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: 0.5036869645118713, latency(ms): 348.7170669063925743 | 2022-05-23 01:50:16.450
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/23 01:50:16.496, Tesla V100-SXM2-32GB, 470.57.02, 55 %, 22 %, 32510 MiB, 27080 MiB, 5430 MiB
[rank:0] iter: 200/1100, loss: 0.4704950749874115, latency(ms): 302.9241550713777542 | 2022-05-23 01:50:46.743
[rank:0] iter: 300/1100, loss: 0.4607756137847900, latency(ms): 304.2450989782810211 | 2022-05-23 01:51:17.167
[rank:0] iter: 400/1100, loss: 0.4528299570083618, latency(ms): 302.8919623419642448 | 2022-05-23 01:51:47.456
[rank:0] iter: 500/1100, loss: 0.4513881206512451, latency(ms): 303.1262870132923126 | 2022-05-23 01:52:17.769
[rank:0] iter: 600/1100, loss: 0.4462875425815582, latency(ms): 302.9789763689041138 | 2022-05-23 01:52:48.067
[rank:0] iter: 700/1100, loss: 0.4405773878097534, latency(ms): 307.1052090078592300 | 2022-05-23 01:53:18.777
[rank:0] iter: 800/1100, loss: 0.4420188665390015, latency(ms): 304.7971116006374359 | 2022-05-23 01:53:49.257
[rank:0] iter: 900/1100, loss: 0.4341072142124176, latency(ms): 303.3942488580942154 | 2022-05-23 01:54:19.597
[rank:0] iter: 1000/1100, loss: 0.4311748445034027, latency(ms): 306.6997868195176125 | 2022-05-23 01:54:50.266
[rank:0] iter: 1100/1100, loss: 0.4331136643886566, latency(ms): 304.0357361733913422 | 2022-05-23 01:55:20.670