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: 0.5034191012382507, latency(ms): 365.0394343584775925 | 2022-04-28 01:52:22.571
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/28 01:52:22.596, Tesla V100-SXM2-32GB, 470.57.02, 66 %, 28 %, 32510 MiB, 27086 MiB, 5424 MiB
[rank:0] iter: 200/1100, loss: 0.4678497314453125, latency(ms): 304.6430730074644089 | 2022-04-28 01:52:53.035
[rank:0] iter: 300/1100, loss: 0.4598851501941681, latency(ms): 305.0807528570294380 | 2022-04-28 01:53:23.543
[rank:0] iter: 400/1100, loss: 0.4521353840827942, latency(ms): 299.8990175500512123 | 2022-04-28 01:53:53.533
[rank:0] iter: 500/1100, loss: 0.4509786963462830, latency(ms): 307.1565407887101173 | 2022-04-28 01:54:24.249
[rank:0] iter: 600/1100, loss: 0.4459783136844635, latency(ms): 301.0057803988456726 | 2022-04-28 01:54:54.349
[rank:0] iter: 700/1100, loss: 0.4403443932533264, latency(ms): 301.3226015493273735 | 2022-04-28 01:55:24.482
[rank:0] iter: 800/1100, loss: 0.4418713748455048, latency(ms): 302.6976322010159492 | 2022-04-28 01:55:54.751
[rank:0] iter: 900/1100, loss: 0.4339097738265991, latency(ms): 304.2268101125955582 | 2022-04-28 01:56:25.174
[rank:0] iter: 1000/1100, loss: 0.4309880435466766, latency(ms): 304.7179265692830086 | 2022-04-28 01:56:55.646
[rank:0] iter: 1100/1100, loss: 0.4329045116901398, latency(ms): 301.9696672260761261 | 2022-04-28 01:57:25.843