/external/guava/android/guava-tests/benchmark/com/google/common/math/ |
D | StatsBenchmark.java | 74 private final double variance; field in StatsBenchmark.MeanAndVariance 76 MeanAndVariance(double mean, double variance) { in MeanAndVariance() 90 MeanAndVariance variance(double[] values, MeanAlgorithm meanAlgorithm) { in variance() method 96 MeanAndVariance variance(double[] values, MeanAlgorithm meanAlgorithm) { in variance() method 108 MeanAndVariance variance(double[] values, MeanAlgorithm meanAlgorithm) { in variance() method 125 MeanAndVariance variance(double[] values, MeanAlgorithm meanAlgorithm) { in variance() method 140 abstract MeanAndVariance variance(double[] values, MeanAlgorithm meanAlgorithm); in variance() method in StatsBenchmark.VarianceAlgorithm
|
/external/guava/guava-tests/benchmark/com/google/common/math/ |
D | StatsBenchmark.java | 74 private final double variance; field in StatsBenchmark.MeanAndVariance 76 MeanAndVariance(double mean, double variance) { in MeanAndVariance() 90 MeanAndVariance variance(double[] values, MeanAlgorithm meanAlgorithm) { in variance() method 96 MeanAndVariance variance(double[] values, MeanAlgorithm meanAlgorithm) { in variance() method 108 MeanAndVariance variance(double[] values, MeanAlgorithm meanAlgorithm) { in variance() method 125 MeanAndVariance variance(double[] values, MeanAlgorithm meanAlgorithm) { in variance() method 140 abstract MeanAndVariance variance(double[] values, MeanAlgorithm meanAlgorithm); in variance() method in StatsBenchmark.VarianceAlgorithm
|
/external/tensorflow/tensorflow/python/ops/ |
D | batch_norm_benchmark.py | 40 def batch_norm_op(tensor, mean, variance, beta, gamma, scale): argument 55 def batch_norm_py(tensor, mean, variance, beta, gamma, scale): argument 61 def batch_norm_slow(tensor, mean, variance, beta, gamma, scale): argument
|
/external/apache-commons-math/src/main/java/org/apache/commons/math/stat/descriptive/ |
D | StatisticalSummaryValues.java | 39 private final double variance; field in StatisticalSummaryValues 63 public StatisticalSummaryValues(double mean, double variance, long n, in StatisticalSummaryValues()
|
/external/apache-commons-math/src/main/java/org/apache/commons/math/stat/ |
D | StatUtils.java | 315 public static double variance(final double[] values) { in variance() method in StatUtils 339 public static double variance(final double[] values, final int begin, in variance() method in StatUtils 370 public static double variance(final double[] values, final double mean, in variance() method in StatUtils 397 public static double variance(final double[] values, final double mean) { in variance() method in StatUtils
|
/external/apache-commons-math/src/main/java/org/apache/commons/math/stat/descriptive/moment/ |
D | Kurtosis.java | 111 double variance = moment.m2 / (moment.n - 1); in getResult() local 171 Variance variance = new Variance(); in evaluate() local
|
D | Skewness.java | 107 double variance = moment.m2 / (moment.n - 1); in getResult() local 172 final double variance = (accum - (accum2 * accum2 / length)) / (length - 1); in evaluate() local
|
/external/tensorflow/tensorflow/core/kernels/mkl/ |
D | mkl_fused_batch_norm_op_test.cc | 101 Tensor variance(dtype, {depth}); in VerifyTensorsClose() local 155 Tensor variance(dtype, {out_channels}); in VerifyTensorsCloseForGrad() local 232 Tensor* batch_mean, Tensor* batch_var) { in VerifyFusedBatchNorm() 278 Tensor* batch_mean, Tensor* batch_var) { in VerifyFusedBatchNorm() 356 const float epsilon) { in VerifyFusedBatchNormGradWithConv2D() 417 const float epsilon) { in VerifyFusedBatchNormGradWithConv2D()
|
/external/autotest/server/tests/netpipe/ |
D | netpipe.py | 7 def run_once(self, pair, buffer, upper_bound, variance): argument
|
/external/webrtc/third_party/abseil-cpp/absl/random/internal/ |
D | chi_square.cc | 125 const double variance = 2.0 / (9 * dof); in ChiSquareValue() local 172 const double variance = 2.0 / (9 * dof); in ChiSquarePValue() local
|
D | distribution_test_util.h | 40 double variance = 0.0; member
|
/external/libtextclassifier/abseil-cpp/absl/random/internal/ |
D | chi_square.cc | 125 const double variance = 2.0 / (9 * dof); in ChiSquareValue() local 172 const double variance = 2.0 / (9 * dof); in ChiSquarePValue() local
|
D | distribution_test_util.h | 40 double variance = 0.0; member
|
/external/abseil-cpp/absl/random/internal/ |
D | chi_square.cc | 125 const double variance = 2.0 / (9 * dof); in ChiSquareValue() local 172 const double variance = 2.0 / (9 * dof); in ChiSquarePValue() local
|
D | distribution_test_util.h | 40 double variance = 0.0; member
|
/external/tensorflow/tensorflow/compiler/xla/service/gpu/ |
D | cudnn_batchnorm_thunk.cc | 38 const BufferAllocation::Slice& variance, in CudnnBatchNormForwardInferenceThunk() 58 se::DeviceMemory<float> variance( in ExecuteOnStream() local
|
/external/rust/crates/grpcio-sys/grpc/third_party/abseil-cpp/absl/random/internal/ |
D | chi_square.cc | 125 const double variance = 2.0 / (9 * dof); in ChiSquareValue() local 172 const double variance = 2.0 / (9 * dof); in ChiSquarePValue() local
|
D | distribution_test_util.h | 40 double variance = 0.0; member
|
/external/openscreen/third_party/abseil/src/absl/random/internal/ |
D | chi_square.cc | 125 const double variance = 2.0 / (9 * dof); in ChiSquareValue() local 172 const double variance = 2.0 / (9 * dof); in ChiSquarePValue() local
|
D | distribution_test_util.h | 40 double variance = 0.0; member
|
/external/angle/third_party/abseil-cpp/absl/random/internal/ |
D | chi_square.cc | 125 const double variance = 2.0 / (9 * dof); in ChiSquareValue() local 173 const double variance = 2.0 / (9 * dof); in ChiSquarePValue() local
|
D | distribution_test_util.h | 40 double variance = 0.0; member
|
/external/ComputeLibrary/tests/framework/instruments/ |
D | InstrumentsStats.cpp | 57 auto variance = sq_sum / measurements.size(); in InstrumentsStats() local
|
/external/webrtc/video/ |
D | quality_threshold.cc | 87 double variance = 0; in CalculateVariance() local
|
/external/tensorflow/tensorflow/core/kernels/ |
D | quantized_instance_norm.cc | 42 const uint32_t cols, float* mean, float* variance) { in ColMeanAndVariance() 150 const float32x4_t variance[4] = {vld1q_f32(variance_ptr + col_offset), in MinAndMax() local 207 const float32x4_t variance[4] = {vld1q_f32(variance_ptr + col_offset + 12), in InstanceNorm() local
|