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 ............................................. 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: 0.5262709259986877, latency(ms): 32.6180112734436989 | 2022-05-16 01:47:28.316
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/16 01:47:28.346, Tesla V100-SXM2-32GB, 470.57.02, 97 %, 95 %, 32510 MiB, 30676 MiB, 1834 MiB
[rank:0] iter: 200/1100, loss: 0.4996008276939392, latency(ms): 4.3880183249711990 | 2022-05-16 01:47:28.754
[rank:0] iter: 300/1100, loss: 0.4974647164344788, latency(ms): 4.1586302220821381 | 2022-05-16 01:47:29.170
[rank:0] iter: 400/1100, loss: 0.4915558099746704, latency(ms): 4.1131794452667236 | 2022-05-16 01:47:29.581
[rank:0] iter: 500/1100, loss: 0.4938802719116211, latency(ms): 4.0692972019314766 | 2022-05-16 01:47:29.988
[rank:0] iter: 600/1100, loss: 0.4818546772003174, latency(ms): 4.1152581945061684 | 2022-05-16 01:47:30.400
[rank:0] iter: 700/1100, loss: 0.4857710301876068, latency(ms): 4.0729155763983727 | 2022-05-16 01:47:30.807
[rank:0] iter: 800/1100, loss: 0.4856826066970825, latency(ms): 4.0785686299204826 | 2022-05-16 01:47:31.215
[rank:0] iter: 900/1100, loss: 0.4846958518028259, latency(ms): 4.1657477244734764 | 2022-05-16 01:47:31.632
[rank:0] iter: 1000/1100, loss: 0.4816893637180328, latency(ms): 4.2399811744689941 | 2022-05-16 01:47:32.056
[rank:0] iter: 1100/1100, loss: 0.4826489686965942, latency(ms): 4.1427744179964066 | 2022-05-16 01:47:32.470