1 /******************************************************************************/
2 /*!
3 * \file timlCNNInputInitialize.c
4 */
5 /* Copyright (C) 2015 Texas Instruments Incorporated - http://www.ti.com/
6 *
7 * Redistribution and use in source and binary forms, with or without
8 * modification, are permitted provided that the following conditions
9 * are met:
10 *
11 * Redistributions of source code must retain the above copyright
12 * notice, this list of conditions and the following disclaimer.
13 *
14 * Redistributions in binary form must reproduce the above copyright
15 * notice, this list of conditions and the following disclaimer in the
16 * documentation and/or other materials provided with the
17 * distribution.
18 *
19 * Neither the name of Texas Instruments Incorporated nor the names of
20 * its contributors may be used to endorse or promote products derived
21 * from this software without specific prior written permission.
22 *
23 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
24 * "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
25 * LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
26 * A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
27 * OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
28 * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
29 * LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
30 * DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
31 * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
32 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
33 * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
34 *
35 ******************************************************************************/
38 /*******************************************************************************
39 *
40 * INCLUDES
41 *
42 ******************************************************************************/
44 #include "../api/timl.h"
47 /******************************************************************************/
48 /*!
49 * \ingroup cnn
50 * \brief Initialize the input layer
51 * \param[in] layer Input layer
52 * \return Error code
53 */
54 /******************************************************************************/
56 int timlCNNInputInitialize(timlCNNLayer *layer)
57 {
58 timlConvNeuralNetwork *cnn = layer->cnn;
59 int deviceId = layer->cnn->deviceId;
60 int threadId = layer->cnn->threadId;
61 int dim;
62 int dataSize = sizeof(float);
63 char *offset;
65 // params memory
66 // mean
67 if (layer->inputParams.shared == false) {
68 if (timlUtilMallocAcc((void**) &(layer->inputParams.mean), sizeof(float)*layer->inputParams.row*layer->inputParams.col*layer->inputParams.channel) != 0) {
69 return ERROR_CNN_LAYER_ALLOCATION;
70 }
71 timlUtilVectorResetFloat(layer->inputParams.mean, layer->inputParams.row*layer->inputParams.col*layer->inputParams.channel, 0.0, deviceId, threadId);
72 }
74 // level 1 and 2
75 if (layer->allocatorLevel == Util_AllocatorLevel1 || layer->allocatorLevel == Util_AllocatorLevel2) {
76 // feature map
77 if (timlUtilMallocAcc((void**) &(layer->featureMap), sizeof(float)*layer->maxBatchSize*layer->row*layer->col*layer->channel) != 0) {
78 return ERROR_CNN_LAYER_ALLOCATION;
79 }
80 // input data
81 if (timlUtilMallocAcc((void**) &(layer->inputParams.inputData), sizeof(float)*layer->maxBatchSize*layer->inputParams.row*layer->inputParams.col*layer->inputParams.channel) != 0) {
82 return ERROR_CNN_LAYER_ALLOCATION;
83 }
84 timlUtilVectorResetFloat(layer->inputParams.inputData, layer->maxBatchSize*layer->inputParams.row*layer->inputParams.col*layer->inputParams.channel, 0.0, deviceId, threadId);
85 }
87 // level 3
88 if (layer->allocatorLevel == Util_AllocatorLevel3) {
89 if (layer->allocatorLevel == Util_AllocatorLevel3) {
90 layer->featureMap = cnn->memPool; // allocate at the top
91 layer->memPoolPos = Util_MemPoolTop;
92 offset = cnn->memPool + cnn->memPoolSize - dataSize*layer->maxBatchSize*layer->inputParams.row*layer->inputParams.col*layer->inputParams.channel;
93 layer->inputParams.inputData = offset;
94 }
95 }
97 return 0;
98 }