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 ............................................. 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: 0.5239237546920776, latency(ms): 41.9593770056962967 | 2022-04-03 01:39:07.751
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/03 01:39:07.771, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 31002 MiB, 1508 MiB
[rank:0] iter: 200/1100, loss: 0.4998588562011719, latency(ms): 1.3002096861600876 | 2022-04-03 01:39:07.881
[rank:0] iter: 300/1100, loss: 0.4976525008678436, latency(ms): 1.4343767985701561 | 2022-04-03 01:39:08.025
[rank:0] iter: 400/1100, loss: 0.4916587471961975, latency(ms): 1.3022609055042267 | 2022-04-03 01:39:08.155
[rank:0] iter: 500/1100, loss: 0.4953343868255615, latency(ms): 1.2786671891808510 | 2022-04-03 01:39:08.283
[rank:0] iter: 600/1100, loss: 0.4833828806877136, latency(ms): 1.5871093049645424 | 2022-04-03 01:39:08.442
[rank:0] iter: 700/1100, loss: 0.4867134094238281, latency(ms): 1.3066132739186287 | 2022-04-03 01:39:08.572
[rank:0] iter: 800/1100, loss: 0.4873874783515930, latency(ms): 1.6594010218977928 | 2022-04-03 01:39:08.738
[rank:0] iter: 900/1100, loss: 0.4856542348861694, latency(ms): 1.3902879506349564 | 2022-04-03 01:39:08.877
[rank:0] iter: 1000/1100, loss: 0.4831384420394897, latency(ms): 1.5328987315297127 | 2022-04-03 01:39:09.031
[rank:0] iter: 1100/1100, loss: 0.4832106530666351, latency(ms): 1.3386243581771851 | 2022-04-03 01:39:09.164