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: 0.5050646066665649, latency(ms): 173.4975629299879074 | 2022-04-08 01:46:08.226
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/08 01:46:08.248, Tesla V100-SXM2-32GB, 470.57.02, 48 %, 20 %, 32510 MiB, 28992 MiB, 3518 MiB
[rank:0] iter: 200/1100, loss: 0.4718584716320038, latency(ms): 118.2479188591241837 | 2022-04-08 01:46:20.051
[rank:0] iter: 300/1100, loss: 0.4639654159545898, latency(ms): 117.9896688833832741 | 2022-04-08 01:46:31.850
[rank:0] iter: 400/1100, loss: 0.4607913196086884, latency(ms): 117.1358662843704224 | 2022-04-08 01:46:43.563
[rank:0] iter: 500/1100, loss: 0.4577871561050415, latency(ms): 121.3240087777376175 | 2022-04-08 01:46:55.696
[rank:0] iter: 600/1100, loss: 0.4527874290943146, latency(ms): 123.4549218788743019 | 2022-04-08 01:47:08.041
[rank:0] iter: 700/1100, loss: 0.4471815526485443, latency(ms): 122.8740176185965538 | 2022-04-08 01:47:20.329
[rank:0] iter: 800/1100, loss: 0.4479523897171021, latency(ms): 126.3597897812724113 | 2022-04-08 01:47:32.965
[rank:0] iter: 900/1100, loss: 0.4471849501132965, latency(ms): 125.2839261293411255 | 2022-04-08 01:47:45.493
[rank:0] iter: 1000/1100, loss: 0.4466522336006165, latency(ms): 127.9376330226659775 | 2022-04-08 01:47:58.287
[rank:0] iter: 1100/1100, loss: 0.4467310011386871, latency(ms): 130.0967727601528168 | 2022-04-08 01:48:11.297