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: 0.4952454864978790, latency(ms): 222.3635502532124519 | 2022-04-29 01:43:55.684
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/29 01:43:55.704, Tesla V100-SXM2-32GB, 470.57.02, 48 %, 19 %, 32510 MiB, 27892 MiB, 4618 MiB
[rank:0] iter: 200/1100, loss: 0.4652098715305328, latency(ms): 180.8342825248837471 | 2022-04-29 01:44:13.768
[rank:0] iter: 300/1100, loss: 0.4581451117992401, latency(ms): 174.9789619073271751 | 2022-04-29 01:44:31.266
[rank:0] iter: 400/1100, loss: 0.4502126276493073, latency(ms): 158.0977468565106392 | 2022-04-29 01:44:47.075
[rank:0] iter: 500/1100, loss: 0.4485135376453400, latency(ms): 156.9837423041462898 | 2022-04-29 01:45:02.774
[rank:0] iter: 600/1100, loss: 0.4440209865570068, latency(ms): 158.9739474281668663 | 2022-04-29 01:45:18.671
[rank:0] iter: 700/1100, loss: 0.4374855458736420, latency(ms): 156.0835854709148407 | 2022-04-29 01:45:34.280
[rank:0] iter: 800/1100, loss: 0.4382063746452332, latency(ms): 160.5075467005372047 | 2022-04-29 01:45:50.330
[rank:0] iter: 900/1100, loss: 0.4306511282920837, latency(ms): 163.4485612809658051 | 2022-04-29 01:46:06.675
[rank:0] iter: 1000/1100, loss: 0.4263267815113068, latency(ms): 179.0230886638164520 | 2022-04-29 01:46:24.577
[rank:0] iter: 1100/1100, loss: 0.4275407791137695, latency(ms): 173.8310284167528152 | 2022-04-29 01:46:41.961