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: 0.5048900842666626, latency(ms): 155.1118601113557816 | 2022-05-14 01:50:19.375
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/14 01:50:19.395, Tesla V100-SXM2-32GB, 470.57.02, 62 %, 26 %, 32510 MiB, 28960 MiB, 3550 MiB
[rank:0] iter: 200/1100, loss: 0.4720596969127655, latency(ms): 115.0615729764103889 | 2022-05-14 01:50:30.881
[rank:0] iter: 300/1100, loss: 0.4639188349246979, latency(ms): 113.1487234681844711 | 2022-05-14 01:50:42.196
[rank:0] iter: 400/1100, loss: 0.4606006741523743, latency(ms): 118.2764093205332756 | 2022-05-14 01:50:54.024
[rank:0] iter: 500/1100, loss: 0.4575844705104828, latency(ms): 115.8946833387017250 | 2022-05-14 01:51:05.613
[rank:0] iter: 600/1100, loss: 0.4525384604930878, latency(ms): 118.0287089198827744 | 2022-05-14 01:51:17.416
[rank:0] iter: 700/1100, loss: 0.4469691812992096, latency(ms): 118.3513000234961510 | 2022-05-14 01:51:29.251
[rank:0] iter: 800/1100, loss: 0.4477699995040894, latency(ms): 122.5855566561222076 | 2022-05-14 01:51:41.510
[rank:0] iter: 900/1100, loss: 0.4470080137252808, latency(ms): 126.9335032999515533 | 2022-05-14 01:51:54.203
[rank:0] iter: 1000/1100, loss: 0.4465833008289337, latency(ms): 129.1386855393648148 | 2022-05-14 01:52:07.117
[rank:0] iter: 1100/1100, loss: 0.4466314017772675, latency(ms): 131.6708740592002869 | 2022-05-14 01:52:20.284