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: 0.4951350092887878, latency(ms): 216.2359645217657089 | 2022-05-26 01:46:34.092
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/26 01:46:34.140, Tesla V100-SXM2-32GB, 470.57.02, 94 %, 36 %, 32510 MiB, 27758 MiB, 4752 MiB
[rank:0] iter: 200/1100, loss: 0.4648561179637909, latency(ms): 166.3407607749104500 | 2022-05-26 01:46:50.726
[rank:0] iter: 300/1100, loss: 0.4581441879272461, latency(ms): 165.5548940971493721 | 2022-05-26 01:47:07.281
[rank:0] iter: 400/1100, loss: 0.4503141343593597, latency(ms): 166.7503037303686142 | 2022-05-26 01:47:23.956
[rank:0] iter: 500/1100, loss: 0.4485096037387848, latency(ms): 165.0307103991508484 | 2022-05-26 01:47:40.459
[rank:0] iter: 600/1100, loss: 0.4440704286098480, latency(ms): 169.1880736500024796 | 2022-05-26 01:47:57.378
[rank:0] iter: 700/1100, loss: 0.4374870359897614, latency(ms): 169.4542827457189560 | 2022-05-26 01:48:14.324
[rank:0] iter: 800/1100, loss: 0.4381588697433472, latency(ms): 168.9997885003685951 | 2022-05-26 01:48:31.224
[rank:0] iter: 900/1100, loss: 0.4306916892528534, latency(ms): 172.5115672871470451 | 2022-05-26 01:48:48.475
[rank:0] iter: 1000/1100, loss: 0.4263787567615509, latency(ms): 173.0445347726345062 | 2022-05-26 01:49:05.779
[rank:0] iter: 1100/1100, loss: 0.4275771379470825, latency(ms): 172.4326854571700096 | 2022-05-26 01:49:23.023