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: 0.5044825673103333, latency(ms): 166.9545299932360649 | 2022-04-13 01:48:27.672
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/13 01:48:27.703, Tesla V100-SXM2-32GB, 470.57.02, 40 %, 18 %, 32510 MiB, 29030 MiB, 3480 MiB
[rank:0] iter: 200/1100, loss: 0.4709682464599609, latency(ms): 117.3522192984819412 | 2022-04-13 01:48:39.407
[rank:0] iter: 300/1100, loss: 0.4634656906127930, latency(ms): 119.6124334260821342 | 2022-04-13 01:48:51.368
[rank:0] iter: 400/1100, loss: 0.4602133035659790, latency(ms): 115.7215527445077896 | 2022-04-13 01:49:02.940
[rank:0] iter: 500/1100, loss: 0.4573538303375244, latency(ms): 118.1245800852775574 | 2022-04-13 01:49:14.753
[rank:0] iter: 600/1100, loss: 0.4524472057819366, latency(ms): 119.8364308103919029 | 2022-04-13 01:49:26.737
[rank:0] iter: 700/1100, loss: 0.4468565881252289, latency(ms): 116.3880031555891037 | 2022-04-13 01:49:38.375
[rank:0] iter: 800/1100, loss: 0.4475871324539185, latency(ms): 118.1327369809150696 | 2022-04-13 01:49:50.189
[rank:0] iter: 900/1100, loss: 0.4469293951988220, latency(ms): 122.0919436216354370 | 2022-04-13 01:50:02.398
[rank:0] iter: 1000/1100, loss: 0.4463282525539398, latency(ms): 122.1324861049652100 | 2022-04-13 01:50:14.611
[rank:0] iter: 1100/1100, loss: 0.4464705586433411, latency(ms): 126.8895772099494934 | 2022-04-13 01:50:27.300