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 ............................................. 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: 0.4981628060340881, latency(ms): 147.8447873145341873 | 2022-04-01 01:41:04.661
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/01 01:41:04.690, Tesla V100-SXM2-32GB, 470.57.02, 57 %, 22 %, 32510 MiB, 29372 MiB, 3138 MiB
[rank:0] iter: 200/1100, loss: 0.4680278897285461, latency(ms): 98.9574804902076721 | 2022-04-01 01:41:14.557
[rank:0] iter: 300/1100, loss: 0.4622146189212799, latency(ms): 95.0188015028834343 | 2022-04-01 01:41:24.059
[rank:0] iter: 400/1100, loss: 0.4595456719398499, latency(ms): 96.9754547998309135 | 2022-04-01 01:41:33.756
[rank:0] iter: 500/1100, loss: 0.4567225575447083, latency(ms): 95.6624794006347656 | 2022-04-01 01:41:43.322
[rank:0] iter: 600/1100, loss: 0.4527198672294617, latency(ms): 95.7226889953017235 | 2022-04-01 01:41:52.895
[rank:0] iter: 700/1100, loss: 0.4469187855720520, latency(ms): 96.6030397638678551 | 2022-04-01 01:42:02.555
[rank:0] iter: 800/1100, loss: 0.4466266334056854, latency(ms): 97.0041822642087936 | 2022-04-01 01:42:12.255
[rank:0] iter: 900/1100, loss: 0.4458703100681305, latency(ms): 98.0166079103946686 | 2022-04-01 01:42:22.057
[rank:0] iter: 1000/1100, loss: 0.4452848136425018, latency(ms): 96.9695987179875374 | 2022-04-01 01:42:31.754
[rank:0] iter: 1100/1100, loss: 0.4451244771480560, latency(ms): 96.9907334819436073 | 2022-04-01 01:42:41.453