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: 0.5029564499855042, latency(ms): 348.4496336057782173 | 2022-05-20 02:15:16.132
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/20 02:15:16.173, Tesla V100-SXM2-32GB, 470.57.02, 11 %, 4 %, 32510 MiB, 27080 MiB, 5430 MiB
[rank:0] iter: 200/1100, loss: 0.4684973657131195, latency(ms): 299.2933976277709007 | 2022-05-20 02:15:46.061
[rank:0] iter: 300/1100, loss: 0.4601015746593475, latency(ms): 313.1314958259463310 | 2022-05-20 02:16:17.374
[rank:0] iter: 400/1100, loss: 0.4521664679050446, latency(ms): 331.6259988769888878 | 2022-05-20 02:16:50.537
[rank:0] iter: 500/1100, loss: 0.4508858919143677, latency(ms): 303.2839468121528625 | 2022-05-20 02:17:20.865
[rank:0] iter: 600/1100, loss: 0.4459090530872345, latency(ms): 303.9737856388092041 | 2022-05-20 02:17:51.262
[rank:0] iter: 700/1100, loss: 0.4401403665542603, latency(ms): 312.8259424865245819 | 2022-05-20 02:18:22.545
[rank:0] iter: 800/1100, loss: 0.4416346848011017, latency(ms): 305.9009535983204842 | 2022-05-20 02:18:53.135
[rank:0] iter: 900/1100, loss: 0.4336388707160950, latency(ms): 308.2023778557777405 | 2022-05-20 02:19:23.955
[rank:0] iter: 1000/1100, loss: 0.4305969178676605, latency(ms): 321.8544848635792732 | 2022-05-20 02:19:56.141
[rank:0] iter: 1100/1100, loss: 0.4326097369194031, latency(ms): 321.3837223500013351 | 2022-05-20 02:20:28.279