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: 0.0666651427745819, latency(ms): 173.9605110883712769 | 2022-04-27 11:14:09.142 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 11:14:09.346, Tesla V100-SXM2-32GB, 470.57.02, 31 %, 2 %, 32510 MiB, 30427 MiB, 2083 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/27 11:14:09.349, Tesla V100-SXM2-32GB, 470.57.02, 31 %, 2 %, 32510 MiB, 30427 MiB, 2083 MiB 2022/04/27 11:14:09.352, Tesla V100-SXM2-32GB, 470.57.02, 31 %, 2 %, 32510 MiB, 30427 MiB, 2083 MiB 2022/04/27 11:14:09.356, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 3 %, 32510 MiB, 30447 MiB, 2063 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 11:14:09.359, Tesla V100-SXM2-32GB, 470.57.02, 31 %, 2 %, 32510 MiB, 30427 MiB, 2083 MiB 2022/04/27 11:14:09.360, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 3 %, 32510 MiB, 30447 MiB, 2063 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/27 11:14:09.363, Tesla V100-SXM2-32GB, 470.57.02, 37 %, 3 %, 32510 MiB, 30447 MiB, 2063 MiB timestamp, name, driver_version, utilization.gpu [%], utilization.memory [%], memory.total [MiB], memory.free [MiB], memory.used [MiB] 2022/04/27 11:14:09.366, Tesla V100-SXM2-32GB, 470.57.02, 35 %, 3 %, 32510 MiB, 30599 MiB, 1911 MiB 2022/04/27 11:14:09.368, Tesla V100-SXM2-32GB, 470.57.02, 31 %, 2 %, 32510 MiB, 30427 MiB, 2083 MiB 2022/04/27 11:14:09.369, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30447 MiB, 2063 MiB 2022/04/27 11:14:09.370, Tesla V100-SXM2-32GB, 470.57.02, 35 %, 3 %, 32510 MiB, 30599 MiB, 1911 MiB 2022/04/27 11:14:09.369, Tesla V100-SXM2-32GB, 470.57.02, 31 %, 2 %, 32510 MiB, 30427 MiB, 2083 MiB 2022/04/27 11:14:09.371, Tesla V100-SXM2-32GB, 470.57.02, 31 %, 2 %, 32510 MiB, 30427 MiB, 2083 MiB 2022/04/27 11:14:09.372, Tesla V100-SXM2-32GB, 470.57.02, 35 %, 3 %, 32510 MiB, 30599 MiB, 1911 MiB 2022/04/27 11:14:09.374, Tesla V100-SXM2-32GB, 470.57.02, 31 %, 2 %, 32510 MiB, 30427 MiB, 2083 MiB 2022/04/27 11:14:09.376, Tesla V100-SXM2-32GB, 470.57.02, 6 %, 0 %, 32510 MiB, 30551 MiB, 1959 MiB 2022/04/27 11:14:09.380, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30447 MiB, 2063 MiB 2022/04/27 11:14:09.380, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30599 MiB, 1911 MiB 2022/04/27 11:14:09.381, Tesla V100-SXM2-32GB, 470.57.02, 6 %, 0 %, 32510 MiB, 30551 MiB, 1959 MiB 2022/04/27 11:14:09.382, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30447 MiB, 2063 MiB 2022/04/27 11:14:09.384, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30447 MiB, 2063 MiB 2022/04/27 11:14:09.385, Tesla V100-SXM2-32GB, 470.57.02, 6 %, 0 %, 32510 MiB, 30551 MiB, 1959 MiB 2022/04/27 11:14:09.387, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30447 MiB, 2063 MiB 2022/04/27 11:14:09.388, Tesla V100-SXM2-32GB, 470.57.02, 11 %, 1 %, 32510 MiB, 30567 MiB, 1943 MiB 2022/04/27 11:14:09.393, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30599 MiB, 1911 MiB 2022/04/27 11:14:09.393, Tesla V100-SXM2-32GB, 470.57.02, 6 %, 0 %, 32510 MiB, 30551 MiB, 1959 MiB 2022/04/27 11:14:09.393, Tesla V100-SXM2-32GB, 470.57.02, 11 %, 1 %, 32510 MiB, 30567 MiB, 1943 MiB 2022/04/27 11:14:09.394, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30599 MiB, 1911 MiB 2022/04/27 11:14:09.398, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30599 MiB, 1911 MiB 2022/04/27 11:14:09.398, Tesla V100-SXM2-32GB, 470.57.02, 11 %, 1 %, 32510 MiB, 30567 MiB, 1943 MiB 2022/04/27 11:14:09.400, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30599 MiB, 1911 MiB 2022/04/27 11:14:09.401, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30431 MiB, 2079 MiB 2022/04/27 11:14:09.407, Tesla V100-SXM2-32GB, 470.57.02, 6 %, 0 %, 32510 MiB, 30551 MiB, 1959 MiB 2022/04/27 11:14:09.407, Tesla V100-SXM2-32GB, 470.57.02, 11 %, 1 %, 32510 MiB, 30567 MiB, 1943 MiB 2022/04/27 11:14:09.407, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30431 MiB, 2079 MiB 2022/04/27 11:14:09.408, Tesla V100-SXM2-32GB, 470.57.02, 6 %, 0 %, 32510 MiB, 30551 MiB, 1959 MiB 2022/04/27 11:14:09.411, Tesla V100-SXM2-32GB, 470.57.02, 6 %, 0 %, 32510 MiB, 30551 MiB, 1959 MiB 2022/04/27 11:14:09.411, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30431 MiB, 2079 MiB 2022/04/27 11:14:09.413, Tesla V100-SXM2-32GB, 470.57.02, 6 %, 0 %, 32510 MiB, 30551 MiB, 1959 MiB 2022/04/27 11:14:09.414, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30319 MiB, 2191 MiB 2022/04/27 11:14:09.419, Tesla V100-SXM2-32GB, 470.57.02, 11 %, 1 %, 32510 MiB, 30567 MiB, 1943 MiB 2022/04/27 11:14:09.419, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30431 MiB, 2079 MiB 2022/04/27 11:14:09.420, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30319 MiB, 2191 MiB 2022/04/27 11:14:09.421, Tesla V100-SXM2-32GB, 470.57.02, 11 %, 1 %, 32510 MiB, 30567 MiB, 1943 MiB 2022/04/27 11:14:09.423, Tesla V100-SXM2-32GB, 470.57.02, 11 %, 1 %, 32510 MiB, 30567 MiB, 1943 MiB 2022/04/27 11:14:09.423, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30319 MiB, 2191 MiB 2022/04/27 11:14:09.426, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30567 MiB, 1943 MiB 2022/04/27 11:14:09.427, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB 2022/04/27 11:14:09.432, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30431 MiB, 2079 MiB 2022/04/27 11:14:09.432, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30319 MiB, 2191 MiB 2022/04/27 11:14:09.432, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB 2022/04/27 11:14:09.434, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30431 MiB, 2079 MiB 2022/04/27 11:14:09.437, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30431 MiB, 2079 MiB 2022/04/27 11:14:09.437, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB 2022/04/27 11:14:09.439, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30431 MiB, 2079 MiB 2022/04/27 11:14:09.447, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30319 MiB, 2191 MiB 2022/04/27 11:14:09.447, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB 2022/04/27 11:14:09.448, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30319 MiB, 2191 MiB 2022/04/27 11:14:09.451, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30319 MiB, 2191 MiB 2022/04/27 11:14:09.454, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30319 MiB, 2191 MiB 2022/04/27 11:14:09.459, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB 2022/04/27 11:14:09.461, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB 2022/04/27 11:14:09.463, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB 2022/04/27 11:14:09.465, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30479 MiB, 2031 MiB [rank:0] iter: 200/1100, loss: 0.0610107220709324, latency(ms): 6.9437016174197197 | 2022-04-27 11:14:09.836 [rank:0] iter: 300/1100, loss: 0.0615950599312782, latency(ms): 3.0418009683489799 | 2022-04-27 11:14:10.141 [rank:0] iter: 400/1100, loss: 0.0619775019586086, latency(ms): 3.3164201304316521 | 2022-04-27 11:14:10.472 [rank:0] iter: 500/1100, loss: 0.0617593005299568, latency(ms): 3.5080828517675400 | 2022-04-27 11:14:10.823 [rank:0] iter: 600/1100, loss: 0.0611520856618881, latency(ms): 3.7219867482781410 | 2022-04-27 11:14:11.195 [rank:0] iter: 700/1100, loss: 0.0588509887456894, latency(ms): 3.6263789236545563 | 2022-04-27 11:14:11.558 [rank:0] iter: 800/1100, loss: 0.0602558963000774, latency(ms): 3.2766278088092804 | 2022-04-27 11:14:11.886 [rank:0] iter: 900/1100, loss: 0.0607705228030682, latency(ms): 3.0139127746224403 | 2022-04-27 11:14:12.187 [rank:0] iter: 1000/1100, loss: 0.0601766109466553, latency(ms): 3.2194145023822784 | 2022-04-27 11:14:12.509 [rank:0] iter: 1100/1100, loss: 0.0604302212595940, latency(ms): 3.5331391170620918 | 2022-04-27 11:14:12.862