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: 0.4976010918617249, latency(ms): 135.9918447956442833 | 2022-04-17 01:40:19.454
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/17 01:40:20.092, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29666 MiB, 2844 MiB
[rank:0] iter: 200/1100, loss: 0.4678839147090912, latency(ms): 103.6288332194089890 | 2022-04-17 01:40:29.817
[rank:0] iter: 300/1100, loss: 0.4619456529617310, latency(ms): 92.2913545370101929 | 2022-04-17 01:40:39.046
[rank:0] iter: 400/1100, loss: 0.4591567516326904, latency(ms): 95.0205674767494202 | 2022-04-17 01:40:48.548
[rank:0] iter: 500/1100, loss: 0.4563250243663788, latency(ms): 94.0372489392757416 | 2022-04-17 01:40:57.952
[rank:0] iter: 600/1100, loss: 0.4524155557155609, latency(ms): 92.9599045589566231 | 2022-04-17 01:41:07.248
[rank:0] iter: 700/1100, loss: 0.4465446174144745, latency(ms): 94.9535444378852844 | 2022-04-17 01:41:16.743
[rank:0] iter: 800/1100, loss: 0.4463093876838684, latency(ms): 96.7653252556920052 | 2022-04-17 01:41:26.420
[rank:0] iter: 900/1100, loss: 0.4455222785472870, latency(ms): 95.2234587073326111 | 2022-04-17 01:41:35.942
[rank:0] iter: 1000/1100, loss: 0.4450087845325470, latency(ms): 94.0583915263414383 | 2022-04-17 01:41:45.348
[rank:0] iter: 1100/1100, loss: 0.4448255598545074, latency(ms): 95.9923483058810234 | 2022-04-17 01:41:54.947