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: 0.5049135088920593, latency(ms): 155.5525702610611916 | 2022-05-12 01:51:20.024
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/12 01:51:20.046, Tesla V100-SXM2-32GB, 470.57.02, 42 %, 19 %, 32510 MiB, 28960 MiB, 3550 MiB
[rank:0] iter: 200/1100, loss: 0.4722457528114319, latency(ms): 114.9495949596166611 | 2022-05-12 01:51:31.519
[rank:0] iter: 300/1100, loss: 0.4640018343925476, latency(ms): 114.2560232803225517 | 2022-05-12 01:51:42.944
[rank:0] iter: 400/1100, loss: 0.4605842530727386, latency(ms): 118.8135415315628052 | 2022-05-12 01:51:54.826
[rank:0] iter: 500/1100, loss: 0.4574154913425446, latency(ms): 118.1658247858285904 | 2022-05-12 01:52:06.642
[rank:0] iter: 600/1100, loss: 0.4524169564247131, latency(ms): 119.1987040266394615 | 2022-05-12 01:52:18.562
[rank:0] iter: 700/1100, loss: 0.4468724727630615, latency(ms): 116.5962518751621246 | 2022-05-12 01:52:30.222
[rank:0] iter: 800/1100, loss: 0.4477585256099701, latency(ms): 119.4843397662043571 | 2022-05-12 01:52:42.170
[rank:0] iter: 900/1100, loss: 0.4468410909175873, latency(ms): 122.3659187555313110 | 2022-05-12 01:52:54.407
[rank:0] iter: 1000/1100, loss: 0.4464156329631805, latency(ms): 125.1338408887386322 | 2022-05-12 01:53:06.920
[rank:0] iter: 1100/1100, loss: 0.4465130567550659, latency(ms): 124.2791656032204628 | 2022-05-12 01:53:19.348