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: 0.4978021979331970, latency(ms): 138.6117381975054741 | 2022-04-08 01:40:48.925
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/08 01:40:48.945, Tesla V100-SXM2-32GB, 470.57.02, 45 %, 17 %, 32510 MiB, 29372 MiB, 3138 MiB
[rank:0] iter: 200/1100, loss: 0.4677650928497314, latency(ms): 92.2476397082209587 | 2022-04-08 01:40:58.150
[rank:0] iter: 300/1100, loss: 0.4620605707168579, latency(ms): 92.0546751096844673 | 2022-04-08 01:41:07.355
[rank:0] iter: 400/1100, loss: 0.4593572914600372, latency(ms): 93.9382957294583321 | 2022-04-08 01:41:16.749
[rank:0] iter: 500/1100, loss: 0.4565081894397736, latency(ms): 92.7580099180340767 | 2022-04-08 01:41:26.025
[rank:0] iter: 600/1100, loss: 0.4526875019073486, latency(ms): 92.2491481155157089 | 2022-04-08 01:41:35.250
[rank:0] iter: 700/1100, loss: 0.4468913972377777, latency(ms): 95.0807318836450577 | 2022-04-08 01:41:44.758
[rank:0] iter: 800/1100, loss: 0.4465288817882538, latency(ms): 93.9684065058827400 | 2022-04-08 01:41:54.155
[rank:0] iter: 900/1100, loss: 0.4457463324069977, latency(ms): 95.8670169860124588 | 2022-04-08 01:42:03.741
[rank:0] iter: 1000/1100, loss: 0.4453181922435760, latency(ms): 90.1343983039259911 | 2022-04-08 01:42:12.755
[rank:0] iter: 1100/1100, loss: 0.4450605809688568, latency(ms): 94.0001275762915611 | 2022-04-08 01:42:22.155