LBANN  0.103.0
LivermoreBigArtificialNeuralNetworkToolkit
statistics.hpp
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1 // Copyright (c) 2014-2023, Lawrence Livermore National Security, LLC.
3 // Produced at the Lawrence Livermore National Laboratory.
4 // Written by the LBANN Research Team (B. Van Essen, et al.) listed in
5 // the CONTRIBUTORS file. <lbann-dev@llnl.gov>
6 //
7 // LLNL-CODE-697807.
8 // All rights reserved.
9 //
10 // This file is part of LBANN: Livermore Big Artificial Neural Network
11 // Toolkit. For details, see http://software.llnl.gov/LBANN or
12 // https://github.com/LLNL/LBANN.
13 //
14 // Licensed under the Apache License, Version 2.0 (the "Licensee"); you
15 // may not use this file except in compliance with the License. You may
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17 //
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26 
27 #ifndef LBANN_UTILS_STATISTICS_HPP
28 #define LBANN_UTILS_STATISTICS_HPP
29 
30 #include "lbann/base.hpp"
31 
32 namespace lbann {
33 
39 void entrywise_mean_and_stdev(const Mat& data, DataType& mean, DataType& stdev);
40 
47  DataType& mean,
48  DataType& stdev);
49 
57 void columnwise_mean_and_stdev(const Mat& data, Mat& means, Mat& stdevs);
58 
66 void columnwise_mean_and_stdev(const Mat& data, Mat& means, Mat& stdevs);
67 
68 // Wraps around column-wise sum and sqsum
77  AbsDistMat& means,
78  AbsDistMat& stdevs);
79 
88  AbsDistMat& sums,
89  AbsDistMat& sqsums);
90 
98 void rowwise_mean_and_stdev(const Mat& data, Mat& means, Mat& stdevs);
99 
108  AbsDistMat& sums,
109  AbsDistMat& sqsums);
110 
111 // Wraps around rowwise_sum_and_sqsum
120  AbsDistMat& means,
121  AbsDistMat& stdevs);
122 
131 void columnwise_covariance(const AbsDistMat& data1,
132  const AbsDistMat& data2,
133  const AbsDistMat& means1,
134  const AbsDistMat& means2,
135  AbsDistMat& cov);
136 
137 } // namespace lbann
138 #endif // LBANN_UTILS_STATISTICS_HPP
El::AbstractDistMatrix< DataType > AbsDistMat
Definition: base.hpp:120
void rowwise_sums_and_sqsums(const AbsDistMat &data, AbsDistMat &sums, AbsDistMat &sqsums)
Compute row-wise sum and sum of squares.
T & data(const cnpy::NpyArray &na, const std::vector< size_t > indices)
Definition: cnpy_utils.hpp:75
void columnwise_sums_and_sqsums(const AbsDistMat &data, AbsDistMat &sums, AbsDistMat &sqsums)
Compute column-wise sum and sqsum.
void entrywise_mean_and_stdev(const Mat &data, DataType &mean, DataType &stdev)
Compute mean and standard deviation over matrix entries.
void columnwise_mean_and_stdev(const Mat &data, Mat &means, Mat &stdevs)
Compute column-wise means and standard deviations.
void rowwise_mean_and_stdev(const Mat &data, Mat &means, Mat &stdevs)
Compute row-wise means and standard deviations.
El::Matrix< DataType, El::Device::CPU > Mat
Definition: base.hpp:185
void columnwise_covariance(const AbsDistMat &data1, const AbsDistMat &data2, const AbsDistMat &means1, const AbsDistMat &means2, AbsDistMat &cov)
Compute column-wise covariances.