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 ............................................. 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: 0.5270918607711792, latency(ms): 34.0769475698471069 | 2022-05-11 01:49:32.375
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/11 01:49:32.418, Tesla V100-SXM2-32GB, 470.57.02, 99 %, 98 %, 32510 MiB, 30676 MiB, 1834 MiB
[rank:0] iter: 200/1100, loss: 0.4998710751533508, latency(ms): 4.3808570504188538 | 2022-05-11 01:49:32.813
[rank:0] iter: 300/1100, loss: 0.4963383376598358, latency(ms): 3.9966817572712898 | 2022-05-11 01:49:33.213
[rank:0] iter: 400/1100, loss: 0.4923730492591858, latency(ms): 4.0203573182225227 | 2022-05-11 01:49:33.615
[rank:0] iter: 500/1100, loss: 0.4937499165534973, latency(ms): 3.9692276343703270 | 2022-05-11 01:49:34.012
[rank:0] iter: 600/1100, loss: 0.4817574322223663, latency(ms): 3.9957306906580925 | 2022-05-11 01:49:34.411
[rank:0] iter: 700/1100, loss: 0.4851783812046051, latency(ms): 3.9815658330917358 | 2022-05-11 01:49:34.809
[rank:0] iter: 800/1100, loss: 0.4851006269454956, latency(ms): 4.0019188076257706 | 2022-05-11 01:49:35.210
[rank:0] iter: 900/1100, loss: 0.4854449331760406, latency(ms): 3.9952393621206284 | 2022-05-11 01:49:35.609
[rank:0] iter: 1000/1100, loss: 0.4830214977264404, latency(ms): 4.0139573439955711 | 2022-05-11 01:49:36.011
[rank:0] iter: 1100/1100, loss: 0.4824553430080414, latency(ms): 4.3481127917766571 | 2022-05-11 01:49:36.445