Merge branch 'feat/x-files' into 'main'

Use X-macros to generate all combinations of supported Eigen Matrix types

Co-authored-by: Joel Falcou <joel.falcou@lri.fr>

See merge request oss/rotgen!8
This commit is contained in:
Joel Falcou 2025-05-26 14:49:20 +02:00
parent a76020e274
commit 8647639c0d
24 changed files with 1176 additions and 1111 deletions

View file

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//==================================================================================================
/*
ROTGEN - Runtime Overlay for Eigen
Copyright : CODE RECKONS
SPDX-License-Identifier: BSL-1.0
*/
//==================================================================================================
#include "unit/tests.hpp"
#include <rotgen/matrix.hpp>
template <typename MatrixType>
void test_matrix_operations(std::size_t rows, std::size_t cols, auto a_init_fn, auto b_init_fn, auto ops, auto self_ops)
{
MatrixType a(rows, cols);
MatrixType b(rows, cols);
MatrixType ref(rows, cols);
for (std::size_t r = 0; r < rows; ++r)
{
for (std::size_t c = 0; c < cols; ++c)
{
a(r,c) = a_init_fn(r, c);
b(r,c) = b_init_fn(r, c);
ref(r, c) = ops(a(r,c),b(r,c));
}
}
TTS_EQUAL(ops(a, b), ref);
self_ops(a,b);
TTS_EQUAL(a, ref);
}
template <typename MatrixType>
void test_scalar_operations(std::size_t rows, std::size_t cols, auto a_init_fn, auto s, auto ops, auto self_ops)
{
MatrixType a(rows, cols);
MatrixType ref(rows, cols);
for (std::size_t r = 0; r < rows; ++r)
{
for (std::size_t c = 0; c < cols; ++c)
{
a(r,c) = a_init_fn(r, c);
ref(r, c) = ops(a(r,c),s);
}
}
TTS_EQUAL(ops(a, s), ref);
self_ops(a,s);
TTS_EQUAL(a, ref);
}
template <typename MatrixType>
void test_scalar_multiplications(std::size_t rows, std::size_t cols, auto fn, auto s)
{
MatrixType a(rows, cols);
MatrixType ref(rows, cols);
for (std::size_t r = 0; r < rows; ++r)
{
for (std::size_t c = 0; c < cols; ++c)
{
a(r,c) = fn(r, c);
ref(r, c) = a(r,c) * s;
}
}
TTS_EQUAL(a * s, ref);
TTS_EQUAL(s * a, ref);
a *= s;
TTS_EQUAL(a, ref);
}
template <typename MatrixType>
void test_matrix_multiplication(std::size_t rows, std::size_t cols, auto a_init_fn, auto b_init_fn)
{
MatrixType a(rows, cols);
MatrixType b(cols, rows);
MatrixType ref(rows, rows);
for (std::size_t r = 0; r < a.rows(); ++r)
for (std::size_t c = 0; c < a.cols(); ++c)
a(r,c) = a_init_fn(r, c);
for (std::size_t r = 0; r < b.rows(); ++r)
for (std::size_t c = 0; c < b.cols(); ++c)
b(r,c) = b_init_fn(r, c);
for (std::size_t i = 0; i < a.rows(); ++i)
{
for (std::size_t j = 0; j < b.cols(); ++j)
{
ref(i, j) = 0;
for (std::size_t k = 0; k < a.cols(); ++k)
ref(i, j) += a(i, k) * b(k, j);
}
}
TTS_EQUAL(a * b, ref);
}
// Basic initializers
inline constexpr auto init_a = [](auto r, auto c) { return 9.9*r*r*r - 6*c -12; };
inline constexpr auto init_b = [](auto r, auto c) { return 3.1*r + 4.2*c - 12.3; };
inline constexpr auto init_0 = [](auto , auto ) { return 0; };
TTS_CASE_TPL("Check matrix addition", rotgen::tests::types)
<typename T, typename O>( tts::type< tts::types<T,O>> )
{
using mat_t = rotgen::matrix<T,rotgen::Dynamic,rotgen::Dynamic,O::value>;
auto op = [](auto a, auto b) { return a + b; };
auto s_op = [](auto& a, auto b) { return a += b; };
test_matrix_operations<mat_t>(1 , 1, init_a, init_b, op, s_op);
test_matrix_operations<mat_t>(3 , 5, init_a, init_b, op, s_op);
test_matrix_operations<mat_t>(5 , 3, init_a, init_b, op, s_op);
test_matrix_operations<mat_t>(5 , 5, init_a, init_b, op, s_op);
test_matrix_operations<mat_t>(5 , 5, init_b, init_a, op, s_op);
test_matrix_operations<mat_t>(10, 1, init_a, init_b, op, s_op);
test_matrix_operations<mat_t>(1 ,10, init_a, init_b, op, s_op);
test_matrix_operations<mat_t>(5 , 5, init_0, init_b, op, s_op);
test_matrix_operations<mat_t>(5 , 5, init_a, init_0, op, s_op);
};
TTS_CASE_TPL("Check matrix substraction", rotgen::tests::types)
<typename T, typename O>( tts::type< tts::types<T,O>> )
{
using mat_t = rotgen::matrix<T,rotgen::Dynamic,rotgen::Dynamic,O::value>;
auto op = [](auto a, auto b) { return a - b; };
auto s_op = [](auto& a, auto b) { return a -= b; };
test_matrix_operations<mat_t>(1 , 1, init_a, init_b, op, s_op);
test_matrix_operations<mat_t>(3 , 5, init_a, init_b, op, s_op);
test_matrix_operations<mat_t>(5 , 3, init_a, init_b, op, s_op);
test_matrix_operations<mat_t>(5 , 5, init_a, init_b, op, s_op);
test_matrix_operations<mat_t>(5 , 5, init_b, init_a, op, s_op);
test_matrix_operations<mat_t>(10, 1, init_a, init_b, op, s_op);
test_matrix_operations<mat_t>(1 ,10, init_a, init_b, op, s_op);
test_matrix_operations<mat_t>(5 , 5, init_0, init_b, op, s_op);
test_matrix_operations<mat_t>(5 , 5, init_a, init_0, op, s_op);
};
TTS_CASE_TPL("Check matrix multiplications", rotgen::tests::types)
<typename T, typename O>( tts::type< tts::types<T,O>> )
{
using mat_t = rotgen::matrix<T,rotgen::Dynamic,rotgen::Dynamic,O::value>;
auto init_id = [](auto r, auto c) { return r == c ? 1 : 0; };
test_matrix_multiplication<mat_t>(1 , 1, init_a , init_b );
test_matrix_multiplication<mat_t>(3 , 5, init_a , init_b );
test_matrix_multiplication<mat_t>(5 , 3, init_a , init_b );
test_matrix_multiplication<mat_t>(5 , 5, init_a , init_b );
test_matrix_multiplication<mat_t>(5 , 5, init_b , init_a );
test_matrix_multiplication<mat_t>(5 , 5, init_a , init_a );
test_matrix_multiplication<mat_t>(5 , 5, init_a , init_id);
test_matrix_multiplication<mat_t>(5 , 5, init_id, init_a );
test_matrix_multiplication<mat_t>(10, 1, init_a , init_b );
test_matrix_multiplication<mat_t>(1 ,10, init_a , init_b );
test_matrix_multiplication<mat_t>(5 , 5, init_0 , init_b );
test_matrix_multiplication<mat_t>(5 , 5, init_a , init_0 );
};
TTS_CASE_TPL("Check matrix multiplication with scalar", rotgen::tests::types)
<typename T, typename O>( tts::type< tts::types<T,O>> )
{
using mat_t = rotgen::matrix<T,rotgen::Dynamic,rotgen::Dynamic,O::value>;
test_scalar_multiplications<mat_t>(1 , 1, init_a, T{ 3.5});
test_scalar_multiplications<mat_t>(3 , 5, init_a, T{-2.5});
test_scalar_multiplications<mat_t>(5 , 3, init_a, T{ 4. });
test_scalar_multiplications<mat_t>(5 , 5, init_a, T{-5. });
test_scalar_multiplications<mat_t>(5 , 5, init_a, T{ 1. });
test_scalar_multiplications<mat_t>(5 , 5, init_a, T{ 6. });
test_scalar_multiplications<mat_t>(10, 1, init_a, T{ 10.});
test_scalar_multiplications<mat_t>(1 ,10, init_a, T{-0.5});
};
TTS_CASE_TPL("Check matrix division with scalar", rotgen::tests::types)
<typename T, typename O>( tts::type< tts::types<T,O>> )
{
using mat_t = rotgen::matrix<T,rotgen::Dynamic,rotgen::Dynamic,O::value>;
auto op = [](auto a, auto b) { return a / b; };
auto s_op = [](auto& a, auto b) { return a /= b; };
test_scalar_operations<mat_t>(1 , 1, init_a, T{ 3.5}, op, s_op);
test_scalar_operations<mat_t>(3 , 5, init_a, T{-2.5}, op, s_op);
test_scalar_operations<mat_t>(5 , 3, init_a, T{ 4. }, op, s_op);
test_scalar_operations<mat_t>(5 , 5, init_a, T{-5. }, op, s_op);
test_scalar_operations<mat_t>(5 , 5, init_a, T{ 1. }, op, s_op);
test_scalar_operations<mat_t>(5 , 5, init_a, T{ 6. }, op, s_op);
test_scalar_operations<mat_t>(10, 1, init_a, T{ 10.}, op, s_op);
test_scalar_operations<mat_t>(1 ,10, init_a, T{-0.5}, op, s_op);
};