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: 0.5048252940177917, latency(ms): 194.4140421599149704 | 2022-05-13 01:50:15.879
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/13 01:50:15.930, Tesla V100-SXM2-32GB, 470.57.02, 58 %, 24 %, 32510 MiB, 28960 MiB, 3550 MiB
[rank:0] iter: 200/1100, loss: 0.4700213372707367, latency(ms): 133.6940623074769974 | 2022-05-13 01:50:29.248
[rank:0] iter: 300/1100, loss: 0.4635820686817169, latency(ms): 134.5095189288258553 | 2022-05-13 01:50:42.699
[rank:0] iter: 400/1100, loss: 0.4605147242546082, latency(ms): 134.4238591566681862 | 2022-05-13 01:50:56.142
[rank:0] iter: 500/1100, loss: 0.4576714038848877, latency(ms): 130.7287587225437164 | 2022-05-13 01:51:09.215
[rank:0] iter: 600/1100, loss: 0.4527366757392883, latency(ms): 133.7732346355915070 | 2022-05-13 01:51:22.592
[rank:0] iter: 700/1100, loss: 0.4473044872283936, latency(ms): 134.3392748385667801 | 2022-05-13 01:51:36.026
[rank:0] iter: 800/1100, loss: 0.4480083882808685, latency(ms): 134.8388973623514175 | 2022-05-13 01:51:49.510
[rank:0] iter: 900/1100, loss: 0.4472338557243347, latency(ms): 141.2736909836530685 | 2022-05-13 01:52:03.637
[rank:0] iter: 1000/1100, loss: 0.4467676877975464, latency(ms): 150.7742446660995483 | 2022-05-13 01:52:18.714
[rank:0] iter: 1100/1100, loss: 0.4468817114830017, latency(ms): 142.0312118902802467 | 2022-05-13 01:52:32.918