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: loaded library: loaded library: loaded library: loaded library: loaded library: loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1/usr/lib/x86_64-linux-gnu/libibverbs.so.1/usr/lib/x86_64-linux-gnu/libibverbs.so.1


/usr/lib/x86_64-linux-gnu/libibverbs.so.1/usr/lib/x86_64-linux-gnu/libibverbs.so.1
/usr/lib/x86_64-linux-gnu/libibverbs.so.1/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: 0.5429134964942932, latency(ms): 79.8694141209125519 | 2022-04-27 11:16:07.388
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]
2022/04/27 11:16:07.567, Tesla V100-SXM2-32GB, 470.57.02, 72 %, 63 %, 32510 MiB, 30338 MiB, 2172 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]
2022/04/27 11:16:07.570, Tesla V100-SXM2-32GB, 470.57.02, 72 %, 63 %, 32510 MiB, 30338 MiB, 2172 MiB
2022/04/27 11:16:07.574, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30358 MiB, 2152 MiB
2022/04/27 11:16:07.574, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30338 MiB, 2172 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/27 11:16:07.577, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30358 MiB, 2152 MiB
2022/04/27 11:16:07.577, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30338 MiB, 2172 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/27 11:16:07.580, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30434 MiB, 2076 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/27 11:16:07.581, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30358 MiB, 2152 MiB
2022/04/27 11:16:07.583, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30434 MiB, 2076 MiB
2022/04/27 11:16:07.583, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30358 MiB, 2152 MiB
2022/04/27 11:16:07.582, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30338 MiB, 2172 MiB
2022/04/27 11:16:07.585, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30338 MiB, 2172 MiB
2022/04/27 11:16:07.586, Tesla V100-SXM2-32GB, 470.57.02, 40 %, 35 %, 32510 MiB, 30410 MiB, 2100 MiB
2022/04/27 11:16:07.587, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30434 MiB, 2076 MiB
2022/04/27 11:16:07.586, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30338 MiB, 2172 MiB
2022/04/27 11:16:07.589, Tesla V100-SXM2-32GB, 470.57.02, 40 %, 35 %, 32510 MiB, 30410 MiB, 2100 MiB
2022/04/27 11:16:07.590, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30434 MiB, 2076 MiB
2022/04/27 11:16:07.590, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30358 MiB, 2152 MiB
2022/04/27 11:16:07.593, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30358 MiB, 2152 MiB
2022/04/27 11:16:07.594, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 31 %, 32510 MiB, 30418 MiB, 2092 MiB
2022/04/27 11:16:07.595, Tesla V100-SXM2-32GB, 470.57.02, 40 %, 35 %, 32510 MiB, 30410 MiB, 2100 MiB
2022/04/27 11:16:07.596, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30358 MiB, 2152 MiB
2022/04/27 11:16:07.598, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 31 %, 32510 MiB, 30418 MiB, 2092 MiB
2022/04/27 11:16:07.599, Tesla V100-SXM2-32GB, 470.57.02, 40 %, 35 %, 32510 MiB, 30410 MiB, 2100 MiB
2022/04/27 11:16:07.599, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30434 MiB, 2076 MiB
2022/04/27 11:16:07.603, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30434 MiB, 2076 MiB
2022/04/27 11:16:07.603, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30350 MiB, 2160 MiB
2022/04/27 11:16:07.604, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 31 %, 32510 MiB, 30418 MiB, 2092 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/27 11:16:07.605, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30434 MiB, 2076 MiB
2022/04/27 11:16:07.607, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30350 MiB, 2160 MiB
2022/04/27 11:16:07.608, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 31 %, 32510 MiB, 30418 MiB, 2092 MiB
2022/04/27 11:16:07.608, Tesla V100-SXM2-32GB, 470.57.02, 40 %, 35 %, 32510 MiB, 30410 MiB, 2100 MiB
2022/04/27 11:16:07.611, Tesla V100-SXM2-32GB, 470.57.02, 40 %, 35 %, 32510 MiB, 30410 MiB, 2100 MiB
2022/04/27 11:16:07.612, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB
2022/04/27 11:16:07.613, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30350 MiB, 2160 MiB
2022/04/27 11:16:07.614, Tesla V100-SXM2-32GB, 470.57.02, 40 %, 35 %, 32510 MiB, 30410 MiB, 2100 MiB
2022/04/27 11:16:07.613, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30338 MiB, 2172 MiB
2022/04/27 11:16:07.616, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB
2022/04/27 11:16:07.617, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30350 MiB, 2160 MiB
2022/04/27 11:16:07.617, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 31 %, 32510 MiB, 30418 MiB, 2092 MiB
2022/04/27 11:16:07.621, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 31 %, 32510 MiB, 30418 MiB, 2092 MiB
2022/04/27 11:16:07.621, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30374 MiB, 2136 MiB
2022/04/27 11:16:07.623, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB
2022/04/27 11:16:07.624, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 31 %, 32510 MiB, 30418 MiB, 2092 MiB
2022/04/27 11:16:07.624, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30358 MiB, 2152 MiB
2022/04/27 11:16:07.626, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30374 MiB, 2136 MiB
2022/04/27 11:16:07.627, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB
2022/04/27 11:16:07.627, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30350 MiB, 2160 MiB
2022/04/27 11:16:07.631, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30350 MiB, 2160 MiB
2022/04/27 11:16:07.633, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30374 MiB, 2136 MiB
2022/04/27 11:16:07.633, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30350 MiB, 2160 MiB
2022/04/27 11:16:07.634, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30434 MiB, 2076 MiB
2022/04/27 11:16:07.636, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30374 MiB, 2136 MiB
2022/04/27 11:16:07.637, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB
2022/04/27 11:16:07.640, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB
2022/04/27 11:16:07.643, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB
2022/04/27 11:16:07.643, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30410 MiB, 2100 MiB
2022/04/27 11:16:07.646, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30374 MiB, 2136 MiB
2022/04/27 11:16:07.649, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30374 MiB, 2136 MiB
2022/04/27 11:16:07.651, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30374 MiB, 2136 MiB
2022/04/27 11:16:07.652, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30418 MiB, 2092 MiB
2022/04/27 11:16:07.660, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30350 MiB, 2160 MiB
2022/04/27 11:16:07.669, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB
2022/04/27 11:16:07.680, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30374 MiB, 2136 MiB
[rank:0] iter: 200/1100, loss: 0.4896889925003052, latency(ms): 9.0909542143344879 | 2022-04-27 11:16:08.297
[rank:0] iter: 300/1100, loss: 0.4860925674438477, latency(ms): 6.5658750385046005 | 2022-04-27 11:16:08.954
[rank:0] iter: 400/1100, loss: 0.4981196224689484, latency(ms): 6.6007675975561142 | 2022-04-27 11:16:09.614
[rank:0] iter: 500/1100, loss: 0.4904090464115143, latency(ms): 6.3210846483707428 | 2022-04-27 11:16:10.246
[rank:0] iter: 600/1100, loss: 0.4832847118377686, latency(ms): 6.0887664183974266 | 2022-04-27 11:16:10.855
[rank:0] iter: 700/1100, loss: 0.4729804694652557, latency(ms): 6.4661879464983940 | 2022-04-27 11:16:11.502
[rank:0] iter: 800/1100, loss: 0.4806152582168579, latency(ms): 6.4859238639473915 | 2022-04-27 11:16:12.150
[rank:0] iter: 900/1100, loss: 0.4899106621742249, latency(ms): 6.4167934283614159 | 2022-04-27 11:16:12.792
[rank:0] iter: 1000/1100, loss: 0.4795019924640656, latency(ms): 6.3509665429592133 | 2022-04-27 11:16:13.427
[rank:0] iter: 1100/1100, loss: 0.4809600114822388, latency(ms): 6.4723833650350571 | 2022-04-27 11:16:14.074