| /frameworks/av/media/libcpustats/ |
| CentralTendencyStatistics.cpp | 70 double CentralTendencyStatistics::stddev() const function in class:CentralTendencyStatistics
72 double stddev; local
74 stddev = sqrt(variance());
75 mStddev = stddev;
78 stddev = mStddev;
80 return stddev;
|
| /external/libcxx/test/std/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.normal/ |
| ctor_double_double.pass.cpp | 15 // explicit normal_distribution(result_type mean = 0, result_type stddev = 1);
26 assert(d.stddev() == 1);
32 assert(d.stddev() == 1);
38 assert(d.stddev() == 5.25);
|
| param_ctor.pass.cpp | 28 assert(p.stddev() == 1);
35 assert(p.stddev() == 1);
42 assert(p.stddev() == 5);
|
| ctor_param.pass.cpp | 28 assert(d.stddev() == 10);
|
| param_assign.pass.cpp | 30 assert(p.stddev() == 6);
|
| param_copy.pass.cpp | 29 assert(p.stddev() == .125);
|
| /prebuilts/ndk/r16/sources/cxx-stl/llvm-libc++/test/std/numerics/rand/rand.dis/rand.dist.norm/rand.dist.norm.normal/ |
| ctor_double_double.pass.cpp | 15 // explicit normal_distribution(result_type mean = 0, result_type stddev = 1);
26 assert(d.stddev() == 1);
32 assert(d.stddev() == 1);
38 assert(d.stddev() == 5.25);
|
| param_ctor.pass.cpp | 28 assert(p.stddev() == 1);
35 assert(p.stddev() == 1);
42 assert(p.stddev() == 5);
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| ctor_param.pass.cpp | 28 assert(d.stddev() == 10);
|
| param_assign.pass.cpp | 30 assert(p.stddev() == 6);
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| param_copy.pass.cpp | 29 assert(p.stddev() == .125);
|
| /external/fio/lib/ |
| gauss.c | 14 if (!gs->stddev)
18 vr = gs->stddev * (r / (FRAND32_MAX + 1.0));
20 return vr - gs->stddev / 2;
33 if (gs->stddev) {
55 gs->stddev = ceil((double) (nranges * 100.0) / dev);
56 if (gs->stddev > nranges / 2)
57 gs->stddev = nranges / 2;
|
| gauss.h | 10 unsigned int stddev; member in struct:gauss_state
|
| /test/suite_harness/common/util/tests/src/com/android/compatibility/common/util/ |
| StatTest.java | 72 double stddev = Stat.getStat(values).mStddev; local
73 assertEquals(Math.sqrt(2.5), stddev, 0.00001);
76 stddev = Stat.getStat(values).mStddev;
77 assertEquals(Math.sqrt(2.5), stddev, 0.00001);
80 stddev = Stat.getStat(values).mStddev;
81 assertEquals(Math.sqrt(10.0), stddev, 0.00001);
|
| /external/tensorflow/tensorflow/stream_executor/ |
| rng.h | 65 virtual bool DoPopulateRandGaussian(Stream *stream, float mean, float stddev,
72 double stddev, DeviceMemory<double> *v) {
|
| /external/tensorflow/tensorflow/contrib/kernel_methods/python/mappers/ |
| random_fourier_features_test.py | 49 def _compute_exact_rbf_kernel(x, y, stddev):
50 """Computes exact RBF kernel given input tensors x and y and stddev."""
53 return math_ops.exp(-diff_squared_norm / (2 * stddev * stddev))
94 stddev = 3.0
99 rffm1 = RandomFourierFeatureMapper(3, 100, stddev)
100 rffm2 = RandomFourierFeatureMapper(3, 100, stddev)
114 stddev = 3.0
119 rffm = RandomFourierFeatureMapper(3, 100, stddev, seed=0)
122 exact_kernel_value = _compute_exact_rbf_kernel(x, y, stddev)
[all...] |
| /external/tensorflow/tensorflow/stream_executor/cuda/ |
| cuda_rng.h | 64 bool DoPopulateRandGaussian(Stream *stream, float mean, float stddev,
66 bool DoPopulateRandGaussian(Stream *stream, double mean, double stddev,
77 bool DoPopulateRandGaussianInternal(Stream *stream, ElemT mean, ElemT stddev,
|
| /libcore/support/src/test/java/tests/util/ |
| SummaryStatistics.java | 63 public double stddev() { method in class:SummaryStatistics
69 return stddev() / mean();
80 sb.append(",stddev=");
81 sb.append(stddev()); method
|
| /external/tensorflow/tensorflow/python/kernel_tests/ |
| parameterized_truncated_normal_op_test.py | 41 stddev = None variable in class:TruncatedNormalMoments
45 def __init__(self, mean, stddev, minval, maxval):
48 self.stddev = np.double(stddev)
69 dist = scipy.stats.norm(loc=self.mean, scale=self.stddev)
76 m = ((k - 1) * self.stddev**2 * m_k_minus_2 + self.mean * m_k_minus_1 -
77 self.stddev * numerator / denominator)
112 def validateMoments(self, shape, mean, stddev, minval, maxval, seed=1618):
119 samples = random_ops.parameterized_truncated_normal(shape, mean, stddev,
124 expected_moments = TruncatedNormalMoments(mean, stddev, minval, maxval
[all...] |
| /frameworks/av/media/libcpustats/include/cpustats/ |
| CentralTendencyStatistics.h | 49 double stddev() const;
|
| /external/tensorflow/tensorflow/python/keras/_impl/keras/layers/ |
| noise.py | 41 stddev: float, standard deviation of the noise distribution.
52 def __init__(self, stddev, **kwargs):
55 self.stddev = stddev
61 shape=K.shape(inputs), mean=0., stddev=self.stddev)
66 config = {'stddev': self.stddev}
105 stddev = np.sqrt(self.rate / (1.0 - self.rate))
107 shape=K.shape(inputs), mean=1.0, stddev=stddev
[all...] |
| /external/tensorflow/tensorflow/python/profiler/internal/ |
| model_analyzer_testlib.py | 44 initializer=init_ops.random_normal_initializer(stddev=0.001))
48 initializer=init_ops.random_normal_initializer(stddev=0.001))
53 initializer=init_ops.random_normal_initializer(stddev=0.001))
82 initializer=init_ops.random_normal_initializer(stddev=0.001))
88 initializer=init_ops.random_normal_initializer(stddev=0.001))
|
| /external/tensorflow/tensorflow/contrib/tensor_forest/hybrid/python/layers/ |
| decisions_to_data.py | 44 mean=params.weight_init_mean, stddev=params.weight_init_std))
50 mean=params.weight_init_mean, stddev=params.weight_init_std))
85 mean=params.weight_init_mean, stddev=params.weight_init_std))
91 mean=params.weight_init_mean, stddev=params.weight_init_std))
130 mean=params.weight_init_mean, stddev=params.weight_init_std))
136 mean=params.weight_init_mean, stddev=params.weight_init_std))
168 mean=params.weight_init_mean, stddev=params.weight_init_std))
174 mean=params.weight_init_mean, stddev=params.weight_init_std))
220 mean=params.weight_init_mean, stddev=params.weight_init_std))
226 mean=params.weight_init_mean, stddev=params.weight_init_std)
[all...] |
| /external/tensorflow/tensorflow/examples/speech_commands/ |
| models.py | 156 tf.truncated_normal([fingerprint_size, label_count], stddev=0.001))
225 stddev=0.01))
244 stddev=0.01))
264 [second_conv_element_count, label_count], stddev=0.01))
333 stddev=0.01))
356 [first_conv_element_count, first_fc_output_channels], stddev=0.01))
366 [first_fc_output_channels, second_fc_output_channels], stddev=0.01))
376 [second_fc_output_channels, label_count], stddev=0.01))
487 tf.truncated_normal([input_frequency_size, num_filters], stddev=0.01))
510 tf.truncated_normal([num_filters, input_time_size], stddev=0.01)
[all...] |
| /external/tensorflow/tensorflow/core/kernels/ |
| parameterized_truncated_normal_op_gpu.cu.cc | 86 T stddev; local
93 stddev = -input_stddev;
95 stddev = input_stddev;
99 const T normMin = (minval - mean) / stddev;
100 const T normMax = (maxval - mean) / stddev;
150 data[offset] = z[i] * stddev + mean;
175 data[offset] = z * stddev + mean;
|
