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: 0.5025979876518250, latency(ms): 364.7471006214618683 | 2022-04-05 01:49:58.739
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/05 01:49:58.759, Tesla V100-SXM2-32GB, 470.57.02, 51 %, 21 %, 32510 MiB, 27118 MiB, 5392 MiB
[rank:0] iter: 200/1100, loss: 0.4670323431491852, latency(ms): 312.1553770452737808 | 2022-04-05 01:50:29.955
[rank:0] iter: 300/1100, loss: 0.4597111046314240, latency(ms): 306.2256181240081787 | 2022-04-05 01:51:00.577
[rank:0] iter: 400/1100, loss: 0.4519645571708679, latency(ms): 311.7322466522455215 | 2022-04-05 01:51:31.751
[rank:0] iter: 500/1100, loss: 0.4508184492588043, latency(ms): 300.1015184074640274 | 2022-04-05 01:52:01.761
[rank:0] iter: 600/1100, loss: 0.4457454681396484, latency(ms): 302.7083187922835350 | 2022-04-05 01:52:32.032
[rank:0] iter: 700/1100, loss: 0.4400880932807922, latency(ms): 301.3959471881389618 | 2022-04-05 01:53:02.171
[rank:0] iter: 800/1100, loss: 0.4416058063507080, latency(ms): 300.1133351027965546 | 2022-04-05 01:53:32.183
[rank:0] iter: 900/1100, loss: 0.4336046874523163, latency(ms): 300.0575577095150948 | 2022-04-05 01:54:02.188
[rank:0] iter: 1000/1100, loss: 0.4307317733764648, latency(ms): 302.0426918193697929 | 2022-04-05 01:54:32.393
[rank:0] iter: 1100/1100, loss: 0.4328159093856812, latency(ms): 305.7435703277587891 | 2022-04-05 01:55:02.967