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 ............................................. False
  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 .................................. graph
  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: 0.5262877941131592, latency(ms): 36.5820284932851791 | 2022-04-28 10:28:42.330
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/28 10:28:42.352, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 31034 MiB, 1476 MiB
[rank:0] iter: 200/1100, loss: 0.5005739927291870, latency(ms): 1.3299292325973511 | 2022-04-28 10:28:42.463
[rank:0] iter: 300/1100, loss: 0.4971513748168945, latency(ms): 1.2366589158773422 | 2022-04-28 10:28:42.587
[rank:0] iter: 400/1100, loss: 0.4929117262363434, latency(ms): 1.5265057608485222 | 2022-04-28 10:28:42.740
[rank:0] iter: 500/1100, loss: 0.4958792626857758, latency(ms): 1.3314310088753700 | 2022-04-28 10:28:42.873
[rank:0] iter: 600/1100, loss: 0.4837337732315063, latency(ms): 1.6834095492959023 | 2022-04-28 10:28:43.041
[rank:0] iter: 700/1100, loss: 0.4874309599399567, latency(ms): 1.3696219027042389 | 2022-04-28 10:28:43.178
[rank:0] iter: 800/1100, loss: 0.4871233105659485, latency(ms): 1.6411914303898811 | 2022-04-28 10:28:43.342
[rank:0] iter: 900/1100, loss: 0.4872853755950928, latency(ms): 1.3416018709540367 | 2022-04-28 10:28:43.476
[rank:0] iter: 1000/1100, loss: 0.4832566082477570, latency(ms): 1.6513019055128098 | 2022-04-28 10:28:43.642
[rank:0] iter: 1100/1100, loss: 0.4840596020221710, latency(ms): 1.3476327434182167 | 2022-04-28 10:28:43.776