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: 0.5245541930198669, latency(ms): 37.7001599594950676 | 2022-05-23 01:41:57.346
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/23 01:41:57.366, Tesla V100-SXM2-32GB, 470.57.02, 48 %, 10 %, 32510 MiB, 31028 MiB, 1482 MiB
[rank:0] iter: 200/1100, loss: 0.4994499087333679, latency(ms): 1.3077733293175697 | 2022-05-23 01:41:57.476
[rank:0] iter: 300/1100, loss: 0.4981212615966797, latency(ms): 1.6679368168115616 | 2022-05-23 01:41:57.643
[rank:0] iter: 400/1100, loss: 0.4931143820285797, latency(ms): 1.3584287837147713 | 2022-05-23 01:41:57.779
[rank:0] iter: 500/1100, loss: 0.4951709508895874, latency(ms): 1.6915553808212280 | 2022-05-23 01:41:57.948
[rank:0] iter: 600/1100, loss: 0.4833161830902100, latency(ms): 1.3385719060897827 | 2022-05-23 01:41:58.082
[rank:0] iter: 700/1100, loss: 0.4870711565017700, latency(ms): 1.6768117249011993 | 2022-05-23 01:41:58.250
[rank:0] iter: 800/1100, loss: 0.4857308268547058, latency(ms): 1.3536491990089417 | 2022-05-23 01:41:58.385
[rank:0] iter: 900/1100, loss: 0.4858344793319702, latency(ms): 1.6775855422019958 | 2022-05-23 01:41:58.553
[rank:0] iter: 1000/1100, loss: 0.4838604032993317, latency(ms): 1.3663856312632561 | 2022-05-23 01:41:58.690
[rank:0] iter: 1100/1100, loss: 0.4833891987800598, latency(ms): 1.6598914563655853 | 2022-05-23 01:41:58.856