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: 0.4956718087196350, latency(ms): 217.9909922555088997 | 2022-05-12 01:47:57.079
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/12 01:47:57.097, Tesla V100-SXM2-32GB, 470.57.02, 50 %, 24 %, 32510 MiB, 27764 MiB, 4746 MiB
[rank:0] iter: 200/1100, loss: 0.4654345810413361, latency(ms): 173.8453982770442963 | 2022-05-12 01:48:14.464
[rank:0] iter: 300/1100, loss: 0.4584632813930511, latency(ms): 175.0213890522718430 | 2022-05-12 01:48:31.966
[rank:0] iter: 400/1100, loss: 0.4506395757198334, latency(ms): 181.2086667865514755 | 2022-05-12 01:48:50.087
[rank:0] iter: 500/1100, loss: 0.4488183856010437, latency(ms): 185.7822086662054062 | 2022-05-12 01:49:08.665
[rank:0] iter: 600/1100, loss: 0.4444234073162079, latency(ms): 167.9642508178949356 | 2022-05-12 01:49:25.461
[rank:0] iter: 700/1100, loss: 0.4379249513149261, latency(ms): 166.0345939546823502 | 2022-05-12 01:49:42.065
[rank:0] iter: 800/1100, loss: 0.4386148750782013, latency(ms): 166.0084604844450951 | 2022-05-12 01:49:58.666
[rank:0] iter: 900/1100, loss: 0.4311948716640472, latency(ms): 165.9979489445686340 | 2022-05-12 01:50:15.266
[rank:0] iter: 1000/1100, loss: 0.4270665049552917, latency(ms): 166.2415188923478127 | 2022-05-12 01:50:31.890
[rank:0] iter: 1100/1100, loss: 0.4281230866909027, latency(ms): 169.8855377733707428 | 2022-05-12 01:50:48.878