| /external/tensorflow/tensorflow/core/kernels/ |
| random_op.h | 28 template <typename Device, class Distribution>
37 template <class Distribution>
38 struct FillPhiloxRandom<CPUDevice, Distribution> {
41 typename Distribution::ResultElementType* data, int64 size,
42 Distribution dist);
48 template <class Distribution>
49 struct FillPhiloxRandom<GPUDevice, Distribution> {
52 typename Distribution::ResultElementType* data, int64 size,
53 Distribution dist);
60 template <class Distribution>
[all...] |
| stateful_random_ops_gpu.cu.cc | 30 template <typename Distribution>
32 Distribution dist, int64 state_size, int64 output_size,
34 typename Distribution::ResultElementType* output_data) {
43 functor::FillPhiloxRandomKernel<Distribution,
44 Distribution::kVariableSamplesPerOutput>()
54 template <typename Distribution>
55 void UpdateVariableAndFill_Philox<GPUDevice, Distribution>::operator()(
58 typename Distribution::ResultElementType* output_data) {
70 const int kGroupSize = Distribution::kResultElementCount;
73 FillKernel<Distribution>, 0, 0)
[all...] |
| random_op_gpu.cu.cc | 41 template <class Distribution>
44 typename Distribution::ResultElementType* data,
45 int64 size, Distribution dist) {
46 FillPhiloxRandomKernel<Distribution,
47 Distribution::kVariableSamplesPerOutput>()
52 template <class Distribution>
53 void FillPhiloxRandom<GPUDevice, Distribution>::operator()(
55 typename Distribution::ResultElementType* data, int64 size,
56 Distribution dist) {
62 TF_CHECK_OK(CudaLaunchKernel(FillPhiloxRandomKernelLaunch<Distribution>,
[all...] |
| random_op_gpu.h | 28 template <class Distribution, bool VariableSamplesPerOutput>
31 template <class Distribution>
32 struct FillPhiloxRandomKernel<Distribution, false> {
33 typedef typename Distribution::ResultElementType T;
35 Distribution dist);
38 template <class Distribution>
39 struct FillPhiloxRandomKernel<Distribution, true> {
40 typedef typename Distribution::ResultElementType T;
42 int64 size, Distribution dist);
129 // distribution. Each output takes a fixed number of samples
[all...] |
| stateful_random_ops.cc | 25 template <typename Distribution>
26 struct UpdateVariableAndFill_Philox<CPUDevice, Distribution> {
30 typename Distribution::ResultElementType* output_data) {
38 functor::FillPhiloxRandom<CPUDevice, Distribution>()(
39 ctx, device, philox, output_data, output_size, Distribution());
43 template <typename Device, typename Distribution>
47 typename Distribution::ResultElementType* output_data) {
91 UpdateVariableAndFill_Philox<Device, Distribution>()(
101 template <typename Device, class Distribution>
104 using T = typename Distribution::ResultElementType
[all...] |
| random_op.cc | 62 template <typename Device, class Distribution>
64 typedef typename Distribution::ResultElementType T;
66 T* data, int64 size, Distribution dist) {
72 template <class Distribution, bool VariableSamplesPerOutput>
75 // Specialization for distribution that takes a fixed number of samples for
77 template <class Distribution>
78 struct FillPhiloxRandomTask<Distribution, false> {
79 typedef typename Distribution::ResultElementType T;
81 int64 start_group, int64 limit_group, Distribution dist) {
82 const int kGroupSize = Distribution::kResultElementCount
[all...] |
| stateful_random_ops_cpu_gpu.h | 77 template <typename Device, typename Distribution>
87 template <typename Distribution>
88 struct UpdateVariableAndFill_Philox<GPUDevice, Distribution> {
92 typename Distribution::ResultElementType* output_data);
|
| /external/apache-commons-math/src/main/java/org/apache/commons/math/distribution/ |
| DiscreteDistribution.java | 17 package org.apache.commons.math.distribution;
25 public interface DiscreteDistribution extends Distribution {
28 * to this distribution, this method returns P(X = x). In other words, this
29 * method represents the probability mass function, or PMF for the distribution.
|
| ContinuousDistribution.java | 17 package org.apache.commons.math.distribution;
28 * 2.1, all continuous distribution implementations included in commons-math
33 public interface ContinuousDistribution extends Distribution {
36 * For this distribution, X, this method returns x such that P(X < x) = p.
|
| Distribution.java | 17 package org.apache.commons.math.distribution;
26 public interface Distribution {
29 * to this distribution, this method returns P(X ≤ x). In other words,
30 * this method represents the (cumulative) distribution function, or
31 * CDF, for this distribution.
33 * @param x the value at which the distribution function is evaluated.
35 * distribution takes a value less than or equal to <code>x</code>
43 * to this distribution, this method returns P(x0 ≤ X ≤ x1).
47 * @return the probability that a random variable with this distribution
|
| /external/tensorflow/tensorflow/core/lib/random/ |
| philox_random_test_utils.h | 32 // distribution.
33 template <class Distribution>
34 void FillRandoms(PhiloxRandom gen, typename Distribution::ResultElementType* p,
36 const int granularity = Distribution::kResultElementCount;
41 Distribution dist;
|
| /external/python/setuptools/setuptools/tests/ |
| test_build_py.py | 5 from setuptools.dist import Distribution
21 dist = Distribution(dict(
|
| test_build_ext.py | 8 from setuptools.dist import Distribution
19 dist = Distribution()
34 dist = Distribution(dict(ext_modules=[extension]))
|
| /external/opencensus-java/api/src/test/java/io/opencensus/stats/ |
| AggregationTest.java | 24 import io.opencensus.stats.Aggregation.Distribution;
46 Distribution distribution = Distribution.create(bucketBoundaries); local
47 assertThat(distribution.getBucketBoundaries()).isEqualTo(bucketBoundaries);
54 Distribution.create(null);
63 Distribution.create(BucketBoundaries.create(Arrays.asList(-10.0, 1.0, 5.0))),
64 Distribution.create(BucketBoundaries.create(Arrays.asList(-10.0, 1.0, 5.0))))
66 Distribution.create(BucketBoundaries.create(Arrays.asList(0.0, 1.0, 5.0))),
67 Distribution.create(BucketBoundaries.create(Arrays.asList(0.0, 1.0, 5.0)))
[all...] |
| /external/grpc-grpc/test/cpp/ext/filters/census/ |
| stats_plugin_end2end_test.cc | 39 using ::opencensus::stats::Distribution;
199 ::testing::AllOf(::testing::Property(&Distribution::count, 1),
200 ::testing::Property(&Distribution::mean,
205 ::testing::AllOf(::testing::Property(&Distribution::count, 1),
206 ::testing::Property(&Distribution::mean,
211 ::testing::AllOf(::testing::Property(&Distribution::count, 1),
212 ::testing::Property(&Distribution::mean,
217 ::testing::AllOf(::testing::Property(&Distribution::count, 1),
218 ::testing::Property(&Distribution::mean,
249 ::testing::Property(&Distribution::count, 1)
[all...] |
| /external/opencensus-java/api/src/main/java/io/opencensus/stats/ |
| Aggregation.java | 33 * <li>Distribution
55 Function<? super Distribution, T> p2,
86 Function<? super Distribution, T> p2,
120 Function<? super Distribution, T> p2,
131 * @deprecated since 0.13, use {@link Distribution} instead.
157 Function<? super Distribution, T> p2,
165 * Calculate distribution stats on aggregated {@code MeasureValue}s. Distribution includes mean,
172 public abstract static class Distribution extends Aggregation {
174 Distribution() {}
[all...] |
| /external/opencensus-java/api/src/main/java/io/opencensus/metrics/export/ |
| Value.java | 32 * <li>{@link Distribution}
68 * Returns a {@link Distribution} {@link Value}.
70 * @param value value in {@link Distribution}.
71 * @return a {@code Distribution} {@code Value}.
74 public static Value distributionValue(Distribution value) {
97 Function<? super Distribution, T> distributionFunction,
112 Function<? super Distribution, T> distributionFunction,
147 Function<? super Distribution, T> distributionFunction,
173 * contains a histogram representing the distribution of those values across a set of buckets.
185 Function<? super Distribution, T> distributionFunction
[all...] |
| /external/python/cpython2/Lib/distutils/tests/ |
| test_dist.py | 11 from distutils.dist import Distribution, fix_help_options
30 class TestDistribution(Distribution):
31 """Distribution subclasses that avoids the default search for
136 klass = Distribution
171 dist = Distribution(attrs={'author': 'xxx', 'name': 'xxx',
182 dist = Distribution(attrs=attrs)
190 dist = Distribution()
203 dist = Distribution()
225 d = distutils.dist.Distribution()
228 d = distutils.dist.Distribution(attrs={'script_args'
[all...] |
| test_install_scripts.py | 7 from distutils.core import Distribution
18 dist = Distribution()
62 dist = Distribution()
|
| /external/python/cpython3/Lib/distutils/tests/ |
| test_dist.py | 11 from distutils.dist import Distribution, fix_help_options, DistributionMetadata
32 class TestDistribution(Distribution):
33 """Distribution subclasses that avoids the default search for
182 dist = Distribution(attrs={'author': 'xxx', 'name': 'xxx',
193 dist = Distribution(attrs=attrs)
202 dist = Distribution(attrs=attrs)
208 dist = Distribution()
221 dist = Distribution()
244 d = Distribution()
247 d = Distribution(attrs={'script_args': ['--no-user-cfg']}
[all...] |
| /device/linaro/bootloader/edk2/AppPkg/Applications/Python/Python-2.7.2/Lib/distutils/tests/ |
| test_dist.py | 11 from distutils.dist import Distribution, fix_help_options, DistributionMetadata
28 class TestDistribution(Distribution):
29 """Distribution subclasses that avoids the default search for
133 klass = Distribution
160 klass = Distribution
185 dist = Distribution(attrs=attrs)
193 dist = Distribution()
207 dist = Distribution()
229 d = distutils.dist.Distribution()
232 d = distutils.dist.Distribution(attrs={'script_args':
[all...] |
| test_install_scripts.py | 7 from distutils.core import Distribution
18 dist = Distribution()
62 dist = Distribution()
|
| /external/opencensus-java/api/src/test/java/io/opencensus/metrics/export/ |
| DistributionTest.java | 25 import io.opencensus.metrics.export.Distribution.Bucket;
26 import io.opencensus.metrics.export.Distribution.BucketOptions;
27 import io.opencensus.metrics.export.Distribution.BucketOptions.ExplicitOptions;
28 import io.opencensus.metrics.export.Distribution.Exemplar;
40 /** Unit tests for {@link Distribution}. */
154 Distribution distribution = Distribution.create(10, 6.6, 678.54, bucketOptions, buckets); local
155 assertThat(distribution.getCount()).isEqualTo(10);
156 assertThat(distribution.getSum()).isWithin(TOLERANCE).of(6.6)
[all...] |
| PointTest.java | 23 import io.opencensus.metrics.export.Distribution.Bucket;
24 import io.opencensus.metrics.export.Distribution.BucketOptions;
38 Distribution.create(
|
| /external/python/setuptools/setuptools/ |
| build_meta.py | 44 class Distribution(setuptools.dist.Distribution):
53 distutils.dist.Distribution with this class
56 orig = distutils.core.Distribution
57 distutils.core.Distribution = cls
61 distutils.core.Distribution = orig
88 with Distribution.patch():
|
