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: /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

------------------------ 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 ............................................. 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: 0.0667776316404343, latency(ms): 177.2075038403272629 | 2022-04-18 02:17:31.315
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/18 02:17:32.162, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30433 MiB, 2077 MiB
2022/04/18 02:17:32.169, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30453 MiB, 2057 MiB
2022/04/18 02:17:32.173, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30605 MiB, 1905 MiB
2022/04/18 02:17:32.177, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30557 MiB, 1953 MiB
2022/04/18 02:17:32.181, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30573 MiB, 1937 MiB
2022/04/18 02:17:32.187, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30437 MiB, 2073 MiB
2022/04/18 02:17:32.191, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30325 MiB, 2185 MiB
2022/04/18 02:17:32.196, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30485 MiB, 2025 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/18 02:17:32.248, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30433 MiB, 2077 MiB
2022/04/18 02:17:32.255, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30453 MiB, 2057 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]
2022/04/18 02:17:32.260, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30605 MiB, 1905 MiB
2022/04/18 02:17:32.262, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30433 MiB, 2077 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/18 02:17:32.266, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30557 MiB, 1953 MiB
2022/04/18 02:17:32.265, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30433 MiB, 2077 MiB
2022/04/18 02:17:32.268, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30453 MiB, 2057 MiB
2022/04/18 02:17:32.270, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30433 MiB, 2077 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/18 02:17:32.272, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30573 MiB, 1937 MiB
2022/04/18 02:17:32.272, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30453 MiB, 2057 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/18 02:17:32.274, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30605 MiB, 1905 MiB
2022/04/18 02:17:32.276, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30453 MiB, 2057 MiB
2022/04/18 02:17:32.278, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30437 MiB, 2073 MiB
2022/04/18 02:17:32.278, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30605 MiB, 1905 MiB
2022/04/18 02:17:32.277, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30433 MiB, 2077 MiB
2022/04/18 02:17:32.279, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30433 MiB, 2077 MiB
2022/04/18 02:17:32.281, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30557 MiB, 1953 MiB
2022/04/18 02:17:32.283, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30605 MiB, 1905 MiB
2022/04/18 02:17:32.285, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30325 MiB, 2185 MiB
2022/04/18 02:17:32.285, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30557 MiB, 1953 MiB
2022/04/18 02:17:32.285, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30453 MiB, 2057 MiB
2022/04/18 02:17:32.287, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30453 MiB, 2057 MiB
2022/04/18 02:17:32.288, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30573 MiB, 1937 MiB
2022/04/18 02:17:32.291, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30557 MiB, 1953 MiB
2022/04/18 02:17:32.293, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30485 MiB, 2025 MiB
2022/04/18 02:17:32.293, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30573 MiB, 1937 MiB
2022/04/18 02:17:32.294, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30605 MiB, 1905 MiB
2022/04/18 02:17:32.297, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30605 MiB, 1905 MiB
2022/04/18 02:17:32.297, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30437 MiB, 2073 MiB
2022/04/18 02:17:32.300, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30573 MiB, 1937 MiB
2022/04/18 02:17:32.301, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30437 MiB, 2073 MiB
2022/04/18 02:17:32.302, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30557 MiB, 1953 MiB
2022/04/18 02:17:32.304, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30557 MiB, 1953 MiB
2022/04/18 02:17:32.304, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30325 MiB, 2185 MiB
2022/04/18 02:17:32.306, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30437 MiB, 2073 MiB
2022/04/18 02:17:32.308, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30325 MiB, 2185 MiB
2022/04/18 02:17:32.308, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30573 MiB, 1937 MiB
2022/04/18 02:17:32.310, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30573 MiB, 1937 MiB
2022/04/18 02:17:32.311, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30485 MiB, 2025 MiB
2022/04/18 02:17:32.313, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30325 MiB, 2185 MiB
2022/04/18 02:17:32.315, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30485 MiB, 2025 MiB
2022/04/18 02:17:32.315, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30437 MiB, 2073 MiB
2022/04/18 02:17:32.317, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30437 MiB, 2073 MiB
2022/04/18 02:17:32.320, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30485 MiB, 2025 MiB
2022/04/18 02:17:32.322, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30325 MiB, 2185 MiB
2022/04/18 02:17:32.324, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30325 MiB, 2185 MiB
2022/04/18 02:17:32.331, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30485 MiB, 2025 MiB
2022/04/18 02:17:32.333, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30485 MiB, 2025 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/18 02:17:32.683, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30433 MiB, 2077 MiB
2022/04/18 02:17:32.684, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 0 %, 32510 MiB, 30453 MiB, 2057 MiB
2022/04/18 02:17:32.685, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 0 %, 32510 MiB, 30605 MiB, 1905 MiB
2022/04/18 02:17:32.686, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 0 %, 32510 MiB, 30557 MiB, 1953 MiB
2022/04/18 02:17:32.686, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 0 %, 32510 MiB, 30573 MiB, 1937 MiB
2022/04/18 02:17:32.687, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 0 %, 32510 MiB, 30437 MiB, 2073 MiB
2022/04/18 02:17:32.688, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 0 %, 32510 MiB, 30325 MiB, 2185 MiB
2022/04/18 02:17:32.688, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 0 %, 32510 MiB, 30485 MiB, 2025 MiB
[rank:0] iter: 200/1100, loss: 0.0607014149427414, latency(ms): 16.7329088598489761 | 2022-04-18 02:17:32.988
[rank:0] iter: 300/1100, loss: 0.0618898719549179, latency(ms): 2.9159333929419518 | 2022-04-18 02:17:33.280
[rank:0] iter: 400/1100, loss: 0.0616679862141609, latency(ms): 3.3045092225074768 | 2022-04-18 02:17:33.611
[rank:0] iter: 500/1100, loss: 0.0622649937868118, latency(ms): 2.8107327595353127 | 2022-04-18 02:17:33.892
[rank:0] iter: 600/1100, loss: 0.0606887973845005, latency(ms): 3.2762499526143074 | 2022-04-18 02:17:34.219
[rank:0] iter: 700/1100, loss: 0.0587657168507576, latency(ms): 3.2324685901403427 | 2022-04-18 02:17:34.542
[rank:0] iter: 800/1100, loss: 0.0605165734887123, latency(ms): 3.4946205839514732 | 2022-04-18 02:17:34.892
[rank:0] iter: 900/1100, loss: 0.0608267672359943, latency(ms): 3.0391557514667511 | 2022-04-18 02:17:35.196
[rank:0] iter: 1000/1100, loss: 0.0600896775722504, latency(ms): 2.9687945544719696 | 2022-04-18 02:17:35.493
[rank:0] iter: 1100/1100, loss: 0.0600012093782425, latency(ms): 3.3398099616169930 | 2022-04-18 02:17:35.827