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: 0.5033383369445801, latency(ms): 359.1962145268917084 | 2022-04-13 01:51:07.140
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/13 01:51:07.160, Tesla V100-SXM2-32GB, 470.57.02, 44 %, 16 %, 32510 MiB, 27156 MiB, 5354 MiB
[rank:0] iter: 200/1100, loss: 0.4690786004066467, latency(ms): 303.9113494008779526 | 2022-04-13 01:51:37.531
[rank:0] iter: 300/1100, loss: 0.4602100849151611, latency(ms): 303.0822750553488731 | 2022-04-13 01:52:07.839
[rank:0] iter: 400/1100, loss: 0.4525009393692017, latency(ms): 300.9781610965728760 | 2022-04-13 01:52:37.937
[rank:0] iter: 500/1100, loss: 0.4512264728546143, latency(ms): 300.0566628575325012 | 2022-04-13 01:53:07.943
[rank:0] iter: 600/1100, loss: 0.4461212456226349, latency(ms): 299.9994296208024025 | 2022-04-13 01:53:37.943
[rank:0] iter: 700/1100, loss: 0.4404567480087280, latency(ms): 302.0808023586869240 | 2022-04-13 01:54:08.151
[rank:0] iter: 800/1100, loss: 0.4418751597404480, latency(ms): 299.7278917953372002 | 2022-04-13 01:54:38.124
[rank:0] iter: 900/1100, loss: 0.4338498413562775, latency(ms): 301.2954001501202583 | 2022-04-13 01:55:08.253
[rank:0] iter: 1000/1100, loss: 0.4309684038162231, latency(ms): 300.0885592028498650 | 2022-04-13 01:55:38.262
[rank:0] iter: 1100/1100, loss: 0.4329162538051605, latency(ms): 303.9942966401576996 | 2022-04-13 01:56:08.662