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: 0.5044293403625488, latency(ms): 161.0753032192587852 | 2022-04-10 01:45:11.670
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/10 01:45:11.704, Tesla V100-SXM2-32GB, 470.57.02, 33 %, 14 %, 32510 MiB, 28992 MiB, 3518 MiB
[rank:0] iter: 200/1100, loss: 0.4695471823215485, latency(ms): 114.1193181276321411 | 2022-04-10 01:45:23.082
[rank:0] iter: 300/1100, loss: 0.4632895588874817, latency(ms): 112.9784041643142700 | 2022-04-10 01:45:34.380
[rank:0] iter: 400/1100, loss: 0.4600537121295929, latency(ms): 113.3340698108077049 | 2022-04-10 01:45:45.713
[rank:0] iter: 500/1100, loss: 0.4571623206138611, latency(ms): 117.3006422445178032 | 2022-04-10 01:45:57.443
[rank:0] iter: 600/1100, loss: 0.4521570205688477, latency(ms): 117.3029964044690132 | 2022-04-10 01:46:09.174
[rank:0] iter: 700/1100, loss: 0.4465203583240509, latency(ms): 115.9745381027460098 | 2022-04-10 01:46:20.771
[rank:0] iter: 800/1100, loss: 0.4473339915275574, latency(ms): 119.1980923712253571 | 2022-04-10 01:46:32.691
[rank:0] iter: 900/1100, loss: 0.4466506540775299, latency(ms): 122.6034738495945930 | 2022-04-10 01:46:44.951
[rank:0] iter: 1000/1100, loss: 0.4461858868598938, latency(ms): 124.7672965005040169 | 2022-04-10 01:46:57.428
[rank:0] iter: 1100/1100, loss: 0.4462816715240479, latency(ms): 125.0604907795786858 | 2022-04-10 01:47:09.934