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: 0.5051715970039368, latency(ms): 167.6783308759331703 | 2022-04-22 12:05:12.726
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/22 12:05:13.348, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 28960 MiB, 3550 MiB
[rank:0] iter: 200/1100, loss: 0.4704818725585938, latency(ms): 122.8177601471543312 | 2022-04-22 12:05:25.007
[rank:0] iter: 300/1100, loss: 0.4637925624847412, latency(ms): 113.1726529076695442 | 2022-04-22 12:05:36.325
[rank:0] iter: 400/1100, loss: 0.4606420397758484, latency(ms): 117.2366701811552048 | 2022-04-22 12:05:48.048
[rank:0] iter: 500/1100, loss: 0.4577382802963257, latency(ms): 121.5378223732113838 | 2022-04-22 12:06:00.202
[rank:0] iter: 600/1100, loss: 0.4527647495269775, latency(ms): 122.5063137337565422 | 2022-04-22 12:06:12.453
[rank:0] iter: 700/1100, loss: 0.4471304714679718, latency(ms): 123.9229024201631546 | 2022-04-22 12:06:24.845
[rank:0] iter: 800/1100, loss: 0.4478889703750610, latency(ms): 127.9439856484532356 | 2022-04-22 12:06:37.639
[rank:0] iter: 900/1100, loss: 0.4471500813961029, latency(ms): 130.6791395321488380 | 2022-04-22 12:06:50.707
[rank:0] iter: 1000/1100, loss: 0.4465377032756805, latency(ms): 131.3566453382372856 | 2022-04-22 12:07:03.843
[rank:0] iter: 1100/1100, loss: 0.4467044174671173, latency(ms): 134.0688451379537582 | 2022-04-22 12:07:17.250