/external/fio/lib/ |
H A D | gauss.h | 10 unsigned int stddev; member in struct:gauss_state
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/external/antlr/antlr-3.4/runtime/Java/src/main/java/org/antlr/runtime/misc/ |
H A D | Stats.java | 55 public static double stddev(int[] X) { method in class:Stats
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/external/tensorflow/tensorflow/stream_executor/ |
H A D | rng.h | 65 virtual bool DoPopulateRandGaussian(Stream *stream, float mean, float stddev, argument 72 double stddev, DeviceMemory<double> *v) { 71 DoPopulateRandGaussian(Stream *stream, double mean, double stddev, DeviceMemory<double> *v) argument
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/external/tensorflow/tensorflow/compiler/tf2xla/kernels/ |
H A D | random_ops.cc | 135 xla::ComputationDataHandle stddev = XlaHelpers::One(b, dtype); variable 137 b->RngNormal(mean, stddev, xla_shape); 173 xla::ComputationDataHandle stddev = XlaHelpers::One(b, dtype); variable 174 b->Select(to_resample, b->RngNormal(mean, stddev, xla_shape), candidate);
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/external/flac/libFLAC/ |
H A D | window.c | 115 void FLAC__window_gauss(FLAC__real *window, const FLAC__int32 L, const FLAC__real stddev) argument 122 const double k = ((double)n - N2) / (stddev * N2);
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/external/tensorflow/tensorflow/compiler/xla/tests/ |
H A D | literal_test_util.h | 219 // values using a normal distribution with given mean and stddev standard 226 const Shape& shape, E* engine, T mean, T stddev); 229 // values using a normal distribution with given mean and stddev standard 236 const Shape& shape, T mean, T stddev); 364 T stddev) { 366 std::normal_distribution<NativeT> generator(mean, stddev); 375 LiteralTestUtil::CreateRandomLiteral(const Shape& shape, T mean, T stddev) { argument 377 return CreateRandomLiteral<type>(shape, &engine, mean, stddev); 363 CreateRandomLiteral(const Shape& shape, E* engine, T mean, T stddev) argument
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/external/tensorflow/tensorflow/stream_executor/cuda/ |
H A D | cuda_rng.cc | 210 ElemT stddev, 221 func(parent_, rng_, CUDAMemoryMutable(v), element_count, mean, stddev); 232 bool CUDARng::DoPopulateRandGaussian(Stream *stream, float mean, float stddev, argument 234 return DoPopulateRandGaussianInternal(stream, mean, stddev, v, 238 bool CUDARng::DoPopulateRandGaussian(Stream *stream, double mean, double stddev, argument 240 return DoPopulateRandGaussianInternal(stream, mean, stddev, v, 209 DoPopulateRandGaussianInternal(Stream *stream, ElemT mean, ElemT stddev, DeviceMemory<ElemT> *v, FuncT func) argument
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/external/flac/libFLAC/include/protected/ |
H A D | stream_encoder.h | 71 FLAC__real stddev; member in struct:__anon7272::__anon7273::__anon7274
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/external/mesa3d/src/gallium/auxiliary/util/ |
H A D | u_cache.c | 296 double stddev = sqrt(mean); local 299 double z = fabs(cache->entries[i].count - mean)/stddev;
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/external/tensorflow/tensorflow/core/kernels/ |
H A D | 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;
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/external/tensorflow/tensorflow/python/kernel_tests/ |
H A D | 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, minva [all...] |
/external/harfbuzz_ng/test/shaping/ |
H A D | hb_test_tools.py | 265 def stddev (self): member in class:Stats 276 return (self.mean () - population.mean ()) / population.stddev ()
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/external/skia/tools/skpbench/ |
H A D | skpbench.cpp | 55 " accum median max min stddev samples sample_ms clock metric config bench"; 216 const double stddev = 100/*%*/ * sqrt(variance) / accumValue; local 219 stddev, values.size(), FLAGS_sampleMs, FLAGS_gpuClock ? "gpu" : "cpu", Sample::metric(),
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/external/skqp/tools/skpbench/ |
H A D | skpbench.cpp | 55 " accum median max min stddev samples sample_ms clock metric config bench"; 216 const double stddev = 100/*%*/ * sqrt(variance) / accumValue; local 219 stddev, values.size(), FLAGS_sampleMs, FLAGS_gpuClock ? "gpu" : "cpu", Sample::metric(),
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/external/tensorflow/tensorflow/examples/tutorials/word2vec/ |
H A D | word2vec_basic.py | 200 stddev=1.0 / math.sqrt(embedding_size))) variable
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/external/tensorflow/tensorflow/python/ops/distributions/ |
H A D | distribution.py | 64 "stddev", 966 raise NotImplementedError("stddev is not implemented") 968 def stddev(self, name="stddev"): member in class:Distribution 974 stddev = E[(X - E[X])**2]**0.5 978 denotes expectation, and `stddev.shape = batch_shape + event_shape`. 984 stddev: Floating-point `Tensor` with shape identical to
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/external/webrtc/webrtc/base/ |
H A D | virtualsocket_unittest.cc | 634 const uint32_t stddev = 50; local 637 ss_->set_delay_stddev(stddev); 693 const uint32_t stddev = 500; local 696 ss_->set_delay_stddev(stddev); 724 LOG(LS_VERBOSE) << "mean=" << sample_mean << " stddev=" << sample_stddev; 730 EXPECT_NEAR(stddev, sample_stddev, 0.15 * stddev); 1047 const double stddev = sqrt(sum_sq_dev / f->size()); local 1052 EXPECT_NEAR(kStdDev, stddev, 0.1 * kStdDev)
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H A D | virtualsocketserver.cc | 959 static double Normal(double x, double mean, double stddev) { argument 960 double a = (x - mean) * (x - mean) / (2 * stddev * stddev); 961 return exp(-a) / (stddev * sqrt(2 * PI)); 975 uint32_t stddev, 979 if (0 == stddev) { 983 if (mean >= 4 * static_cast<double>(stddev)) 984 start = mean - 4 * static_cast<double>(stddev); 985 double end = mean + 4 * static_cast<double>(stddev); 989 double y = Normal(x, mean, stddev); 973 CreateDistribution( uint32_t mean, uint32_t stddev, uint32_t samples) argument [all...] |
/external/antlr/antlr-3.4/lib/ |
H A D | antlr-3.4-complete.jar | META-INF/ META-INF/MANIFEST.MF org/ org/antlr/ org/antlr/analysis/ org/antlr/codegen/ org/ ... |