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: 0.4941609203815460, latency(ms): 222.8018687665462494 | 2022-05-27 01:46:27.969
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/27 01:46:27.990, Tesla V100-SXM2-32GB, 470.57.02, 46 %, 20 %, 32510 MiB, 27758 MiB, 4752 MiB
[rank:0] iter: 200/1100, loss: 0.4646150469779968, latency(ms): 173.9260348677635193 | 2022-05-27 01:46:45.362
[rank:0] iter: 300/1100, loss: 0.4577874243259430, latency(ms): 161.2234767153859138 | 2022-05-27 01:47:01.484
[rank:0] iter: 400/1100, loss: 0.4499573111534119, latency(ms): 159.4478080794215202 | 2022-05-27 01:47:17.429
[rank:0] iter: 500/1100, loss: 0.4483131468296051, latency(ms): 161.3124302029609680 | 2022-05-27 01:47:33.560
[rank:0] iter: 600/1100, loss: 0.4439291656017303, latency(ms): 161.3377714157104492 | 2022-05-27 01:47:49.694
[rank:0] iter: 700/1100, loss: 0.4374871551990509, latency(ms): 163.7299881502985954 | 2022-05-27 01:48:06.067
[rank:0] iter: 800/1100, loss: 0.4380758702754974, latency(ms): 164.1639488190412521 | 2022-05-27 01:48:22.483
[rank:0] iter: 900/1100, loss: 0.4307310879230499, latency(ms): 179.9783061817288399 | 2022-05-27 01:48:40.481
[rank:0] iter: 1000/1100, loss: 0.4266058802604675, latency(ms): 174.4836584106087685 | 2022-05-27 01:48:57.929
[rank:0] iter: 1100/1100, loss: 0.4277384281158447, latency(ms): 175.3742109239101410 | 2022-05-27 01:49:15.467