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 ...................................... 65536
  batch_size_per_proc ............................. 65536
  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: 0.5054132342338562, latency(ms): 160.7154386863112450 | 2022-04-30 02:14:44.540
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/30 02:14:44.569, Tesla V100-SXM2-32GB, 470.57.02, 39 %, 17 %, 32510 MiB, 28960 MiB, 3550 MiB
[rank:0] iter: 200/1100, loss: 0.4720084071159363, latency(ms): 116.2378451228141785 | 2022-04-30 02:14:56.164
[rank:0] iter: 300/1100, loss: 0.4638858437538147, latency(ms): 116.6274994984269142 | 2022-04-30 02:15:07.827
[rank:0] iter: 400/1100, loss: 0.4604738950729370, latency(ms): 111.4014180004596710 | 2022-04-30 02:15:18.967
[rank:0] iter: 500/1100, loss: 0.4574171900749207, latency(ms): 118.4624587744474411 | 2022-04-30 02:15:30.813
[rank:0] iter: 600/1100, loss: 0.4524231255054474, latency(ms): 116.2559979036450386 | 2022-04-30 02:15:42.439
[rank:0] iter: 700/1100, loss: 0.4469339251518250, latency(ms): 118.4625291079282761 | 2022-04-30 02:15:54.285
[rank:0] iter: 800/1100, loss: 0.4477646648883820, latency(ms): 120.8379709720611572 | 2022-04-30 02:16:06.369
[rank:0] iter: 900/1100, loss: 0.4469634890556335, latency(ms): 123.2835723087191582 | 2022-04-30 02:16:18.697
[rank:0] iter: 1000/1100, loss: 0.4465145170688629, latency(ms): 125.1850351318717003 | 2022-04-30 02:16:31.215
[rank:0] iter: 1100/1100, loss: 0.4466117620468140, latency(ms): 134.4257047772407532 | 2022-04-30 02:16:44.658