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: 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: 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
------------------------ arguments ------------------------
  batch_size ...................................... 131072
  batch_size_per_proc ............................. 16384
  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: 0.0618669129908085, latency(ms): 195.5061106383800507 | 2022-04-22 10:32:32.885
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/22 10:32:33.024, Tesla V100-SXM2-32GB, 470.57.02, 72 %, 31 %, 32510 MiB, 29709 MiB, 2801 MiB
2022/04/22 10:32:33.030, Tesla V100-SXM2-32GB, 470.57.02, 100 %, 42 %, 32510 MiB, 29665 MiB, 2845 MiB
2022/04/22 10:32:33.039, Tesla V100-SXM2-32GB, 470.57.02, 41 %, 18 %, 32510 MiB, 29817 MiB, 2693 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 10:32:33.048, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29833 MiB, 2677 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 10:32:33.052, Tesla V100-SXM2-32GB, 470.57.02, 72 %, 31 %, 32510 MiB, 29709 MiB, 2801 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 10:32:33.054, Tesla V100-SXM2-32GB, 470.57.02, 72 %, 31 %, 32510 MiB, 29709 MiB, 2801 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/22 10:32:33.055, Tesla V100-SXM2-32GB, 470.57.02, 45 %, 19 %, 32510 MiB, 29801 MiB, 2709 MiB
2022/04/22 10:32:33.056, Tesla V100-SXM2-32GB, 470.57.02, 72 %, 31 %, 32510 MiB, 29709 MiB, 2801 MiB
2022/04/22 10:32:33.057, Tesla V100-SXM2-32GB, 470.57.02, 72 %, 31 %, 32510 MiB, 29709 MiB, 2801 MiB
2022/04/22 10:32:33.059, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 29665 MiB, 2845 MiB
2022/04/22 10:32:33.059, Tesla V100-SXM2-32GB, 470.57.02, 72 %, 31 %, 32510 MiB, 29709 MiB, 2801 MiB
2022/04/22 10:32:33.061, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 29665 MiB, 2845 MiB
2022/04/22 10:32:33.061, Tesla V100-SXM2-32GB, 470.57.02, 72 %, 31 %, 32510 MiB, 29709 MiB, 2801 MiB
2022/04/22 10:32:33.063, Tesla V100-SXM2-32GB, 470.57.02, 18 %, 8 %, 32510 MiB, 29665 MiB, 2845 MiB
2022/04/22 10:32:33.062, Tesla V100-SXM2-32GB, 470.57.02, 72 %, 31 %, 32510 MiB, 29709 MiB, 2801 MiB
2022/04/22 10:32:33.064, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 29665 MiB, 2845 MiB
2022/04/22 10:32:33.067, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 29665 MiB, 2845 MiB
2022/04/22 10:32:33.069, Tesla V100-SXM2-32GB, 470.57.02, 41 %, 18 %, 32510 MiB, 29817 MiB, 2693 MiB
2022/04/22 10:32:33.070, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 29665 MiB, 2845 MiB
2022/04/22 10:32:33.071, Tesla V100-SXM2-32GB, 470.57.02, 41 %, 18 %, 32510 MiB, 29817 MiB, 2693 MiB
2022/04/22 10:32:33.072, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 29665 MiB, 2845 MiB
2022/04/22 10:32:33.073, Tesla V100-SXM2-32GB, 470.57.02, 26 %, 11 %, 32510 MiB, 29537 MiB, 2973 MiB
2022/04/22 10:32:33.074, Tesla V100-SXM2-32GB, 470.57.02, 3 %, 2 %, 32510 MiB, 29665 MiB, 2845 MiB
2022/04/22 10:32:33.075, Tesla V100-SXM2-32GB, 470.57.02, 41 %, 18 %, 32510 MiB, 29817 MiB, 2693 MiB
2022/04/22 10:32:33.077, Tesla V100-SXM2-32GB, 470.57.02, 41 %, 18 %, 32510 MiB, 29817 MiB, 2693 MiB
2022/04/22 10:32:33.079, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29833 MiB, 2677 MiB
2022/04/22 10:32:33.081, Tesla V100-SXM2-32GB, 470.57.02, 41 %, 18 %, 32510 MiB, 29817 MiB, 2693 MiB
2022/04/22 10:32:33.082, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29833 MiB, 2677 MiB
2022/04/22 10:32:33.083, Tesla V100-SXM2-32GB, 470.57.02, 41 %, 18 %, 32510 MiB, 29817 MiB, 2693 MiB
2022/04/22 10:32:33.084, Tesla V100-SXM2-32GB, 470.57.02, 55 %, 25 %, 32510 MiB, 29713 MiB, 2797 MiB
2022/04/22 10:32:33.084, Tesla V100-SXM2-32GB, 470.57.02, 41 %, 18 %, 32510 MiB, 29817 MiB, 2693 MiB
2022/04/22 10:32:33.086, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29833 MiB, 2677 MiB
2022/04/22 10:32:33.088, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29833 MiB, 2677 MiB
2022/04/22 10:32:33.090, Tesla V100-SXM2-32GB, 470.57.02, 45 %, 19 %, 32510 MiB, 29801 MiB, 2709 MiB
2022/04/22 10:32:33.092, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29833 MiB, 2677 MiB
2022/04/22 10:32:33.093, Tesla V100-SXM2-32GB, 470.57.02, 45 %, 19 %, 32510 MiB, 29801 MiB, 2709 MiB
2022/04/22 10:32:33.094, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29833 MiB, 2677 MiB
2022/04/22 10:32:33.095, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29833 MiB, 2677 MiB
2022/04/22 10:32:33.097, Tesla V100-SXM2-32GB, 470.57.02, 45 %, 19 %, 32510 MiB, 29801 MiB, 2709 MiB
2022/04/22 10:32:33.099, Tesla V100-SXM2-32GB, 470.57.02, 45 %, 19 %, 32510 MiB, 29801 MiB, 2709 MiB
2022/04/22 10:32:33.101, Tesla V100-SXM2-32GB, 470.57.02, 18 %, 8 %, 32510 MiB, 29665 MiB, 2845 MiB
2022/04/22 10:32:33.103, Tesla V100-SXM2-32GB, 470.57.02, 45 %, 19 %, 32510 MiB, 29801 MiB, 2709 MiB
2022/04/22 10:32:33.104, Tesla V100-SXM2-32GB, 470.57.02, 18 %, 8 %, 32510 MiB, 29665 MiB, 2845 MiB
2022/04/22 10:32:33.105, Tesla V100-SXM2-32GB, 470.57.02, 45 %, 19 %, 32510 MiB, 29801 MiB, 2709 MiB
2022/04/22 10:32:33.106, Tesla V100-SXM2-32GB, 470.57.02, 45 %, 19 %, 32510 MiB, 29801 MiB, 2709 MiB
2022/04/22 10:32:33.108, Tesla V100-SXM2-32GB, 470.57.02, 18 %, 8 %, 32510 MiB, 29665 MiB, 2845 MiB
2022/04/22 10:32:33.110, Tesla V100-SXM2-32GB, 470.57.02, 18 %, 8 %, 32510 MiB, 29665 MiB, 2845 MiB
2022/04/22 10:32:33.112, Tesla V100-SXM2-32GB, 470.57.02, 26 %, 11 %, 32510 MiB, 29537 MiB, 2973 MiB
2022/04/22 10:32:33.114, Tesla V100-SXM2-32GB, 470.57.02, 18 %, 8 %, 32510 MiB, 29665 MiB, 2845 MiB
2022/04/22 10:32:33.114, Tesla V100-SXM2-32GB, 470.57.02, 26 %, 11 %, 32510 MiB, 29537 MiB, 2973 MiB
2022/04/22 10:32:33.115, Tesla V100-SXM2-32GB, 470.57.02, 18 %, 8 %, 32510 MiB, 29665 MiB, 2845 MiB
2022/04/22 10:32:33.117, Tesla V100-SXM2-32GB, 470.57.02, 18 %, 8 %, 32510 MiB, 29665 MiB, 2845 MiB
2022/04/22 10:32:33.118, Tesla V100-SXM2-32GB, 470.57.02, 26 %, 11 %, 32510 MiB, 29537 MiB, 2973 MiB
2022/04/22 10:32:33.120, Tesla V100-SXM2-32GB, 470.57.02, 26 %, 11 %, 32510 MiB, 29537 MiB, 2973 MiB
2022/04/22 10:32:33.123, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29713 MiB, 2797 MiB
2022/04/22 10:32:33.124, Tesla V100-SXM2-32GB, 470.57.02, 26 %, 11 %, 32510 MiB, 29537 MiB, 2973 MiB
2022/04/22 10:32:33.125, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29713 MiB, 2797 MiB
2022/04/22 10:32:33.126, Tesla V100-SXM2-32GB, 470.57.02, 26 %, 11 %, 32510 MiB, 29537 MiB, 2973 MiB
2022/04/22 10:32:33.127, Tesla V100-SXM2-32GB, 470.57.02, 26 %, 11 %, 32510 MiB, 29537 MiB, 2973 MiB
2022/04/22 10:32:33.129, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29713 MiB, 2797 MiB
2022/04/22 10:32:33.131, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29713 MiB, 2797 MiB
2022/04/22 10:32:33.134, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29713 MiB, 2797 MiB
2022/04/22 10:32:33.141, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29713 MiB, 2797 MiB
2022/04/22 10:32:33.142, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29713 MiB, 2797 MiB
[rank:0] iter: 200/1100, loss: 0.0581784024834633, latency(ms): 23.7317633628845215 | 2022-04-22 10:32:35.258
[rank:0] iter: 300/1100, loss: 0.0572947151958942, latency(ms): 21.6588312387466431 | 2022-04-22 10:32:37.424
[rank:0] iter: 400/1100, loss: 0.0562767274677753, latency(ms): 21.1426113918423653 | 2022-04-22 10:32:39.538
[rank:0] iter: 500/1100, loss: 0.0559810772538185, latency(ms): 21.5883923694491386 | 2022-04-22 10:32:41.697
[rank:0] iter: 600/1100, loss: 0.0555633790791035, latency(ms): 21.2775175273418427 | 2022-04-22 10:32:43.825
[rank:0] iter: 700/1100, loss: 0.0546335801482201, latency(ms): 21.1478988081216812 | 2022-04-22 10:32:45.940
[rank:0] iter: 800/1100, loss: 0.0547476261854172, latency(ms): 21.3643484190106392 | 2022-04-22 10:32:48.076
[rank:0] iter: 900/1100, loss: 0.0537317506968975, latency(ms): 21.2044452503323555 | 2022-04-22 10:32:50.197
[rank:0] iter: 1000/1100, loss: 0.0533265508711338, latency(ms): 21.2345941737294197 | 2022-04-22 10:32:52.320
[rank:0] iter: 1100/1100, loss: 0.0533672608435154, latency(ms): 20.8970436453819275 | 2022-04-22 10:32:54.410