Created by: lyp2github

模型输入： query_vec = paddle.layer.data('query_vec', type=paddle.data_type.integer_value_sequence(DICT_SIZE)) pos_img_11wfea = paddle.layer.data('pos_img_11wfea', type=paddle.data_type.dense_vector(1024))

capi参数设置，测试batch=2, int[] _termsids ={8,9,8,9}; int[] seq_pos_arr = {0, 2, 4}; int ins_size = 2 int IMAFEA_NUM = 1024; paddle_arguments in_args = paddle_arguments_create_none(); paddle_arguments_resize(in_args,2); paddle_ivector n_id_vec = paddle_ivector_create(_termsids, idsize, false, false); paddle_arguments_set_ids(in_args, 0, n_id_vec); paddle_ivector seq_pos = paddle_ivector_create(seq_pos_arr, sizeof(seq_pos_arr)/sizeof(int), false, false); int rets = paddle_arguments_set_sequence_start_pos(in_args, 0, 0, seq_pos); //对mat赋值，便于排查实际是两组一样的数据 paddle_matrix mat = paddle_matrix_create(ins_size, IMAFEA_NUM, false); for (int j = 0; j < ins_size; j++){ paddle_real* array; paddle_matrix_get_row(mat, j, &array);

    for(uint64_t i = 0; i < IMAFEA_NUM; i++){
        array[i] = _feature[i];
    }
    WARNING_LOG("paddle_matrix set value %d, array[0] %.4f", j, array[0]);
}

paddle_arguments_set_value(in_args, 1 , mat); paddle_arguments out_args = paddle_arguments_create_none();

int ret = paddle_gradient_machine_forward(&_model, in_args, out_args, false);//此处出core

[Thread debugging using libthread_db enabled] Using host libthread_db library "/opt/compiler/gcc-4.8.2/lib/libthread_db.so.1". Core was generated by `./bin/ximagednnq.tester'. Program terminated with signal SIGSEGV, Segmentation fault. #0 0x0000000001d0c7f0 in ?? () (gdb) (gdb) bt #0 0x0000000001d0c7f0 in ?? () #1 (closed) 0x00007fd7451f40f6 in paddle_gradient_machine_forward () from /home/work/liuyaping/dev2/bc_out/baidu/third-party/paddle-capi/output/so/libpaddle_capi_shared.so #2 (closed) 0x000000000048d4c3 in im::ximage_dnnq_plugin::ximagednnq_calc_q (all_fea=..., all_q=...) at baidu/personal-code/lyp-imgqdnn/src/ximagednnq.cpp:560 #3 (closed) 0x0000000000540728 in im::predictor::PluginDispatcher::call_plugin_callback (this=this@entry=0x7fd6b1838130) at baidu/im-predictor/framework-new/kernel/src/dispatcher/plugin_dispatcher.cpp:157 #4 (closed) 0x0000000000540941 in im::predictor::PluginDispatcher::dispatch (this=0x7fd6b1838130, cmd=) at baidu/im-predictor/framework-new/kernel/src/dispatcher/plugin_dispatcher.cpp:68 #5 (closed) 0x0000000000508cbe in im::predictor::DispatchFilter::handle_request (this=0x7fd6b182f910, req_error_no=@0x7fd718df984c: 0) at baidu/im-predictor/framework-new/kernel/src/request_handle_filter/dispatch_filter.cpp:58 #6 (closed) 0x00000000004fa351 in im::predictor::RequestHandleFilterManager::handle_request (this=this@entry=0x21396f0, req_error_no=req_error_no@entry=@0x7fd718df984c: 0) at baidu/im-predictor/framework-new/kernel/src/request_handle_filter/request_handle_filter_manager.cpp:129 #7 (closed) 0x00000000004de977 in im::predictor::request_handle_callback () at baidu/im-predictor/framework-new/kernel/src/server/predictor_server.cpp:184 #8 (closed) 0x0000000000982297 in default_native () at public/ub/ub_server/ubserver_app.cpp:340 #9 (closed) 0x000000000098f803 in eppool_consume (pool=0x3154840, data=0x3154dc8) at public/ub/ub_server/eppool.cpp:749 #10 (closed) 0x000000000098f4df in _eppool_workers (param=0x3154dc8) at public/ub/ub_server/eppool.cpp:696 #11 0x00007fd7582471c3 in start_thread () from /opt/compiler/gcc-4.8.2/lib/libpthread.so.0 #12 (closed) 0x00007fd7446aa12d in clone () from /opt/compiler/gcc-4.8.2/lib/libc.so.6