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Fix CIFAR 10 Testing example.
[ti-machine-learning/ti-machine-learning.git] / src / common / cnn / timlCNNDropoutForwardPropagation.c
1 /******************************************************************************/
2 /*!
3  * \file timlCNNDropoutForwardPropagation.c
4  */
5 /* Copyright (C) 2015 Texas Instruments Incorporated - http://www.ti.com/
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34  *
35  ******************************************************************************/
38 /*******************************************************************************
39  *
40  * INCLUDES
41  *
42  ******************************************************************************/
44 #include "../api/timl.h"
47 /******************************************************************************/
48 /*!
49  * \ingroup       cnn
50  * \brief         Forward propagate form layer to layer->next
51  * \param[in]     prevLayer Previous layer ptr
52  * \return        Error code
53  */
54 /******************************************************************************/
56 int timlCNNDropoutForwardPropagation(timlCNNLayer *prevLayer)
57 {
59    timlCNNLayer *layer;
60    int          dim;
61    float        prob; // drop out probability
62    int          deviceId;
63    int          threadId;
65    // init
66    layer    = prevLayer->next;
67    dim      = prevLayer->channel*prevLayer->row*prevLayer->col*prevLayer->batchSize;
68    prob     = layer->dropoutParams.prob;
69    deviceId = prevLayer->cnn->deviceId;
70    threadId = prevLayer->cnn->threadId;
72    if (prevLayer->allocatorLevel != Util_AllocatorLevel3) {
73          timlUtilMemcpy(layer->featureMap, prevLayer->featureMap, sizeof(float)*layer->row*layer->col*layer->channel*layer->batchSize, deviceId, threadId);
74    }
75    if (layer->phase == Util_Train) {
76       timlUtilMasking(layer->featureMap, layer->dropoutParams.mask, dim, prob, deviceId, threadId);
77    }
78    return 0;
79 }