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 ...................................... 65536
  batch_size_per_proc ............................. 8192
  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: 0.0621565282344818, latency(ms): 206.6851210594177246 | 2022-04-13 02:05:27.315
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/13 02:05:27.433, Tesla V100-SXM2-32GB, 470.57.02, 39 %, 14 %, 32510 MiB, 30143 MiB, 2367 MiB
2022/04/13 02:05:27.439, Tesla V100-SXM2-32GB, 470.57.02, 66 %, 20 %, 32510 MiB, 30143 MiB, 2367 MiB
2022/04/13 02:05:27.443, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 19 %, 32510 MiB, 30317 MiB, 2193 MiB
2022/04/13 02:05:27.449, Tesla V100-SXM2-32GB, 470.57.02, 52 %, 16 %, 32510 MiB, 30309 MiB, 2201 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/13 02:05:27.455, Tesla V100-SXM2-32GB, 470.57.02, 15 %, 6 %, 32510 MiB, 30309 MiB, 2201 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/13 02:05:27.457, Tesla V100-SXM2-32GB, 470.57.02, 39 %, 14 %, 32510 MiB, 30143 MiB, 2367 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/13 02:05:27.462, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 22 %, 32510 MiB, 30159 MiB, 2351 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/13 02:05:27.462, Tesla V100-SXM2-32GB, 470.57.02, 39 %, 14 %, 32510 MiB, 30143 MiB, 2367 MiB
2022/04/13 02:05:27.464, Tesla V100-SXM2-32GB, 470.57.02, 66 %, 20 %, 32510 MiB, 30143 MiB, 2367 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]
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/13 02:05:27.466, Tesla V100-SXM2-32GB, 470.57.02, 39 %, 14 %, 32510 MiB, 30143 MiB, 2367 MiB
2022/04/13 02:05:27.467, Tesla V100-SXM2-32GB, 470.57.02, 25 %, 7 %, 32510 MiB, 30023 MiB, 2487 MiB
2022/04/13 02:05:27.467, Tesla V100-SXM2-32GB, 470.57.02, 66 %, 20 %, 32510 MiB, 30143 MiB, 2367 MiB
2022/04/13 02:05:27.467, Tesla V100-SXM2-32GB, 470.57.02, 39 %, 14 %, 32510 MiB, 30143 MiB, 2367 MiB
2022/04/13 02:05:27.468, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 19 %, 32510 MiB, 30317 MiB, 2193 MiB
2022/04/13 02:05:27.470, Tesla V100-SXM2-32GB, 470.57.02, 39 %, 14 %, 32510 MiB, 30143 MiB, 2367 MiB
2022/04/13 02:05:27.472, Tesla V100-SXM2-32GB, 470.57.02, 66 %, 20 %, 32510 MiB, 30143 MiB, 2367 MiB
2022/04/13 02:05:27.471, Tesla V100-SXM2-32GB, 470.57.02, 39 %, 14 %, 32510 MiB, 30143 MiB, 2367 MiB
2022/04/13 02:05:27.472, Tesla V100-SXM2-32GB, 470.57.02, 5 %, 2 %, 32510 MiB, 30197 MiB, 2313 MiB
2022/04/13 02:05:27.472, Tesla V100-SXM2-32GB, 470.57.02, 39 %, 14 %, 32510 MiB, 30143 MiB, 2367 MiB
2022/04/13 02:05:27.473, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 19 %, 32510 MiB, 30317 MiB, 2193 MiB
2022/04/13 02:05:27.474, Tesla V100-SXM2-32GB, 470.57.02, 66 %, 20 %, 32510 MiB, 30143 MiB, 2367 MiB
2022/04/13 02:05:27.475, Tesla V100-SXM2-32GB, 470.57.02, 52 %, 16 %, 32510 MiB, 30309 MiB, 2201 MiB
2022/04/13 02:05:27.479, Tesla V100-SXM2-32GB, 470.57.02, 66 %, 20 %, 32510 MiB, 30143 MiB, 2367 MiB
2022/04/13 02:05:27.480, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 19 %, 32510 MiB, 30317 MiB, 2193 MiB
2022/04/13 02:05:27.481, Tesla V100-SXM2-32GB, 470.57.02, 66 %, 20 %, 32510 MiB, 30143 MiB, 2367 MiB
2022/04/13 02:05:27.481, Tesla V100-SXM2-32GB, 470.57.02, 66 %, 20 %, 32510 MiB, 30143 MiB, 2367 MiB
2022/04/13 02:05:27.482, Tesla V100-SXM2-32GB, 470.57.02, 52 %, 16 %, 32510 MiB, 30309 MiB, 2201 MiB
2022/04/13 02:05:27.482, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 19 %, 32510 MiB, 30317 MiB, 2193 MiB
2022/04/13 02:05:27.484, Tesla V100-SXM2-32GB, 470.57.02, 15 %, 6 %, 32510 MiB, 30309 MiB, 2201 MiB
2022/04/13 02:05:27.488, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 19 %, 32510 MiB, 30317 MiB, 2193 MiB
2022/04/13 02:05:27.488, Tesla V100-SXM2-32GB, 470.57.02, 52 %, 16 %, 32510 MiB, 30309 MiB, 2201 MiB
2022/04/13 02:05:27.489, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 19 %, 32510 MiB, 30317 MiB, 2193 MiB
2022/04/13 02:05:27.489, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 19 %, 32510 MiB, 30317 MiB, 2193 MiB
2022/04/13 02:05:27.490, Tesla V100-SXM2-32GB, 470.57.02, 15 %, 6 %, 32510 MiB, 30309 MiB, 2201 MiB
2022/04/13 02:05:27.491, Tesla V100-SXM2-32GB, 470.57.02, 52 %, 16 %, 32510 MiB, 30309 MiB, 2201 MiB
2022/04/13 02:05:27.492, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 22 %, 32510 MiB, 30159 MiB, 2351 MiB
2022/04/13 02:05:27.496, Tesla V100-SXM2-32GB, 470.57.02, 52 %, 16 %, 32510 MiB, 30309 MiB, 2201 MiB
2022/04/13 02:05:27.497, Tesla V100-SXM2-32GB, 470.57.02, 15 %, 6 %, 32510 MiB, 30309 MiB, 2201 MiB
2022/04/13 02:05:27.497, Tesla V100-SXM2-32GB, 470.57.02, 52 %, 16 %, 32510 MiB, 30309 MiB, 2201 MiB
2022/04/13 02:05:27.497, Tesla V100-SXM2-32GB, 470.57.02, 52 %, 16 %, 32510 MiB, 30309 MiB, 2201 MiB
2022/04/13 02:05:27.498, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 22 %, 32510 MiB, 30159 MiB, 2351 MiB
2022/04/13 02:05:27.499, Tesla V100-SXM2-32GB, 470.57.02, 15 %, 6 %, 32510 MiB, 30309 MiB, 2201 MiB
2022/04/13 02:05:27.500, Tesla V100-SXM2-32GB, 470.57.02, 25 %, 7 %, 32510 MiB, 30023 MiB, 2487 MiB
2022/04/13 02:05:27.504, Tesla V100-SXM2-32GB, 470.57.02, 15 %, 6 %, 32510 MiB, 30309 MiB, 2201 MiB
2022/04/13 02:05:27.505, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 22 %, 32510 MiB, 30159 MiB, 2351 MiB
2022/04/13 02:05:27.505, Tesla V100-SXM2-32GB, 470.57.02, 15 %, 6 %, 32510 MiB, 30309 MiB, 2201 MiB
2022/04/13 02:05:27.506, Tesla V100-SXM2-32GB, 470.57.02, 15 %, 6 %, 32510 MiB, 30309 MiB, 2201 MiB
2022/04/13 02:05:27.506, Tesla V100-SXM2-32GB, 470.57.02, 25 %, 7 %, 32510 MiB, 30023 MiB, 2487 MiB
2022/04/13 02:05:27.507, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30159 MiB, 2351 MiB
2022/04/13 02:05:27.508, Tesla V100-SXM2-32GB, 470.57.02, 5 %, 2 %, 32510 MiB, 30197 MiB, 2313 MiB
2022/04/13 02:05:27.515, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30159 MiB, 2351 MiB
2022/04/13 02:05:27.516, Tesla V100-SXM2-32GB, 470.57.02, 25 %, 7 %, 32510 MiB, 30023 MiB, 2487 MiB
2022/04/13 02:05:27.516, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30159 MiB, 2351 MiB
2022/04/13 02:05:27.517, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30159 MiB, 2351 MiB
2022/04/13 02:05:27.518, Tesla V100-SXM2-32GB, 470.57.02, 5 %, 2 %, 32510 MiB, 30197 MiB, 2313 MiB
2022/04/13 02:05:27.519, Tesla V100-SXM2-32GB, 470.57.02, 25 %, 7 %, 32510 MiB, 30023 MiB, 2487 MiB
2022/04/13 02:05:27.523, Tesla V100-SXM2-32GB, 470.57.02, 25 %, 7 %, 32510 MiB, 30023 MiB, 2487 MiB
2022/04/13 02:05:27.524, Tesla V100-SXM2-32GB, 470.57.02, 5 %, 2 %, 32510 MiB, 30197 MiB, 2313 MiB
2022/04/13 02:05:27.524, Tesla V100-SXM2-32GB, 470.57.02, 25 %, 7 %, 32510 MiB, 30023 MiB, 2487 MiB
2022/04/13 02:05:27.524, Tesla V100-SXM2-32GB, 470.57.02, 25 %, 7 %, 32510 MiB, 30023 MiB, 2487 MiB
2022/04/13 02:05:27.525, Tesla V100-SXM2-32GB, 470.57.02, 5 %, 2 %, 32510 MiB, 30197 MiB, 2313 MiB
2022/04/13 02:05:27.529, Tesla V100-SXM2-32GB, 470.57.02, 5 %, 2 %, 32510 MiB, 30197 MiB, 2313 MiB
2022/04/13 02:05:27.530, Tesla V100-SXM2-32GB, 470.57.02, 5 %, 2 %, 32510 MiB, 30197 MiB, 2313 MiB
2022/04/13 02:05:27.530, Tesla V100-SXM2-32GB, 470.57.02, 5 %, 2 %, 32510 MiB, 30197 MiB, 2313 MiB
[rank:0] iter: 200/1100, loss: 0.0584674924612045, latency(ms): 14.9174735322594643 | 2022-04-13 02:05:28.806
[rank:0] iter: 300/1100, loss: 0.0577841699123383, latency(ms): 11.7604416608810425 | 2022-04-13 02:05:29.982
[rank:0] iter: 400/1100, loss: 0.0574014708399773, latency(ms): 12.2578981891274452 | 2022-04-13 02:05:31.208
[rank:0] iter: 500/1100, loss: 0.0570874065160751, latency(ms): 12.5385125353932381 | 2022-04-13 02:05:32.462
[rank:0] iter: 600/1100, loss: 0.0566339790821075, latency(ms): 12.2308978810906410 | 2022-04-13 02:05:33.685
[rank:0] iter: 700/1100, loss: 0.0558563321828842, latency(ms): 11.8635498732328415 | 2022-04-13 02:05:34.871
[rank:0] iter: 800/1100, loss: 0.0558333024382591, latency(ms): 12.0014160498976707 | 2022-04-13 02:05:36.072
[rank:0] iter: 900/1100, loss: 0.0557293556630611, latency(ms): 12.2587674111127853 | 2022-04-13 02:05:37.297
[rank:0] iter: 1000/1100, loss: 0.0555397309362888, latency(ms): 12.4080414324998856 | 2022-04-13 02:05:38.538
[rank:0] iter: 1100/1100, loss: 0.0557014606893063, latency(ms): 12.2768070548772812 | 2022-04-13 02:05:39.766