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 ............................................. False
  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 .................................. graph
  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: 0.4955803155899048, latency(ms): 214.8538990691304207 | 2022-05-22 02:00:47.666
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/22 02:00:47.688, Tesla V100-SXM2-32GB, 470.57.02, 93 %, 34 %, 32510 MiB, 27758 MiB, 4752 MiB
[rank:0] iter: 200/1100, loss: 0.4651876091957092, latency(ms): 165.5807585269212723 | 2022-05-22 02:01:04.224
[rank:0] iter: 300/1100, loss: 0.4583639502525330, latency(ms): 164.4844110310077667 | 2022-05-22 02:01:20.673
[rank:0] iter: 400/1100, loss: 0.4505901336669922, latency(ms): 166.8758277595043182 | 2022-05-22 02:01:37.360
[rank:0] iter: 500/1100, loss: 0.4487664103507996, latency(ms): 168.0125684291124344 | 2022-05-22 02:01:54.161
[rank:0] iter: 600/1100, loss: 0.4443514943122864, latency(ms): 168.1488266214728355 | 2022-05-22 02:02:10.976
[rank:0] iter: 700/1100, loss: 0.4378350079059601, latency(ms): 168.8278765603899956 | 2022-05-22 02:02:27.859
[rank:0] iter: 800/1100, loss: 0.4386160969734192, latency(ms): 170.0324335321784019 | 2022-05-22 02:02:44.862
[rank:0] iter: 900/1100, loss: 0.4311245977878571, latency(ms): 167.5990135222673416 | 2022-05-22 02:03:01.622
[rank:0] iter: 1000/1100, loss: 0.4269043207168579, latency(ms): 169.5697950944304466 | 2022-05-22 02:03:18.579
[rank:0] iter: 1100/1100, loss: 0.4280738830566406, latency(ms): 169.8078356310725212 | 2022-05-22 02:03:35.560