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 ...................................... 512
  batch_size_per_proc ............................. 512
  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: 0.5245284438133240, latency(ms): 42.1679480001330376 | 2022-04-14 01:41:58.080
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/14 01:41:58.103, Tesla V100-SXM2-32GB, 470.57.02, 56 %, 12 %, 32510 MiB, 31038 MiB, 1472 MiB
[rank:0] iter: 200/1100, loss: 0.5003890991210938, latency(ms): 1.6183860972523689 | 2022-04-14 01:41:58.242
[rank:0] iter: 300/1100, loss: 0.4986160397529602, latency(ms): 1.3503232598304749 | 2022-04-14 01:41:58.377
[rank:0] iter: 400/1100, loss: 0.4921374917030334, latency(ms): 1.6874596104025841 | 2022-04-14 01:41:58.546
[rank:0] iter: 500/1100, loss: 0.4948029220104218, latency(ms): 1.3569944724440575 | 2022-04-14 01:41:58.681
[rank:0] iter: 600/1100, loss: 0.4831725955009460, latency(ms): 1.6478882357478142 | 2022-04-14 01:41:58.846
[rank:0] iter: 700/1100, loss: 0.4873215556144714, latency(ms): 1.3793047145009041 | 2022-04-14 01:41:58.984
[rank:0] iter: 800/1100, loss: 0.4862980246543884, latency(ms): 1.4935393631458282 | 2022-04-14 01:41:59.134
[rank:0] iter: 900/1100, loss: 0.4864051938056946, latency(ms): 1.3287804275751114 | 2022-04-14 01:41:59.266
[rank:0] iter: 1000/1100, loss: 0.4831423163414001, latency(ms): 1.6482137143611908 | 2022-04-14 01:41:59.431
[rank:0] iter: 1100/1100, loss: 0.4832948744297028, latency(ms): 1.3489253073930740 | 2022-04-14 01:41:59.566