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: /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 ............................................. 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: 0.5394626259803772, latency(ms): 75.4168239980936050 | 2022-04-22 10:33:09.809
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/22 10:33:11.081, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30338 MiB, 2172 MiB
2022/04/22 10:33:11.088, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30358 MiB, 2152 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/22 10:33:11.093, 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]
2022/04/22 10:33:11.099, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30338 MiB, 2172 MiB
2022/04/22 10:33:11.100, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30410 MiB, 2100 MiB
2022/04/22 10:33:11.105, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30338 MiB, 2172 MiB
2022/04/22 10:33:11.106, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30358 MiB, 2152 MiB
2022/04/22 10:33:11.107, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30418 MiB, 2092 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]
2022/04/22 10:33:11.113, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30358 MiB, 2152 MiB
2022/04/22 10:33:11.113, 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]
2022/04/22 10:33:11.114, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30350 MiB, 2160 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/22 10:33:11.114, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30338 MiB, 2172 MiB
2022/04/22 10:33:11.118, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30434 MiB, 2076 MiB
2022/04/22 10:33:11.118, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30410 MiB, 2100 MiB
2022/04/22 10:33:11.117, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30338 MiB, 2172 MiB
2022/04/22 10:33:11.119, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB
2022/04/22 10:33:11.119, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30338 MiB, 2172 MiB
2022/04/22 10:33:11.120, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30358 MiB, 2152 MiB
2022/04/22 10:33:11.120, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30338 MiB, 2172 MiB
2022/04/22 10:33:11.125, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30410 MiB, 2100 MiB
2022/04/22 10:33:11.126, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30418 MiB, 2092 MiB
2022/04/22 10:33:11.126, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30358 MiB, 2152 MiB
2022/04/22 10:33:11.127, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30374 MiB, 2136 MiB
2022/04/22 10:33:11.127, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30358 MiB, 2152 MiB
2022/04/22 10:33:11.128, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30434 MiB, 2076 MiB
2022/04/22 10:33:11.129, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30358 MiB, 2152 MiB
2022/04/22 10:33:11.134, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30418 MiB, 2092 MiB
2022/04/22 10:33:11.134, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30350 MiB, 2160 MiB
2022/04/22 10:33:11.134, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30434 MiB, 2076 MiB
2022/04/22 10:33:11.136, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30434 MiB, 2076 MiB
2022/04/22 10:33:11.137, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30410 MiB, 2100 MiB
2022/04/22 10:33:11.138, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30434 MiB, 2076 MiB
2022/04/22 10:33:11.142, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30350 MiB, 2160 MiB
2022/04/22 10:33:11.142, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB
2022/04/22 10:33:11.143, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30410 MiB, 2100 MiB
2022/04/22 10:33:11.144, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30410 MiB, 2100 MiB
2022/04/22 10:33:11.145, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30418 MiB, 2092 MiB
2022/04/22 10:33:11.145, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30410 MiB, 2100 MiB
2022/04/22 10:33:11.149, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB
2022/04/22 10:33:11.150, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30374 MiB, 2136 MiB
2022/04/22 10:33:11.150, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30418 MiB, 2092 MiB
2022/04/22 10:33:11.151, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30418 MiB, 2092 MiB
2022/04/22 10:33:11.152, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30350 MiB, 2160 MiB
2022/04/22 10:33:11.153, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30418 MiB, 2092 MiB
2022/04/22 10:33:11.157, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30374 MiB, 2136 MiB
2022/04/22 10:33:11.158, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30350 MiB, 2160 MiB
2022/04/22 10:33:11.159, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30350 MiB, 2160 MiB
2022/04/22 10:33:11.160, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB
2022/04/22 10:33:11.161, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30350 MiB, 2160 MiB
2022/04/22 10:33:11.168, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB
2022/04/22 10:33:11.169, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB
2022/04/22 10:33:11.170, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30374 MiB, 2136 MiB
2022/04/22 10:33:11.170, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB
2022/04/22 10:33:11.175, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30374 MiB, 2136 MiB
2022/04/22 10:33:11.176, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30374 MiB, 2136 MiB
2022/04/22 10:33:11.177, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30374 MiB, 2136 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/22 10:33:12.071, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30338 MiB, 2172 MiB
2022/04/22 10:33:12.072, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 0 %, 32510 MiB, 30358 MiB, 2152 MiB
2022/04/22 10:33:12.073, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 0 %, 32510 MiB, 30434 MiB, 2076 MiB
2022/04/22 10:33:12.074, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 0 %, 32510 MiB, 30410 MiB, 2100 MiB
2022/04/22 10:33:12.075, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 0 %, 32510 MiB, 30418 MiB, 2092 MiB
2022/04/22 10:33:12.076, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 0 %, 32510 MiB, 30350 MiB, 2160 MiB
2022/04/22 10:33:12.077, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 0 %, 32510 MiB, 30294 MiB, 2216 MiB
2022/04/22 10:33:12.077, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 0 %, 32510 MiB, 30374 MiB, 2136 MiB
[rank:0] iter: 200/1100, loss: 0.4868571162223816, latency(ms): 28.8966258615255356 | 2022-04-22 10:33:12.699
[rank:0] iter: 300/1100, loss: 0.4964287281036377, latency(ms): 6.2574764341115952 | 2022-04-22 10:33:13.325
[rank:0] iter: 400/1100, loss: 0.4945968687534332, latency(ms): 6.2151585519313812 | 2022-04-22 10:33:13.946
[rank:0] iter: 500/1100, loss: 0.4934798479080200, latency(ms): 6.1452320218086243 | 2022-04-22 10:33:14.561
[rank:0] iter: 600/1100, loss: 0.4823148250579834, latency(ms): 6.2220541015267372 | 2022-04-22 10:33:15.183
[rank:0] iter: 700/1100, loss: 0.4722241461277008, latency(ms): 6.3218554109334946 | 2022-04-22 10:33:15.815
[rank:0] iter: 800/1100, loss: 0.4828444421291351, latency(ms): 6.2837476283311844 | 2022-04-22 10:33:16.443
[rank:0] iter: 900/1100, loss: 0.4847885072231293, latency(ms): 6.0630114004015923 | 2022-04-22 10:33:17.050
[rank:0] iter: 1000/1100, loss: 0.4779329597949982, latency(ms): 6.1551555246114731 | 2022-04-22 10:33:17.665
[rank:0] iter: 1100/1100, loss: 0.4773701131343842, latency(ms): 6.2655946612358093 | 2022-04-22 10:33:18.292