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: 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
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: 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

------------------------ 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 ............................................. 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: 0.5037201642990112, latency(ms): 94.3620896711945534 | 2022-04-13 02:07:28.099
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/13 02:07:28.250, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 30156 MiB, 2354 MiB
2022/04/13 02:07:28.261, Tesla V100-SXM2-32GB, 470.57.02, 15 %, 7 %, 32510 MiB, 30176 MiB, 2334 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/13 02:07:28.267, Tesla V100-SXM2-32GB, 470.57.02, 2 %, 2 %, 32510 MiB, 30252 MiB, 2258 MiB
2022/04/13 02:07:28.272, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 30156 MiB, 2354 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/13 02:07:28.275, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30228 MiB, 2282 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/13 02:07:28.281, Tesla V100-SXM2-32GB, 470.57.02, 15 %, 7 %, 32510 MiB, 30176 MiB, 2334 MiB
2022/04/13 02:07:28.283, Tesla V100-SXM2-32GB, 470.57.02, 46 %, 28 %, 32510 MiB, 30236 MiB, 2274 MiB
2022/04/13 02:07:28.282, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 30156 MiB, 2354 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 02:07:28.290, Tesla V100-SXM2-32GB, 470.57.02, 2 %, 2 %, 32510 MiB, 30252 MiB, 2258 MiB
2022/04/13 02:07:28.289, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 30156 MiB, 2354 MiB
2022/04/13 02:07:28.292, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 16 %, 32510 MiB, 30168 MiB, 2342 MiB
2022/04/13 02:07:28.293, Tesla V100-SXM2-32GB, 470.57.02, 15 %, 7 %, 32510 MiB, 30176 MiB, 2334 MiB
2022/04/13 02:07:28.296, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 30156 MiB, 2354 MiB
2022/04/13 02:07:28.298, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 30156 MiB, 2354 MiB
2022/04/13 02:07:28.298, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 30156 MiB, 2354 MiB
2022/04/13 02:07:28.300, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30228 MiB, 2282 MiB
2022/04/13 02:07:28.301, Tesla V100-SXM2-32GB, 470.57.02, 15 %, 7 %, 32510 MiB, 30176 MiB, 2334 MiB
2022/04/13 02:07:28.302, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30112 MiB, 2398 MiB
2022/04/13 02:07:28.303, Tesla V100-SXM2-32GB, 470.57.02, 2 %, 2 %, 32510 MiB, 30252 MiB, 2258 MiB
2022/04/13 02:07:28.305, Tesla V100-SXM2-32GB, 470.57.02, 15 %, 7 %, 32510 MiB, 30176 MiB, 2334 MiB
2022/04/13 02:07:28.306, Tesla V100-SXM2-32GB, 470.57.02, 15 %, 7 %, 32510 MiB, 30176 MiB, 2334 MiB
2022/04/13 02:07:28.307, Tesla V100-SXM2-32GB, 470.57.02, 15 %, 7 %, 32510 MiB, 30176 MiB, 2334 MiB
2022/04/13 02:07:28.308, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30236 MiB, 2274 MiB
2022/04/13 02:07:28.309, Tesla V100-SXM2-32GB, 470.57.02, 2 %, 2 %, 32510 MiB, 30252 MiB, 2258 MiB
2022/04/13 02:07:28.310, Tesla V100-SXM2-32GB, 470.57.02, 43 %, 17 %, 32510 MiB, 30192 MiB, 2318 MiB
2022/04/13 02:07:28.311, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30228 MiB, 2282 MiB
2022/04/13 02:07:28.314, Tesla V100-SXM2-32GB, 470.57.02, 2 %, 2 %, 32510 MiB, 30252 MiB, 2258 MiB
2022/04/13 02:07:28.315, Tesla V100-SXM2-32GB, 470.57.02, 2 %, 2 %, 32510 MiB, 30252 MiB, 2258 MiB
2022/04/13 02:07:28.316, Tesla V100-SXM2-32GB, 470.57.02, 2 %, 2 %, 32510 MiB, 30252 MiB, 2258 MiB
2022/04/13 02:07:28.317, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 16 %, 32510 MiB, 30168 MiB, 2342 MiB
2022/04/13 02:07:28.317, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30228 MiB, 2282 MiB
2022/04/13 02:07:28.319, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30236 MiB, 2274 MiB
2022/04/13 02:07:28.322, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30228 MiB, 2282 MiB
2022/04/13 02:07:28.323, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30228 MiB, 2282 MiB
2022/04/13 02:07:28.324, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30228 MiB, 2282 MiB
2022/04/13 02:07:28.325, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30112 MiB, 2398 MiB
2022/04/13 02:07:28.326, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30236 MiB, 2274 MiB
2022/04/13 02:07:28.327, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 16 %, 32510 MiB, 30168 MiB, 2342 MiB
2022/04/13 02:07:28.330, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30236 MiB, 2274 MiB
2022/04/13 02:07:28.331, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30236 MiB, 2274 MiB
2022/04/13 02:07:28.332, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30236 MiB, 2274 MiB
2022/04/13 02:07:28.333, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30192 MiB, 2318 MiB
2022/04/13 02:07:28.334, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 16 %, 32510 MiB, 30168 MiB, 2342 MiB
2022/04/13 02:07:28.336, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30112 MiB, 2398 MiB
2022/04/13 02:07:28.339, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 16 %, 32510 MiB, 30168 MiB, 2342 MiB
2022/04/13 02:07:28.340, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 16 %, 32510 MiB, 30168 MiB, 2342 MiB
2022/04/13 02:07:28.341, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 16 %, 32510 MiB, 30168 MiB, 2342 MiB
2022/04/13 02:07:28.342, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30112 MiB, 2398 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/13 02:07:28.344, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30192 MiB, 2318 MiB
2022/04/13 02:07:28.346, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30112 MiB, 2398 MiB
2022/04/13 02:07:28.347, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30112 MiB, 2398 MiB
2022/04/13 02:07:28.348, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30112 MiB, 2398 MiB
2022/04/13 02:07:28.352, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30192 MiB, 2318 MiB
2022/04/13 02:07:28.352, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 30156 MiB, 2354 MiB
2022/04/13 02:07:28.357, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30192 MiB, 2318 MiB
2022/04/13 02:07:28.358, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30192 MiB, 2318 MiB
2022/04/13 02:07:28.359, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30192 MiB, 2318 MiB
2022/04/13 02:07:28.362, Tesla V100-SXM2-32GB, 470.57.02, 15 %, 7 %, 32510 MiB, 30176 MiB, 2334 MiB
2022/04/13 02:07:28.369, Tesla V100-SXM2-32GB, 470.57.02, 2 %, 2 %, 32510 MiB, 30252 MiB, 2258 MiB
2022/04/13 02:07:28.378, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30228 MiB, 2282 MiB
2022/04/13 02:07:28.387, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30236 MiB, 2274 MiB
2022/04/13 02:07:28.394, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30168 MiB, 2342 MiB
2022/04/13 02:07:28.404, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30112 MiB, 2398 MiB
2022/04/13 02:07:28.406, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30192 MiB, 2318 MiB
[rank:0] iter: 200/1100, loss: 0.4697302579879761, latency(ms): 23.5886644199490547 | 2022-04-13 02:07:30.458
[rank:0] iter: 300/1100, loss: 0.4633166790008545, latency(ms): 21.5138818323612213 | 2022-04-13 02:07:32.609
[rank:0] iter: 400/1100, loss: 0.4596707224845886, latency(ms): 21.5717329084873199 | 2022-04-13 02:07:34.766
[rank:0] iter: 500/1100, loss: 0.4573712944984436, latency(ms): 20.5328338220715523 | 2022-04-13 02:07:36.819
[rank:0] iter: 600/1100, loss: 0.4527013897895813, latency(ms): 20.6878967210650444 | 2022-04-13 02:07:38.888
[rank:0] iter: 700/1100, loss: 0.4458484351634979, latency(ms): 20.2537399530410767 | 2022-04-13 02:07:40.914
[rank:0] iter: 800/1100, loss: 0.4460831582546234, latency(ms): 20.6939028948545456 | 2022-04-13 02:07:42.983
[rank:0] iter: 900/1100, loss: 0.4462077617645264, latency(ms): 21.2267763540148735 | 2022-04-13 02:07:45.106
[rank:0] iter: 1000/1100, loss: 0.4442109167575836, latency(ms): 20.8380073681473732 | 2022-04-13 02:07:47.189
[rank:0] iter: 1100/1100, loss: 0.4472669959068298, latency(ms): 21.2086768075823784 | 2022-04-13 02:07:49.310