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: 0.4977410137653351, latency(ms): 129.0387152135372162 | 2022-05-22 01:58:52.751
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/22 01:58:52.775, Tesla V100-SXM2-32GB, 470.57.02, 46 %, 18 %, 32510 MiB, 29398 MiB, 3112 MiB
[rank:0] iter: 200/1100, loss: 0.4676471948623657, latency(ms): 86.9684911891818047 | 2022-05-22 01:59:01.448
[rank:0] iter: 300/1100, loss: 0.4618652760982513, latency(ms): 91.8812740594148636 | 2022-05-22 01:59:10.636
[rank:0] iter: 400/1100, loss: 0.4590871334075928, latency(ms): 88.1372436136007309 | 2022-05-22 01:59:19.450
[rank:0] iter: 500/1100, loss: 0.4563015401363373, latency(ms): 88.0083112791180611 | 2022-05-22 01:59:28.251
[rank:0] iter: 600/1100, loss: 0.4524401128292084, latency(ms): 88.8562373071908951 | 2022-05-22 01:59:37.136
[rank:0] iter: 700/1100, loss: 0.4466848373413086, latency(ms): 89.1399452090263367 | 2022-05-22 01:59:46.050
[rank:0] iter: 800/1100, loss: 0.4464184641838074, latency(ms): 89.9914253130555153 | 2022-05-22 01:59:55.049
[rank:0] iter: 900/1100, loss: 0.4456589221954346, latency(ms): 89.8666857928037643 | 2022-05-22 02:00:04.036
[rank:0] iter: 1000/1100, loss: 0.4451833367347717, latency(ms): 92.1612200140953064 | 2022-05-22 02:00:13.252
[rank:0] iter: 1100/1100, loss: 0.4450722038745880, latency(ms): 89.9646979942917824 | 2022-05-22 02:00:22.249