loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1
*****************************************
Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
*****************************************
loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1
loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1
loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1
loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1
loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1
loaded library: loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1/usr/lib/x86_64-linux-gnu/libibverbs.so.1

loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1
------------------------ arguments ------------------------
  batch_size ...................................... 512
  batch_size_per_proc ............................. 64
  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: 0.5363079905509949, latency(ms): 76.0832092165946960 | 2022-04-21 16:45:21.509
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/21 16:45:21.646, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 12 %, 32510 MiB, 30340 MiB, 2170 MiB
2022/04/21 16:45:21.653, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 65 %, 32510 MiB, 30360 MiB, 2150 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/21 16:45:21.661, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 11 %, 32510 MiB, 30436 MiB, 2074 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/21 16:45:21.666, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 12 %, 32510 MiB, 30340 MiB, 2170 MiB
2022/04/21 16:45:21.669, Tesla V100-SXM2-32GB, 470.57.02, 24 %, 21 %, 32510 MiB, 30412 MiB, 2098 MiB
2022/04/21 16:45:21.669, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 12 %, 32510 MiB, 30340 MiB, 2170 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/21 16:45:21.676, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 65 %, 32510 MiB, 30360 MiB, 2150 MiB
2022/04/21 16:45:21.676, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 12 %, 32510 MiB, 30340 MiB, 2170 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/21 16:45:21.678, Tesla V100-SXM2-32GB, 470.57.02, 14 %, 12 %, 32510 MiB, 30420 MiB, 2090 MiB
2022/04/21 16:45:21.678, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 65 %, 32510 MiB, 30360 MiB, 2150 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/21 16:45:21.682, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 12 %, 32510 MiB, 30340 MiB, 2170 MiB
2022/04/21 16:45:21.683, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 11 %, 32510 MiB, 30436 MiB, 2074 MiB
2022/04/21 16:45:21.684, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 65 %, 32510 MiB, 30360 MiB, 2150 MiB
2022/04/21 16:45:21.685, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 55 %, 32510 MiB, 30352 MiB, 2158 MiB
2022/04/21 16:45:21.685, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 12 %, 32510 MiB, 30340 MiB, 2170 MiB
2022/04/21 16:45:21.686, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 11 %, 32510 MiB, 30436 MiB, 2074 MiB
2022/04/21 16:45:21.686, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 12 %, 32510 MiB, 30340 MiB, 2170 MiB
2022/04/21 16:45:21.687, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 12 %, 32510 MiB, 30340 MiB, 2170 MiB
2022/04/21 16:45:21.691, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 65 %, 32510 MiB, 30360 MiB, 2150 MiB
2022/04/21 16:45:21.692, Tesla V100-SXM2-32GB, 470.57.02, 24 %, 21 %, 32510 MiB, 30412 MiB, 2098 MiB
2022/04/21 16:45:21.693, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 11 %, 32510 MiB, 30436 MiB, 2074 MiB
2022/04/21 16:45:21.694, Tesla V100-SXM2-32GB, 470.57.02, 6 %, 5 %, 32510 MiB, 30296 MiB, 2214 MiB
2022/04/21 16:45:21.695, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30360 MiB, 2150 MiB
2022/04/21 16:45:21.696, Tesla V100-SXM2-32GB, 470.57.02, 24 %, 21 %, 32510 MiB, 30412 MiB, 2098 MiB
2022/04/21 16:45:21.697, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30360 MiB, 2150 MiB
2022/04/21 16:45:21.699, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30360 MiB, 2150 MiB
2022/04/21 16:45:21.702, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 11 %, 32510 MiB, 30436 MiB, 2074 MiB
2022/04/21 16:45:21.702, Tesla V100-SXM2-32GB, 470.57.02, 14 %, 12 %, 32510 MiB, 30420 MiB, 2090 MiB
2022/04/21 16:45:21.703, Tesla V100-SXM2-32GB, 470.57.02, 24 %, 21 %, 32510 MiB, 30412 MiB, 2098 MiB
2022/04/21 16:45:21.706, Tesla V100-SXM2-32GB, 470.57.02, 52 %, 46 %, 32510 MiB, 30376 MiB, 2134 MiB
2022/04/21 16:45:21.707, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 11 %, 32510 MiB, 30436 MiB, 2074 MiB
2022/04/21 16:45:21.707, Tesla V100-SXM2-32GB, 470.57.02, 14 %, 12 %, 32510 MiB, 30420 MiB, 2090 MiB
2022/04/21 16:45:21.709, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 11 %, 32510 MiB, 30436 MiB, 2074 MiB
2022/04/21 16:45:21.710, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 11 %, 32510 MiB, 30436 MiB, 2074 MiB
2022/04/21 16:45:21.713, Tesla V100-SXM2-32GB, 470.57.02, 24 %, 21 %, 32510 MiB, 30412 MiB, 2098 MiB
2022/04/21 16:45:21.714, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30352 MiB, 2158 MiB
2022/04/21 16:45:21.715, Tesla V100-SXM2-32GB, 470.57.02, 14 %, 12 %, 32510 MiB, 30420 MiB, 2090 MiB
2022/04/21 16:45:21.717, Tesla V100-SXM2-32GB, 470.57.02, 24 %, 21 %, 32510 MiB, 30412 MiB, 2098 MiB
2022/04/21 16:45:21.718, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30352 MiB, 2158 MiB
2022/04/21 16:45:21.720, Tesla V100-SXM2-32GB, 470.57.02, 24 %, 21 %, 32510 MiB, 30412 MiB, 2098 MiB
2022/04/21 16:45:21.721, Tesla V100-SXM2-32GB, 470.57.02, 24 %, 21 %, 32510 MiB, 30412 MiB, 2098 MiB
2022/04/21 16:45:21.724, Tesla V100-SXM2-32GB, 470.57.02, 14 %, 12 %, 32510 MiB, 30420 MiB, 2090 MiB
2022/04/21 16:45:21.724, Tesla V100-SXM2-32GB, 470.57.02, 6 %, 5 %, 32510 MiB, 30296 MiB, 2214 MiB
2022/04/21 16:45:21.725, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30352 MiB, 2158 MiB
2022/04/21 16:45:21.728, Tesla V100-SXM2-32GB, 470.57.02, 14 %, 12 %, 32510 MiB, 30420 MiB, 2090 MiB
2022/04/21 16:45:21.728, Tesla V100-SXM2-32GB, 470.57.02, 6 %, 5 %, 32510 MiB, 30296 MiB, 2214 MiB
2022/04/21 16:45:21.730, Tesla V100-SXM2-32GB, 470.57.02, 14 %, 12 %, 32510 MiB, 30420 MiB, 2090 MiB
2022/04/21 16:45:21.731, Tesla V100-SXM2-32GB, 470.57.02, 14 %, 12 %, 32510 MiB, 30420 MiB, 2090 MiB
2022/04/21 16:45:21.734, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30352 MiB, 2158 MiB
2022/04/21 16:45:21.734, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30376 MiB, 2134 MiB
2022/04/21 16:45:21.735, Tesla V100-SXM2-32GB, 470.57.02, 6 %, 5 %, 32510 MiB, 30296 MiB, 2214 MiB
2022/04/21 16:45:21.737, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30352 MiB, 2158 MiB
2022/04/21 16:45:21.738, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30376 MiB, 2134 MiB
2022/04/21 16:45:21.739, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30352 MiB, 2158 MiB
2022/04/21 16:45:21.741, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30352 MiB, 2158 MiB
2022/04/21 16:45:21.743, Tesla V100-SXM2-32GB, 470.57.02, 6 %, 5 %, 32510 MiB, 30296 MiB, 2214 MiB
2022/04/21 16:45:21.745, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30376 MiB, 2134 MiB
2022/04/21 16:45:21.747, Tesla V100-SXM2-32GB, 470.57.02, 6 %, 5 %, 32510 MiB, 30296 MiB, 2214 MiB
2022/04/21 16:45:21.750, Tesla V100-SXM2-32GB, 470.57.02, 6 %, 5 %, 32510 MiB, 30296 MiB, 2214 MiB
2022/04/21 16:45:21.751, Tesla V100-SXM2-32GB, 470.57.02, 6 %, 5 %, 32510 MiB, 30296 MiB, 2214 MiB
2022/04/21 16:45:21.753, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30376 MiB, 2134 MiB
2022/04/21 16:45:21.760, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30376 MiB, 2134 MiB
2022/04/21 16:45:21.762, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30376 MiB, 2134 MiB
2022/04/21 16:45:21.763, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30376 MiB, 2134 MiB
[rank:0] iter: 200/1100, loss: 0.4839940965175629, latency(ms): 8.9066731557250023 | 2022-04-21 16:45:22.399
[rank:0] iter: 300/1100, loss: 0.4925815165042877, latency(ms): 6.1745011806488037 | 2022-04-21 16:45:23.017
[rank:0] iter: 400/1100, loss: 0.4942421019077301, latency(ms): 6.1811297386884689 | 2022-04-21 16:45:23.635
[rank:0] iter: 500/1100, loss: 0.4919187128543854, latency(ms): 6.2848750129342079 | 2022-04-21 16:45:24.263
[rank:0] iter: 600/1100, loss: 0.4839404821395874, latency(ms): 6.0968322306871414 | 2022-04-21 16:45:24.873
[rank:0] iter: 700/1100, loss: 0.4691474437713623, latency(ms): 5.9815349802374840 | 2022-04-21 16:45:25.471
[rank:0] iter: 800/1100, loss: 0.4792367219924927, latency(ms): 6.1207807809114456 | 2022-04-21 16:45:26.083
[rank:0] iter: 900/1100, loss: 0.4853883087635040, latency(ms): 6.4381735026836395 | 2022-04-21 16:45:26.727
[rank:0] iter: 1000/1100, loss: 0.4799081087112427, latency(ms): 6.3202053308486938 | 2022-04-21 16:45:27.359
[rank:0] iter: 1100/1100, loss: 0.4773141443729401, latency(ms): 6.7077920958399773 | 2022-04-21 16:45:28.030