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: 0.5053206086158752, latency(ms): 164.5919272676110268 | 2022-04-12 17:09:09.945
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/12 17:09:09.969, Tesla V100-SXM2-32GB, 470.57.02, 34 %, 15 %, 32510 MiB, 29030 MiB, 3480 MiB
[rank:0] iter: 200/1100, loss: 0.4749194383621216, latency(ms): 114.6363910287618637 | 2022-04-12 17:09:21.408
[rank:0] iter: 300/1100, loss: 0.4649974107742310, latency(ms): 110.3157091885805130 | 2022-04-12 17:09:32.440
[rank:0] iter: 400/1100, loss: 0.4613100290298462, latency(ms): 112.8176683932542801 | 2022-04-12 17:09:43.721
[rank:0] iter: 500/1100, loss: 0.4581387042999268, latency(ms): 117.0207827910780907 | 2022-04-12 17:09:55.423
[rank:0] iter: 600/1100, loss: 0.4530116021633148, latency(ms): 118.5469811782240868 | 2022-04-12 17:10:07.278
[rank:0] iter: 700/1100, loss: 0.4474628567695618, latency(ms): 115.5997943133115768 | 2022-04-12 17:10:18.838
[rank:0] iter: 800/1100, loss: 0.4481791555881500, latency(ms): 117.9908185824751854 | 2022-04-12 17:10:30.637
[rank:0] iter: 900/1100, loss: 0.4471679329872131, latency(ms): 119.6739215031266212 | 2022-04-12 17:10:42.605
[rank:0] iter: 1000/1100, loss: 0.4467528462409973, latency(ms): 121.8544705957174301 | 2022-04-12 17:10:54.790
[rank:0] iter: 1100/1100, loss: 0.4467943906784058, latency(ms): 124.6841630339622498 | 2022-04-12 17:11:07.258