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 ...................................... 131072
  batch_size_per_proc ............................. 131072
  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: 0.4949386715888977, latency(ms): 218.7736293300986290 | 2022-05-03 01:45:01.868
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/03 01:45:01.903, Tesla V100-SXM2-32GB, 470.57.02, 46 %, 21 %, 32510 MiB, 27764 MiB, 4746 MiB
[rank:0] iter: 200/1100, loss: 0.4647964239120483, latency(ms): 169.9481210485100746 | 2022-05-03 01:45:18.863
[rank:0] iter: 300/1100, loss: 0.4581168293952942, latency(ms): 170.9895901381969452 | 2022-05-03 01:45:35.962
[rank:0] iter: 400/1100, loss: 0.4502339065074921, latency(ms): 179.1903885453939438 | 2022-05-03 01:45:53.881
[rank:0] iter: 500/1100, loss: 0.4485298395156860, latency(ms): 180.0484594330191612 | 2022-05-03 01:46:11.886
[rank:0] iter: 600/1100, loss: 0.4441149234771729, latency(ms): 159.7564563527703285 | 2022-05-03 01:46:27.861
[rank:0] iter: 700/1100, loss: 0.4376550614833832, latency(ms): 158.0258331820368767 | 2022-05-03 01:46:43.664
[rank:0] iter: 800/1100, loss: 0.4383297860622406, latency(ms): 159.1476909816265106 | 2022-05-03 01:46:59.579
[rank:0] iter: 900/1100, loss: 0.4309214353561401, latency(ms): 160.8640941977500916 | 2022-05-03 01:47:15.665
[rank:0] iter: 1000/1100, loss: 0.4267826378345490, latency(ms): 158.2896689698100090 | 2022-05-03 01:47:31.494
[rank:0] iter: 1100/1100, loss: 0.4279633462429047, latency(ms): 160.9496068954467773 | 2022-05-03 01:47:47.589