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: /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: loaded library: /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 W20220413 02:04:24.681386 401 rpc_client.cpp:190] LoadServer 10.7.0.64 Failed at 0 times error_code 14 error_message failed to connect to all addresses ------------------------ 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: 0.0665272697806358, latency(ms): 197.0847886428236961 | 2022-04-13 02:04:56.150 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] 2022/04/13 02:04:56.317, Tesla V100-SXM2-32GB, 470.57.02, 25 %, 3 %, 32510 MiB, 30531 MiB, 1979 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] 2022/04/13 02:04:56.321, Tesla V100-SXM2-32GB, 470.57.02, 25 %, 3 %, 32510 MiB, 30531 MiB, 1979 MiB 2022/04/13 02:04:56.325, Tesla V100-SXM2-32GB, 470.57.02, 47 %, 4 %, 32510 MiB, 30531 MiB, 1979 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] 2022/04/13 02:04:56.326, Tesla V100-SXM2-32GB, 470.57.02, 25 %, 3 %, 32510 MiB, 30531 MiB, 1979 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] 2022/04/13 02:04:56.328, Tesla V100-SXM2-32GB, 470.57.02, 25 %, 3 %, 32510 MiB, 30531 MiB, 1979 MiB 2022/04/13 02:04:56.329, Tesla V100-SXM2-32GB, 470.57.02, 47 %, 4 %, 32510 MiB, 30531 MiB, 1979 MiB 2022/04/13 02:04:56.331, Tesla V100-SXM2-32GB, 470.57.02, 30 %, 3 %, 32510 MiB, 30705 MiB, 1805 MiB 2022/04/13 02:04:56.332, Tesla V100-SXM2-32GB, 470.57.02, 25 %, 3 %, 32510 MiB, 30531 MiB, 1979 MiB 2022/04/13 02:04:56.334, Tesla V100-SXM2-32GB, 470.57.02, 47 %, 4 %, 32510 MiB, 30531 MiB, 1979 MiB 2022/04/13 02:04:56.333, Tesla V100-SXM2-32GB, 470.57.02, 25 %, 3 %, 32510 MiB, 30531 MiB, 1979 MiB 2022/04/13 02:04:56.334, Tesla V100-SXM2-32GB, 470.57.02, 25 %, 3 %, 32510 MiB, 30531 MiB, 1979 MiB 2022/04/13 02:04:56.336, Tesla V100-SXM2-32GB, 470.57.02, 47 %, 4 %, 32510 MiB, 30531 MiB, 1979 MiB 2022/04/13 02:04:56.335, Tesla V100-SXM2-32GB, 470.57.02, 25 %, 3 %, 32510 MiB, 30531 MiB, 1979 MiB 2022/04/13 02:04:56.337, Tesla V100-SXM2-32GB, 470.57.02, 30 %, 3 %, 32510 MiB, 30705 MiB, 1805 MiB 2022/04/13 02:04:56.340, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 3 %, 32510 MiB, 30665 MiB, 1845 MiB 2022/04/13 02:04:56.343, Tesla V100-SXM2-32GB, 470.57.02, 47 %, 4 %, 32510 MiB, 30531 MiB, 1979 MiB 2022/04/13 02:04:56.343, Tesla V100-SXM2-32GB, 470.57.02, 30 %, 3 %, 32510 MiB, 30705 MiB, 1805 MiB 2022/04/13 02:04:56.344, Tesla V100-SXM2-32GB, 470.57.02, 47 %, 4 %, 32510 MiB, 30531 MiB, 1979 MiB 2022/04/13 02:04:56.345, Tesla V100-SXM2-32GB, 470.57.02, 47 %, 4 %, 32510 MiB, 30531 MiB, 1979 MiB 2022/04/13 02:04:56.346, Tesla V100-SXM2-32GB, 470.57.02, 30 %, 3 %, 32510 MiB, 30705 MiB, 1805 MiB 2022/04/13 02:04:56.347, Tesla V100-SXM2-32GB, 470.57.02, 47 %, 4 %, 32510 MiB, 30531 MiB, 1979 MiB 2022/04/13 02:04:56.347, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 3 %, 32510 MiB, 30665 MiB, 1845 MiB 2022/04/13 02:04:56.350, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30665 MiB, 1845 MiB 2022/04/13 02:04:56.353, Tesla V100-SXM2-32GB, 470.57.02, 30 %, 3 %, 32510 MiB, 30705 MiB, 1805 MiB 2022/04/13 02:04:56.354, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 3 %, 32510 MiB, 30665 MiB, 1845 MiB 2022/04/13 02:04:56.354, Tesla V100-SXM2-32GB, 470.57.02, 30 %, 3 %, 32510 MiB, 30705 MiB, 1805 MiB 2022/04/13 02:04:56.356, Tesla V100-SXM2-32GB, 470.57.02, 30 %, 3 %, 32510 MiB, 30705 MiB, 1805 MiB 2022/04/13 02:04:56.357, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 3 %, 32510 MiB, 30665 MiB, 1845 MiB 2022/04/13 02:04:56.357, Tesla V100-SXM2-32GB, 470.57.02, 30 %, 3 %, 32510 MiB, 30705 MiB, 1805 MiB 2022/04/13 02:04:56.358, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30665 MiB, 1845 MiB 2022/04/13 02:04:56.361, Tesla V100-SXM2-32GB, 470.57.02, 55 %, 4 %, 32510 MiB, 30539 MiB, 1971 MiB 2022/04/13 02:04:56.364, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 3 %, 32510 MiB, 30665 MiB, 1845 MiB 2022/04/13 02:04:56.364, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30665 MiB, 1845 MiB 2022/04/13 02:04:56.365, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 3 %, 32510 MiB, 30665 MiB, 1845 MiB 2022/04/13 02:04:56.366, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 3 %, 32510 MiB, 30665 MiB, 1845 MiB 2022/04/13 02:04:56.367, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30665 MiB, 1845 MiB 2022/04/13 02:04:56.368, Tesla V100-SXM2-32GB, 470.57.02, 36 %, 3 %, 32510 MiB, 30665 MiB, 1845 MiB 2022/04/13 02:04:56.368, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30539 MiB, 1971 MiB 2022/04/13 02:04:56.372, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30411 MiB, 2099 MiB 2022/04/13 02:04:56.375, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30665 MiB, 1845 MiB 2022/04/13 02:04:56.375, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30539 MiB, 1971 MiB 2022/04/13 02:04:56.376, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30665 MiB, 1845 MiB 2022/04/13 02:04:56.377, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30665 MiB, 1845 MiB 2022/04/13 02:04:56.378, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30539 MiB, 1971 MiB 2022/04/13 02:04:56.379, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30665 MiB, 1845 MiB 2022/04/13 02:04:56.379, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30411 MiB, 2099 MiB 2022/04/13 02:04:56.382, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30585 MiB, 1925 MiB 2022/04/13 02:04:56.386, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30539 MiB, 1971 MiB 2022/04/13 02:04:56.386, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30411 MiB, 2099 MiB 2022/04/13 02:04:56.387, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30539 MiB, 1971 MiB 2022/04/13 02:04:56.388, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30539 MiB, 1971 MiB 2022/04/13 02:04:56.389, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30411 MiB, 2099 MiB 2022/04/13 02:04:56.390, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30539 MiB, 1971 MiB 2022/04/13 02:04:56.390, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30585 MiB, 1925 MiB 2022/04/13 02:04:56.397, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30411 MiB, 2099 MiB 2022/04/13 02:04:56.397, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30585 MiB, 1925 MiB 2022/04/13 02:04:56.398, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30411 MiB, 2099 MiB 2022/04/13 02:04:56.399, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30411 MiB, 2099 MiB 2022/04/13 02:04:56.400, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30585 MiB, 1925 MiB 2022/04/13 02:04:56.401, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30411 MiB, 2099 MiB 2022/04/13 02:04:56.407, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30585 MiB, 1925 MiB 2022/04/13 02:04:56.408, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30585 MiB, 1925 MiB 2022/04/13 02:04:56.410, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30585 MiB, 1925 MiB 2022/04/13 02:04:56.411, Tesla V100-SXM2-32GB, 470.57.02, 0 %, 0 %, 32510 MiB, 30585 MiB, 1925 MiB [rank:0] iter: 200/1100, loss: 0.0614801980555058, latency(ms): 6.4663052558898926 | 2022-04-13 02:04:56.796 [rank:0] iter: 300/1100, loss: 0.0612845718860626, latency(ms): 3.4607381001114845 | 2022-04-13 02:04:57.142 [rank:0] iter: 400/1100, loss: 0.0622852332890034, latency(ms): 3.2341649755835533 | 2022-04-13 02:04:57.466 [rank:0] iter: 500/1100, loss: 0.0615587905049324, latency(ms): 2.8459548577666283 | 2022-04-13 02:04:57.750 [rank:0] iter: 600/1100, loss: 0.0613547079265118, latency(ms): 3.1026916205883026 | 2022-04-13 02:04:58.060 [rank:0] iter: 700/1100, loss: 0.0587878264486790, latency(ms): 3.2686641812324524 | 2022-04-13 02:04:58.387 [rank:0] iter: 800/1100, loss: 0.0605633035302162, latency(ms): 3.3054098859429359 | 2022-04-13 02:04:58.718 [rank:0] iter: 900/1100, loss: 0.0609727725386620, latency(ms): 3.7870644778013229 | 2022-04-13 02:04:59.097 [rank:0] iter: 1000/1100, loss: 0.0602368488907814, latency(ms): 3.4803991764783859 | 2022-04-13 02:04:59.445 [rank:0] iter: 1100/1100, loss: 0.0596453770995140, latency(ms): 3.5416298732161522 | 2022-04-13 02:04:59.799