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: /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: 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
------------------------ 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: 0.5344754457473755, latency(ms): 64.8551700636744499 | 2022-04-29 02:19:23.828
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]
2022/04/29 02:19:23.968, Tesla V100-SXM2-32GB, 470.57.02, 9 %, 8 %, 32510 MiB, 30338 MiB, 2172 MiB
2022/04/29 02:19:23.969, Tesla V100-SXM2-32GB, 470.57.02, 9 %, 8 %, 32510 MiB, 30338 MiB, 2172 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/29 02:19:23.975, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 77 %, 32510 MiB, 30358 MiB, 2152 MiB
2022/04/29 02:19:23.976, Tesla V100-SXM2-32GB, 470.57.02, 89 %, 77 %, 32510 MiB, 30358 MiB, 2152 MiB
2022/04/29 02:19:23.979, Tesla V100-SXM2-32GB, 470.57.02, 9 %, 8 %, 32510 MiB, 30338 MiB, 2172 MiB
2022/04/29 02:19:23.980, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 32 %, 32510 MiB, 30434 MiB, 2076 MiB
2022/04/29 02:19:23.981, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 32 %, 32510 MiB, 30434 MiB, 2076 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]
2022/04/29 02:19:23.987, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30358 MiB, 2152 MiB
2022/04/29 02:19:23.987, Tesla V100-SXM2-32GB, 470.57.02, 27 %, 23 %, 32510 MiB, 30410 MiB, 2100 MiB
2022/04/29 02:19:23.988, Tesla V100-SXM2-32GB, 470.57.02, 27 %, 23 %, 32510 MiB, 30410 MiB, 2100 MiB
2022/04/29 02:19:23.988, Tesla V100-SXM2-32GB, 470.57.02, 9 %, 8 %, 32510 MiB, 30338 MiB, 2172 MiB
2022/04/29 02:19:23.993, Tesla V100-SXM2-32GB, 470.57.02, 9 %, 8 %, 32510 MiB, 30338 MiB, 2172 MiB
2022/04/29 02:19:23.994, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 32 %, 32510 MiB, 30434 MiB, 2076 MiB
2022/04/29 02:19:23.994, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 30418 MiB, 2092 MiB
2022/04/29 02:19:23.996, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 30418 MiB, 2092 MiB
2022/04/29 02:19:23.997, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30358 MiB, 2152 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]
2022/04/29 02:19:24.003, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30358 MiB, 2152 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/29 02:19:24.003, Tesla V100-SXM2-32GB, 470.57.02, 27 %, 23 %, 32510 MiB, 30410 MiB, 2100 MiB
2022/04/29 02:19:24.003, Tesla V100-SXM2-32GB, 470.57.02, 29 %, 25 %, 32510 MiB, 30350 MiB, 2160 MiB
2022/04/29 02:19:24.005, Tesla V100-SXM2-32GB, 470.57.02, 29 %, 25 %, 32510 MiB, 30350 MiB, 2160 MiB
2022/04/29 02:19:24.006, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 32 %, 32510 MiB, 30434 MiB, 2076 MiB
2022/04/29 02:19:24.008, Tesla V100-SXM2-32GB, 470.57.02, 9 %, 8 %, 32510 MiB, 30338 MiB, 2172 MiB
2022/04/29 02:19:24.009, Tesla V100-SXM2-32GB, 470.57.02, 9 %, 8 %, 32510 MiB, 30338 MiB, 2172 MiB
2022/04/29 02:19:24.010, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 32 %, 32510 MiB, 30434 MiB, 2076 MiB
2022/04/29 02:19:24.011, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 30418 MiB, 2092 MiB
2022/04/29 02:19:24.011, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB
2022/04/29 02:19:24.011, Tesla V100-SXM2-32GB, 470.57.02, 9 %, 8 %, 32510 MiB, 30338 MiB, 2172 MiB
2022/04/29 02:19:24.013, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB
2022/04/29 02:19:24.014, Tesla V100-SXM2-32GB, 470.57.02, 27 %, 23 %, 32510 MiB, 30410 MiB, 2100 MiB
2022/04/29 02:19:24.018, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30358 MiB, 2152 MiB
2022/04/29 02:19:24.020, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30358 MiB, 2152 MiB
2022/04/29 02:19:24.020, Tesla V100-SXM2-32GB, 470.57.02, 27 %, 23 %, 32510 MiB, 30410 MiB, 2100 MiB
2022/04/29 02:19:24.021, Tesla V100-SXM2-32GB, 470.57.02, 29 %, 25 %, 32510 MiB, 30350 MiB, 2160 MiB
2022/04/29 02:19:24.021, Tesla V100-SXM2-32GB, 470.57.02, 19 %, 17 %, 32510 MiB, 30374 MiB, 2136 MiB
2022/04/29 02:19:24.022, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30358 MiB, 2152 MiB
2022/04/29 02:19:24.023, Tesla V100-SXM2-32GB, 470.57.02, 19 %, 17 %, 32510 MiB, 30374 MiB, 2136 MiB
2022/04/29 02:19:24.024, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 30418 MiB, 2092 MiB
2022/04/29 02:19:24.028, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 32 %, 32510 MiB, 30434 MiB, 2076 MiB
2022/04/29 02:19:24.030, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 32 %, 32510 MiB, 30434 MiB, 2076 MiB
2022/04/29 02:19:24.031, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 30418 MiB, 2092 MiB
2022/04/29 02:19:24.031, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB
2022/04/29 02:19:24.032, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 32 %, 32510 MiB, 30434 MiB, 2076 MiB
2022/04/29 02:19:24.035, Tesla V100-SXM2-32GB, 470.57.02, 29 %, 25 %, 32510 MiB, 30350 MiB, 2160 MiB
2022/04/29 02:19:24.038, Tesla V100-SXM2-32GB, 470.57.02, 27 %, 23 %, 32510 MiB, 30410 MiB, 2100 MiB
2022/04/29 02:19:24.040, Tesla V100-SXM2-32GB, 470.57.02, 27 %, 23 %, 32510 MiB, 30410 MiB, 2100 MiB
2022/04/29 02:19:24.041, Tesla V100-SXM2-32GB, 470.57.02, 29 %, 25 %, 32510 MiB, 30350 MiB, 2160 MiB
2022/04/29 02:19:24.041, Tesla V100-SXM2-32GB, 470.57.02, 19 %, 17 %, 32510 MiB, 30374 MiB, 2136 MiB
2022/04/29 02:19:24.042, Tesla V100-SXM2-32GB, 470.57.02, 27 %, 23 %, 32510 MiB, 30410 MiB, 2100 MiB
2022/04/29 02:19:24.044, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB
2022/04/29 02:19:24.048, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 30418 MiB, 2092 MiB
2022/04/29 02:19:24.050, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 30418 MiB, 2092 MiB
2022/04/29 02:19:24.050, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB
2022/04/29 02:19:24.052, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 30418 MiB, 2092 MiB
2022/04/29 02:19:24.054, Tesla V100-SXM2-32GB, 470.57.02, 19 %, 17 %, 32510 MiB, 30374 MiB, 2136 MiB
2022/04/29 02:19:24.058, Tesla V100-SXM2-32GB, 470.57.02, 29 %, 25 %, 32510 MiB, 30350 MiB, 2160 MiB
2022/04/29 02:19:24.059, Tesla V100-SXM2-32GB, 470.57.02, 29 %, 25 %, 32510 MiB, 30350 MiB, 2160 MiB
2022/04/29 02:19:24.060, Tesla V100-SXM2-32GB, 470.57.02, 19 %, 17 %, 32510 MiB, 30374 MiB, 2136 MiB
2022/04/29 02:19:24.061, Tesla V100-SXM2-32GB, 470.57.02, 29 %, 25 %, 32510 MiB, 30350 MiB, 2160 MiB
2022/04/29 02:19:24.066, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB
2022/04/29 02:19:24.071, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB
2022/04/29 02:19:24.078, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB
2022/04/29 02:19:24.082, Tesla V100-SXM2-32GB, 470.57.02, 19 %, 17 %, 32510 MiB, 30374 MiB, 2136 MiB
2022/04/29 02:19:24.084, Tesla V100-SXM2-32GB, 470.57.02, 19 %, 17 %, 32510 MiB, 30374 MiB, 2136 MiB
2022/04/29 02:19:24.085, Tesla V100-SXM2-32GB, 470.57.02, 19 %, 17 %, 32510 MiB, 30374 MiB, 2136 MiB
[rank:0] iter: 200/1100, loss: 0.4843175411224365, latency(ms): 8.8852484896779060 | 2022-04-29 02:19:24.716
[rank:0] iter: 300/1100, loss: 0.4980672597885132, latency(ms): 6.5922700241208076 | 2022-04-29 02:19:25.376
[rank:0] iter: 400/1100, loss: 0.4914567470550537, latency(ms): 6.2621828913688660 | 2022-04-29 02:19:26.002
[rank:0] iter: 500/1100, loss: 0.4926358759403229, latency(ms): 6.4311541616916656 | 2022-04-29 02:19:26.645
[rank:0] iter: 600/1100, loss: 0.4856925308704376, latency(ms): 6.2204555794596672 | 2022-04-29 02:19:27.267
[rank:0] iter: 700/1100, loss: 0.4657230377197266, latency(ms): 6.1022901907563210 | 2022-04-29 02:19:27.877
[rank:0] iter: 800/1100, loss: 0.4832068681716919, latency(ms): 6.0852409154176712 | 2022-04-29 02:19:28.486
[rank:0] iter: 900/1100, loss: 0.4837217032909393, latency(ms): 6.2599441409111023 | 2022-04-29 02:19:29.112
[rank:0] iter: 1000/1100, loss: 0.4790738821029663, latency(ms): 6.2385505810379982 | 2022-04-29 02:19:29.736
[rank:0] iter: 1100/1100, loss: 0.4758942723274231, latency(ms): 6.4129286259412766 | 2022-04-29 02:19:30.377