Searched refs:scale (Results 76 - 100 of 1782) sorted by relevance

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/external/clang/test/PCH/
H A Dblocks.h12 __block int scale = s;
13 return call_block(^(int x, int y) { return x*scale + y; }, a, b);
/external/icu/android_icu4j/src/main/tests/android/icu/dev/test/timescale/
H A DTimeScaleMonkeyTest.java92 for (int scale = 0; scale < UniversalTimeScale.MAX_SCALE; scale += 1) {
93 long fromMin = UniversalTimeScale.getTimeScaleValue(scale, UniversalTimeScale.FROM_MIN_VALUE);
94 long fromMax = UniversalTimeScale.getTimeScaleValue(scale, UniversalTimeScale.FROM_MAX_VALUE);
102 long rt = UniversalTimeScale.toLong(UniversalTimeScale.from(value, scale), scale);
105 errln("Round-trip error: time scale = " + scale + ", value = " + value + ", round-trip = " + rt);
/external/icu/icu4j/main/tests/core/src/com/ibm/icu/dev/test/timescale/
H A DTimeScaleMonkeyTest.java89 for (int scale = 0; scale < UniversalTimeScale.MAX_SCALE; scale += 1) {
90 long fromMin = UniversalTimeScale.getTimeScaleValue(scale, UniversalTimeScale.FROM_MIN_VALUE);
91 long fromMax = UniversalTimeScale.getTimeScaleValue(scale, UniversalTimeScale.FROM_MAX_VALUE);
99 long rt = UniversalTimeScale.toLong(UniversalTimeScale.from(value, scale), scale);
102 errln("Round-trip error: time scale = " + scale + ", value = " + value + ", round-trip = " + rt);
/external/skia/include/core/
H A DSkUnPreMultiply.h38 SkUnPreMultiply::Scale scale = table[a];
40 red = SkUnPreMultiply::ApplyScale(scale, red);
45 static U8CPU ApplyScale(Scale scale, U8CPU component) { argument
47 return (scale * component + (1 << 23)) >> 24;
/external/skqp/include/core/
H A DSkUnPreMultiply.h38 SkUnPreMultiply::Scale scale = table[a];
40 red = SkUnPreMultiply::ApplyScale(scale, red);
45 static U8CPU ApplyScale(Scale scale, U8CPU component) { argument
47 return (scale * component + (1 << 23)) >> 24;
/external/tensorflow/tensorflow/core/kernels/
H A Dadjust_saturation_op_gpu.cu.cc30 const float* const scale,
40 number_of_elements, input, output, nullptr, scale, nullptr);
27 operator ()(GPUDevice* device, const int64 number_of_elements, const float* const input, const float* const scale, float* const output) argument
/external/aac/libFDK/include/
H A Dscale.h235 * \brief Scale input value by 2^{scale} and saturate output to 2^{dBits-1}
243 #define SATURATE_RIGHT_SHIFT(src, scale, dBits) \
244 ((((LONG)(src) >> (scale)) > (LONG)(((1U) << ((dBits)-1)) - 1)) \
246 : (((LONG)(src) >> (scale)) < ~((LONG)(((1U) << ((dBits)-1)) - 1))) \
248 : ((LONG)(src) >> (scale)))
252 #define SATURATE_LEFT_SHIFT(src, scale, dBits) \
253 (((LONG)(src) > ((LONG)(((1U) << ((dBits)-1)) - 1) >> (scale))) \
255 : ((LONG)(src) < ~((LONG)(((1U) << ((dBits)-1)) - 1) >> (scale))) \
257 : ((LONG)(src) << (scale)))
261 #define SATURATE_SHIFT(src, scale, dBit
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/external/scapy/scapy/contrib/
H A Dppi_cace.py57 scale = 1e-3
59 scale = 1e-6
60 tout = scale * float(val)
63 scale = 1e6
68 scale = 1e3
69 tout = int((scale * val) + 0.5)
/external/skia/src/core/
H A DSkPoint3.cpp53 float scale; local
55 scale = 1.0f / sk_float_sqrt(magSq);
65 // Casting this to a float would cause the scale to go to zero. Keeping it
66 // as a double for the multiply keeps the scale non-zero.
73 scale = (float)(1.0f / sqrt(xx * xx + yy * yy + zz * zz));
76 fX *= scale;
77 fY *= scale;
78 fZ *= scale;
/external/skqp/src/core/
H A DSkPoint3.cpp53 float scale; local
55 scale = 1.0f / sk_float_sqrt(magSq);
65 // Casting this to a float would cause the scale to go to zero. Keeping it
66 // as a double for the multiply keeps the scale non-zero.
73 scale = (float)(1.0f / sqrt(xx * xx + yy * yy + zz * zz));
76 fX *= scale;
77 fY *= scale;
78 fZ *= scale;
/external/tensorflow/tensorflow/core/lib/monitoring/
H A Dsampler.cc66 ExponentialBuckets(double scale, double growth_factor, int bucket_count) argument
68 ComputeBucketLimits(scale, growth_factor, bucket_count)) {}
75 static std::vector<double> ComputeBucketLimits(double scale, argument
80 double bound = scale;
102 std::unique_ptr<Buckets> Buckets::Exponential(double scale, argument
106 new ExponentialBuckets(scale, growth_factor, bucket_count));
/external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/
H A Dhalf_normal_test.py60 scale_shape = param_shapes["scale"]
62 scale = array_ops.ones(scale_shape)
65 array_ops.shape(hn_lib.HalfNormal(scale).sample()).eval())
69 scale_shape = param_shapes["scale"]
92 scale = constant_op.constant([3.0] * batch_size)
94 halfnorm = hn_lib.HalfNormal(scale=scale)
104 expected_log_pdf = stats.halfnorm(scale=scale.eval()).logpdf(x)
111 scale
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H A Dsinh_arcsinh_test.py35 scale = rng.rand(b) + 0.5
40 scale=scale,
44 scale=scale,
63 scale = array_ops.placeholder(dtypes.float64)
67 scale=scale,
73 scale: np.float64(rng.rand()), # Scalar
79 scale
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/external/tensorflow/tensorflow/contrib/distributions/python/ops/
H A Dhalf_normal.py42 """The Half Normal distribution with scale `scale`.
49 X ~ Normal(0.0, scale)
56 pdf(x; scale, x > 0) = sqrt(2) / (scale * sqrt(pi)) *
57 exp(- 1/2 * (x / scale) ** 2)
60 Where `scale = sigma` is the standard deviation of the underlying normal
69 dist = tf.contrib.distributions.HalfNormal(scale=3.0)
75 # The first has scale 11.0, the second 22.0
76 dist = tf.contrib.distributions.HalfNormal(scale
127 def scale(self): member in class:HalfNormal
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H A Dlogistic.py37 """The Logistic distribution with location `loc` and `scale` parameters.
47 where `loc = mu` and `scale = sigma`.
49 The Logistic distribution is a member of the [location-scale family](
54 X ~ Logistic(loc=0, scale=1)
55 Y = loc + scale * X
66 dist = tfd.Logistic(loc=0., scale=3.)
72 # The first has mean 1 and scale 11, the second 2 and 22.
73 dist = tfd.Logistic(loc=[1, 2.], scale=[11, 22.])
85 dist = tfd.Logistic(loc=1., scale=[11, 22.])
96 scale,
150 def scale(self): member in class:Logistic
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/external/apache-commons-math/src/main/java/org/apache/commons/math/distribution/
H A DCauchyDistributionImpl.java48 /** The scale of this distribution. */
49 private double scale = 1; field in class:CauchyDistributionImpl
55 * Creates cauchy distribution with the medain equal to zero and scale
63 * Create a cauchy distribution using the given median and scale.
65 * @param s scale parameter for this distribution
72 * Create a cauchy distribution using the given median and scale.
74 * @param s scale parameter for this distribution
92 return 0.5 + (FastMath.atan((x - median) / scale) / FastMath.PI);
104 * Access the scale parameter.
105 * @return scale paramete
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/external/apache-commons-math/src/main/java/org/apache/commons/math/optimization/
H A DLeastSquaresConverter.java70 private final RealMatrix scale; field in class:LeastSquaresConverter
81 this.scale = null;
123 this.scale = null;
130 * objective = y<sup>T</sup>y with y = scale&times;(observation-objective)
140 * @param scale scaling matrix
141 * @exception IllegalArgumentException if the observations vector and the scale
146 final double[] observations, final RealMatrix scale)
148 if (observations.length != scale.getColumnDimension()) {
151 observations.length, scale.getColumnDimension());
156 this.scale
145 LeastSquaresConverter(final MultivariateVectorialFunction function, final double[] observations, final RealMatrix scale) argument
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/external/tensorflow/tensorflow/python/ops/distributions/
H A Dnormal.py46 """The Normal distribution with location `loc` and `scale` parameters.
57 where `loc = mu` is the mean, `scale = sigma` is the std. deviation, and, `Z`
60 The Normal distribution is a member of the [location-scale family](
65 X ~ Normal(loc=0, scale=1)
66 Y = loc + scale * X
75 dist = tf.distributions.Normal(loc=0., scale=3.)
82 dist = tf.distributions.Normal(loc=[1, 2.], scale=[11, 22.])
97 dist = tf.distributions.Normal(loc=1., scale=[11, 22.])
108 scale,
112 """Construct Normal distributions with mean and stddev `loc` and `scale`
162 def scale(self): member in class:Normal
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/external/pdfium/core/fxcrt/
H A Dfx_string.cpp169 int scale = 0; local
173 value += FractionalScale(scale, FXSYS_DecimalCharToInt(strc.CharAt(cc)));
174 scale++;
175 if (scale == FX_ArraySize(fraction_scales))
198 int scale = 1; local
201 if (scale == 1000000) {
204 scale *= 10;
205 scaled = FXSYS_round(d * scale);
215 int i = scaled / scale;
220 int fraction = scaled % scale;
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/external/tensorflow/tensorflow/contrib/distributions/python/kernel_tests/bijectors/
H A Dgumbel_test.py36 scale = 5.
37 bijector = Gumbel(loc=loc, scale=scale, event_ndims=1, validate_args=True)
41 gumbel_dist = stats.gumbel_r(loc=loc, scale=scale)
59 Gumbel(loc=0.3, scale=20.), lower_x=1., upper_x=100., rtol=0.02)
63 bijector = Gumbel(loc=0., scale=3.0, event_ndims=0, validate_args=True)
H A Dweibull_test.py35 scale = 5.
38 scale=scale, concentration=concentration,
43 weibull_dist = stats.frechet_r(c=concentration, scale=scale)
61 Weibull(scale=20., concentration=0.3),
67 scale=20., concentration=2., event_ndims=0, validate_args=True)
/external/tensorflow/tensorflow/python/kernel_tests/distributions/
H A Dlaplace_test.py51 scale = constant_op.constant(11.0)
52 laplace = laplace_lib.Laplace(loc=loc, scale=scale)
63 scale = constant_op.constant([3.0] * batch_size)
67 laplace = laplace_lib.Laplace(loc=loc, scale=scale)
72 expected_log_pdf = stats.laplace.logpdf(x, loc_v, scale=scale_v)
83 scale = constant_op.constant([[3.0, 4.0]] * batch_size)
87 laplace = laplace_lib.Laplace(loc=loc, scale=scale)
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/external/tensorflow/tensorflow/contrib/distributions/python/ops/bijectors/
H A Dgumbel.py34 """Compute `Y = g(X) = exp(-exp(-(X - loc) / scale))`.
42 Y ~ Gumbel(loc, scale)
43 pdf(y; loc, scale) = exp(
44 -( (y - loc) / scale + exp(- (y - loc) / scale) ) ) / scale
50 scale=1.,
58 broadcastable with `scale`.
59 This is `loc` in `Y = g(X) = exp(-exp(-(X - loc) / scale))`.
60 scale
91 def scale(self): member in class:Gumbel
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/external/skia/bench/
H A DColorPrivBench.cpp53 // depends on scale. Even here, these must be volatile arrays to prevent that
58 const unsigned scale = fScales[j]; variable
61 junk ^= SkFastFourByteInterp(src, dst, scale);
63 junk ^= SkFastFourByteInterp256(src, dst, scale);
65 junk ^= SkFourByteInterp(src, dst, scale);
67 junk ^= SkFourByteInterp256(src, dst, scale);
/external/skqp/bench/
H A DColorPrivBench.cpp53 // depends on scale. Even here, these must be volatile arrays to prevent that
58 const unsigned scale = fScales[j]; variable
61 junk ^= SkFastFourByteInterp(src, dst, scale);
63 junk ^= SkFastFourByteInterp256(src, dst, scale);
65 junk ^= SkFourByteInterp(src, dst, scale);
67 junk ^= SkFourByteInterp256(src, dst, scale);

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