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 ...................................... 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: 0.0667077600955963, latency(ms): 173.3336035534739494 | 2022-05-09 22:59:20.076 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] 2022/05/09 22:59:20.242, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 2 %, 32510 MiB, 30427 MiB, 2083 MiB 2022/05/09 22:59:20.245, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 2 %, 32510 MiB, 30427 MiB, 2083 MiB 2022/05/09 22:59:20.249, Tesla V100-SXM2-32GB, 470.57.02, 5 %, 0 %, 32510 MiB, 30447 MiB, 2063 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/09 22:59:20.248, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 2 %, 32510 MiB, 30427 MiB, 2083 MiB 2022/05/09 22:59:20.251, Tesla V100-SXM2-32GB, 470.57.02, 5 %, 0 %, 32510 MiB, 30447 MiB, 2063 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/09 22:59:20.254, Tesla V100-SXM2-32GB, 470.57.02, 56 %, 4 %, 32510 MiB, 30599 MiB, 1911 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/09 22:59:20.255, Tesla V100-SXM2-32GB, 470.57.02, 5 %, 0 %, 32510 MiB, 30447 MiB, 2063 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/09 22:59:20.255, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 2 %, 32510 MiB, 30427 MiB, 2083 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/05/09 22:59:20.256, Tesla V100-SXM2-32GB, 470.57.02, 56 %, 4 %, 32510 MiB, 30599 MiB, 1911 MiB 2022/05/09 22:59:20.258, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 2 %, 32510 MiB, 30427 MiB, 2083 MiB 2022/05/09 22:59:20.260, Tesla V100-SXM2-32GB, 470.57.02, 40 %, 2 %, 32510 MiB, 30551 MiB, 1959 MiB 2022/05/09 22:59:20.261, Tesla V100-SXM2-32GB, 470.57.02, 56 %, 4 %, 32510 MiB, 30599 MiB, 1911 MiB 2022/05/09 22:59:20.260, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 2 %, 32510 MiB, 30427 MiB, 2083 MiB 2022/05/09 22:59:20.261, Tesla V100-SXM2-32GB, 470.57.02, 5 %, 0 %, 32510 MiB, 30447 MiB, 2063 MiB 2022/05/09 22:59:20.261, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 2 %, 32510 MiB, 30427 MiB, 2083 MiB 2022/05/09 22:59:20.261, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 2 %, 32510 MiB, 30427 MiB, 2083 MiB 2022/05/09 22:59:20.263, Tesla V100-SXM2-32GB, 470.57.02, 40 %, 2 %, 32510 MiB, 30551 MiB, 1959 MiB 2022/05/09 22:59:20.266, Tesla V100-SXM2-32GB, 470.57.02, 5 %, 0 %, 32510 MiB, 30447 MiB, 2063 MiB 2022/05/09 22:59:20.268, Tesla V100-SXM2-32GB, 470.57.02, 35 %, 2 %, 32510 MiB, 30567 MiB, 1943 MiB 2022/05/09 22:59:20.269, Tesla V100-SXM2-32GB, 470.57.02, 40 %, 2 %, 32510 MiB, 30551 MiB, 1959 MiB 2022/05/09 22:59:20.269, Tesla V100-SXM2-32GB, 470.57.02, 5 %, 0 %, 32510 MiB, 30447 MiB, 2063 MiB 2022/05/09 22:59:20.269, Tesla V100-SXM2-32GB, 470.57.02, 56 %, 4 %, 32510 MiB, 30599 MiB, 1911 MiB 2022/05/09 22:59:20.270, Tesla V100-SXM2-32GB, 470.57.02, 5 %, 0 %, 32510 MiB, 30447 MiB, 2063 MiB 2022/05/09 22:59:20.270, Tesla V100-SXM2-32GB, 470.57.02, 5 %, 0 %, 32510 MiB, 30447 MiB, 2063 MiB 2022/05/09 22:59:20.271, Tesla V100-SXM2-32GB, 470.57.02, 35 %, 2 %, 32510 MiB, 30567 MiB, 1943 MiB 2022/05/09 22:59:20.275, Tesla V100-SXM2-32GB, 470.57.02, 56 %, 4 %, 32510 MiB, 30599 MiB, 1911 MiB 2022/05/09 22:59:20.277, Tesla V100-SXM2-32GB, 470.57.02, 14 %, 1 %, 32510 MiB, 30431 MiB, 2079 MiB 2022/05/09 22:59:20.277, Tesla V100-SXM2-32GB, 470.57.02, 35 %, 2 %, 32510 MiB, 30567 MiB, 1943 MiB 2022/05/09 22:59:20.278, Tesla V100-SXM2-32GB, 470.57.02, 56 %, 4 %, 32510 MiB, 30599 MiB, 1911 MiB 2022/05/09 22:59:20.278, Tesla V100-SXM2-32GB, 470.57.02, 40 %, 2 %, 32510 MiB, 30551 MiB, 1959 MiB 2022/05/09 22:59:20.279, Tesla V100-SXM2-32GB, 470.57.02, 56 %, 4 %, 32510 MiB, 30599 MiB, 1911 MiB 2022/05/09 22:59:20.279, Tesla V100-SXM2-32GB, 470.57.02, 56 %, 4 %, 32510 MiB, 30599 MiB, 1911 MiB 2022/05/09 22:59:20.280, Tesla V100-SXM2-32GB, 470.57.02, 14 %, 1 %, 32510 MiB, 30431 MiB, 2079 MiB 2022/05/09 22:59:20.283, Tesla V100-SXM2-32GB, 470.57.02, 40 %, 2 %, 32510 MiB, 30551 MiB, 1959 MiB 2022/05/09 22:59:20.285, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30319 MiB, 2191 MiB 2022/05/09 22:59:20.286, Tesla V100-SXM2-32GB, 470.57.02, 14 %, 1 %, 32510 MiB, 30431 MiB, 2079 MiB 2022/05/09 22:59:20.286, Tesla V100-SXM2-32GB, 470.57.02, 40 %, 2 %, 32510 MiB, 30551 MiB, 1959 MiB 2022/05/09 22:59:20.287, Tesla V100-SXM2-32GB, 470.57.02, 35 %, 2 %, 32510 MiB, 30567 MiB, 1943 MiB 2022/05/09 22:59:20.287, Tesla V100-SXM2-32GB, 470.57.02, 40 %, 2 %, 32510 MiB, 30551 MiB, 1959 MiB 2022/05/09 22:59:20.288, Tesla V100-SXM2-32GB, 470.57.02, 40 %, 2 %, 32510 MiB, 30551 MiB, 1959 MiB 2022/05/09 22:59:20.289, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30319 MiB, 2191 MiB 2022/05/09 22:59:20.292, Tesla V100-SXM2-32GB, 470.57.02, 35 %, 2 %, 32510 MiB, 30567 MiB, 1943 MiB 2022/05/09 22:59:20.294, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB 2022/05/09 22:59:20.295, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30319 MiB, 2191 MiB 2022/05/09 22:59:20.295, Tesla V100-SXM2-32GB, 470.57.02, 35 %, 2 %, 32510 MiB, 30567 MiB, 1943 MiB 2022/05/09 22:59:20.295, Tesla V100-SXM2-32GB, 470.57.02, 14 %, 1 %, 32510 MiB, 30431 MiB, 2079 MiB 2022/05/09 22:59:20.296, Tesla V100-SXM2-32GB, 470.57.02, 35 %, 2 %, 32510 MiB, 30567 MiB, 1943 MiB 2022/05/09 22:59:20.296, Tesla V100-SXM2-32GB, 470.57.02, 35 %, 2 %, 32510 MiB, 30567 MiB, 1943 MiB 2022/05/09 22:59:20.297, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB 2022/05/09 22:59:20.300, Tesla V100-SXM2-32GB, 470.57.02, 14 %, 1 %, 32510 MiB, 30431 MiB, 2079 MiB 2022/05/09 22:59:20.303, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB 2022/05/09 22:59:20.303, Tesla V100-SXM2-32GB, 470.57.02, 14 %, 1 %, 32510 MiB, 30431 MiB, 2079 MiB 2022/05/09 22:59:20.304, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30319 MiB, 2191 MiB 2022/05/09 22:59:20.304, Tesla V100-SXM2-32GB, 470.57.02, 14 %, 1 %, 32510 MiB, 30431 MiB, 2079 MiB 2022/05/09 22:59:20.305, Tesla V100-SXM2-32GB, 470.57.02, 14 %, 1 %, 32510 MiB, 30431 MiB, 2079 MiB 2022/05/09 22:59:20.309, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30319 MiB, 2191 MiB 2022/05/09 22:59:20.312, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30319 MiB, 2191 MiB 2022/05/09 22:59:20.312, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB 2022/05/09 22:59:20.312, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30319 MiB, 2191 MiB 2022/05/09 22:59:20.313, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30319 MiB, 2191 MiB 2022/05/09 22:59:20.317, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB 2022/05/09 22:59:20.319, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB 2022/05/09 22:59:20.320, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB 2022/05/09 22:59:20.320, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB [rank:0] iter: 200/1100, loss: 0.0609875097870827, latency(ms): 5.6109160557389259 | 2022-05-09 22:59:20.637 [rank:0] iter: 300/1100, loss: 0.0618472471833229, latency(ms): 2.7746447175741196 | 2022-05-09 22:59:20.914 [rank:0] iter: 400/1100, loss: 0.0621142052114010, latency(ms): 3.2646292820572853 | 2022-05-09 22:59:21.241 [rank:0] iter: 500/1100, loss: 0.0618930496275425, latency(ms): 2.8475441411137581 | 2022-05-09 22:59:21.525 [rank:0] iter: 600/1100, loss: 0.0606654919683933, latency(ms): 2.8751631826162338 | 2022-05-09 22:59:21.813 [rank:0] iter: 700/1100, loss: 0.0591334588825703, latency(ms): 2.9319280385971069 | 2022-05-09 22:59:22.106 [rank:0] iter: 800/1100, loss: 0.0599783211946487, latency(ms): 3.0891286209225655 | 2022-05-09 22:59:22.415 [rank:0] iter: 900/1100, loss: 0.0609231032431126, latency(ms): 3.1561664491891861 | 2022-05-09 22:59:22.731 [rank:0] iter: 1000/1100, loss: 0.0602371022105217, latency(ms): 2.7709838375449181 | 2022-05-09 22:59:23.008 [rank:0] iter: 1100/1100, loss: 0.0605570897459984, latency(ms): 3.2060584798455238 | 2022-05-09 22:59:23.328