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 ...................................... 512
  batch_size_per_proc ............................. 512
  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: 0.5277386307716370, latency(ms): 40.3110305964946747 | 2022-04-28 01:49:18.195
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/28 01:49:18.226, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 97 %, 32510 MiB, 30676 MiB, 1834 MiB
[rank:0] iter: 200/1100, loss: 0.4991142749786377, latency(ms): 4.2773988097906113 | 2022-04-28 01:49:18.623
[rank:0] iter: 300/1100, loss: 0.4965061545372009, latency(ms): 4.0401436761021614 | 2022-04-28 01:49:19.027
[rank:0] iter: 400/1100, loss: 0.4910160005092621, latency(ms): 4.0740349888801575 | 2022-04-28 01:49:19.434
[rank:0] iter: 500/1100, loss: 0.4934273064136505, latency(ms): 4.0378880128264427 | 2022-04-28 01:49:19.838
[rank:0] iter: 600/1100, loss: 0.4820159673690796, latency(ms): 4.0251164138317108 | 2022-04-28 01:49:20.240
[rank:0] iter: 700/1100, loss: 0.4852373898029327, latency(ms): 4.0421648696064949 | 2022-04-28 01:49:20.644
[rank:0] iter: 800/1100, loss: 0.4853554069995880, latency(ms): 4.0315072610974312 | 2022-04-28 01:49:21.048
[rank:0] iter: 900/1100, loss: 0.4848243296146393, latency(ms): 4.0350276976823807 | 2022-04-28 01:49:21.451
[rank:0] iter: 1000/1100, loss: 0.4819340109825134, latency(ms): 4.0978492051362991 | 2022-04-28 01:49:21.861
[rank:0] iter: 1100/1100, loss: 0.4832701981067657, latency(ms): 4.2217810451984406 | 2022-04-28 01:49:22.283