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 ............................................. False
  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 .................................. graph
  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: 0.4957065582275391, latency(ms): 224.5187864080071449 | 2022-05-02 01:43:13.626
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/02 01:43:13.649, Tesla V100-SXM2-32GB, 470.57.02, 55 %, 22 %, 32510 MiB, 27380 MiB, 5130 MiB
[rank:0] iter: 200/1100, loss: 0.4651502966880798, latency(ms): 182.3738550394773483 | 2022-05-02 01:43:31.863
[rank:0] iter: 300/1100, loss: 0.4581697583198547, latency(ms): 178.1463537365198135 | 2022-05-02 01:43:49.678
[rank:0] iter: 400/1100, loss: 0.4504195749759674, latency(ms): 184.9106369540095329 | 2022-05-02 01:44:08.169
[rank:0] iter: 500/1100, loss: 0.4485388696193695, latency(ms): 186.6245926171541214 | 2022-05-02 01:44:26.832
[rank:0] iter: 600/1100, loss: 0.4441437125205994, latency(ms): 167.5144210457801819 | 2022-05-02 01:44:43.583
[rank:0] iter: 700/1100, loss: 0.4375633895397186, latency(ms): 160.7980738580226898 | 2022-05-02 01:44:59.663
[rank:0] iter: 800/1100, loss: 0.4382937252521515, latency(ms): 167.0224263891577721 | 2022-05-02 01:45:16.365
[rank:0] iter: 900/1100, loss: 0.4308716952800751, latency(ms): 164.1844248771667480 | 2022-05-02 01:45:32.783
[rank:0] iter: 1000/1100, loss: 0.4267261922359467, latency(ms): 162.9952401667833328 | 2022-05-02 01:45:49.083
[rank:0] iter: 1100/1100, loss: 0.4279294312000275, latency(ms): 168.8277886435389519 | 2022-05-02 01:46:05.966