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: 0.5019655823707581, latency(ms): 360.8652150258421898 | 2022-04-19 01:51:25.568
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/19 01:51:25.595, Tesla V100-SXM2-32GB, 470.57.02, 30 %, 13 %, 32510 MiB, 27092 MiB, 5418 MiB
[rank:0] iter: 200/1100, loss: 0.4672341048717499, latency(ms): 304.3465245887637138 | 2022-04-19 01:51:56.003
[rank:0] iter: 300/1100, loss: 0.4594474732875824, latency(ms): 301.3034038245677948 | 2022-04-19 01:52:26.133
[rank:0] iter: 400/1100, loss: 0.4515737593173981, latency(ms): 302.1068297699093819 | 2022-04-19 01:52:56.344
[rank:0] iter: 500/1100, loss: 0.4505072832107544, latency(ms): 303.2422586902976036 | 2022-04-19 01:53:26.668
[rank:0] iter: 600/1100, loss: 0.4455265104770660, latency(ms): 300.9040771797299385 | 2022-04-19 01:53:56.759
[rank:0] iter: 700/1100, loss: 0.4398222267627716, latency(ms): 299.8166813701391220 | 2022-04-19 01:54:26.740
[rank:0] iter: 800/1100, loss: 0.4414921700954437, latency(ms): 301.2928614765405655 | 2022-04-19 01:54:56.869
[rank:0] iter: 900/1100, loss: 0.4333764612674713, latency(ms): 301.8014688789844513 | 2022-04-19 01:55:27.050
[rank:0] iter: 1000/1100, loss: 0.4305313825607300, latency(ms): 300.0659948214888573 | 2022-04-19 01:55:57.056
[rank:0] iter: 1100/1100, loss: 0.4325191974639893, latency(ms): 302.2357864677906036 | 2022-04-19 01:56:27.280