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 ............................................. 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: 0.4975824058055878, latency(ms): 141.8340480700135231 | 2022-04-10 01:39:53.248
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/10 01:39:53.273, Tesla V100-SXM2-32GB, 470.57.02, 49 %, 19 %, 32510 MiB, 29628 MiB, 2882 MiB
[rank:0] iter: 200/1100, loss: 0.4676775038242340, latency(ms): 92.9604355990886688 | 2022-04-10 01:40:02.544
[rank:0] iter: 300/1100, loss: 0.4620271027088165, latency(ms): 95.0450006499886513 | 2022-04-10 01:40:12.049
[rank:0] iter: 400/1100, loss: 0.4592837095260620, latency(ms): 92.9157034307718277 | 2022-04-10 01:40:21.340
[rank:0] iter: 500/1100, loss: 0.4564366638660431, latency(ms): 94.0731148794293404 | 2022-04-10 01:40:30.747
[rank:0] iter: 600/1100, loss: 0.4525950551033020, latency(ms): 96.0493866354227066 | 2022-04-10 01:40:40.352
[rank:0] iter: 700/1100, loss: 0.4467757344245911, latency(ms): 94.9859498441219330 | 2022-04-10 01:40:49.851
[rank:0] iter: 800/1100, loss: 0.4463445544242859, latency(ms): 95.9455148875713348 | 2022-04-10 01:40:59.446
[rank:0] iter: 900/1100, loss: 0.4456439614295959, latency(ms): 93.0733103305101395 | 2022-04-10 01:41:08.753
[rank:0] iter: 1000/1100, loss: 0.4451937377452850, latency(ms): 94.9309502169489861 | 2022-04-10 01:41:18.246
[rank:0] iter: 1100/1100, loss: 0.4449743032455444, latency(ms): 94.0190434083342552 | 2022-04-10 01:41:27.648