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 ............................................. 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: 0.5057786107063293, latency(ms): 164.0656347200274467 | 2022-04-03 01:44:40.864
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/03 01:44:40.888, Tesla V100-SXM2-32GB, 470.57.02, 58 %, 25 %, 32510 MiB, 28992 MiB, 3518 MiB
[rank:0] iter: 200/1100, loss: 0.4728778004646301, latency(ms): 123.9651026576757431 | 2022-04-03 01:44:53.261
[rank:0] iter: 300/1100, loss: 0.4642575383186340, latency(ms): 116.9935556128621101 | 2022-04-03 01:45:04.960
[rank:0] iter: 400/1100, loss: 0.4610159397125244, latency(ms): 118.0305716767907143 | 2022-04-03 01:45:16.763
[rank:0] iter: 500/1100, loss: 0.4579936563968658, latency(ms): 118.2962241768836975 | 2022-04-03 01:45:28.593
[rank:0] iter: 600/1100, loss: 0.4529744386672974, latency(ms): 125.2853850275278091 | 2022-04-03 01:45:41.121
[rank:0] iter: 700/1100, loss: 0.4474498629570007, latency(ms): 124.1320408508181572 | 2022-04-03 01:45:53.535
[rank:0] iter: 800/1100, loss: 0.4481781721115112, latency(ms): 127.1783684194087982 | 2022-04-03 01:46:06.252
[rank:0] iter: 900/1100, loss: 0.4473922252655029, latency(ms): 129.2304112389683723 | 2022-04-03 01:46:19.175
[rank:0] iter: 1000/1100, loss: 0.4469154477119446, latency(ms): 136.4289927482604980 | 2022-04-03 01:46:32.818
[rank:0] iter: 1100/1100, loss: 0.4469214975833893, latency(ms): 132.1909952163696289 | 2022-04-03 01:46:46.037