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: 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
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
------------------------ 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: 0.0663863196969032, latency(ms): 173.4887569025158882 | 2022-05-15 01:58:15.624
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]
2022/05/15 01:58:15.780, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 3 %, 32510 MiB, 30427 MiB, 2083 MiB
2022/05/15 01:58:15.781, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 3 %, 32510 MiB, 30427 MiB, 2083 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]
2022/05/15 01:58:15.783, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 3 %, 32510 MiB, 30427 MiB, 2083 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/05/15 01:58:15.784, Tesla V100-SXM2-32GB, 470.57.02, 26 %, 2 %, 32510 MiB, 30447 MiB, 2063 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]
2022/05/15 01:58:15.785, Tesla V100-SXM2-32GB, 470.57.02, 26 %, 2 %, 32510 MiB, 30447 MiB, 2063 MiB
2022/05/15 01:58:15.785, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 3 %, 32510 MiB, 30427 MiB, 2083 MiB
2022/05/15 01:58:15.786, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 3 %, 32510 MiB, 30427 MiB, 2083 MiB
2022/05/15 01:58:15.787, Tesla V100-SXM2-32GB, 470.57.02, 26 %, 2 %, 32510 MiB, 30447 MiB, 2063 MiB
2022/05/15 01:58:15.788, Tesla V100-SXM2-32GB, 470.57.02, 16 %, 2 %, 32510 MiB, 30599 MiB, 1911 MiB
2022/05/15 01:58:15.788, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 3 %, 32510 MiB, 30427 MiB, 2083 MiB
2022/05/15 01:58:15.789, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 3 %, 32510 MiB, 30427 MiB, 2083 MiB
2022/05/15 01:58:15.789, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 3 %, 32510 MiB, 30427 MiB, 2083 MiB
2022/05/15 01:58:15.791, Tesla V100-SXM2-32GB, 470.57.02, 16 %, 2 %, 32510 MiB, 30599 MiB, 1911 MiB
2022/05/15 01:58:15.793, Tesla V100-SXM2-32GB, 470.57.02, 26 %, 2 %, 32510 MiB, 30447 MiB, 2063 MiB
2022/05/15 01:58:15.794, Tesla V100-SXM2-32GB, 470.57.02, 26 %, 2 %, 32510 MiB, 30447 MiB, 2063 MiB
2022/05/15 01:58:15.795, Tesla V100-SXM2-32GB, 470.57.02, 16 %, 2 %, 32510 MiB, 30599 MiB, 1911 MiB
2022/05/15 01:58:15.795, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30551 MiB, 1959 MiB
2022/05/15 01:58:15.796, Tesla V100-SXM2-32GB, 470.57.02, 26 %, 2 %, 32510 MiB, 30447 MiB, 2063 MiB
2022/05/15 01:58:15.797, Tesla V100-SXM2-32GB, 470.57.02, 26 %, 2 %, 32510 MiB, 30447 MiB, 2063 MiB
2022/05/15 01:58:15.798, Tesla V100-SXM2-32GB, 470.57.02, 26 %, 2 %, 32510 MiB, 30447 MiB, 2063 MiB
2022/05/15 01:58:15.799, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30551 MiB, 1959 MiB
2022/05/15 01:58:15.801, Tesla V100-SXM2-32GB, 470.57.02, 16 %, 2 %, 32510 MiB, 30599 MiB, 1911 MiB
2022/05/15 01:58:15.802, Tesla V100-SXM2-32GB, 470.57.02, 16 %, 2 %, 32510 MiB, 30599 MiB, 1911 MiB
2022/05/15 01:58:15.802, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30551 MiB, 1959 MiB
2022/05/15 01:58:15.803, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30567 MiB, 1943 MiB
2022/05/15 01:58:15.804, Tesla V100-SXM2-32GB, 470.57.02, 16 %, 2 %, 32510 MiB, 30599 MiB, 1911 MiB
2022/05/15 01:58:15.805, Tesla V100-SXM2-32GB, 470.57.02, 16 %, 2 %, 32510 MiB, 30599 MiB, 1911 MiB
2022/05/15 01:58:15.805, Tesla V100-SXM2-32GB, 470.57.02, 16 %, 2 %, 32510 MiB, 30599 MiB, 1911 MiB
2022/05/15 01:58:15.807, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30567 MiB, 1943 MiB
2022/05/15 01:58:15.808, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30551 MiB, 1959 MiB
2022/05/15 01:58:15.810, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30551 MiB, 1959 MiB
2022/05/15 01:58:15.810, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30567 MiB, 1943 MiB
2022/05/15 01:58:15.811, Tesla V100-SXM2-32GB, 470.57.02, 58 %, 4 %, 32510 MiB, 30431 MiB, 2079 MiB
2022/05/15 01:58:15.812, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30551 MiB, 1959 MiB
2022/05/15 01:58:15.813, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30551 MiB, 1959 MiB
2022/05/15 01:58:15.813, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30551 MiB, 1959 MiB
2022/05/15 01:58:15.815, Tesla V100-SXM2-32GB, 470.57.02, 58 %, 4 %, 32510 MiB, 30431 MiB, 2079 MiB
2022/05/15 01:58:15.816, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30567 MiB, 1943 MiB
2022/05/15 01:58:15.818, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30567 MiB, 1943 MiB
2022/05/15 01:58:15.818, Tesla V100-SXM2-32GB, 470.57.02, 58 %, 4 %, 32510 MiB, 30431 MiB, 2079 MiB
2022/05/15 01:58:15.819, Tesla V100-SXM2-32GB, 470.57.02, 32 %, 2 %, 32510 MiB, 30319 MiB, 2191 MiB
2022/05/15 01:58:15.820, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30567 MiB, 1943 MiB
2022/05/15 01:58:15.821, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30567 MiB, 1943 MiB
2022/05/15 01:58:15.821, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30567 MiB, 1943 MiB
2022/05/15 01:58:15.823, Tesla V100-SXM2-32GB, 470.57.02, 32 %, 2 %, 32510 MiB, 30319 MiB, 2191 MiB
2022/05/15 01:58:15.825, Tesla V100-SXM2-32GB, 470.57.02, 58 %, 4 %, 32510 MiB, 30431 MiB, 2079 MiB
2022/05/15 01:58:15.826, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30431 MiB, 2079 MiB
2022/05/15 01:58:15.826, Tesla V100-SXM2-32GB, 470.57.02, 32 %, 2 %, 32510 MiB, 30319 MiB, 2191 MiB
2022/05/15 01:58:15.827, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB
2022/05/15 01:58:15.828, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30431 MiB, 2079 MiB
2022/05/15 01:58:15.829, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30431 MiB, 2079 MiB
2022/05/15 01:58:15.829, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30431 MiB, 2079 MiB
2022/05/15 01:58:15.831, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB
2022/05/15 01:58:15.833, Tesla V100-SXM2-32GB, 470.57.02, 32 %, 2 %, 32510 MiB, 30319 MiB, 2191 MiB
2022/05/15 01:58:15.834, Tesla V100-SXM2-32GB, 470.57.02, 32 %, 2 %, 32510 MiB, 30319 MiB, 2191 MiB
2022/05/15 01:58:15.835, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB
2022/05/15 01:58:15.836, Tesla V100-SXM2-32GB, 470.57.02, 32 %, 2 %, 32510 MiB, 30319 MiB, 2191 MiB
2022/05/15 01:58:15.837, Tesla V100-SXM2-32GB, 470.57.02, 32 %, 2 %, 32510 MiB, 30319 MiB, 2191 MiB
2022/05/15 01:58:15.838, Tesla V100-SXM2-32GB, 470.57.02, 32 %, 2 %, 32510 MiB, 30319 MiB, 2191 MiB
2022/05/15 01:58:15.841, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB
2022/05/15 01:58:15.842, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB
2022/05/15 01:58:15.844, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB
2022/05/15 01:58:15.845, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB
2022/05/15 01:58:15.845, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB
[rank:0] iter: 200/1100, loss: 0.0613399259746075, latency(ms): 5.5230745300650597 | 2022-05-15 01:58:16.177
[rank:0] iter: 300/1100, loss: 0.0615870319306850, latency(ms): 3.1194726750254631 | 2022-05-15 01:58:16.489
[rank:0] iter: 400/1100, loss: 0.0622376948595047, latency(ms): 2.4554799497127533 | 2022-05-15 01:58:16.734
[rank:0] iter: 500/1100, loss: 0.0619960725307465, latency(ms): 2.9511360079050064 | 2022-05-15 01:58:17.029
[rank:0] iter: 600/1100, loss: 0.0608478300273418, latency(ms): 3.2388520613312721 | 2022-05-15 01:58:17.353
[rank:0] iter: 700/1100, loss: 0.0594523251056671, latency(ms): 3.0347236990928650 | 2022-05-15 01:58:17.657
[rank:0] iter: 800/1100, loss: 0.0601004399359226, latency(ms): 2.9328317567706108 | 2022-05-15 01:58:17.950
[rank:0] iter: 900/1100, loss: 0.0604143626987934, latency(ms): 2.8795021399855614 | 2022-05-15 01:58:18.238
[rank:0] iter: 1000/1100, loss: 0.0600998364388943, latency(ms): 3.1084619462490082 | 2022-05-15 01:58:18.549
[rank:0] iter: 1100/1100, loss: 0.0600595772266388, latency(ms): 3.0134259909391403 | 2022-05-15 01:58:18.850