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: 0.4970233142375946, latency(ms): 131.9040951132774353 | 2022-05-15 01:42:29.464
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/15 01:42:29.487, Tesla V100-SXM2-32GB, 470.57.02, 51 %, 20 %, 32510 MiB, 29404 MiB, 3106 MiB
[rank:0] iter: 200/1100, loss: 0.4676518738269806, latency(ms): 93.8818707689642906 | 2022-05-15 01:42:38.852
[rank:0] iter: 300/1100, loss: 0.4618775546550751, latency(ms): 95.0273771584033966 | 2022-05-15 01:42:48.355
[rank:0] iter: 400/1100, loss: 0.4591861963272095, latency(ms): 96.0233605653047562 | 2022-05-15 01:42:57.957
[rank:0] iter: 500/1100, loss: 0.4564451575279236, latency(ms): 95.9855563938617706 | 2022-05-15 01:43:07.556
[rank:0] iter: 600/1100, loss: 0.4525275826454163, latency(ms): 96.6884300112724304 | 2022-05-15 01:43:17.225
[rank:0] iter: 700/1100, loss: 0.4466981887817383, latency(ms): 96.2937479093670845 | 2022-05-15 01:43:26.854
[rank:0] iter: 800/1100, loss: 0.4463142752647400, latency(ms): 98.6798281967639923 | 2022-05-15 01:43:36.722
[rank:0] iter: 900/1100, loss: 0.4455592632293701, latency(ms): 98.3325573429465294 | 2022-05-15 01:43:46.555
[rank:0] iter: 1000/1100, loss: 0.4451542794704437, latency(ms): 97.9881014302372932 | 2022-05-15 01:43:56.354
[rank:0] iter: 1100/1100, loss: 0.4449286758899689, latency(ms): 96.9944870099425316 | 2022-05-15 01:44:06.053