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