1 /*
2 * Copyright (c) 2019, Texas Instruments Incorporated
3 * All rights reserved.
4 *
5 * Redistribution and use in source and binary forms, with or without
6 * modification, are permitted provided that the following conditions
7 * are met:
8 *
9 * * Redistributions of source code must retain the above copyright
10 * notice, this list of conditions and the following disclaimer.
11 *
12 * * Redistributions in binary form must reproduce the above copyright
13 * notice, this list of conditions and the following disclaimer in the
14 * documentation and/or other materials provided with the distribution.
15 *
16 * * Neither the name of Texas Instruments Incorporated nor the names of
17 * its contributors may be used to endorse or promote products derived
18 * from this software without specific prior written permission.
19 *
20 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
21 * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO,
22 * THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
23 * PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
24 * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
25 * EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
26 * PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
27 * OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
28 * WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
29 * OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE,
30 * EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
31 *
32 */
34 #include <stdio.h>
35 #include <stdlib.h>
36 #include <string.h>
37 #include <malloc.h>
39 #include <iostream>
40 #include "onnx_model.h"
41 #include "config.h"
43 OnnxModel *model;
44 void lstmSetup(void)
45 {
46 model = new OnnxModel;
47 // Initialize model.
48 model->LoadModel();
49 }
51 void runLstm(double in1, double in2, double *out1, double *out2)
52 {
53 Tensor in(config::SEGMENT_TIME_SIZE, config::N_FEATURES);
54 Tensor out;
56 in.data_.at(0) = in1;
57 in.data_.at(1) = in2;
58 model->Apply(&in, &out);
59 *out1 = out.data_.at(0);
60 *out2 = out.data_.at(1);
61 }