708550363779068 | 2022-05-11 01:50:54.244
[rank:0] iter: 700/1100, loss: 0.4469465315341949, latency(ms): 119.1752506420016289 | 2022-05-11 01:51:06.161
[rank:0] iter: 800/1100, loss: 0.4476872682571411, latency(ms): 119.4047779962420464 | 2022-05-11 01:51:18.102
[rank:0] iter: 900/1100, loss: 0.4470322728157043, latency(ms): 122.2013203054666519 | 2022-05-11 01:51:30.322
[rank:0] iter: 1000/1100, loss: 0.4464734792709351, latency(ms): 124.9822573736310005 | 2022-05-11 01:51:42.820
[rank:0] iter: 1100/1100, loss: 0.4465663433074951, latency(ms): 124.9689579755067825 | 2022-05-11 01:51:55.317