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 ...................................... 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: 0.5045768618583679, latency(ms): 84.6366831660270691 | 2022-04-21 16:45:42.926
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]
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/21 16:45:43.078, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30120 MiB, 2390 MiB
2022/04/21 16:45:43.079, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30120 MiB, 2390 MiB
2022/04/21 16:45:43.080, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30120 MiB, 2390 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/21 16:45:43.081, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30120 MiB, 2390 MiB
2022/04/21 16:45:43.084, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 26 %, 32510 MiB, 30140 MiB, 2370 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/21 16:45:43.085, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 26 %, 32510 MiB, 30140 MiB, 2370 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/21 16:45:43.086, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 26 %, 32510 MiB, 30140 MiB, 2370 MiB
2022/04/21 16:45:43.086, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30120 MiB, 2390 MiB
2022/04/21 16:45:43.088, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 26 %, 32510 MiB, 30140 MiB, 2370 MiB
2022/04/21 16:45:43.090, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30216 MiB, 2294 MiB
2022/04/21 16:45:43.090, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30120 MiB, 2390 MiB
2022/04/21 16:45:43.091, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30216 MiB, 2294 MiB
2022/04/21 16:45:43.093, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30216 MiB, 2294 MiB
2022/04/21 16:45:43.092, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30120 MiB, 2390 MiB
2022/04/21 16:45:43.094, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 26 %, 32510 MiB, 30140 MiB, 2370 MiB
2022/04/21 16:45:43.095, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30216 MiB, 2294 MiB
2022/04/21 16:45:43.097, Tesla V100-SXM2-32GB, 470.57.02, 11 %, 5 %, 32510 MiB, 30192 MiB, 2318 MiB
2022/04/21 16:45:43.099, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 26 %, 32510 MiB, 30140 MiB, 2370 MiB
2022/04/21 16:45:43.099, Tesla V100-SXM2-32GB, 470.57.02, 11 %, 5 %, 32510 MiB, 30192 MiB, 2318 MiB
2022/04/21 16:45:43.100, Tesla V100-SXM2-32GB, 470.57.02, 11 %, 5 %, 32510 MiB, 30192 MiB, 2318 MiB
2022/04/21 16:45:43.101, Tesla V100-SXM2-32GB, 470.57.02, 73 %, 26 %, 32510 MiB, 30140 MiB, 2370 MiB
2022/04/21 16:45:43.102, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30216 MiB, 2294 MiB
2022/04/21 16:45:43.103, Tesla V100-SXM2-32GB, 470.57.02, 11 %, 5 %, 32510 MiB, 30192 MiB, 2318 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/21 16:45:43.107, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 7 %, 32510 MiB, 30200 MiB, 2310 MiB
2022/04/21 16:45:43.109, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30216 MiB, 2294 MiB
2022/04/21 16:45:43.110, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 7 %, 32510 MiB, 30200 MiB, 2310 MiB
2022/04/21 16:45:43.113, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 7 %, 32510 MiB, 30200 MiB, 2310 MiB
2022/04/21 16:45:43.113, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30216 MiB, 2294 MiB
2022/04/21 16:45:43.114, Tesla V100-SXM2-32GB, 470.57.02, 11 %, 5 %, 32510 MiB, 30192 MiB, 2318 MiB
2022/04/21 16:45:43.115, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 7 %, 32510 MiB, 30200 MiB, 2310 MiB
2022/04/21 16:45:43.119, Tesla V100-SXM2-32GB, 470.57.02, 68 %, 25 %, 32510 MiB, 30132 MiB, 2378 MiB
2022/04/21 16:45:43.118, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30120 MiB, 2390 MiB
2022/04/21 16:45:43.120, Tesla V100-SXM2-32GB, 470.57.02, 11 %, 5 %, 32510 MiB, 30192 MiB, 2318 MiB
2022/04/21 16:45:43.121, Tesla V100-SXM2-32GB, 470.57.02, 68 %, 25 %, 32510 MiB, 30132 MiB, 2378 MiB
2022/04/21 16:45:43.122, Tesla V100-SXM2-32GB, 470.57.02, 68 %, 25 %, 32510 MiB, 30132 MiB, 2378 MiB
2022/04/21 16:45:43.122, Tesla V100-SXM2-32GB, 470.57.02, 11 %, 5 %, 32510 MiB, 30192 MiB, 2318 MiB
2022/04/21 16:45:43.124, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 7 %, 32510 MiB, 30200 MiB, 2310 MiB
2022/04/21 16:45:43.125, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30132 MiB, 2378 MiB
2022/04/21 16:45:43.128, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 6 %, 32510 MiB, 30076 MiB, 2434 MiB
2022/04/21 16:45:43.129, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30140 MiB, 2370 MiB
2022/04/21 16:45:43.131, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 7 %, 32510 MiB, 30200 MiB, 2310 MiB
2022/04/21 16:45:43.131, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 6 %, 32510 MiB, 30076 MiB, 2434 MiB
2022/04/21 16:45:43.132, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 6 %, 32510 MiB, 30076 MiB, 2434 MiB
2022/04/21 16:45:43.132, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 7 %, 32510 MiB, 30200 MiB, 2310 MiB
2022/04/21 16:45:43.134, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30132 MiB, 2378 MiB
2022/04/21 16:45:43.135, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 6 %, 32510 MiB, 30076 MiB, 2434 MiB
2022/04/21 16:45:43.138, Tesla V100-SXM2-32GB, 470.57.02, 48 %, 18 %, 32510 MiB, 30156 MiB, 2354 MiB
2022/04/21 16:45:43.139, Tesla V100-SXM2-32GB, 470.57.02, 1 %, 1 %, 32510 MiB, 30216 MiB, 2294 MiB
2022/04/21 16:45:43.141, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30132 MiB, 2378 MiB
2022/04/21 16:45:43.141, Tesla V100-SXM2-32GB, 470.57.02, 48 %, 18 %, 32510 MiB, 30156 MiB, 2354 MiB
2022/04/21 16:45:43.143, Tesla V100-SXM2-32GB, 470.57.02, 48 %, 18 %, 32510 MiB, 30156 MiB, 2354 MiB
2022/04/21 16:45:43.143, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30132 MiB, 2378 MiB
2022/04/21 16:45:43.145, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 6 %, 32510 MiB, 30076 MiB, 2434 MiB
2022/04/21 16:45:43.146, Tesla V100-SXM2-32GB, 470.57.02, 48 %, 18 %, 32510 MiB, 30156 MiB, 2354 MiB
2022/04/21 16:45:43.151, Tesla V100-SXM2-32GB, 470.57.02, 11 %, 5 %, 32510 MiB, 30192 MiB, 2318 MiB
2022/04/21 16:45:43.152, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 6 %, 32510 MiB, 30076 MiB, 2434 MiB
2022/04/21 16:45:43.154, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 6 %, 32510 MiB, 30076 MiB, 2434 MiB
2022/04/21 16:45:43.156, Tesla V100-SXM2-32GB, 470.57.02, 48 %, 18 %, 32510 MiB, 30156 MiB, 2354 MiB
2022/04/21 16:45:43.160, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 7 %, 32510 MiB, 30200 MiB, 2310 MiB
2022/04/21 16:45:43.162, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30156 MiB, 2354 MiB
2022/04/21 16:45:43.163, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30156 MiB, 2354 MiB
2022/04/21 16:45:43.169, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30132 MiB, 2378 MiB
2022/04/21 16:45:43.176, Tesla V100-SXM2-32GB, 470.57.02, 13 %, 6 %, 32510 MiB, 30076 MiB, 2434 MiB
2022/04/21 16:45:43.189, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30156 MiB, 2354 MiB
[rank:0] iter: 200/1100, loss: 0.4710479378700256, latency(ms): 24.5588903501629829 | 2022-04-21 16:45:45.382
[rank:0] iter: 300/1100, loss: 0.4638001918792725, latency(ms): 20.8266030251979828 | 2022-04-21 16:45:47.464
[rank:0] iter: 400/1100, loss: 0.4601703882217407, latency(ms): 21.2557889893651009 | 2022-04-21 16:45:49.590
[rank:0] iter: 500/1100, loss: 0.4573505818843842, latency(ms): 21.4685464650392532 | 2022-04-21 16:45:51.737
[rank:0] iter: 600/1100, loss: 0.4527754485607147, latency(ms): 21.3723457232117653 | 2022-04-21 16:45:53.874
[rank:0] iter: 700/1100, loss: 0.4460937380790710, latency(ms): 20.8280451595783234 | 2022-04-21 16:45:55.957
[rank:0] iter: 800/1100, loss: 0.4459999203681946, latency(ms): 20.8709875121712685 | 2022-04-21 16:45:58.044
[rank:0] iter: 900/1100, loss: 0.4463219344615936, latency(ms): 21.5781232342123985 | 2022-04-21 16:46:00.202
[rank:0] iter: 1000/1100, loss: 0.4442344009876251, latency(ms): 20.2455146238207817 | 2022-04-21 16:46:02.226
[rank:0] iter: 1100/1100, loss: 0.4473521709442139, latency(ms): 21.0051797702908516 | 2022-04-21 16:46:04.327