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: 0.4946802258491516, latency(ms): 226.0412834957242012 | 2022-04-04 01:41:28.784
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/04 01:41:28.808, Tesla V100-SXM2-32GB, 470.57.02, 50 %, 24 %, 32510 MiB, 27732 MiB, 4778 MiB
[rank:0] iter: 200/1100, loss: 0.4651527702808380, latency(ms): 168.0672201514244080 | 2022-04-04 01:41:45.591
[rank:0] iter: 300/1100, loss: 0.4581223726272583, latency(ms): 172.4326239153742790 | 2022-04-04 01:42:02.834
[rank:0] iter: 400/1100, loss: 0.4502401649951935, latency(ms): 169.2900305613875389 | 2022-04-04 01:42:19.763
[rank:0] iter: 500/1100, loss: 0.4485184550285339, latency(ms): 153.0530656501650810 | 2022-04-04 01:42:35.068
[rank:0] iter: 600/1100, loss: 0.4440637528896332, latency(ms): 151.9366193562746048 | 2022-04-04 01:42:50.262
[rank:0] iter: 700/1100, loss: 0.4374831914901733, latency(ms): 152.9861447960138321 | 2022-04-04 01:43:05.561
[rank:0] iter: 800/1100, loss: 0.4381995797157288, latency(ms): 156.0497104376554489 | 2022-04-04 01:43:21.166
[rank:0] iter: 900/1100, loss: 0.4307268857955933, latency(ms): 159.1952942684292793 | 2022-04-04 01:43:37.085
[rank:0] iter: 1000/1100, loss: 0.4264938831329346, latency(ms): 159.8572452366352081 | 2022-04-04 01:43:53.071
[rank:0] iter: 1100/1100, loss: 0.4276784062385559, latency(ms): 165.1480808109045029 | 2022-04-04 01:44:09.586