| /external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/bijectors/ |
| cholesky_outer_product_test.py | 24 from tensorflow.python.ops.distributions import gamma as gamma_lib
81 distribution=gamma_lib.Gamma(concentration=1., rate=2.),
|
| invert_test.py | 24 from tensorflow.python.ops.distributions import gamma as gamma_lib
81 distribution=gamma_lib.Gamma(concentration=1., rate=2.),
|
| /external/tensorflow/tensorflow/python/kernel_tests/random/ |
| random_gamma_test.py | 90 # Gamma moments only defined for values less than the scale param.
109 g = stats.gamma(alpha, scale=scale)
136 """Zero isn't in the support of the gamma distribution.
139 TODO(bjp): Implement log-gamma sampler for small-shape distributions.
150 dtypes.float16: stats.gamma(alpha).cdf(np.finfo(np.float16).tiny),
151 dtypes.float32: stats.gamma(alpha).cdf(np.finfo(np.float32).tiny),
152 dtypes.float64: stats.gamma(alpha).cdf(np.finfo(np.float64).tiny)
|
| /external/libchrome/crypto/ |
| p224.cc | 532 FieldElement delta, gamma, beta, alpha, t; local
535 Square(&gamma, a.y);
536 Mul(&beta, a.x, gamma);
548 // Z3 = (Y1+Z1)²-gamma-delta
552 Subtract(&out->z, out->z, gamma);
566 // Y3 = alpha*(4*beta-X3)-8*gamma²
573 Square(&gamma, gamma);
575 gamma[i] <<= 3;
577 Reduce(&gamma);
[all...] |
| /frameworks/base/services/core/java/com/android/server/ |
| VibratorService.java | 87 // Gamma adjustments for scale levels.
278 public final float gamma; field in class:VibratorService.ScaleLevel
281 public ScaleLevel(float gamma) {
282 this(gamma, VibrationEffect.MAX_AMPLITUDE);
285 public ScaleLevel(float gamma, int maxAmplitude) {
286 this.gamma = gamma;
292 return "ScaleLevel{gamma=" + gamma + ", maxAmplitude=" + maxAmplitude + "}";
749 scaledEffect = oneShot.scale(scale.gamma, scale.maxAmplitude)
[all...] |
| /prebuilts/go/darwin-x86/src/crypto/elliptic/ |
| p224.go | 591 var delta, gamma, beta, alpha, t p224FieldElement
595 p224Square(&gamma, y1, &c)
596 p224Mul(&beta, x1, &gamma, &c)
608 // Z3 = (Y1+Z1)²-gamma-delta
612 p224Sub(z3, z3, &gamma)
626 // Y3 = alpha*(4*beta-X3)-8*gamma²
632 p224Square(&gamma, &gamma, &c)
634 gamma[i] <<= 3
636 p224Reduce(&gamma)
[all...] |
| /prebuilts/go/linux-x86/src/crypto/elliptic/ |
| p224.go | 591 var delta, gamma, beta, alpha, t p224FieldElement
595 p224Square(&gamma, y1, &c)
596 p224Mul(&beta, x1, &gamma, &c)
608 // Z3 = (Y1+Z1)²-gamma-delta
612 p224Sub(z3, z3, &gamma)
626 // Y3 = alpha*(4*beta-X3)-8*gamma²
632 p224Square(&gamma, &gamma, &c)
634 gamma[i] <<= 3
636 p224Reduce(&gamma)
[all...] |
| /external/ImageMagick/MagickCore/ |
| enhance.c | 99 % to try make set its gamma appropriatally.
116 gamma,
131 Apply gamma correction equally across all given channels.
134 gamma=log(mean*QuantumScale)/log_mean;
135 return(LevelImage(image,0.0,(double) QuantumRange,gamma,exception));
138 Auto-gamma each channel separately.
152 gamma=log(mean*QuantumScale)/log_mean;
153 status&=LevelImage(image,0.0,(double) QuantumRange,gamma,exception);
114 gamma, local
1156 gamma; local
[all...] |
| fourier.c | 289 gamma;
291 gamma=PerceptibleReciprocal(Br[i]*Br[i]+Bi[i]*Bi[i]+snr);
292 Cr[i]=gamma*(Ar[i]*Br[i]+Ai[i]*Bi[i]);
293 Ci[i]=gamma*(Ai[i]*Br[i]-Ar[i]*Bi[i]);
791 gamma;
797 gamma=PerceptibleReciprocal((double) fourier_info->width*
803 forward_pixels[i]*=gamma;
805 forward_pixels[i][0]*=gamma;
806 forward_pixels[i][1]*=gamma;
286 gamma; local
787 gamma; local
1332 gamma; local
[all...] |
| segment.c | 1704 *gamma, local
[all...] |
| fx.c | 2114 gamma; local
[all...] |
| /external/libpng/contrib/gregbook/ |
| writepng.c | 160 if (mainprog_ptr->gamma > 0.0)
161 png_set_gAMA(png_ptr, info_ptr, mainprog_ptr->gamma);
|
| /external/tensorflow/tensorflow/contrib/solvers/python/kernel_tests/ |
| linear_equations_test.py | 105 self.assertAlmostEqual(cg_results[0].gamma, cg_results[1].gamma)
|
| /external/tensorflow/tensorflow/core/profiler/g3doc/ |
| profile_model_architecture.md | 27 unit_last/final_bn/gamma (64, 64/128 params)
|
| /frameworks/native/libs/ui/include/ui/ |
| ColorSpace.h | 86 * The transfer functions are defined by a simple gamma value.
92 float gamma,
136 * The transfer functions are defined by a single gamma value.
143 float gamma,
252 // The generated LUT transforms from gamma space to gamma space
|
| /prebuilts/gcc/linux-x86/host/x86_64-w64-mingw32-4.8/x86_64-w64-mingw32/include/gdiplus/ |
| gdiplusimageattributes.h | 168 Status SetGamma(REAL gamma,
172 nativeImageAttributes, type, TRUE, gamma));
|
| /prebuilts/go/darwin-x86/src/math/cmplx/ |
| exp.go | 25 // source listings for the gamma function and the incomplete beta
|
| log.go | 25 // source listings for the gamma function and the incomplete beta
|
| /prebuilts/go/linux-x86/src/math/cmplx/ |
| exp.go | 25 // source listings for the gamma function and the incomplete beta
|
| log.go | 25 // source listings for the gamma function and the incomplete beta
|
| /frameworks/base/services/core/java/com/android/server/display/ |
| ColorFade.java | 247 mGammaLoc = GLES20.glGetUniformLocation(mProgram, "gamma");
395 float gamma = (float) ((0.5d * sign * Math.pow(cos, 2) + 0.5d) * 0.9d + 0.1d);
396 drawFaded(opacity, 1.f / gamma);
408 private void drawFaded(float opacity, float gamma) {
410 Slog.d(TAG, "drawFaded: opacity=" + opacity + ", gamma=" + gamma);
419 GLES20.glUniform1f(mGammaLoc, gamma);
|
| /external/opencv/cvaux/src/ |
| cvepilines.cpp | 454 double gamma; local
481 gamma = len2 / len1;
486 gamma,
601 double gamma,
621 if( gamma > 0 )
625 coeffs->XcoefB = -xA - gamma * x1 + gamma * xA;
626 coeffs->XcoefAB = -xB + xA + gamma * xB - gamma * xA;
630 coeffs->YcoefB = -yA - gamma * y1 + gamma * yA
[all...] |
| /external/tensorflow/tensorflow/python/layers/ |
| normalization.py | 60 using multi-axis batch norm, the `beta`, `gamma`, `moving_mean`, and
67 scale: If True, multiply by `gamma`. If False, `gamma` is
71 gamma_initializer: Initializer for the gamma weight.
75 gamma_regularizer: Optional regularizer for the gamma weight.
83 `gamma` weight after being updated by an `Optimizer`.
105 normalized separately (with shared gamma, beta, and moving statistics).
109 normalized values (before gamma and beta), only during training. For
116 but shared across all examples), and finally apply gamma and/or beta. If
272 self.gamma = self.add_variable
[all...] |
| /external/skia/src/ports/ |
| SkTypeface_win_dw.cpp | 279 float gamma = defaultRenderingParams->GetGamma(); local
280 rec->setDeviceGamma(gamma);
281 rec->setPaintGamma(gamma);
|
| /external/skqp/src/ports/ |
| SkTypeface_win_dw.cpp | 279 float gamma = defaultRenderingParams->GetGamma(); local
280 rec->setDeviceGamma(gamma);
281 rec->setPaintGamma(gamma);
|
