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: 0.5247751474380493, latency(ms): 38.0899774283170700 | 2022-04-27 10:18:34.460
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/27 10:18:34.482, Tesla V100-SXM2-32GB, 470.57.02, 6 %, 1 %, 32510 MiB, 31034 MiB, 1476 MiB
[rank:0] iter: 200/1100, loss: 0.4995145797729492, latency(ms): 1.3482915610074997 | 2022-04-27 10:18:34.595
[rank:0] iter: 300/1100, loss: 0.4977669417858124, latency(ms): 1.4705522730946541 | 2022-04-27 10:18:34.742
[rank:0] iter: 400/1100, loss: 0.4927961230278015, latency(ms): 1.2881976366043091 | 2022-04-27 10:18:34.871
[rank:0] iter: 500/1100, loss: 0.4946239888668060, latency(ms): 1.6042142733931541 | 2022-04-27 10:18:35.032
[rank:0] iter: 600/1100, loss: 0.4837785661220551, latency(ms): 1.3215333968400955 | 2022-04-27 10:18:35.164
[rank:0] iter: 700/1100, loss: 0.4862169921398163, latency(ms): 1.2387347221374512 | 2022-04-27 10:18:35.288
[rank:0] iter: 800/1100, loss: 0.4878272116184235, latency(ms): 1.4821139350533485 | 2022-04-27 10:18:35.436
[rank:0] iter: 900/1100, loss: 0.4863196611404419, latency(ms): 1.3456438481807709 | 2022-04-27 10:18:35.570
[rank:0] iter: 1000/1100, loss: 0.4826582074165344, latency(ms): 1.6628199815750122 | 2022-04-27 10:18:35.737
[rank:0] iter: 1100/1100, loss: 0.4830629825592041, latency(ms): 1.3751632720232010 | 2022-04-27 10:18:35.874