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: 0.5045222043991089, latency(ms): 160.1366011798381805 | 2022-04-29 01:47:14.461
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/29 01:47:14.489, Tesla V100-SXM2-32GB, 470.57.02, 56 %, 23 %, 32510 MiB, 28960 MiB, 3550 MiB
[rank:0] iter: 200/1100, loss: 0.4698914289474487, latency(ms): 116.4259037375450134 | 2022-04-29 01:47:26.104
[rank:0] iter: 300/1100, loss: 0.4633019566535950, latency(ms): 114.9459807574748993 | 2022-04-29 01:47:37.598
[rank:0] iter: 400/1100, loss: 0.4601626992225647, latency(ms): 116.1100830510258675 | 2022-04-29 01:47:49.209
[rank:0] iter: 500/1100, loss: 0.4573011100292206, latency(ms): 116.5462452173233032 | 2022-04-29 01:48:00.864
[rank:0] iter: 600/1100, loss: 0.4523269236087799, latency(ms): 117.7372442930936813 | 2022-04-29 01:48:12.638
[rank:0] iter: 700/1100, loss: 0.4467119276523590, latency(ms): 117.8358419984579086 | 2022-04-29 01:48:24.421
[rank:0] iter: 800/1100, loss: 0.4474924206733704, latency(ms): 118.7215097248554230 | 2022-04-29 01:48:36.293
[rank:0] iter: 900/1100, loss: 0.4468401074409485, latency(ms): 122.3012483865022659 | 2022-04-29 01:48:48.523
[rank:0] iter: 1000/1100, loss: 0.4462372958660126, latency(ms): 123.5809556022286415 | 2022-04-29 01:49:00.882
[rank:0] iter: 1100/1100, loss: 0.4463273286819458, latency(ms): 125.5045991390943527 | 2022-04-29 01:49:13.432