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 ............................................. 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: 0.5278135538101196, latency(ms): 38.6048692092299461 | 2022-05-21 02:05:10.622
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/21 02:05:10.663, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 97 %, 32510 MiB, 30670 MiB, 1840 MiB
[rank:0] iter: 200/1100, loss: 0.4992931783199310, latency(ms): 4.5715484395623207 | 2022-05-21 02:05:11.079
[rank:0] iter: 300/1100, loss: 0.4967462420463562, latency(ms): 4.1483332961797714 | 2022-05-21 02:05:11.494
[rank:0] iter: 400/1100, loss: 0.4918252527713776, latency(ms): 4.1349925845861435 | 2022-05-21 02:05:11.908
[rank:0] iter: 500/1100, loss: 0.4943851232528687, latency(ms): 4.1552859917283058 | 2022-05-21 02:05:12.323
[rank:0] iter: 600/1100, loss: 0.4821146428585052, latency(ms): 4.1237280517816544 | 2022-05-21 02:05:12.736
[rank:0] iter: 700/1100, loss: 0.4862899780273438, latency(ms): 4.0989575535058975 | 2022-05-21 02:05:13.146
[rank:0] iter: 800/1100, loss: 0.4863292574882507, latency(ms): 4.1622231900691986 | 2022-05-21 02:05:13.562
[rank:0] iter: 900/1100, loss: 0.4850544333457947, latency(ms): 4.1208048164844513 | 2022-05-21 02:05:13.974
[rank:0] iter: 1000/1100, loss: 0.4830847084522247, latency(ms): 4.2088894918560982 | 2022-05-21 02:05:14.395
[rank:0] iter: 1100/1100, loss: 0.4833386242389679, latency(ms): 4.2982549965381622 | 2022-05-21 02:05:14.825