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: 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/usr/lib/x86_64-linux-gnu/libibverbs.so.1 loaded library: /usr/lib/x86_64-linux-gnu/libibverbs.so.1 ------------------------ arguments ------------------------ batch_size ...................................... 512 batch_size_per_proc ............................. 64 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: 0.0667762532830238, latency(ms): 177.8530346229672432 | 2022-05-13 10:58:42.544 timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/13 10:58:42.732, Tesla V100-SXM2-32GB, 470.57.02, 43 %, 4 %, 32510 MiB, 30427 MiB, 2083 MiB 2022/05/13 10:58:42.740, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30447 MiB, 2063 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/13 10:58:42.748, Tesla V100-SXM2-32GB, 470.57.02, 11 %, 1 %, 32510 MiB, 30599 MiB, 1911 MiB 2022/05/13 10:58:42.750, Tesla V100-SXM2-32GB, 470.57.02, 43 %, 4 %, 32510 MiB, 30427 MiB, 2083 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] 2022/05/13 10:58:42.756, Tesla V100-SXM2-32GB, 470.57.02, 52 %, 4 %, 32510 MiB, 30551 MiB, 1959 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/13 10:58:42.759, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30447 MiB, 2063 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/13 10:58:42.761, Tesla V100-SXM2-32GB, 470.57.02, 43 %, 4 %, 32510 MiB, 30427 MiB, 2083 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/13 10:58:42.762, Tesla V100-SXM2-32GB, 470.57.02, 43 %, 4 %, 32510 MiB, 30427 MiB, 2083 MiB 2022/05/13 10:58:42.763, Tesla V100-SXM2-32GB, 470.57.02, 45 %, 4 %, 32510 MiB, 30567 MiB, 1943 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/13 10:58:42.764, Tesla V100-SXM2-32GB, 470.57.02, 43 %, 4 %, 32510 MiB, 30427 MiB, 2083 MiB 2022/05/13 10:58:42.766, Tesla V100-SXM2-32GB, 470.57.02, 11 %, 1 %, 32510 MiB, 30599 MiB, 1911 MiB 2022/05/13 10:58:42.767, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30427 MiB, 2083 MiB 2022/05/13 10:58:42.769, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30447 MiB, 2063 MiB 2022/05/13 10:58:42.770, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30447 MiB, 2063 MiB 2022/05/13 10:58:42.769, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30427 MiB, 2083 MiB 2022/05/13 10:58:42.771, Tesla V100-SXM2-32GB, 470.57.02, 19 %, 1 %, 32510 MiB, 30431 MiB, 2079 MiB 2022/05/13 10:58:42.773, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30447 MiB, 2063 MiB 2022/05/13 10:58:42.773, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30427 MiB, 2083 MiB 2022/05/13 10:58:42.774, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30551 MiB, 1959 MiB 2022/05/13 10:58:42.777, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30447 MiB, 2063 MiB 2022/05/13 10:58:42.778, Tesla V100-SXM2-32GB, 470.57.02, 11 %, 1 %, 32510 MiB, 30599 MiB, 1911 MiB 2022/05/13 10:58:42.780, Tesla V100-SXM2-32GB, 470.57.02, 11 %, 1 %, 32510 MiB, 30599 MiB, 1911 MiB 2022/05/13 10:58:42.780, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30447 MiB, 2063 MiB 2022/05/13 10:58:42.781, Tesla V100-SXM2-32GB, 470.57.02, 19 %, 1 %, 32510 MiB, 30319 MiB, 2191 MiB 2022/05/13 10:58:42.783, Tesla V100-SXM2-32GB, 470.57.02, 11 %, 1 %, 32510 MiB, 30599 MiB, 1911 MiB 2022/05/13 10:58:42.784, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30447 MiB, 2063 MiB 2022/05/13 10:58:42.785, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30567 MiB, 1943 MiB 2022/05/13 10:58:42.787, Tesla V100-SXM2-32GB, 470.57.02, 11 %, 1 %, 32510 MiB, 30599 MiB, 1911 MiB 2022/05/13 10:58:42.789, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30551 MiB, 1959 MiB 2022/05/13 10:58:42.790, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30551 MiB, 1959 MiB 2022/05/13 10:58:42.790, Tesla V100-SXM2-32GB, 470.57.02, 11 %, 1 %, 32510 MiB, 30599 MiB, 1911 MiB 2022/05/13 10:58:42.791, Tesla V100-SXM2-32GB, 470.57.02, 8 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB 2022/05/13 10:58:42.794, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30551 MiB, 1959 MiB 2022/05/13 10:58:42.795, Tesla V100-SXM2-32GB, 470.57.02, 11 %, 1 %, 32510 MiB, 30599 MiB, 1911 MiB 2022/05/13 10:58:42.795, Tesla V100-SXM2-32GB, 470.57.02, 19 %, 1 %, 32510 MiB, 30431 MiB, 2079 MiB 2022/05/13 10:58:42.798, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30551 MiB, 1959 MiB 2022/05/13 10:58:42.799, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30567 MiB, 1943 MiB 2022/05/13 10:58:42.801, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30567 MiB, 1943 MiB 2022/05/13 10:58:42.801, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30551 MiB, 1959 MiB 2022/05/13 10:58:42.805, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30567 MiB, 1943 MiB 2022/05/13 10:58:42.805, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30551 MiB, 1959 MiB 2022/05/13 10:58:42.806, Tesla V100-SXM2-32GB, 470.57.02, 19 %, 1 %, 32510 MiB, 30319 MiB, 2191 MiB 2022/05/13 10:58:42.809, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30567 MiB, 1943 MiB 2022/05/13 10:58:42.810, Tesla V100-SXM2-32GB, 470.57.02, 19 %, 1 %, 32510 MiB, 30431 MiB, 2079 MiB 2022/05/13 10:58:42.811, Tesla V100-SXM2-32GB, 470.57.02, 19 %, 1 %, 32510 MiB, 30431 MiB, 2079 MiB 2022/05/13 10:58:42.812, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30567 MiB, 1943 MiB 2022/05/13 10:58:42.815, Tesla V100-SXM2-32GB, 470.57.02, 19 %, 1 %, 32510 MiB, 30431 MiB, 2079 MiB 2022/05/13 10:58:42.816, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30567 MiB, 1943 MiB 2022/05/13 10:58:42.817, Tesla V100-SXM2-32GB, 470.57.02, 8 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB 2022/05/13 10:58:42.819, Tesla V100-SXM2-32GB, 470.57.02, 19 %, 1 %, 32510 MiB, 30431 MiB, 2079 MiB 2022/05/13 10:58:42.821, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30319 MiB, 2191 MiB 2022/05/13 10:58:42.822, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30319 MiB, 2191 MiB 2022/05/13 10:58:42.822, Tesla V100-SXM2-32GB, 470.57.02, 19 %, 1 %, 32510 MiB, 30431 MiB, 2079 MiB 2022/05/13 10:58:42.825, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30319 MiB, 2191 MiB 2022/05/13 10:58:42.826, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30431 MiB, 2079 MiB 2022/05/13 10:58:42.830, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30319 MiB, 2191 MiB 2022/05/13 10:58:42.831, Tesla V100-SXM2-32GB, 470.57.02, 8 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB 2022/05/13 10:58:42.833, Tesla V100-SXM2-32GB, 470.57.02, 8 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB 2022/05/13 10:58:42.833, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30319 MiB, 2191 MiB 2022/05/13 10:58:42.836, Tesla V100-SXM2-32GB, 470.57.02, 8 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB 2022/05/13 10:58:42.837, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30319 MiB, 2191 MiB 2022/05/13 10:58:42.840, Tesla V100-SXM2-32GB, 470.57.02, 8 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB 2022/05/13 10:58:42.848, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB 2022/05/13 10:58:42.852, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB [rank:0] iter: 200/1100, loss: 0.0607509054243565, latency(ms): 6.7034090682864189 | 2022-05-13 10:58:43.214 [rank:0] iter: 300/1100, loss: 0.0617293603718281, latency(ms): 3.1364894658327103 | 2022-05-13 10:58:43.528 [rank:0] iter: 400/1100, loss: 0.0617170780897141, latency(ms): 3.1658902391791344 | 2022-05-13 10:58:43.844 [rank:0] iter: 500/1100, loss: 0.0621511749923229, latency(ms): 2.9178933054208755 | 2022-05-13 10:58:44.136 [rank:0] iter: 600/1100, loss: 0.0612865388393402, latency(ms): 3.1591184437274933 | 2022-05-13 10:58:44.452 [rank:0] iter: 700/1100, loss: 0.0589070208370686, latency(ms): 2.5643940642476082 | 2022-05-13 10:58:44.708 [rank:0] iter: 800/1100, loss: 0.0606438778340816, latency(ms): 2.6036324724555016 | 2022-05-13 10:58:44.969 [rank:0] iter: 900/1100, loss: 0.0604551509022713, latency(ms): 3.0105694755911827 | 2022-05-13 10:58:45.270 [rank:0] iter: 1000/1100, loss: 0.0603435672819614, latency(ms): 2.9067315533757210 | 2022-05-13 10:58:45.560 [rank:0] iter: 1100/1100, loss: 0.0596935227513313, latency(ms): 2.8232062235474586 | 2022-05-13 10:58:45.843