/external/webrtc/rtc_base/numerics/ |
D | running_statistics.h | 55 const double delta = sample - mean_; in AddSample() 56 mean_ += delta / size_; in AddSample() 57 const double delta2 = sample - mean_; in AddSample() 73 const double delta = sample - mean_; in RemoveSample() 74 mean_ -= delta / size_; in RemoveSample() 75 const double delta2 = sample - mean_; in RemoveSample() 88 (mean_ * size_ + other.mean_ * other.size_) / new_size; in MergeStatistics() 93 return stats.size_ * (new_mean * (new_mean - 2 * stats.mean_) + in MergeStatistics() 94 stats.mean_ * stats.mean_); in MergeStatistics() 97 mean_ = new_mean; in MergeStatistics() [all …]
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/external/webrtc/modules/audio_processing/echo_detector/ |
D | mean_variance_estimator.cc | 26 mean_ = (1.f - kAlpha) * mean_ + kAlpha * value; in Update() 28 (1.f - kAlpha) * variance_ + kAlpha * (value - mean_) * (value - mean_); in Update() 29 RTC_DCHECK(isfinite(mean_)); in Update() 39 return mean_; in mean() 43 mean_ = 0.f; in Clear()
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D | mean_variance_estimator.h | 26 float mean_ = 0.f;
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/external/abseil-cpp/absl/random/ |
D | poisson_distribution.h | 63 double mean() const { return mean_; } in mean() 66 return a.mean_ == b.mean_; 76 double mean_; variable 134 : mean_(mean), split_(0) { in param_type() 141 if (mean_ < 10) { in param_type() 144 emu_ = std::exp(-mean_); in param_type() 145 } else if (mean_ <= 50) { in param_type() 147 split_ = 1 + static_cast<int>(mean_ / 10.0); in param_type() 148 emu_ = std::exp(-mean_ / static_cast<double>(split_)); in param_type() 154 lmu_ = std::log(mean_); in param_type() [all …]
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D | gaussian_distribution.h | 96 : mean_(mean), stddev_(stddev) {} in mean_() function 100 result_type mean() const { return mean_; } in mean() 106 return a.mean_ == b.mean_ && a.stddev_ == b.stddev_; 114 result_type mean_;
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D | poisson_distribution_test.cc | 164 explicit PoissonModel(double mean) : mean_(mean) {} in PoissonModel() 166 double mean() const { return mean_; } in mean() 167 double variance() const { return mean_; } in variance() 169 double skew() const { return 1.0 / mean_; } in skew() 170 double kurtosis() const { return 3.0 + 1.0 / mean_; } in kurtosis() 190 ABSL_INTERNAL_LOG(INFO, absl::StrCat("CDF (mean = ", mean_, ")")); in LogCDF() 198 const double mean_; member in __anon3b9c9a850111::PoissonModel 214 ABSL_ASSERT(mean_ < 201.0); in InitCDF()
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/external/webrtc/third_party/abseil-cpp/absl/random/ |
D | poisson_distribution.h | 63 double mean() const { return mean_; } in mean() 66 return a.mean_ == b.mean_; 76 double mean_; variable 134 : mean_(mean), split_(0) { in param_type() 141 if (mean_ < 10) { in param_type() 144 emu_ = std::exp(-mean_); in param_type() 145 } else if (mean_ <= 50) { in param_type() 147 split_ = 1 + static_cast<int>(mean_ / 10.0); in param_type() 148 emu_ = std::exp(-mean_ / static_cast<double>(split_)); in param_type() 154 lmu_ = std::log(mean_); in param_type() [all …]
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D | gaussian_distribution.h | 96 : mean_(mean), stddev_(stddev) {} in mean_() function 100 result_type mean() const { return mean_; } in mean() 106 return a.mean_ == b.mean_ && a.stddev_ == b.stddev_; 114 result_type mean_;
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D | poisson_distribution_test.cc | 164 explicit PoissonModel(double mean) : mean_(mean) {} in PoissonModel() 166 double mean() const { return mean_; } in mean() 167 double variance() const { return mean_; } in variance() 169 double skew() const { return 1.0 / mean_; } in skew() 170 double kurtosis() const { return 3.0 + 1.0 / mean_; } in kurtosis() 190 ABSL_INTERNAL_LOG(INFO, absl::StrCat("CDF (mean = ", mean_, ")")); in LogCDF() 198 const double mean_; member in __anon7df3b2f40111::PoissonModel 214 ABSL_ASSERT(mean_ < 201.0); in InitCDF()
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/external/rust/crates/grpcio-sys/grpc/third_party/abseil-cpp/absl/random/ |
D | poisson_distribution.h | 63 double mean() const { return mean_; } in mean() 66 return a.mean_ == b.mean_; 76 double mean_; variable 134 : mean_(mean), split_(0) { in param_type() 141 if (mean_ < 10) { in param_type() 144 emu_ = std::exp(-mean_); in param_type() 145 } else if (mean_ <= 50) { in param_type() 147 split_ = 1 + static_cast<int>(mean_ / 10.0); in param_type() 148 emu_ = std::exp(-mean_ / static_cast<double>(split_)); in param_type() 154 lmu_ = std::log(mean_); in param_type() [all …]
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D | gaussian_distribution.h | 96 : mean_(mean), stddev_(stddev) {} in mean_() function 100 result_type mean() const { return mean_; } in mean() 106 return a.mean_ == b.mean_ && a.stddev_ == b.stddev_; 114 result_type mean_;
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D | poisson_distribution_test.cc | 165 explicit PoissonModel(double mean) : mean_(mean) {} in PoissonModel() 167 double mean() const { return mean_; } in mean() 168 double variance() const { return mean_; } in variance() 170 double skew() const { return 1.0 / mean_; } in skew() 171 double kurtosis() const { return 3.0 + 1.0 / mean_; } in kurtosis() 191 ABSL_INTERNAL_LOG(INFO, absl::StrCat("CDF (mean = ", mean_, ")")); in LogCDF() 199 const double mean_; member in __anonbd44bce60111::PoissonModel 215 ABSL_ASSERT(mean_ < 201.0); in InitCDF()
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/external/angle/third_party/abseil-cpp/absl/random/ |
D | poisson_distribution.h | 63 double mean() const { return mean_; } in mean() 66 return a.mean_ == b.mean_; 76 double mean_; variable 134 : mean_(mean), split_(0) { in param_type() 141 if (mean_ < 10) { in param_type() 144 emu_ = std::exp(-mean_); in param_type() 145 } else if (mean_ <= 50) { in param_type() 147 split_ = 1 + static_cast<int>(mean_ / 10.0); in param_type() 148 emu_ = std::exp(-mean_ / static_cast<double>(split_)); in param_type() 154 lmu_ = std::log(mean_); in param_type() [all …]
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D | gaussian_distribution.h | 96 : mean_(mean), stddev_(stddev) {} in mean_() function 100 result_type mean() const { return mean_; } in mean() 106 return a.mean_ == b.mean_ && a.stddev_ == b.stddev_; 114 result_type mean_;
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D | poisson_distribution_test.cc | 165 explicit PoissonModel(double mean) : mean_(mean) {} in PoissonModel() 167 double mean() const { return mean_; } in mean() 168 double variance() const { return mean_; } in variance() 170 double skew() const { return 1.0 / mean_; } in skew() 171 double kurtosis() const { return 3.0 + 1.0 / mean_; } in kurtosis() 191 ABSL_INTERNAL_LOG(INFO, absl::StrCat("CDF (mean = ", mean_, ")")); in LogCDF() 199 const double mean_; member in __anon6b4cbfd40111::PoissonModel 215 ABSL_ASSERT(mean_ < 201.0); in InitCDF()
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/external/libtextclassifier/abseil-cpp/absl/random/ |
D | poisson_distribution.h | 63 double mean() const { return mean_; } in mean() 66 return a.mean_ == b.mean_; 76 double mean_; variable 134 : mean_(mean), split_(0) { in param_type() 141 if (mean_ < 10) { in param_type() 144 emu_ = std::exp(-mean_); in param_type() 145 } else if (mean_ <= 50) { in param_type() 147 split_ = 1 + static_cast<int>(mean_ / 10.0); in param_type() 148 emu_ = std::exp(-mean_ / static_cast<double>(split_)); in param_type() 154 lmu_ = std::log(mean_); in param_type() [all …]
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D | gaussian_distribution.h | 96 : mean_(mean), stddev_(stddev) {} in mean_() function 100 result_type mean() const { return mean_; } in mean() 106 return a.mean_ == b.mean_ && a.stddev_ == b.stddev_; 114 result_type mean_;
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D | poisson_distribution_test.cc | 165 explicit PoissonModel(double mean) : mean_(mean) {} in PoissonModel() 167 double mean() const { return mean_; } in mean() 168 double variance() const { return mean_; } in variance() 170 double skew() const { return 1.0 / mean_; } in skew() 171 double kurtosis() const { return 3.0 + 1.0 / mean_; } in kurtosis() 191 ABSL_INTERNAL_LOG(INFO, absl::StrCat("CDF (mean = ", mean_, ")")); in LogCDF() 199 const double mean_; member in __anon8683c0550111::PoissonModel 215 ABSL_ASSERT(mean_ < 201.0); in InitCDF()
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/external/openscreen/third_party/abseil/src/absl/random/ |
D | poisson_distribution.h | 63 double mean() const { return mean_; } in mean() 66 return a.mean_ == b.mean_; 76 double mean_; variable 134 : mean_(mean), split_(0) { in param_type() 141 if (mean_ < 10) { in param_type() 144 emu_ = std::exp(-mean_); in param_type() 145 } else if (mean_ <= 50) { in param_type() 147 split_ = 1 + static_cast<int>(mean_ / 10.0); in param_type() 148 emu_ = std::exp(-mean_ / static_cast<double>(split_)); in param_type() 154 lmu_ = std::log(mean_); in param_type() [all …]
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D | gaussian_distribution.h | 96 : mean_(mean), stddev_(stddev) {} in mean_() function 100 result_type mean() const { return mean_; } in mean() 106 return a.mean_ == b.mean_ && a.stddev_ == b.stddev_; 114 result_type mean_;
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D | poisson_distribution_test.cc | 165 explicit PoissonModel(double mean) : mean_(mean) {} in PoissonModel() 167 double mean() const { return mean_; } in mean() 168 double variance() const { return mean_; } in variance() 170 double skew() const { return 1.0 / mean_; } in skew() 171 double kurtosis() const { return 3.0 + 1.0 / mean_; } in kurtosis() 191 ABSL_INTERNAL_LOG(INFO, absl::StrCat("CDF (mean = ", mean_, ")")); in LogCDF() 199 const double mean_; member in __anon1c6796a60111::PoissonModel 215 ABSL_ASSERT(mean_ < 201.0); in InitCDF()
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/external/tensorflow/tensorflow/core/grappler/costs/ |
D | robust_stats.cc | 130 mean_ = median_mad.first; in HuberMAD() 145 double old_mean = mean_; in HuberMAD() 146 mean_ = UpdateHuberMean(sorted_values, mean_, margin); in HuberMAD() 147 if (mean_ == old_mean) break; in HuberMAD()
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D | robust_stats.h | 29 double mean() const { return mean_; } in mean() 36 double mean_; variable
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/external/tensorflow/tensorflow/compiler/xla/service/gpu/ |
D | cudnn_batchnorm_thunk.cc | 46 mean_(mean), in CudnnBatchNormForwardInferenceThunk() 60 se::DeviceMemory<float> mean(buffer_allocations.GetDeviceAddress(mean_)); in ExecuteOnStream() 130 mean_(mean), in CudnnBatchNormBackwardThunk() 157 se::DeviceMemory<float>(buffer_allocations.GetDeviceAddress(mean_)), in ExecuteOnStream()
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D | cudnn_batchnorm_thunk.h | 71 BufferAllocation::Slice mean_; variable 126 BufferAllocation::Slice mean_; variable
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