Searched defs:weights (Results 1 - 3 of 3) sorted by path

/frameworks/base/libs/hwui/utils/
H A DBlur.cpp26 void Blur::generateGaussianWeights(float* weights, int32_t radius) { argument
27 // Compute gaussian weights for the blur
52 weights[r + radius] = coeff1 * pow(e, floatR * floatR * coeff2);
53 normalizeFactor += weights[r + radius];
56 //Now we need to normalize the weights because all our coefficients need to add up to one
59 weights[r + radius] *= normalizeFactor;
63 void Blur::horizontal(float* weights, int32_t radius, argument
75 const float* gPtr = weights;
107 void Blur::vertical(float* weights, int32_t radius, argument
117 const float* gPtr = weights;
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/frameworks/ml/bordeaux/learning/stochastic_linear_ranker/java/android/bordeaux/learning/
H A DStochasticLinearRanker.java42 public HashMap<String, Float> weights = new HashMap<String, Float>(); field in class:StochasticLinearRanker.Model
95 slrModel.weights.put(wKeys[i], wValues[i]);
109 String[] wKeys = new String[model.weights.size()];
110 float[] wValues = new float[model.weights.size()];
112 for (Map.Entry<String, Float> e : model.weights.entrySet()){
144 for (Map.Entry<String, Float> e : model.weights.entrySet())
/frameworks/rs/driver/runtime/
H A Drs_sample.c269 getBilinearSample1D(const Allocation_t *alloc, float2 weights, argument
277 return getSample_RGBA(p, iPixel, next, weights.x, weights.y);
279 return getSample_A(p, iPixel, next, weights.x, weights.y);
282 return getSample_565(p, iPixel, next, weights.x, weights.y);
284 return getSample_RGB(p, iPixel, next, weights.x, weights.y);
286 return getSample_L(p, iPixel, next, weights
443 float2 weights; local
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