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: loaded library: 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/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
------------------------ 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: 0.5045140981674194, latency(ms): 86.3391466811299324 | 2022-04-15 15:27:34.664
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]
2022/04/15 15:27:34.783, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 27 %, 32510 MiB, 30124 MiB, 2386 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/15 15:27:34.786, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 27 %, 32510 MiB, 30124 MiB, 2386 MiB
2022/04/15 15:27:34.787, Tesla V100-SXM2-32GB, 470.57.02, 21 %, 7 %, 32510 MiB, 30144 MiB, 2366 MiB
2022/04/15 15:27:34.789, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 27 %, 32510 MiB, 30124 MiB, 2386 MiB
2022/04/15 15:27:34.790, Tesla V100-SXM2-32GB, 470.57.02, 21 %, 7 %, 32510 MiB, 30144 MiB, 2366 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/15 15:27:34.791, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 29 %, 32510 MiB, 30220 MiB, 2290 MiB
2022/04/15 15:27:34.795, Tesla V100-SXM2-32GB, 470.57.02, 21 %, 7 %, 32510 MiB, 30144 MiB, 2366 MiB
2022/04/15 15:27:34.796, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 29 %, 32510 MiB, 30220 MiB, 2290 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/15 15:27:34.797, Tesla V100-SXM2-32GB, 470.57.02, 43 %, 26 %, 32510 MiB, 30196 MiB, 2314 MiB
2022/04/15 15:27:34.797, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 27 %, 32510 MiB, 30124 MiB, 2386 MiB
2022/04/15 15:27:34.801, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 29 %, 32510 MiB, 30220 MiB, 2290 MiB
2022/04/15 15:27:34.802, Tesla V100-SXM2-32GB, 470.57.02, 43 %, 26 %, 32510 MiB, 30196 MiB, 2314 MiB
2022/04/15 15:27:34.804, Tesla V100-SXM2-32GB, 470.57.02, 49 %, 20 %, 32510 MiB, 30204 MiB, 2306 MiB
2022/04/15 15:27:34.803, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 27 %, 32510 MiB, 30124 MiB, 2386 MiB
2022/04/15 15:27:34.804, Tesla V100-SXM2-32GB, 470.57.02, 21 %, 7 %, 32510 MiB, 30144 MiB, 2366 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/15 15:27:34.808, Tesla V100-SXM2-32GB, 470.57.02, 43 %, 26 %, 32510 MiB, 30196 MiB, 2314 MiB
2022/04/15 15:27:34.809, Tesla V100-SXM2-32GB, 470.57.02, 49 %, 20 %, 32510 MiB, 30204 MiB, 2306 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/15 15:27:34.810, Tesla V100-SXM2-32GB, 470.57.02, 5 %, 2 %, 32510 MiB, 30136 MiB, 2374 MiB
2022/04/15 15:27:34.810, Tesla V100-SXM2-32GB, 470.57.02, 21 %, 7 %, 32510 MiB, 30144 MiB, 2366 MiB
2022/04/15 15:27:34.810, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 29 %, 32510 MiB, 30220 MiB, 2290 MiB
timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB]
2022/04/15 15:27:34.813, Tesla V100-SXM2-32GB, 470.57.02, 49 %, 20 %, 32510 MiB, 30204 MiB, 2306 MiB
2022/04/15 15:27:34.813, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 27 %, 32510 MiB, 30124 MiB, 2386 MiB
2022/04/15 15:27:34.814, Tesla V100-SXM2-32GB, 470.57.02, 5 %, 2 %, 32510 MiB, 30136 MiB, 2374 MiB
2022/04/15 15:27:34.814, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 27 %, 32510 MiB, 30124 MiB, 2386 MiB
2022/04/15 15:27:34.815, Tesla V100-SXM2-32GB, 470.57.02, 29 %, 13 %, 32510 MiB, 30080 MiB, 2430 MiB
2022/04/15 15:27:34.816, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 29 %, 32510 MiB, 30220 MiB, 2290 MiB
2022/04/15 15:27:34.816, Tesla V100-SXM2-32GB, 470.57.02, 43 %, 26 %, 32510 MiB, 30196 MiB, 2314 MiB
2022/04/15 15:27:34.817, Tesla V100-SXM2-32GB, 470.57.02, 63 %, 27 %, 32510 MiB, 30124 MiB, 2386 MiB
2022/04/15 15:27:34.820, Tesla V100-SXM2-32GB, 470.57.02, 5 %, 2 %, 32510 MiB, 30136 MiB, 2374 MiB
2022/04/15 15:27:34.820, Tesla V100-SXM2-32GB, 470.57.02, 21 %, 7 %, 32510 MiB, 30144 MiB, 2366 MiB
2022/04/15 15:27:34.821, Tesla V100-SXM2-32GB, 470.57.02, 29 %, 13 %, 32510 MiB, 30080 MiB, 2430 MiB
2022/04/15 15:27:34.822, Tesla V100-SXM2-32GB, 470.57.02, 21 %, 7 %, 32510 MiB, 30144 MiB, 2366 MiB
2022/04/15 15:27:34.822, Tesla V100-SXM2-32GB, 470.57.02, 32 %, 13 %, 32510 MiB, 30160 MiB, 2350 MiB
2022/04/15 15:27:34.823, Tesla V100-SXM2-32GB, 470.57.02, 43 %, 26 %, 32510 MiB, 30196 MiB, 2314 MiB
2022/04/15 15:27:34.823, Tesla V100-SXM2-32GB, 470.57.02, 49 %, 20 %, 32510 MiB, 30204 MiB, 2306 MiB
2022/04/15 15:27:34.825, Tesla V100-SXM2-32GB, 470.57.02, 21 %, 7 %, 32510 MiB, 30144 MiB, 2366 MiB
2022/04/15 15:27:34.827, Tesla V100-SXM2-32GB, 470.57.02, 29 %, 13 %, 32510 MiB, 30080 MiB, 2430 MiB
2022/04/15 15:27:34.828, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 29 %, 32510 MiB, 30220 MiB, 2290 MiB
2022/04/15 15:27:34.828, Tesla V100-SXM2-32GB, 470.57.02, 32 %, 13 %, 32510 MiB, 30160 MiB, 2350 MiB
2022/04/15 15:27:34.830, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 29 %, 32510 MiB, 30220 MiB, 2290 MiB
2022/04/15 15:27:34.831, Tesla V100-SXM2-32GB, 470.57.02, 49 %, 20 %, 32510 MiB, 30204 MiB, 2306 MiB
2022/04/15 15:27:34.832, Tesla V100-SXM2-32GB, 470.57.02, 5 %, 2 %, 32510 MiB, 30136 MiB, 2374 MiB
2022/04/15 15:27:34.834, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 29 %, 32510 MiB, 30220 MiB, 2290 MiB
2022/04/15 15:27:34.837, Tesla V100-SXM2-32GB, 470.57.02, 32 %, 13 %, 32510 MiB, 30160 MiB, 2350 MiB
2022/04/15 15:27:34.837, Tesla V100-SXM2-32GB, 470.57.02, 43 %, 26 %, 32510 MiB, 30196 MiB, 2314 MiB
2022/04/15 15:27:34.839, Tesla V100-SXM2-32GB, 470.57.02, 43 %, 26 %, 32510 MiB, 30196 MiB, 2314 MiB
2022/04/15 15:27:34.840, Tesla V100-SXM2-32GB, 470.57.02, 5 %, 2 %, 32510 MiB, 30136 MiB, 2374 MiB
2022/04/15 15:27:34.841, Tesla V100-SXM2-32GB, 470.57.02, 29 %, 13 %, 32510 MiB, 30080 MiB, 2430 MiB
2022/04/15 15:27:34.843, Tesla V100-SXM2-32GB, 470.57.02, 43 %, 26 %, 32510 MiB, 30196 MiB, 2314 MiB
2022/04/15 15:27:34.846, Tesla V100-SXM2-32GB, 470.57.02, 49 %, 20 %, 32510 MiB, 30204 MiB, 2306 MiB
2022/04/15 15:27:34.848, Tesla V100-SXM2-32GB, 470.57.02, 49 %, 20 %, 32510 MiB, 30204 MiB, 2306 MiB
2022/04/15 15:27:34.849, Tesla V100-SXM2-32GB, 470.57.02, 29 %, 13 %, 32510 MiB, 30080 MiB, 2430 MiB
2022/04/15 15:27:34.850, Tesla V100-SXM2-32GB, 470.57.02, 32 %, 13 %, 32510 MiB, 30160 MiB, 2350 MiB
2022/04/15 15:27:34.852, Tesla V100-SXM2-32GB, 470.57.02, 49 %, 20 %, 32510 MiB, 30204 MiB, 2306 MiB
2022/04/15 15:27:34.854, Tesla V100-SXM2-32GB, 470.57.02, 5 %, 2 %, 32510 MiB, 30136 MiB, 2374 MiB
2022/04/15 15:27:34.856, Tesla V100-SXM2-32GB, 470.57.02, 5 %, 2 %, 32510 MiB, 30136 MiB, 2374 MiB
2022/04/15 15:27:34.857, Tesla V100-SXM2-32GB, 470.57.02, 32 %, 13 %, 32510 MiB, 30160 MiB, 2350 MiB
2022/04/15 15:27:34.860, Tesla V100-SXM2-32GB, 470.57.02, 5 %, 2 %, 32510 MiB, 30136 MiB, 2374 MiB
2022/04/15 15:27:34.862, Tesla V100-SXM2-32GB, 470.57.02, 29 %, 13 %, 32510 MiB, 30080 MiB, 2430 MiB
2022/04/15 15:27:34.866, Tesla V100-SXM2-32GB, 470.57.02, 29 %, 13 %, 32510 MiB, 30080 MiB, 2430 MiB
2022/04/15 15:27:34.870, Tesla V100-SXM2-32GB, 470.57.02, 29 %, 13 %, 32510 MiB, 30080 MiB, 2430 MiB
2022/04/15 15:27:34.875, Tesla V100-SXM2-32GB, 470.57.02, 32 %, 13 %, 32510 MiB, 30160 MiB, 2350 MiB
2022/04/15 15:27:34.877, Tesla V100-SXM2-32GB, 470.57.02, 32 %, 13 %, 32510 MiB, 30160 MiB, 2350 MiB
2022/04/15 15:27:34.880, Tesla V100-SXM2-32GB, 470.57.02, 32 %, 13 %, 32510 MiB, 30160 MiB, 2350 MiB
[rank:0] iter: 200/1100, loss: 0.4703263044357300, latency(ms): 23.8042333722114563 | 2022-04-15 15:27:37.045
[rank:0] iter: 300/1100, loss: 0.4637582004070282, latency(ms): 21.4092302322387695 | 2022-04-15 15:27:39.186
[rank:0] iter: 400/1100, loss: 0.4601306021213531, latency(ms): 21.0032714158296585 | 2022-04-15 15:27:41.286
[rank:0] iter: 500/1100, loss: 0.4576598107814789, latency(ms): 21.5906682610511780 | 2022-04-15 15:27:43.445
[rank:0] iter: 600/1100, loss: 0.4529008567333221, latency(ms): 21.1938457936048508 | 2022-04-15 15:27:45.564
[rank:0] iter: 700/1100, loss: 0.4460327923297882, latency(ms): 21.1219842359423637 | 2022-04-15 15:27:47.676
[rank:0] iter: 800/1100, loss: 0.4458019137382507, latency(ms): 21.8991850689053535 | 2022-04-15 15:27:49.866
[rank:0] iter: 900/1100, loss: 0.4463095068931580, latency(ms): 21.3682195916771889 | 2022-04-15 15:27:52.003
[rank:0] iter: 1000/1100, loss: 0.4440286755561829, latency(ms): 21.0010660439729691 | 2022-04-15 15:27:54.103
[rank:0] iter: 1100/1100, loss: 0.4472518861293793, latency(ms): 20.9635161980986595 | 2022-04-15 15:27:56.200