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: 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 /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: 0.0618151985108852, latency(ms): 200.9344557300209999 | 2022-04-27 11:15:28.847 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] 2022/04/27 11:15:29.037, Tesla V100-SXM2-32GB, 470.57.02, 59 %, 24 %, 32510 MiB, 29709 MiB, 2801 MiB 2022/04/27 11:15:29.038, Tesla V100-SXM2-32GB, 470.57.02, 59 %, 24 %, 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] timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/27 11:15:29.041, Tesla V100-SXM2-32GB, 470.57.02, 59 %, 24 %, 32510 MiB, 29709 MiB, 2801 MiB 2022/04/27 11:15:29.042, Tesla V100-SXM2-32GB, 470.57.02, 59 %, 24 %, 32510 MiB, 29709 MiB, 2801 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/27 11:15:29.043, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29665 MiB, 2845 MiB 2022/04/27 11:15:29.044, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29665 MiB, 2845 MiB 2022/04/27 11:15:29.045, Tesla V100-SXM2-32GB, 470.57.02, 59 %, 24 %, 32510 MiB, 29709 MiB, 2801 MiB 2022/04/27 11:15:29.046, Tesla V100-SXM2-32GB, 470.57.02, 59 %, 24 %, 32510 MiB, 29709 MiB, 2801 MiB 2022/04/27 11:15:29.048, Tesla V100-SXM2-32GB, 470.57.02, 59 %, 24 %, 32510 MiB, 29709 MiB, 2801 MiB 2022/04/27 11:15:29.049, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29665 MiB, 2845 MiB 2022/04/27 11:15:29.051, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29665 MiB, 2845 MiB 2022/04/27 11:15:29.051, Tesla V100-SXM2-32GB, 470.57.02, 51 %, 21 %, 32510 MiB, 29881 MiB, 2629 MiB 2022/04/27 11:15:29.051, Tesla V100-SXM2-32GB, 470.57.02, 59 %, 24 %, 32510 MiB, 29709 MiB, 2801 MiB 2022/04/27 11:15:29.053, Tesla V100-SXM2-32GB, 470.57.02, 51 %, 21 %, 32510 MiB, 29881 MiB, 2629 MiB 2022/04/27 11:15:29.054, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29665 MiB, 2845 MiB 2022/04/27 11:15:29.056, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29665 MiB, 2845 MiB 2022/04/27 11:15:29.058, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29665 MiB, 2845 MiB 2022/04/27 11:15:29.058, Tesla V100-SXM2-32GB, 470.57.02, 51 %, 21 %, 32510 MiB, 29881 MiB, 2629 MiB 2022/04/27 11:15:29.060, Tesla V100-SXM2-32GB, 470.57.02, 51 %, 21 %, 32510 MiB, 29881 MiB, 2629 MiB 2022/04/27 11:15:29.060, Tesla V100-SXM2-32GB, 470.57.02, 39 %, 16 %, 32510 MiB, 29833 MiB, 2677 MiB 2022/04/27 11:15:29.061, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29665 MiB, 2845 MiB 2022/04/27 11:15:29.062, Tesla V100-SXM2-32GB, 470.57.02, 39 %, 16 %, 32510 MiB, 29833 MiB, 2677 MiB 2022/04/27 11:15:29.063, Tesla V100-SXM2-32GB, 470.57.02, 51 %, 21 %, 32510 MiB, 29881 MiB, 2629 MiB 2022/04/27 11:15:29.066, Tesla V100-SXM2-32GB, 470.57.02, 51 %, 21 %, 32510 MiB, 29881 MiB, 2629 MiB 2022/04/27 11:15:29.067, Tesla V100-SXM2-32GB, 470.57.02, 51 %, 21 %, 32510 MiB, 29881 MiB, 2629 MiB 2022/04/27 11:15:29.068, Tesla V100-SXM2-32GB, 470.57.02, 39 %, 16 %, 32510 MiB, 29833 MiB, 2677 MiB 2022/04/27 11:15:29.069, Tesla V100-SXM2-32GB, 470.57.02, 39 %, 16 %, 32510 MiB, 29833 MiB, 2677 MiB 2022/04/27 11:15:29.070, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 16 %, 32510 MiB, 29849 MiB, 2661 MiB 2022/04/27 11:15:29.070, Tesla V100-SXM2-32GB, 470.57.02, 51 %, 21 %, 32510 MiB, 29881 MiB, 2629 MiB 2022/04/27 11:15:29.071, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 16 %, 32510 MiB, 29849 MiB, 2661 MiB 2022/04/27 11:15:29.072, Tesla V100-SXM2-32GB, 470.57.02, 39 %, 16 %, 32510 MiB, 29833 MiB, 2677 MiB 2022/04/27 11:15:29.075, Tesla V100-SXM2-32GB, 470.57.02, 39 %, 16 %, 32510 MiB, 29833 MiB, 2677 MiB 2022/04/27 11:15:29.076, Tesla V100-SXM2-32GB, 470.57.02, 39 %, 16 %, 32510 MiB, 29833 MiB, 2677 MiB 2022/04/27 11:15:29.077, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 16 %, 32510 MiB, 29849 MiB, 2661 MiB 2022/04/27 11:15:29.078, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 16 %, 32510 MiB, 29849 MiB, 2661 MiB 2022/04/27 11:15:29.079, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29713 MiB, 2797 MiB 2022/04/27 11:15:29.079, Tesla V100-SXM2-32GB, 470.57.02, 39 %, 16 %, 32510 MiB, 29833 MiB, 2677 MiB 2022/04/27 11:15:29.080, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29713 MiB, 2797 MiB 2022/04/27 11:15:29.081, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 16 %, 32510 MiB, 29849 MiB, 2661 MiB 2022/04/27 11:15:29.084, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 16 %, 32510 MiB, 29849 MiB, 2661 MiB 2022/04/27 11:15:29.086, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 16 %, 32510 MiB, 29849 MiB, 2661 MiB 2022/04/27 11:15:29.086, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29713 MiB, 2797 MiB 2022/04/27 11:15:29.088, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29713 MiB, 2797 MiB 2022/04/27 11:15:29.088, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29489 MiB, 3021 MiB 2022/04/27 11:15:29.089, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 16 %, 32510 MiB, 29849 MiB, 2661 MiB 2022/04/27 11:15:29.090, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29489 MiB, 3021 MiB 2022/04/27 11:15:29.091, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29713 MiB, 2797 MiB 2022/04/27 11:15:29.093, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29713 MiB, 2797 MiB 2022/04/27 11:15:29.095, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29713 MiB, 2797 MiB 2022/04/27 11:15:29.095, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29489 MiB, 3021 MiB 2022/04/27 11:15:29.097, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29489 MiB, 3021 MiB 2022/04/27 11:15:29.098, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29697 MiB, 2813 MiB 2022/04/27 11:15:29.098, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29713 MiB, 2797 MiB 2022/04/27 11:15:29.099, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29697 MiB, 2813 MiB 2022/04/27 11:15:29.100, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29489 MiB, 3021 MiB 2022/04/27 11:15:29.103, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29489 MiB, 3021 MiB 2022/04/27 11:15:29.104, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29489 MiB, 3021 MiB 2022/04/27 11:15:29.105, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29697 MiB, 2813 MiB 2022/04/27 11:15:29.106, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29697 MiB, 2813 MiB 2022/04/27 11:15:29.108, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29489 MiB, 3021 MiB 2022/04/27 11:15:29.110, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29697 MiB, 2813 MiB 2022/04/27 11:15:29.112, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29697 MiB, 2813 MiB 2022/04/27 11:15:29.114, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29697 MiB, 2813 MiB 2022/04/27 11:15:29.117, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 29697 MiB, 2813 MiB [rank:0] iter: 200/1100, loss: 0.0580955781042576, latency(ms): 24.6538693830370903 | 2022-04-27 11:15:31.313 [rank:0] iter: 300/1100, loss: 0.0572669990360737, latency(ms): 22.2275062650442123 | 2022-04-27 11:15:33.535 [rank:0] iter: 400/1100, loss: 0.0562441051006317, latency(ms): 22.2114471718668938 | 2022-04-27 11:15:35.756 [rank:0] iter: 500/1100, loss: 0.0559552460908890, latency(ms): 22.1250591799616814 | 2022-04-27 11:15:37.969 [rank:0] iter: 600/1100, loss: 0.0555244795978069, latency(ms): 22.4056087061762810 | 2022-04-27 11:15:40.209 [rank:0] iter: 700/1100, loss: 0.0546423085033894, latency(ms): 22.0836224034428596 | 2022-04-27 11:15:42.418 [rank:0] iter: 800/1100, loss: 0.0547062680125237, latency(ms): 21.8372269347310066 | 2022-04-27 11:15:44.602 [rank:0] iter: 900/1100, loss: 0.0536893792450428, latency(ms): 21.6748256236314774 | 2022-04-27 11:15:46.769 [rank:0] iter: 1000/1100, loss: 0.0533177852630615, latency(ms): 21.7510035634040833 | 2022-04-27 11:15:48.944 [rank:0] iter: 1100/1100, loss: 0.0533947721123695, latency(ms): 22.0711787790060043 | 2022-04-27 11:15:51.151