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 ...................................... 65536
  batch_size_per_proc ............................. 65536
  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: 0.4972826242446899, latency(ms): 138.9662688225507736 | 2022-04-03 01:39:27.154
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/03 01:39:27.175, Tesla V100-SXM2-32GB, 470.57.02, 46 %, 17 %, 32510 MiB, 29372 MiB, 3138 MiB
[rank:0] iter: 200/1100, loss: 0.4675486385822296, latency(ms): 90.6819386407732964 | 2022-04-03 01:39:36.223
[rank:0] iter: 300/1100, loss: 0.4618114233016968, latency(ms): 90.2606334537267685 | 2022-04-03 01:39:45.249
[rank:0] iter: 400/1100, loss: 0.4590928554534912, latency(ms): 90.9275671094655991 | 2022-04-03 01:39:54.341
[rank:0] iter: 500/1100, loss: 0.4563410878181458, latency(ms): 91.1255598440766335 | 2022-04-03 01:40:03.454
[rank:0] iter: 600/1100, loss: 0.4523547291755676, latency(ms): 89.9735417589545250 | 2022-04-03 01:40:12.451
[rank:0] iter: 700/1100, loss: 0.4465912282466888, latency(ms): 89.0895131602883339 | 2022-04-03 01:40:21.360
[rank:0] iter: 800/1100, loss: 0.4461837708950043, latency(ms): 94.9387652054429054 | 2022-04-03 01:40:30.854
[rank:0] iter: 900/1100, loss: 0.4454100430011749, latency(ms): 91.0102953389286995 | 2022-04-03 01:40:39.955
[rank:0] iter: 1000/1100, loss: 0.4451100528240204, latency(ms): 90.9327397122979164 | 2022-04-03 01:40:49.048
[rank:0] iter: 1100/1100, loss: 0.4447927176952362, latency(ms): 91.0527111962437630 | 2022-04-03 01:40:58.154