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: 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 ...................................... 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 ............................................. 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: 0.0621077716350555, latency(ms): 182.7246417850255966 | 2022-04-15 15:25:16.636 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/15 15:25:16.770, Tesla V100-SXM2-32GB, 470.57.02, 98 %, 33 %, 32510 MiB, 30045 MiB, 2465 MiB 2022/04/15 15:25:16.777, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 22 %, 32510 MiB, 30097 MiB, 2413 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] 2022/04/15 15:25:16.784, Tesla V100-SXM2-32GB, 470.57.02, 27 %, 10 %, 32510 MiB, 30249 MiB, 2261 MiB 2022/04/15 15:25:16.785, Tesla V100-SXM2-32GB, 470.57.02, 9 %, 3 %, 32510 MiB, 30045 MiB, 2465 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] 2022/04/15 15:25:16.788, Tesla V100-SXM2-32GB, 470.57.02, 9 %, 3 %, 32510 MiB, 30045 MiB, 2465 MiB 2022/04/15 15:25:16.789, Tesla V100-SXM2-32GB, 470.57.02, 9 %, 3 %, 32510 MiB, 30045 MiB, 2465 MiB 2022/04/15 15:25:16.790, Tesla V100-SXM2-32GB, 470.57.02, 4 %, 1 %, 32510 MiB, 30201 MiB, 2309 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] 2022/04/15 15:25:16.792, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 22 %, 32510 MiB, 30097 MiB, 2413 MiB 2022/04/15 15:25:16.793, Tesla V100-SXM2-32GB, 470.57.02, 9 %, 3 %, 32510 MiB, 30045 MiB, 2465 MiB 2022/04/15 15:25:16.795, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 22 %, 32510 MiB, 30097 MiB, 2413 MiB 2022/04/15 15:25:16.795, Tesla V100-SXM2-32GB, 470.57.02, 9 %, 3 %, 32510 MiB, 30045 MiB, 2465 MiB 2022/04/15 15:25:16.796, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 22 %, 32510 MiB, 30097 MiB, 2413 MiB 2022/04/15 15:25:16.796, Tesla V100-SXM2-32GB, 470.57.02, 65 %, 25 %, 32510 MiB, 30185 MiB, 2325 MiB 2022/04/15 15:25:16.800, Tesla V100-SXM2-32GB, 470.57.02, 27 %, 10 %, 32510 MiB, 30249 MiB, 2261 MiB 2022/04/15 15:25:16.800, Tesla V100-SXM2-32GB, 470.57.02, 9 %, 3 %, 32510 MiB, 30045 MiB, 2465 MiB 2022/04/15 15:25:16.800, Tesla V100-SXM2-32GB, 470.57.02, 9 %, 3 %, 32510 MiB, 30045 MiB, 2465 MiB 2022/04/15 15:25:16.802, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 22 %, 32510 MiB, 30097 MiB, 2413 MiB 2022/04/15 15:25:16.804, Tesla V100-SXM2-32GB, 470.57.02, 27 %, 10 %, 32510 MiB, 30249 MiB, 2261 MiB 2022/04/15 15:25:16.805, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 22 %, 32510 MiB, 30097 MiB, 2413 MiB 2022/04/15 15:25:16.805, Tesla V100-SXM2-32GB, 470.57.02, 27 %, 10 %, 32510 MiB, 30249 MiB, 2261 MiB 2022/04/15 15:25:16.806, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 21 %, 32510 MiB, 30049 MiB, 2461 MiB 2022/04/15 15:25:16.808, Tesla V100-SXM2-32GB, 470.57.02, 4 %, 1 %, 32510 MiB, 30201 MiB, 2309 MiB 2022/04/15 15:25:16.808, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 22 %, 32510 MiB, 30097 MiB, 2413 MiB 2022/04/15 15:25:16.809, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 22 %, 32510 MiB, 30097 MiB, 2413 MiB 2022/04/15 15:25:16.810, Tesla V100-SXM2-32GB, 470.57.02, 27 %, 10 %, 32510 MiB, 30249 MiB, 2261 MiB 2022/04/15 15:25:16.812, Tesla V100-SXM2-32GB, 470.57.02, 4 %, 1 %, 32510 MiB, 30201 MiB, 2309 MiB 2022/04/15 15:25:16.813, Tesla V100-SXM2-32GB, 470.57.02, 27 %, 10 %, 32510 MiB, 30249 MiB, 2261 MiB 2022/04/15 15:25:16.813, Tesla V100-SXM2-32GB, 470.57.02, 4 %, 1 %, 32510 MiB, 30201 MiB, 2309 MiB 2022/04/15 15:25:16.814, Tesla V100-SXM2-32GB, 470.57.02, 81 %, 28 %, 32510 MiB, 29969 MiB, 2541 MiB 2022/04/15 15:25:16.816, Tesla V100-SXM2-32GB, 470.57.02, 65 %, 25 %, 32510 MiB, 30185 MiB, 2325 MiB 2022/04/15 15:25:16.817, Tesla V100-SXM2-32GB, 470.57.02, 27 %, 10 %, 32510 MiB, 30249 MiB, 2261 MiB 2022/04/15 15:25:16.817, Tesla V100-SXM2-32GB, 470.57.02, 27 %, 10 %, 32510 MiB, 30249 MiB, 2261 MiB 2022/04/15 15:25:16.818, Tesla V100-SXM2-32GB, 470.57.02, 4 %, 1 %, 32510 MiB, 30201 MiB, 2309 MiB 2022/04/15 15:25:16.820, Tesla V100-SXM2-32GB, 470.57.02, 65 %, 25 %, 32510 MiB, 30185 MiB, 2325 MiB 2022/04/15 15:25:16.821, Tesla V100-SXM2-32GB, 470.57.02, 4 %, 1 %, 32510 MiB, 30201 MiB, 2309 MiB 2022/04/15 15:25:16.821, Tesla V100-SXM2-32GB, 470.57.02, 65 %, 25 %, 32510 MiB, 30185 MiB, 2325 MiB 2022/04/15 15:25:16.822, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30097 MiB, 2413 MiB 2022/04/15 15:25:16.824, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 21 %, 32510 MiB, 30049 MiB, 2461 MiB 2022/04/15 15:25:16.825, Tesla V100-SXM2-32GB, 470.57.02, 4 %, 1 %, 32510 MiB, 30201 MiB, 2309 MiB 2022/04/15 15:25:16.825, Tesla V100-SXM2-32GB, 470.57.02, 4 %, 1 %, 32510 MiB, 30201 MiB, 2309 MiB 2022/04/15 15:25:16.826, Tesla V100-SXM2-32GB, 470.57.02, 65 %, 25 %, 32510 MiB, 30185 MiB, 2325 MiB 2022/04/15 15:25:16.828, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 21 %, 32510 MiB, 30049 MiB, 2461 MiB 2022/04/15 15:25:16.829, Tesla V100-SXM2-32GB, 470.57.02, 65 %, 25 %, 32510 MiB, 30185 MiB, 2325 MiB 2022/04/15 15:25:16.830, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 21 %, 32510 MiB, 30049 MiB, 2461 MiB 2022/04/15 15:25:16.832, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29969 MiB, 2541 MiB 2022/04/15 15:25:16.833, Tesla V100-SXM2-32GB, 470.57.02, 65 %, 25 %, 32510 MiB, 30185 MiB, 2325 MiB 2022/04/15 15:25:16.833, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30185 MiB, 2325 MiB 2022/04/15 15:25:16.834, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 21 %, 32510 MiB, 30049 MiB, 2461 MiB 2022/04/15 15:25:16.836, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29969 MiB, 2541 MiB 2022/04/15 15:25:16.837, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 21 %, 32510 MiB, 30049 MiB, 2461 MiB 2022/04/15 15:25:16.837, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29969 MiB, 2541 MiB 2022/04/15 15:25:16.840, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30097 MiB, 2413 MiB 2022/04/15 15:25:16.840, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 21 %, 32510 MiB, 30049 MiB, 2461 MiB 2022/04/15 15:25:16.841, Tesla V100-SXM2-32GB, 470.57.02, 64 %, 21 %, 32510 MiB, 30049 MiB, 2461 MiB 2022/04/15 15:25:16.841, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29969 MiB, 2541 MiB 2022/04/15 15:25:16.844, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30097 MiB, 2413 MiB 2022/04/15 15:25:16.845, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29969 MiB, 2541 MiB 2022/04/15 15:25:16.845, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30097 MiB, 2413 MiB 2022/04/15 15:25:16.848, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29969 MiB, 2541 MiB 2022/04/15 15:25:16.848, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29969 MiB, 2541 MiB 2022/04/15 15:25:16.849, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30097 MiB, 2413 MiB 2022/04/15 15:25:16.852, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30097 MiB, 2413 MiB 2022/04/15 15:25:16.855, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30097 MiB, 2413 MiB 2022/04/15 15:25:16.855, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30097 MiB, 2413 MiB [rank:0] iter: 200/1100, loss: 0.0584745630621910, latency(ms): 14.6827808767557144 | 2022-04-15 15:25:18.104 [rank:0] iter: 300/1100, loss: 0.0577742904424667, latency(ms): 11.7455821484327316 | 2022-04-15 15:25:19.279 [rank:0] iter: 400/1100, loss: 0.0574060864746571, latency(ms): 12.3306511715054512 | 2022-04-15 15:25:20.512 [rank:0] iter: 500/1100, loss: 0.0571173615753651, latency(ms): 12.1846733614802361 | 2022-04-15 15:25:21.730 [rank:0] iter: 600/1100, loss: 0.0565969944000244, latency(ms): 12.1783815324306488 | 2022-04-15 15:25:22.948 [rank:0] iter: 700/1100, loss: 0.0558346807956696, latency(ms): 12.3950068652629852 | 2022-04-15 15:25:24.188 [rank:0] iter: 800/1100, loss: 0.0557827763259411, latency(ms): 12.0068302005529404 | 2022-04-15 15:25:25.388 [rank:0] iter: 900/1100, loss: 0.0557106547057629, latency(ms): 12.0503422617912292 | 2022-04-15 15:25:26.593 [rank:0] iter: 1000/1100, loss: 0.0554832890629768, latency(ms): 11.9075793400406837 | 2022-04-15 15:25:27.784 [rank:0] iter: 1100/1100, loss: 0.0556783303618431, latency(ms): 12.2978634014725685 | 2022-04-15 15:25:29.014