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: 0.5022158622741699, latency(ms): 367.5370885804295540 | 2022-04-08 01:48:51.817
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/08 01:48:51.833, Tesla V100-SXM2-32GB, 470.57.02, 44 %, 17 %, 32510 MiB, 27118 MiB, 5392 MiB
[rank:0] iter: 200/1100, loss: 0.4669955074787140, latency(ms): 300.3373438119888306 | 2022-04-08 01:49:21.851
[rank:0] iter: 300/1100, loss: 0.4597474634647369, latency(ms): 301.1568613722920418 | 2022-04-08 01:49:51.966
[rank:0] iter: 400/1100, loss: 0.4520400762557983, latency(ms): 299.7677120566368103 | 2022-04-08 01:50:21.943
[rank:0] iter: 500/1100, loss: 0.4508417248725891, latency(ms): 300.1631511002779007 | 2022-04-08 01:50:51.960
[rank:0] iter: 600/1100, loss: 0.4459045827388763, latency(ms): 302.0966790616512299 | 2022-04-08 01:51:22.169
[rank:0] iter: 700/1100, loss: 0.4402348697185516, latency(ms): 304.3417696654796600 | 2022-04-08 01:51:52.603
[rank:0] iter: 800/1100, loss: 0.4417611062526703, latency(ms): 301.8786223232746124 | 2022-04-08 01:52:22.791
[rank:0] iter: 900/1100, loss: 0.4337278604507446, latency(ms): 312.7157206088304520 | 2022-04-08 01:52:54.063
[rank:0] iter: 1000/1100, loss: 0.4307482242584229, latency(ms): 307.0805864036083221 | 2022-04-08 01:53:24.771
[rank:0] iter: 1100/1100, loss: 0.4327909350395203, latency(ms): 308.1119667366147041 | 2022-04-08 01:53:55.582