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  /external/libpng/tests/
pngvalid-gamma-16-to-8 2 exec ./pngvalid --strict --gamma-16-to-8
pngvalid-gamma-background 2 exec ./pngvalid --strict --gamma-background
pngvalid-gamma-sbit 2 exec ./pngvalid --strict --gamma-sbit
pngvalid-gamma-threshold 2 exec ./pngvalid --strict --gamma-threshold
pngvalid-gamma-transform 2 exec ./pngvalid --strict --gamma-transform
pngvalid-gamma-alpha-mode 2 exec ./pngvalid --strict --gamma-alpha-mode
pngvalid-gamma-expand16-background 2 exec ./pngvalid --strict --gamma-background --expand16
pngvalid-gamma-expand16-transform 2 exec ./pngvalid --strict --gamma-transform --expand16
pngvalid-gamma-expand16-alpha-mode 2 exec ./pngvalid --strict --gamma-alpha-mode --expand16
pngstest 5 # tests/pngstest gamma alpha
8 # given gamma and opacity:
10 # gamma: one of; linear, 1.8, sRGB, none.
13 # NOTE: the temporary files pngstest generates have the base name gamma-alpha to
16 gamma="$1"
27 test "$gamma" = "linear" && g="$f";;
30 test "$gamma" = "sRGB" && g="$f";;
33 test "$gamma" = "1.8" && g="$f";;
36 test "$gamma" = "none" && g="$f";;
54 exec ./pngstest --tmpfile "${gamma}-${alpha}-" --log ${1+"$@"} $arg
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  /cts/hostsidetests/sustainedperf/shadertoy_android/jni/
shaders.cpp 147 // output the final color with sqrt for "gamma correction"
  /external/tensorflow/tensorflow/core/kernels/
smooth-hinge-loss.h 45 (label - wx - gamma * current_dual) /
46 (num_partitions * example_weight * weighted_example_norm + gamma);
64 return (-y_alpha + 0.5 * gamma * current_dual * current_dual) *
72 if (y_wx <= 1 - gamma) return (1 - y_wx - gamma / 2) * example_weight;
73 return (1 - y_wx) * (1 - y_wx) * example_weight * 0.5 / gamma;
97 if (label * wx <= 1 - gamma) {
100 return (wx - label) / gamma;
103 double SmoothnessConstant() const final { return gamma; }
108 const double gamma = 1 member in class:tensorflow::SmoothHingeLossUpdater
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  /frameworks/av/media/libstagefright/codecs/amrwbenc/src/
weight_a.c 21 * ap[i] = a[i] * (gamma ** i) *
31 Word16 gamma, /* (i) Q15 : Spectral expansion factor. */
37 fac = gamma;
40 fac = (vo_L_mult(fac, gamma) + 0x8000) >> 16;
  /external/skia/src/core/
SkMaskGamma.cpp 16 SkScalar toLuma(SkScalar SkDEBUGCODE(gamma), SkScalar luminance) const override {
17 SkASSERT(SK_Scalar1 == gamma);
20 SkScalar fromLuma(SkScalar SkDEBUGCODE(gamma), SkScalar luma) const override {
21 SkASSERT(SK_Scalar1 == gamma);
27 SkScalar toLuma(SkScalar gamma, SkScalar luminance) const override {
28 return SkScalarPow(luminance, gamma);
30 SkScalar fromLuma(SkScalar gamma, SkScalar luma) const override {
31 return SkScalarPow(luma, SkScalarInvert(gamma));
36 SkScalar toLuma(SkScalar SkDEBUGCODE(gamma), SkScalar luminance) const override {
37 SkASSERT(0 == gamma);
    [all...]
  /external/skqp/src/core/
SkMaskGamma.cpp 16 SkScalar toLuma(SkScalar SkDEBUGCODE(gamma), SkScalar luminance) const override {
17 SkASSERT(SK_Scalar1 == gamma);
20 SkScalar fromLuma(SkScalar SkDEBUGCODE(gamma), SkScalar luma) const override {
21 SkASSERT(SK_Scalar1 == gamma);
27 SkScalar toLuma(SkScalar gamma, SkScalar luminance) const override {
28 return SkScalarPow(luminance, gamma);
30 SkScalar fromLuma(SkScalar gamma, SkScalar luma) const override {
31 return SkScalarPow(luma, SkScalarInvert(gamma));
36 SkScalar toLuma(SkScalar SkDEBUGCODE(gamma), SkScalar luminance) const override {
37 SkASSERT(0 == gamma);
    [all...]
  /external/skia/include/effects/
SkTableMaskFilter.h 17 Helper methods create some common tables (e.g. gamma, clipping)
21 /** Utility that sets the gamma table
23 static void MakeGammaTable(uint8_t table[256], SkScalar gamma);
31 static SkMaskFilter* CreateGamma(SkScalar gamma);
  /external/skqp/include/effects/
SkTableMaskFilter.h 17 Helper methods create some common tables (e.g. gamma, clipping)
21 /** Utility that sets the gamma table
23 static void MakeGammaTable(uint8_t table[256], SkScalar gamma);
31 static SkMaskFilter* CreateGamma(SkScalar gamma);
  /frameworks/av/media/libstagefright/codecs/amrwb/src/
weight_amrwb_lpc.cpp 49 int16 gamma, (i) Q15 : Spectral expansion factor.
56 ap[i] = a[i] (gamma i)
119 int16 gamma, /* (i) Q15 : Spectral expansion factor. */
126 fac = gamma;
130 fac = (int16)(fxp_mac_16by16(fac, gamma, roundFactor) >> 15);
  /external/ImageMagick/MagickCore/
composite-private.h 57 gamma, local
68 gamma=Sa+Da-Sa*Da;
69 gamma=PerceptibleReciprocal(gamma);
86 composite[i]=ClampToQuantum(gamma*MagickOver_((double) p->red,alpha,
92 composite[i]=ClampToQuantum(gamma*MagickOver_((double) p->green,alpha,
98 composite[i]=ClampToQuantum(gamma*MagickOver_((double) p->blue,alpha,
104 composite[i]=ClampToQuantum(gamma*MagickOver_((double) p->black,alpha,
127 gamma, local
135 gamma=Sa+Da-Sa*Da
150 gamma, local
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  /external/libpng/contrib/libtests/
gentests.sh 68 for gamma in "" --sRGB --linear --1.8
70 case "$gamma" in
80 gname="-$gamma";;
82 "$mp" $gamma "$1" "$2" "test-$1-$2$gname.png"
  /external/apache-commons-math/src/main/java/org/apache/commons/math/distribution/
ChiSquaredDistributionImpl.java 41 /** Internal Gamma distribution. */
42 private GammaDistribution gamma; field in class:ChiSquaredDistributionImpl
58 * @param g the underlying gamma distribution used to compute probabilities.
81 gamma = new GammaDistributionImpl(df / 2.0, 2.0);
100 gamma.setAlpha(degreesOfFreedom / 2.0);
108 return gamma.getAlpha() * 2.0;
132 return gamma.density(x);
143 return gamma.cumulativeProbability(x);
182 return Double.MIN_VALUE * gamma.getBeta();
239 * Modify the underlying gamma distribution. The caller is responsible fo
    [all...]
  /external/eigen/unsupported/test/
cxx11_tensor_sugar.cpp 44 const float gamma = 0.14f; local
46 Tensor<float, 3> R = A.constant(gamma) + A * A.constant(alpha) + B * B.constant(beta);
47 Tensor<float, 3> S = A * alpha + B * beta + gamma;
48 Tensor<float, 3> T = gamma + alpha * A + beta * B;
64 const float gamma = 0.14f; local
67 Tensor<float, 3> R = A.constant(gamma) - A / A.constant(alpha)
69 Tensor<float, 3> S = gamma - A / alpha - beta / B - delta;
  /external/tensorflow/tensorflow/contrib/solvers/python/ops/
least_squares.py 74 - gamma: \\(||A^* r||_2^2\\)
78 ["i", "x", "r", "p", "gamma"])
81 return math_ops.logical_and(i < max_iter, state.gamma > tol)
86 alpha = state.gamma / util.l2norm_squared(q)
90 gamma = util.l2norm_squared(s)
91 beta = gamma / state.gamma
93 return i + 1, cgls_state(i + 1, x, r, p, gamma)
105 state = cgls_state(i=i, x=x, r=rhs, p=s0, gamma=gamma0)
113 gamma=state.gamma
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  /external/tensorflow/tensorflow/python/kernel_tests/distributions/
gamma_test.py 30 from tensorflow.python.ops.distributions import gamma as gamma_lib
55 gamma = gamma_lib.Gamma(concentration=alpha, rate=beta)
57 self.assertEqual(self.evaluate(gamma.batch_shape_tensor()), (5,))
58 self.assertEqual(gamma.batch_shape, tensor_shape.TensorShape([5]))
59 self.assertAllEqual(self.evaluate(gamma.event_shape_tensor()), [])
60 self.assertEqual(gamma.event_shape, tensor_shape.TensorShape([]))
69 gamma = gamma_lib.Gamma(concentration=alpha, rate=beta)
70 log_pdf = gamma.log_prob(x
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  /development/samples/RenderScript/Levels/src/com/android/rs/levels/
levels.rs 25 float gamma;
33 if (gamma != 1.0f)
34 pixel = pow(pixel, (float3)gamma);

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