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 ............................................. 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: 0.5034353733062744, latency(ms): 367.1396505832672119 | 2022-04-22 12:07:57.976
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/22 12:07:58.000, Tesla V100-SXM2-32GB, 470.57.02, 41 %, 16 %, 32510 MiB, 27086 MiB, 5424 MiB
[rank:0] iter: 200/1100, loss: 0.4685056209564209, latency(ms): 301.6675295308232307 | 2022-04-22 12:08:28.143
[rank:0] iter: 300/1100, loss: 0.4602528810501099, latency(ms): 302.0144246518611908 | 2022-04-22 12:08:58.344
[rank:0] iter: 400/1100, loss: 0.4524082243442535, latency(ms): 301.1383138224482536 | 2022-04-22 12:09:28.458
[rank:0] iter: 500/1100, loss: 0.4511268138885498, latency(ms): 301.9345450773835182 | 2022-04-22 12:09:58.652
[rank:0] iter: 600/1100, loss: 0.4460198879241943, latency(ms): 302.7676784247159958 | 2022-04-22 12:10:28.928
[rank:0] iter: 700/1100, loss: 0.4403686225414276, latency(ms): 304.3665270507335663 | 2022-04-22 12:10:59.365
[rank:0] iter: 800/1100, loss: 0.4418821036815643, latency(ms): 302.1091926097869873 | 2022-04-22 12:11:29.576
[rank:0] iter: 900/1100, loss: 0.4338888525962830, latency(ms): 304.0332962945103645 | 2022-04-22 12:11:59.979
[rank:0] iter: 1000/1100, loss: 0.4310061335563660, latency(ms): 308.0127767845988274 | 2022-04-22 12:12:30.781
[rank:0] iter: 1100/1100, loss: 0.4328801631927490, latency(ms): 301.9192742556333542 | 2022-04-22 12:13:00.972