54 lines
2 KiB
C++
54 lines
2 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 <rotgen/rotgen.hpp>
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#include <Eigen/Dense>
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#include <vector>
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#include <tuple>
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namespace rotgen::tests
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{
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template<typename T>
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void check_norms_functions(const T& input)
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{
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using EigenMatrix = Eigen::Matrix<typename T::value_type, Eigen::Dynamic, Eigen::Dynamic>;
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EigenMatrix ref(input.rows(), input.cols());
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prepare([&](auto r, auto c) { return input(r,c); }, ref);
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TTS_EQUAL(input.norm() , ref.norm());
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TTS_EQUAL(input.squaredNorm() , ref.squaredNorm());
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TTS_EQUAL(input.template lpNorm<1>() , ref.template lpNorm<1>());
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TTS_EQUAL(input.template lpNorm<2>() , ref.template lpNorm<2>());
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TTS_EQUAL(input.template lpNorm<rotgen::Infinity>() , ref.template lpNorm<Eigen::Infinity>());
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TTS_EQUAL(norm(input) , ref.norm());
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TTS_EQUAL(squaredNorm(input) , ref.squaredNorm());
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TTS_EQUAL(lpNorm<1>(input) , ref.template lpNorm<1>());
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TTS_EQUAL(lpNorm<2>(input) , ref.template lpNorm<2>());
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TTS_EQUAL(lpNorm<rotgen::Infinity>(input) , ref.template lpNorm<Eigen::Infinity>());
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if constexpr(T::IsVectorAtCompileTime)
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{
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EigenMatrix e_norm = ref.normalized();
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using mat_t = rotgen::matrix<typename T::value_type,rotgen::Dynamic,rotgen::Dynamic,T::storage_order>;
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mat_t norm_ref(input.rows(), input.cols());
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prepare([&](auto r, auto c) { return e_norm(r,c); }, norm_ref);
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TTS_EQUAL(input.normalized(), norm_ref);
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TTS_EQUAL(normalized(input), norm_ref);
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auto m_norm = input;
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m_norm.normalize();
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TTS_EQUAL(m_norm, norm_ref);
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auto f_norm = input;
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normalize(f_norm);
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TTS_EQUAL(f_norm, norm_ref);
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}
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}
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}
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