/external/swiftshader/third_party/LLVM/docs/ |
H A D | llvm.css | 18 th { border: 2px solid gray; font-weight: bold; font-size: 105%;
28 font-family: "Georgia,Palatino,Times,Roman,SanSerif"; font-weight: bold;
49 font-weight: bold; font-style: oblique;
53 .doc_author { text-align: left; font-weight: bold; padding-left: 20pt }
58 .doc_hilite { color: blue; font-weight: bold; }
63 .doc_warning { color: red; font-weight: bold }
102 th.layout { border: none; font-weight: bold; font-size: 105%;
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/external/drrickorang/LoopbackApp/app/src/main/java/org/drrickorang/loopback/ |
H A D | PerformanceMeasurement.java | 136 double weight; 144 weight = Math.abs(i - mExpectedBufferPeriodMs); 145 weight *= weight; // squared 146 weightedCount += weight * mBufferData[i];
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/external/tensorflow/tensorflow/contrib/tensor_forest/kernels/v4/ |
H A D | grow_stats.h | 147 void update(int split, float old_val, float weight) { argument 148 sum_[split] += weight; 149 const float new_val = old_val + weight; 204 float weight) = 0; 206 float weight) { 209 virtual void ClassificationAddTotalExample(int64 int_label, float weight) = 0; 332 float weight) override { 333 mutable_left_count(split, int_label) += weight; 335 void ClassificationAddTotalExample(int64 int_label, float weight) override { 336 num_outputs_seen_ += total_counts_[int_label] == 0 && weight > 205 ClassificationAddRightExample(int split, int64 int_label, float weight) argument [all...] |
H A D | leaf_model_operators.cc | 63 float weight = target->GetTargetWeight(example); local 64 val->set_float_value(val->float_value() + weight); 96 const float weight = target->GetTargetWeight(example); local 101 (*value_map)[int_label].set_float_value(weight); 103 it->second.set_float_value(it->second.float_value() + weight);
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/external/icu/icu4c/ |
H A D | icu4c.css | 60 font-weight: 700; 64 font-weight: bold; 71 font-weight: 700; 110 font-weight: bolder; 154 font-weight: 700; 216 font-weight: 700; 249 font-weight: 500; 253 font-weight: 700; 294 font-weight: bold; 316 font-weight [all...] |
/external/libavc/common/arm/ |
H A D | ih264_weighted_bi_pred_a9q.s | 75 @* weight for the weighted prediction 78 @* weight for the weighted prediction 184 vmul.s16 q2, q2, d2[0] @weight 1 mult. for rows 1,2 185 vmla.s16 q2, q3, d2[2] @weight 2 mult. for rows 1,2 186 vmul.s16 q4, q4, d2[0] @weight 1 mult. for rows 3,4 187 vmla.s16 q4, q5, d2[2] @weight 2 mult. for rows 3,4 224 vmul.s16 q2, q2, d2[0] @weight 1 mult. for row 1 225 vmla.s16 q2, q3, d2[2] @weight 2 mult. for row 1 228 vmul.s16 q4, q4, d2[0] @weight 1 mult. for row 2 229 vmla.s16 q4, q5, d2[2] @weight [all...] |
/external/libvpx/libvpx/vp9/encoder/x86/ |
H A D | temporal_filter_sse4.c | 113 // by weight. 116 const int weight) { 120 const __m128i weight_u16 = _mm_set1_epi16(weight); 142 const int rounding, const int weight) { 145 const __m128i weight_u16 = _mm_set1_epi16(weight); 241 int weight, uint32_t *accumulator, 249 assert(weight >= 0); 250 assert(weight <= 2); 264 sum_row_c = average_8(sum_row_c, mul_constants, strength, rounding, weight); 282 average_8(sum_row_a, mul_constants, strength, rounding, weight); 114 average_8(__m128i sum, const __m128i mul_constants, const int strength, const int rounding, const int weight) argument 139 average_16(__m128i *sum_0_u16, __m128i *sum_1_u16, const __m128i mul_constants_0, const __m128i mul_constants_1, const int strength, const int rounding, const int weight) argument 238 vp9_temporal_filter_apply_sse4_1(const uint8_t *a, unsigned int stride, const uint8_t *b, unsigned int width, unsigned int height, int strength, int weight, uint32_t *accumulator, uint16_t *count) argument [all...] |
/external/skia/src/effects/ |
H A D | SkMagnifierImageFilter.cpp | 157 SkScalar weight = 0; local 170 weight = SkMinScalar(SkScalarSquare(dist), SK_Scalar1); 174 weight = SkMinScalar(sqDist, SK_Scalar1); 177 SkScalar x_interp = weight * (fSrcRect.x() + x * invXZoom) + (1 - weight) * x; 178 SkScalar y_interp = weight * (fSrcRect.y() + y * invYZoom) + (1 - weight) * y;
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/external/skqp/src/effects/ |
H A D | SkMagnifierImageFilter.cpp | 157 SkScalar weight = 0; local 170 weight = SkMinScalar(SkScalarSquare(dist), SK_Scalar1); 174 weight = SkMinScalar(sqDist, SK_Scalar1); 177 SkScalar x_interp = weight * (fSrcRect.x() + x * invXZoom) + (1 - weight) * x; 178 SkScalar y_interp = weight * (fSrcRect.y() + y * invYZoom) + (1 - weight) * y;
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/external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/general/ |
H A D | GaussNewtonOptimizer.java | 85 final double weight = residualsWeights[i]; 89 final double wr = weight * residual; 97 double wgk = weight * grad[k];
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/external/skia/tools/lua/ |
H A D | bbh_filter.lua | 74 verbWeights = {} -- {verb, weight}, where 0 < weight <= 1 103 local weight = 0 105 weight = weight + (1 / verbWeights[name]) * count 107 return weight
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/external/skqp/tools/lua/ |
H A D | bbh_filter.lua | 74 verbWeights = {} -- {verb, weight}, where 0 < weight <= 1 103 local weight = 0 105 weight = weight + (1 / verbWeights[name]) * count 107 return weight
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/external/skia/tests/ |
H A D | RRectInPathTest.cpp | 103 // We use a dummy path to get the exact conic weight used by SkPath for a circular arc. This 114 const SkScalar weight = iter.conicWeight(); local 119 path.conicTo(0, 0, 3.5f, 0, weight); 121 path.conicTo(200, 0, 200, 3.5f, weight); 123 path.conicTo(200, 66, 196.5f, 66, weight); 125 path.conicTo(0, 66, 0, 62.5, weight); 132 path.conicTo(0, 0, 3.5f, 0, weight); 134 path.conicTo(153, 0, 153, 3.5f, weight); 136 path.conicTo(153, 85, 149.5f, 85, weight); 138 path.conicTo(0, 85, 0, 81.5f, weight); [all...] |
/external/skqp/tests/ |
H A D | RRectInPathTest.cpp | 103 // We use a dummy path to get the exact conic weight used by SkPath for a circular arc. This 114 const SkScalar weight = iter.conicWeight(); local 119 path.conicTo(0, 0, 3.5f, 0, weight); 121 path.conicTo(200, 0, 200, 3.5f, weight); 123 path.conicTo(200, 66, 196.5f, 66, weight); 125 path.conicTo(0, 66, 0, 62.5, weight); 132 path.conicTo(0, 0, 3.5f, 0, weight); 134 path.conicTo(153, 0, 153, 3.5f, weight); 136 path.conicTo(153, 85, 149.5f, 85, weight); 138 path.conicTo(0, 85, 0, 81.5f, weight); [all...] |
/external/ImageMagick/MagickCore/ |
H A D | type.h | 67 weight; member in struct:_TypeInfo
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/external/deqp/framework/delibs/decpp/ |
H A D | deRandom.hpp | 65 T chooseWeighted (InputIter first, InputIter last, WeightIter weight); 135 T Random::chooseWeighted (InputIter first, InputIter last, WeightIter weight) argument 137 // Compute weight sum 141 weightSum += *(weight + ndx); 151 float w = *(weight + ndx);
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/external/libnl/doc/stylesheets/ |
H A D | xhtml11.css | 26 font-weight: bold; 81 font-weight: bold; 129 font-weight: bold; 188 font-weight: bold; 252 font-weight: bold; 255 font-weight: bold; 285 font-weight: bold; 313 font-weight: bold;
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/external/skia/src/pathops/ |
H A D | SkPathWriter.h | 24 void conicTo(const SkPoint& pt1, const SkOpPtT* pt2, SkScalar weight);
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/external/skqp/src/pathops/ |
H A D | SkPathWriter.h | 24 void conicTo(const SkPoint& pt1, const SkOpPtT* pt2, SkScalar weight);
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/external/tensorflow/tensorflow/contrib/boosted_trees/resources/ |
H A D | decision_tree_ensemble_resource.h | 76 boosted_trees::trees::DecisionTreeConfig* AddNewTree(const float weight) { argument 77 // Adding a tree as well as a weight and a tree_metadata. 78 decision_tree_ensemble_->add_tree_weights(weight); 143 // Sets the weight of i'th tree, and increment num_updates in tree_metadata. 144 void SetTreeWeight(const int32 index, const float weight, argument 148 decision_tree_ensemble_->set_tree_weights(index, weight);
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/external/tensorflow/tensorflow/contrib/model_pruning/python/layers/ |
H A D | rnn_cells_test.py | 57 for weight in pruning.get_weights(): 58 self.assertEqual(weight.shape, (expected_num_rows, expected_num_cols)) 81 for weight in pruning.get_weights(): 82 self.assertEqual(weight.shape, (expected_num_rows, expected_num_cols))
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/external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/fitting/ |
H A D | HarmonicFitter.java | 65 * @param weight weight of the observed point in the fit 70 public void addObservedPoint(double weight, double x, double y) { argument 71 fitter.addObservedPoint(weight, x, y);
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/external/autotest/client/profilers/powertop/src/ |
H A D | config.c | 89 void suggest_kernel_config(char *string, int onoff, char *comment, int weight) argument 110 add_suggestion(comment, weight, 0, NULL, NULL);
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/external/tensorflow/tensorflow/compiler/xla/tests/ |
H A D | convolution_dimension_numbers_test.cc | 49 // Tests the convolution operation with invalid weight dimension numbers. 56 ::testing::HasSubstr("weight are not unique")); 81 auto weight = local 82 builder.Parameter(0, ShapeUtil::MakeShape(F32, {4, 3, 1, 1}), "weight"); 83 auto conv1 = builder.Conv(input, weight, {1, 1}, Padding::kValid);
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/external/icu/icu4j/ |
H A D | stylesheet6.css | 72 /* font-weight:bold; */ 74 font-weight: bold; 98 font-weight: bold; 109 font-weight: bold;
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