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: 0.5033710002899170, latency(ms): 348.9261330664157867 | 2022-04-30 02:17:23.552
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/30 02:17:23.573, Tesla V100-SXM2-32GB, 470.57.02, 62 %, 26 %, 32510 MiB, 27086 MiB, 5424 MiB
[rank:0] iter: 200/1100, loss: 0.4725412428379059, latency(ms): 300.9080705419182777 | 2022-04-30 02:17:53.643
[rank:0] iter: 300/1100, loss: 0.4616389572620392, latency(ms): 304.9840999022126198 | 2022-04-30 02:18:24.141
[rank:0] iter: 400/1100, loss: 0.4537425339221954, latency(ms): 301.1490487679839134 | 2022-04-30 02:18:54.256
[rank:0] iter: 500/1100, loss: 0.4520703256130219, latency(ms): 300.0027839094400406 | 2022-04-30 02:19:24.256
[rank:0] iter: 600/1100, loss: 0.4469325542449951, latency(ms): 301.9146786257624626 | 2022-04-30 02:19:54.448
[rank:0] iter: 700/1100, loss: 0.4414362013339996, latency(ms): 304.0246205031871796 | 2022-04-30 02:20:24.850
[rank:0] iter: 800/1100, loss: 0.4426381587982178, latency(ms): 304.0183378383517265 | 2022-04-30 02:20:55.252
[rank:0] iter: 900/1100, loss: 0.4346608221530914, latency(ms): 306.3016564026474953 | 2022-04-30 02:21:25.882
[rank:0] iter: 1000/1100, loss: 0.4317729473114014, latency(ms): 307.7881249785423279 | 2022-04-30 02:21:56.661
[rank:0] iter: 1100/1100, loss: 0.4336568713188171, latency(ms): 310.2786886319518089 | 2022-04-30 02:22:27.689