Searched refs:weights (Results 1 - 7 of 7) sorted by relevance
/frameworks/compile/libbcc/lib/ScriptCRT/ |
H A D | rs_sample.c | 96 getSample##vecsize(rs_allocation a, float2 weights, \ 102 return p0 * weights.x + p1 * weights.y; \ 106 getSample##vecsize(rs_allocation a, float4 weights, \ 116 return p0 * weights.x + p1 * weights.y + p2 * weights.z + p3 * weights.w; \ 184 result.xyz = getSample565(a, weights, iPixel, next, lod); \ 190 result.x = getSample1(a, weights, iPixe 234 getBilinearSample(rs_allocation a, float2 weights, uint32_t iPixel, uint32_t next, uint32_t vecSize, rs_data_type dt, uint32_t lod) argument 241 getBilinearSample(rs_allocation a, float4 weights, uint2 iPixel, uint2 next, uint32_t vecSize, rs_data_type dt, uint32_t lod) argument 279 float2 weights; local 335 float4 weights; local [all...] |
/frameworks/ml/bordeaux/learning/stochastic_linear_ranker/java/android/bordeaux/learning/ |
H A D | StochasticLinearRanker.java | 42 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())
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/frameworks/base/media/mca/filterpacks/java/android/filterpacks/imageproc/ |
H A D | SaturateFilter.java | 48 "uniform vec3 weights;\n" + 52 " float kv = dot(color.rgb, weights) + shift;\n" + 60 "uniform vec3 weights;\n" + 65 " float de = dot(color.rgb, weights);\n" + 145 float weights[] = { 2f/8f, 5f/8f, 1f/8f}; 147 mBenProgram.setHostValue("weights", weights); 150 mHerfProgram.setHostValue("weights", weights);
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H A D | SepiaFilter.java | 106 float weights[] = { 805.0f / 2048.0f, 715.0f / 2048.0f, 557.0f / 2048.0f, 109 mProgram.setHostValue("matrix", weights);
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/frameworks/ml/bordeaux/service/src/android/bordeaux/services/ |
H A D | Learning_StochasticLinearRanker.java | 90 HashMap<String, Float> weights = new HashMap<String, Float>(); 92 weights.put(temp.get(i).key, temp.get(i).value); 95 return mLearningSlRanker.setModelPriorWeights(weights);
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/frameworks/base/libs/hwui/ |
H A D | FontRenderer.h | 381 void computeGaussianWeights(float* weights, int32_t radius); 382 void horizontalBlur(float* weights, int32_t radius, const uint8_t *source, uint8_t *dest, 384 void verticalBlur(float* weights, int32_t radius, const uint8_t *source, uint8_t *dest,
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H A D | FontRenderer.cpp | 1109 void FontRenderer::computeGaussianWeights(float* weights, int32_t radius) { argument 1110 // Compute gaussian weights for the blur 1135 weights[r + radius] = coeff1 * pow(e, floatR * floatR * coeff2); 1136 normalizeFactor += weights[r + radius]; 1139 //Now we need to normalize the weights because all our coefficients need to add up to one 1142 weights[r + radius] *= normalizeFactor; 1146 void FontRenderer::horizontalBlur(float* weights, int32_t radius, argument 1158 const float* gPtr = weights; 1190 void FontRenderer::verticalBlur(float* weights, int32_t radius, argument 1201 const float* gPtr = weights; [all...] |
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