[PATCH v7 1/3] ipa: libipa: Add Matrix class
Laurent Pinchart
laurent.pinchart at ideasonboard.com
Wed Jun 12 01:33:33 CEST 2024
Hi Paul,
Thank you for the patch.
On Tue, Jun 11, 2024 at 11:02:05PM +0900, Paul Elder wrote:
> Add a class to represent a Matrix object and operations for adding
> matrices, multipling a matrix by a scalar, and multiplying two matrices.
>
> Signed-off-by: Paul Elder <paul.elder at ideasonboard.com>
> Reviewed-by: Stefan Klug <stefan.klug at ideasonboard.com>
> Reviewed-by: Kieran Bingham <kieran.bingham at ideasonboard.com>
>
> ---
> Changes in v7:
> - fix copyright and license
>
> Changes in v6:
> - fix doxygen
>
> Changes in v5:
> - add documentation
>
> Changes in v4:
> - remove stray semicolons
> - add operator<<
> - clean up/optimize constructor
> - replace get() and set() with operator[] (and a second [] can be used
> as operator[] returns a Span)
>
> Changes in v3:
> - fix template parameters of operator* to allow different types for the
> scalar multiplier and the matrix's number type
> - clear data in constructors
> - fix assert in constructor
>
> Changes v2:
> - make rows and columns into template arguments
> - initialize to identity matrix on construction
> - add getter and setter
> - change from struct to class
> - fix matrix multiplication
> - clean up unused includes
> - avoid dereferencing an absent std::optional
> ---
> src/ipa/libipa/matrix.cpp | 123 ++++++++++++++++++++++++++
> src/ipa/libipa/matrix.h | 172 +++++++++++++++++++++++++++++++++++++
> src/ipa/libipa/meson.build | 2 +
> 3 files changed, 297 insertions(+)
> create mode 100644 src/ipa/libipa/matrix.cpp
> create mode 100644 src/ipa/libipa/matrix.h
>
> diff --git a/src/ipa/libipa/matrix.cpp b/src/ipa/libipa/matrix.cpp
> new file mode 100644
> index 000000000000..02091a0b4ce1
> --- /dev/null
> +++ b/src/ipa/libipa/matrix.cpp
> @@ -0,0 +1,123 @@
> +/* SPDX-License-Identifier: LGPL-2.1-or-later */
> +/*
> + * Copyright (C) 2024, Paul Elder <paul.elder at ideasonboard.com>
> + *
> + * Matrix and related operations
> + */
> +
> +#include "matrix.h"
> +
> +#include <libcamera/base/log.h>
> +
> +/**
> + * \file matrix.h
> + * \brief Matrix class
> + */
> +
> +namespace libcamera {
> +
> +LOG_DEFINE_CATEGORY(Matrix)
> +
> +namespace ipa {
> +
> +/**
> + * \class Matrix
> + * \brief Matrix class
> + * \tparam T Type of numerical values to be stored in the matrix
> + * \tparam R Number of rows in the matrix
> + * \tparam C Number of columns in the matrix
> + */
> +
> +/**
> + * \fn Matrix::Matrix()
> + * \brief Construct an identity matrix
I would have expected the default constructor to construct a zero
matrix. Is there a reason to go for identity instead ?
As identity matrices are useful too, I would add a static
Matrix::identity() function that constructs and returns an identity
matrix.
> + */
> +
> +/**
> + * \fn Matrix::Matrix(const std::vector<T> &data)
Turning the argument into a Span would allow passing any type of
contiguous data (vector, array, C array, ...) without requiring the
caller to construct a std::vector.
> + * \brief Construct matrix from supplied data
s/matrix/a matrix/
> + * \param data Data from which to construct a matrix
\param[in]
Same below.
> + *
> + * \a data is a one-dimensional vector and will be turned into a matrix in
> + * row-major order. The size of \a data must be equal to the product of the
> + * number of rows and columns of the matrix (RxC).
> + */
> +
> +/**
> + * \fn Matrix::readYaml
s/$/()/
Same below.
> + * \brief Populate the matrix with yaml data
> + * \param yaml Yaml data to populate the matrix with
> + *
> + * Any existing data in the matrix will be overwritten. The size of the data
> + * read from \a yaml must be equal to the product of the number of rows and
> + * columns of the matrix (RxC).
> + *
> + * The yaml data is expected to be a list with elements of type T.
in row-major order.
> + *
> + * \return 0 on success, negative error code otherwise
> + */
> +
> +/**
> + * \fn Matrix::toString
> + * \brief Assemble and return a string describing the matrix
> + * \return A string describing the matrix
> + */
> +
> +/**
> + * \fn Span<const T, C> Matrix::operator[](size_t i) const
> + * \brief Index to a row in the matrix
> + * \param i Index of row to retrieve
> + *
> + * This operator[] returns a Span, which can then be indexed into again with
> + * another operator[], allowing a convenient m[i][j] to access elements of the
> + * matrix. Note that the lifetime of the Span returned by this first-level
> + * operator[] is bound to that of the Matrix itself, so it is not recommended
> + * to save the Span that is the result of this operator[].
That's a clever idea, I like it.
Longer term we may need a different (and
unfortunately much more complex) implementation to allow using Matrix[i]
in APIs that expect a Vector (which itself may need to be reimplemented
as a matrix with a single column). And the next thing we know is that
we'll reimplement uBLAS or Eigen3 :-) I'll cross my fingers and wish we
won't reach that point.
https://stackoverflow.com/questions/1380371/what-are-the-most-widely-used-c-vector-matrix-math-linear-algebra-libraries-a
"It seems that many projects slowly come upon a need to do matrix math,
and fall into the trap of first building some vector classes and slowly
adding in functionality until they get caught building a half-assed
custom linear algebra library, and depending on it."
> + *
> + * \return Row \a i from the matrix, as a Span
> + */
> +
> +/**
> + * \fn Matrix::operator[](size_t i)
> + * \copydoc Matrix::operator[](size_t i) const
> + */
> +
> +/**
> + * \fn Matrix::Matrix<U, R, C> operator*(T d, const Matrix<U, R, C> &m)
> + * \brief Scalar product
> + * \tparam T Type of the numerical scalar value
> + * \tparam U Type of numerical values in the matrix
> + * \tparam R Number of rows in the matrix
> + * \tparam C Number of columns in the matrix
> + * \param d Scalar
> + * \param m Matrix
> + * \return Product of scalar \a d and matrix \a m
> + */
> +
> +/**
> + * \fn Matrix<T, R1, C2> operator*(const Matrix<T, R1, C1> &m1, const Matrix<T, R2, C2> &m2)
> + * \brief Matrix multiplication
> + * \tparam T Type of numerical values in the matrices
> + * \tparam R1 Number of rows in the first matrix
> + * \tparam C1 Number of columns in the first matrix
> + * \tparam R2 Number of rows in the second matrix
> + * \tparam C2 Number of columns in the second matrix
> + * \param m1 Multiplicand matrix
> + * \param m2 Multiplier matrix
> + * \return Matrix product of matrices \a m1 and \a m2
> + */
> +
> +/**
> + * \fn Matrix<T, R, C> operator+(const Matrix<T, R, C> &m1, const Matrix<T, R, C> &m2)
> + * \brief Matrix addition
> + * \tparam T Type of numerical values in the matrices
> + * \tparam R Number of rows in the matrices
> + * \tparam C Number of columns in the matrices
> + * \param m1 Summand matrix
> + * \param m2 Summand matrix
> + * \return Matrix sum of matrices \a m1 and \a m2
> + */
> +
> +} /* namespace ipa */
> +
> +} /* namespace libcamera */
> diff --git a/src/ipa/libipa/matrix.h b/src/ipa/libipa/matrix.h
> new file mode 100644
> index 000000000000..90eaea03bd14
> --- /dev/null
> +++ b/src/ipa/libipa/matrix.h
> @@ -0,0 +1,172 @@
> +/* SPDX-License-Identifier: LGPL-2.1-or-later */
> +/*
> + * Copyright (C) 2024, Paul Elder <paul.elder at ideasonboard.com>
> + *
> + * Matrix and related operations
> + */
> +#pragma once
> +
> +#include <algorithm>
> +#include <cmath>
> +#include <sstream>
> +#include <vector>
> +
> +#include <libcamera/base/log.h>
> +#include <libcamera/base/span.h>
> +
> +#include "libcamera/internal/yaml_parser.h"
> +
> +namespace libcamera {
> +
> +LOG_DECLARE_CATEGORY(Matrix)
> +
> +namespace ipa {
> +
> +#ifndef __DOXYGEN__
> +template<typename T, unsigned int R, unsigned int C,
Following the Vector class,
template<typename T, unsigned int Rows, unsigned int Cols,
> + std::enable_if_t<std::is_arithmetic_v<T>> * = nullptr>
> +#else
> +template<typename T, unsigned int R, unsigned int C>
> +#endif /* __DOXYGEN__ */
> +class Matrix
> +{
> +public:
> + Matrix()
> + : data_(R * C, static_cast<T>(false))
false ? That's a strange one, anything wrong with 0 ?
> + {
> + for (size_t i = 0; i < std::min(R, C); i++)
> + (*this)[i][i] = static_cast<T>(true);
And 1 here.
> + }
> +
> + Matrix(const std::vector<T> &data)
> + {
> + ASSERT(data.size() == R * C);
> +
> + data_.clear();
> + for (const T &x : data)
> + data_.push_back(x);
That will perform quite a few reallocations. I think you can simply
write
std::copy(data.begin(), data.end(), data_.begin());
> + }
> +
> + ~Matrix() = default;
> +
> + int readYaml(const libcamera::YamlObject &yaml)
> + {
> + if (yaml.size() != R * C) {
> + LOG(Matrix, Error)
> + << "Wrong number of values in matrix: expected "
> + << R * C << ", got " << yaml.size();
> + return -EINVAL;
> + }
> +
> + unsigned int i = 0;
> + for (const auto &x : yaml.asList()) {
> + auto value = x.get<T>();
> + if (!value) {
> + LOG(Matrix, Error) << "Failed to read matrix value";
> + return -EINVAL;
> + }
> +
> + data_[i++] = *value;
> + }
> +
> + return 0;
> + }
> +
> + const std::string toString() const
> + {
> + std::stringstream out;
> +
> + out << "Matrix { ";
> + for (unsigned int i = 0; i < R; i++) {
> + out << "[ ";
> + for (unsigned int j = 0; j < C; j++) {
> + out << (*this)[i][j];
> + out << ((j + 1 < C) ? ", " : " ");
> + }
> + out << ((i + 1 < R) ? "], " : "]");
> + }
> + out << " }";
> +
> + return out.str();
> + }
> +
> + Span<const T, C> operator[](size_t i) const
> + {
> + return Span<const T, C>{ &data_.data()[i * C], C };
> + }
> +
> + Span<T, C> operator[](size_t i)
> + {
> + return Span<T, C>{ &data_.data()[i * C], C };
> + }
> +
> +private:
> + std::vector<T> data_;
Should this be a std::array<T, Rows * Cols>, like for the Vector class ?
> +};
> +
> +#ifndef __DOXYGEN__
> +template<typename T, typename U, unsigned int R, unsigned int C,
> + std::enable_if_t<std::is_arithmetic_v<T> && std::is_arithmetic_v<U>> * = nullptr>
The latter is ensured by the Matrix class.
You need an
#else
template<typename T, typename U, unsigned int R, unsigned int C>
Same below.
> +#endif /* __DOXYGEN__ */
> +Matrix<U, R, C> operator*(T d, const Matrix<U, R, C> &m)
I'm surprised by the order of the operands, as I would have expected
users to write
Matrix m;
Matrix r = m * factor;
and not
Matrix m;
Matrix r = factor * m;
I recommend supporting both, you can easily implement one based on the
other.
It would also be useful to support the following with a member operator:
Matrix m;
Matrix r;
r *= factor;
> +{
> + Matrix<U, R, C> result;
> +
> + for (unsigned int i = 0; i < R; i++)
> + for (unsigned int j = 0; j < C; j++)
> + result[i][j] = d * m[i][j];
I think
for (unsigned int i = 0; i < R * C; i++)
result.data_[i] = d * m.data_[i];
would be more efficient.
> +
> + return result;
> +}
> +
> +#ifndef __DOXYGEN__
> +template<typename T,
> + unsigned int R1, unsigned int C1,
> + unsigned int R2, unsigned int C2,
> + std::enable_if_t<std::is_arithmetic_v<T> && C1 == R2> * = nullptr>
> +#endif /* __DOXYGEN__ */
> +Matrix<T, R1, C2> operator*(const Matrix<T, R1, C1> &m1, const Matrix<T, R2, C2> &m2)
This can also be simplified in a similar way as above.
> +{
> + Matrix<T, R1, C2> result;
> +
> + for (unsigned int i = 0; i < R1; i++) {
> + for (unsigned int j = 0; j < C2; j++) {
> + T sum = 0;
> +
> + for (unsigned int k = 0; k < C1; k++)
> + sum += m1[i][k] * m2[k][j];
> +
> + result[i][j] = sum;
> + }
> + }
> +
> + return result;
> +}
> +
> +#ifndef __DOXYGEN__
> +template<typename T, unsigned int R, unsigned int C,
> + std::enable_if_t<std::is_arithmetic_v<T>> * = nullptr>
Ensured by the Matrix type.
> +#endif /* __DOXYGEN__ */
> +Matrix<T, R, C> operator+(const Matrix<T, R, C> &m1, const Matrix<T, R, C> &m2)
> +{
> + Matrix<T, R, C> result;
> +
> + for (unsigned int i = 0; i < R; i++)
> + for (unsigned int j = 0; j < C; j++)
> + result[i][j] = m1[i][j] + m2[i][j];
I think
for (unsigned int i = 0; i < R * C; i++)
result.data_[i] = m1.data_[i] + m2.data_[i];
would be more efficient.
> +
> + return result;
> +}
> +
> +} /* namespace ipa */
> +
> +#ifndef __DOXYGEN__
> +template<typename T, unsigned int R, unsigned int C>
> +std::ostream &operator<<(std::ostream &out, const ipa::Matrix<T, R, C> &m)
> +{
> + out << m.toString();
> + return out;
> +}
> +#endif /* __DOXYGEN__ */
> +
> +} /* namespace libcamera */
> diff --git a/src/ipa/libipa/meson.build b/src/ipa/libipa/meson.build
> index b663afc7d9fe..067d0d273e0a 100644
> --- a/src/ipa/libipa/meson.build
> +++ b/src/ipa/libipa/meson.build
> @@ -7,6 +7,7 @@ libipa_headers = files([
> 'exposure_mode_helper.h',
> 'fc_queue.h',
> 'histogram.h',
> + 'matrix.h',
> 'module.h',
> ])
>
> @@ -17,6 +18,7 @@ libipa_sources = files([
> 'exposure_mode_helper.cpp',
> 'fc_queue.cpp',
> 'histogram.cpp',
> + 'matrix.cpp',
> 'module.cpp',
> ])
>
--
Regards,
Laurent Pinchart
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