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 ............................................. 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: 0.5028518438339233, latency(ms): 343.8341436907649040 | 2022-05-08 01:49:10.340
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/08 01:49:10.367, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 27086 MiB, 5424 MiB
[rank:0] iter: 200/1100, loss: 0.4712671637535095, latency(ms): 300.1062501594424248 | 2022-05-08 01:49:40.350
[rank:0] iter: 300/1100, loss: 0.4606936573982239, latency(ms): 300.0237239897251129 | 2022-05-08 01:50:10.353
[rank:0] iter: 400/1100, loss: 0.4526360332965851, latency(ms): 300.8969639614224434 | 2022-05-08 01:50:40.442
[rank:0] iter: 500/1100, loss: 0.4510912597179413, latency(ms): 300.1140865311026573 | 2022-05-08 01:51:10.454
[rank:0] iter: 600/1100, loss: 0.4459201097488403, latency(ms): 300.0892907008528709 | 2022-05-08 01:51:40.463
[rank:0] iter: 700/1100, loss: 0.4402118027210236, latency(ms): 300.9349206835031509 | 2022-05-08 01:52:10.556
[rank:0] iter: 800/1100, loss: 0.4416876733303070, latency(ms): 299.9392608553171158 | 2022-05-08 01:52:40.550
[rank:0] iter: 900/1100, loss: 0.4335922300815582, latency(ms): 301.0282655060291290 | 2022-05-08 01:53:10.653
[rank:0] iter: 1000/1100, loss: 0.4307121038436890, latency(ms): 305.2071147412061691 | 2022-05-08 01:53:41.174
[rank:0] iter: 1100/1100, loss: 0.4326813817024231, latency(ms): 302.9028515890240669 | 2022-05-08 01:54:11.464