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 ...................................... 512
  batch_size_per_proc ............................. 512
  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: 0.5271207690238953, latency(ms): 43.7953877821564674 | 2022-04-09 01:53:09.947
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/09 01:53:09.976, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 96 %, 32510 MiB, 30708 MiB, 1802 MiB
[rank:0] iter: 200/1100, loss: 0.4992816448211670, latency(ms): 4.2910621687769890 | 2022-04-09 01:53:10.376
[rank:0] iter: 300/1100, loss: 0.4975621700286865, latency(ms): 4.0803202986717224 | 2022-04-09 01:53:10.784
[rank:0] iter: 400/1100, loss: 0.4917272329330444, latency(ms): 4.0594949945807457 | 2022-04-09 01:53:11.190
[rank:0] iter: 500/1100, loss: 0.4935798645019531, latency(ms): 4.1040486842393875 | 2022-04-09 01:53:11.600
[rank:0] iter: 600/1100, loss: 0.4824303090572357, latency(ms): 4.1388946026563644 | 2022-04-09 01:53:12.014
[rank:0] iter: 700/1100, loss: 0.4858146011829376, latency(ms): 4.1159044951200485 | 2022-04-09 01:53:12.426
[rank:0] iter: 800/1100, loss: 0.4868965446949005, latency(ms): 4.1778745874762535 | 2022-04-09 01:53:12.843
[rank:0] iter: 900/1100, loss: 0.4848532974720001, latency(ms): 4.2469328641891479 | 2022-04-09 01:53:13.268
[rank:0] iter: 1000/1100, loss: 0.4821932613849640, latency(ms): 4.0791301056742668 | 2022-04-09 01:53:13.676
[rank:0] iter: 1100/1100, loss: 0.4823380708694458, latency(ms): 4.1380692645907402 | 2022-04-09 01:53:14.090