Co-authored-by: Jules Pénuchot <jules@penuchot.com> Co-authored-by: Joel FALCOU <jfalcou@codereckons.com> See merge request oss/rotgen!41
65 lines
2.6 KiB
C++
65 lines
2.6 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/rotgen.hpp>
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TTS_CASE_TPL("rowwise API", rotgen::tests::types)<typename T, typename O>(
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tts::type<tts::types<T, O>>)
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{
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using e_t = Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic, O::value>;
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e_t ref = e_t::Random(4, 4);
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auto ref_rw = ref.rowwise();
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rotgen::matrix<T, rotgen::Dynamic, rotgen::Dynamic, O::value> mat(4, 4);
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rotgen::tests::prepare([&](auto r, auto c) { return ref(r, c); }, mat);
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auto rw = rotgen::rowwise(mat);
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for (rotgen::Index i = 0; i < mat.rows(); ++i)
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TTS_EQUAL(rw.sum()(i), ref_rw.sum()(i));
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for (rotgen::Index i = 0; i < mat.rows(); ++i)
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TTS_EQUAL(rw.mean()(i), ref_rw.mean()(i));
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for (rotgen::Index i = 0; i < mat.rows(); ++i)
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TTS_EQUAL(rw.prod()(i), ref_rw.prod()(i));
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for (rotgen::Index i = 0; i < mat.rows(); ++i)
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TTS_EQUAL(rw.maxCoeff()(i), ref_rw.maxCoeff()(i));
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for (rotgen::Index i = 0; i < mat.rows(); ++i)
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TTS_EQUAL(rw.minCoeff()(i), ref_rw.minCoeff()(i));
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for (rotgen::Index i = 0; i < mat.rows(); ++i)
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TTS_EQUAL(rw.squaredNorm()(i), ref_rw.squaredNorm()(i));
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for (rotgen::Index i = 0; i < mat.rows(); ++i)
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TTS_EQUAL(rw.norm()(i), ref_rw.norm()(i));
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};
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TTS_CASE_TPL("colwise API", rotgen::tests::types)<typename T, typename O>(
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tts::type<tts::types<T, O>>)
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{
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using e_t = Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic, O::value>;
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e_t ref = e_t::Random(4, 4);
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auto ref_rw = ref.colwise();
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rotgen::matrix<T, rotgen::Dynamic, rotgen::Dynamic, O::value> mat(4, 4);
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rotgen::tests::prepare([&](auto r, auto c) { return ref(r, c); }, mat);
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auto rw = rotgen::colwise(mat);
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for (rotgen::Index i = 0; i < mat.cols(); ++i)
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TTS_EQUAL(rw.sum()(i), ref_rw.sum()(i));
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for (rotgen::Index i = 0; i < mat.cols(); ++i)
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TTS_EQUAL(rw.mean()(i), ref_rw.mean()(i));
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for (rotgen::Index i = 0; i < mat.cols(); ++i)
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TTS_EQUAL(rw.prod()(i), ref_rw.prod()(i));
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for (rotgen::Index i = 0; i < mat.cols(); ++i)
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TTS_EQUAL(rw.maxCoeff()(i), ref_rw.maxCoeff()(i));
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for (rotgen::Index i = 0; i < mat.cols(); ++i)
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TTS_EQUAL(rw.minCoeff()(i), ref_rw.minCoeff()(i));
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for (rotgen::Index i = 0; i < mat.cols(); ++i)
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TTS_EQUAL(rw.squaredNorm()(i), ref_rw.squaredNorm()(i));
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for (rotgen::Index i = 0; i < mat.cols(); ++i)
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TTS_EQUAL(rw.norm()(i), ref_rw.norm()(i));
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};
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