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: 0.5049968957901001, latency(ms): 163.6366049200296402 | 2022-04-27 10:24:26.314
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/27 10:24:26.342, Tesla V100-SXM2-32GB, 470.57.02, 41 %, 17 %, 32510 MiB, 28960 MiB, 3550 MiB
[rank:0] iter: 200/1100, loss: 0.4702985286712646, latency(ms): 114.9836118146777153 | 2022-04-27 10:24:37.812
[rank:0] iter: 300/1100, loss: 0.4634778499603271, latency(ms): 115.4839773848652840 | 2022-04-27 10:24:49.361
[rank:0] iter: 400/1100, loss: 0.4600973129272461, latency(ms): 114.7858246788382530 | 2022-04-27 10:25:00.839
[rank:0] iter: 500/1100, loss: 0.4572791159152985, latency(ms): 124.1598754376173019 | 2022-04-27 10:25:13.255
[rank:0] iter: 600/1100, loss: 0.4523096978664398, latency(ms): 127.0717883110046387 | 2022-04-27 10:25:25.962
[rank:0] iter: 700/1100, loss: 0.4467771947383881, latency(ms): 121.6453529149293900 | 2022-04-27 10:25:38.127
[rank:0] iter: 800/1100, loss: 0.4475376009941101, latency(ms): 125.3523565456271172 | 2022-04-27 10:25:50.662
[rank:0] iter: 900/1100, loss: 0.4467944800853729, latency(ms): 126.4646565914154053 | 2022-04-27 10:26:03.309
[rank:0] iter: 1000/1100, loss: 0.4463570117950439, latency(ms): 130.3310118243098259 | 2022-04-27 10:26:16.342
[rank:0] iter: 1100/1100, loss: 0.4464335739612579, latency(ms): 134.0378857776522636 | 2022-04-27 10:26:29.745