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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  *
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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,
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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 }