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 ...................................... 131072
  batch_size_per_proc ............................. 131072
  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: 0.5025655031204224, latency(ms): 360.6542791426181793 | 2022-04-20 01:52:21.042
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/20 01:52:21.079, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 28 %, 32510 MiB, 27092 MiB, 5418 MiB
[rank:0] iter: 200/1100, loss: 0.4712789654731750, latency(ms): 302.8554257377982140 | 2022-04-20 01:52:51.328
[rank:0] iter: 300/1100, loss: 0.4609116315841675, latency(ms): 304.9765513464808464 | 2022-04-20 01:53:21.825
[rank:0] iter: 400/1100, loss: 0.4530000984668732, latency(ms): 303.2807550951838493 | 2022-04-20 01:53:52.153
[rank:0] iter: 500/1100, loss: 0.4515443444252014, latency(ms): 306.2502163648605347 | 2022-04-20 01:54:22.778
[rank:0] iter: 600/1100, loss: 0.4463712573051453, latency(ms): 305.6965501233935356 | 2022-04-20 01:54:53.348
[rank:0] iter: 700/1100, loss: 0.4406966269016266, latency(ms): 308.0256646126508713 | 2022-04-20 01:55:24.151
[rank:0] iter: 800/1100, loss: 0.4420446753501892, latency(ms): 303.8060406222939491 | 2022-04-20 01:55:54.531
[rank:0] iter: 900/1100, loss: 0.4339830875396729, latency(ms): 304.4316706433892250 | 2022-04-20 01:56:24.974
[rank:0] iter: 1000/1100, loss: 0.4310491085052490, latency(ms): 301.0358415171504021 | 2022-04-20 01:56:55.078
[rank:0] iter: 1100/1100, loss: 0.4329718053340912, latency(ms): 303.8149483874440193 | 2022-04-20 01:57:25.459