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 ............................................. 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: 0.5052055120468140, latency(ms): 159.2646303400397301 | 2022-05-22 02:04:06.785
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/22 02:04:06.814, Tesla V100-SXM2-32GB, 470.57.02, 55 %, 24 %, 32510 MiB, 28954 MiB, 3556 MiB
[rank:0] iter: 200/1100, loss: 0.4745675027370453, latency(ms): 116.9271124154329300 | 2022-05-22 02:04:18.478
[rank:0] iter: 300/1100, loss: 0.4643900692462921, latency(ms): 115.4392801597714424 | 2022-05-22 02:04:30.022
[rank:0] iter: 400/1100, loss: 0.4609205126762390, latency(ms): 115.6409806758165359 | 2022-05-22 02:04:41.586
[rank:0] iter: 500/1100, loss: 0.4578341245651245, latency(ms): 115.7360270991921425 | 2022-05-22 02:04:53.160
[rank:0] iter: 600/1100, loss: 0.4528258144855499, latency(ms): 118.0465873330831528 | 2022-05-22 02:05:04.964
[rank:0] iter: 700/1100, loss: 0.4472997188568115, latency(ms): 122.2293637320399284 | 2022-05-22 02:05:17.187
[rank:0] iter: 800/1100, loss: 0.4481494426727295, latency(ms): 120.3145547211170197 | 2022-05-22 02:05:29.219
[rank:0] iter: 900/1100, loss: 0.4471678435802460, latency(ms): 122.0132970437407494 | 2022-05-22 02:05:41.420
[rank:0] iter: 1000/1100, loss: 0.4466455578804016, latency(ms): 125.1035101711750031 | 2022-05-22 02:05:53.930
[rank:0] iter: 1100/1100, loss: 0.4467127323150635, latency(ms): 126.0732251033186913 | 2022-05-22 02:06:06.538