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: 0.5048197507858276, latency(ms): 165.0762456655502319 | 2022-04-28 10:34:22.269
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/28 10:34:22.300, Tesla V100-SXM2-32GB, 470.57.02, 44 %, 20 %, 32510 MiB, 28960 MiB, 3550 MiB
[rank:0] iter: 200/1100, loss: 0.4713760316371918, latency(ms): 112.7236880734562874 | 2022-04-28 10:34:33.542
[rank:0] iter: 300/1100, loss: 0.4638316333293915, latency(ms): 111.9060367345809937 | 2022-04-28 10:34:44.732
[rank:0] iter: 400/1100, loss: 0.4607242345809937, latency(ms): 119.4494497776031494 | 2022-04-28 10:34:56.677
[rank:0] iter: 500/1100, loss: 0.4577242136001587, latency(ms): 119.0518086031079292 | 2022-04-28 10:35:08.582
[rank:0] iter: 600/1100, loss: 0.4526822268962860, latency(ms): 117.0414231717586517 | 2022-04-28 10:35:20.286
[rank:0] iter: 700/1100, loss: 0.4471173882484436, latency(ms): 116.7983772605657578 | 2022-04-28 10:35:31.966
[rank:0] iter: 800/1100, loss: 0.4479932785034180, latency(ms): 121.5390557050704956 | 2022-04-28 10:35:44.120
[rank:0] iter: 900/1100, loss: 0.4472029209136963, latency(ms): 121.2873393669724464 | 2022-04-28 10:35:56.249
[rank:0] iter: 1000/1100, loss: 0.4465873241424561, latency(ms): 127.3709237203001976 | 2022-04-28 10:36:08.986
[rank:0] iter: 1100/1100, loss: 0.4468028545379639, latency(ms): 128.5689260065555573 | 2022-04-28 10:36:21.843