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: /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 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: 0.0618858821690083, latency(ms): 190.9563516080379486 | 2022-05-09 23:00:37.745 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] 2022/05/09 23:00:37.913, Tesla V100-SXM2-32GB, 470.57.02, 44 %, 19 %, 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] 2022/05/09 23:00:37.916, Tesla V100-SXM2-32GB, 470.57.02, 44 %, 19 %, 32510 MiB, 29709 MiB, 2801 MiB 2022/05/09 23:00:37.918, Tesla V100-SXM2-32GB, 470.57.02, 15 %, 7 %, 32510 MiB, 29665 MiB, 2845 MiB 2022/05/09 23:00:37.918, Tesla V100-SXM2-32GB, 470.57.02, 44 %, 19 %, 32510 MiB, 29709 MiB, 2801 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/09 23:00:37.920, Tesla V100-SXM2-32GB, 470.57.02, 44 %, 19 %, 32510 MiB, 29709 MiB, 2801 MiB 2022/05/09 23:00:37.923, Tesla V100-SXM2-32GB, 470.57.02, 15 %, 7 %, 32510 MiB, 29665 MiB, 2845 MiB 2022/05/09 23:00:37.925, Tesla V100-SXM2-32GB, 470.57.02, 77 %, 32 %, 32510 MiB, 29817 MiB, 2693 MiB 2022/05/09 23:00:37.926, Tesla V100-SXM2-32GB, 470.57.02, 15 %, 7 %, 32510 MiB, 29665 MiB, 2845 MiB 2022/05/09 23:00:37.928, Tesla V100-SXM2-32GB, 470.57.02, 15 %, 7 %, 32510 MiB, 29665 MiB, 2845 MiB 2022/05/09 23:00:37.928, Tesla V100-SXM2-32GB, 470.57.02, 44 %, 19 %, 32510 MiB, 29709 MiB, 2801 MiB 2022/05/09 23:00:37.931, Tesla V100-SXM2-32GB, 470.57.02, 77 %, 32 %, 32510 MiB, 29817 MiB, 2693 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/09 23:00:37.933, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 16 %, 32510 MiB, 29833 MiB, 2677 MiB 2022/05/09 23:00:37.934, Tesla V100-SXM2-32GB, 470.57.02, 77 %, 32 %, 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] 2022/05/09 23:00:37.935, Tesla V100-SXM2-32GB, 470.57.02, 77 %, 32 %, 32510 MiB, 29817 MiB, 2693 MiB 2022/05/09 23:00:37.935, Tesla V100-SXM2-32GB, 470.57.02, 15 %, 7 %, 32510 MiB, 29665 MiB, 2845 MiB 2022/05/09 23:00:37.937, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 16 %, 32510 MiB, 29833 MiB, 2677 MiB 2022/05/09 23:00:37.939, Tesla V100-SXM2-32GB, 470.57.02, 58 %, 24 %, 32510 MiB, 29737 MiB, 2773 MiB 2022/05/09 23:00:37.938, Tesla V100-SXM2-32GB, 470.57.02, 44 %, 19 %, 32510 MiB, 29709 MiB, 2801 MiB 2022/05/09 23:00:37.939, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 16 %, 32510 MiB, 29833 MiB, 2677 MiB 2022/05/09 23:00:37.939, Tesla V100-SXM2-32GB, 470.57.02, 44 %, 19 %, 32510 MiB, 29709 MiB, 2801 MiB 2022/05/09 23:00:37.941, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 16 %, 32510 MiB, 29833 MiB, 2677 MiB 2022/05/09 23:00:37.942, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29817 MiB, 2693 MiB 2022/05/09 23:00:37.941, Tesla V100-SXM2-32GB, 470.57.02, 44 %, 19 %, 32510 MiB, 29709 MiB, 2801 MiB 2022/05/09 23:00:37.944, Tesla V100-SXM2-32GB, 470.57.02, 58 %, 24 %, 32510 MiB, 29737 MiB, 2773 MiB 2022/05/09 23:00:37.946, Tesla V100-SXM2-32GB, 470.57.02, 4 %, 2 %, 32510 MiB, 29713 MiB, 2797 MiB 2022/05/09 23:00:37.947, Tesla V100-SXM2-32GB, 470.57.02, 15 %, 7 %, 32510 MiB, 29665 MiB, 2845 MiB 2022/05/09 23:00:37.947, Tesla V100-SXM2-32GB, 470.57.02, 58 %, 24 %, 32510 MiB, 29737 MiB, 2773 MiB 2022/05/09 23:00:37.948, Tesla V100-SXM2-32GB, 470.57.02, 15 %, 7 %, 32510 MiB, 29665 MiB, 2845 MiB 2022/05/09 23:00:37.950, Tesla V100-SXM2-32GB, 470.57.02, 58 %, 24 %, 32510 MiB, 29737 MiB, 2773 MiB 2022/05/09 23:00:37.951, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 16 %, 32510 MiB, 29833 MiB, 2677 MiB 2022/05/09 23:00:37.951, Tesla V100-SXM2-32GB, 470.57.02, 15 %, 7 %, 32510 MiB, 29665 MiB, 2845 MiB 2022/05/09 23:00:37.954, Tesla V100-SXM2-32GB, 470.57.02, 4 %, 2 %, 32510 MiB, 29713 MiB, 2797 MiB 2022/05/09 23:00:37.956, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29553 MiB, 2957 MiB 2022/05/09 23:00:37.957, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29817 MiB, 2693 MiB 2022/05/09 23:00:37.957, Tesla V100-SXM2-32GB, 470.57.02, 4 %, 2 %, 32510 MiB, 29713 MiB, 2797 MiB 2022/05/09 23:00:37.958, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29817 MiB, 2693 MiB 2022/05/09 23:00:37.959, Tesla V100-SXM2-32GB, 470.57.02, 4 %, 2 %, 32510 MiB, 29713 MiB, 2797 MiB 2022/05/09 23:00:37.960, Tesla V100-SXM2-32GB, 470.57.02, 58 %, 24 %, 32510 MiB, 29737 MiB, 2773 MiB 2022/05/09 23:00:37.960, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29817 MiB, 2693 MiB 2022/05/09 23:00:37.962, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29553 MiB, 2957 MiB 2022/05/09 23:00:37.964, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29697 MiB, 2813 MiB 2022/05/09 23:00:37.965, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 16 %, 32510 MiB, 29833 MiB, 2677 MiB 2022/05/09 23:00:37.965, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29553 MiB, 2957 MiB 2022/05/09 23:00:37.966, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 16 %, 32510 MiB, 29833 MiB, 2677 MiB 2022/05/09 23:00:37.968, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29553 MiB, 2957 MiB 2022/05/09 23:00:37.968, Tesla V100-SXM2-32GB, 470.57.02, 4 %, 2 %, 32510 MiB, 29713 MiB, 2797 MiB 2022/05/09 23:00:37.968, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 16 %, 32510 MiB, 29833 MiB, 2677 MiB 2022/05/09 23:00:37.971, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29697 MiB, 2813 MiB 2022/05/09 23:00:37.973, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29737 MiB, 2773 MiB 2022/05/09 23:00:37.974, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29697 MiB, 2813 MiB 2022/05/09 23:00:37.975, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29737 MiB, 2773 MiB 2022/05/09 23:00:37.976, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29697 MiB, 2813 MiB 2022/05/09 23:00:37.977, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29553 MiB, 2957 MiB 2022/05/09 23:00:37.977, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29737 MiB, 2773 MiB 2022/05/09 23:00:37.982, Tesla V100-SXM2-32GB, 470.57.02, 4 %, 2 %, 32510 MiB, 29713 MiB, 2797 MiB 2022/05/09 23:00:37.983, Tesla V100-SXM2-32GB, 470.57.02, 4 %, 2 %, 32510 MiB, 29713 MiB, 2797 MiB 2022/05/09 23:00:37.985, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29697 MiB, 2813 MiB 2022/05/09 23:00:37.985, Tesla V100-SXM2-32GB, 470.57.02, 4 %, 2 %, 32510 MiB, 29713 MiB, 2797 MiB 2022/05/09 23:00:37.989, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29553 MiB, 2957 MiB 2022/05/09 23:00:37.990, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29553 MiB, 2957 MiB 2022/05/09 23:00:37.992, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29553 MiB, 2957 MiB 2022/05/09 23:00:37.996, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29697 MiB, 2813 MiB 2022/05/09 23:00:37.997, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29697 MiB, 2813 MiB 2022/05/09 23:00:37.999, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29697 MiB, 2813 MiB [rank:0] iter: 200/1100, loss: 0.0581343062222004, latency(ms): 24.2228699475526810 | 2022-05-09 23:00:40.167 [rank:0] iter: 300/1100, loss: 0.0572907477617264, latency(ms): 21.1016726121306419 | 2022-05-09 23:00:42.277 [rank:0] iter: 400/1100, loss: 0.0562399849295616, latency(ms): 21.4756939560174942 | 2022-05-09 23:00:44.425 [rank:0] iter: 500/1100, loss: 0.0559483021497726, latency(ms): 21.6392561048269272 | 2022-05-09 23:00:46.589 [rank:0] iter: 600/1100, loss: 0.0555093102157116, latency(ms): 22.1114519983530045 | 2022-05-09 23:00:48.800 [rank:0] iter: 700/1100, loss: 0.0545888952910900, latency(ms): 21.7030809447169304 | 2022-05-09 23:00:50.970 [rank:0] iter: 800/1100, loss: 0.0546806231141090, latency(ms): 20.9845536947250366 | 2022-05-09 23:00:53.068 [rank:0] iter: 900/1100, loss: 0.0536617562174797, latency(ms): 21.5919486805796623 | 2022-05-09 23:00:55.228 [rank:0] iter: 1000/1100, loss: 0.0532619319856167, latency(ms): 21.1291389912366867 | 2022-05-09 23:00:57.341 [rank:0] iter: 1100/1100, loss: 0.0533203333616257, latency(ms): 21.1394118890166283 | 2022-05-09 23:00:59.455