Implements map and ref for both static & dynamic mode
See merge request oss/rotgen!12
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58 changed files with 4121 additions and 1205 deletions
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@ -6,43 +6,37 @@
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*/
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//==================================================================================================
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#include "unit/tests.hpp"
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#include "unit/common/norms.hpp"
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#include <rotgen/rotgen.hpp>
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#include <Eigen/Dense>
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TTS_CASE_TPL("Matrix norm-related operations", rotgen::tests::types)
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TTS_CASE_TPL("Test dynamic block norm operations", 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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std::vector<rotgen::tests::matrix_block_test_case<mat_t>> test_cases =
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{
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{6, 5, [](rotgen::Index r, rotgen::Index c) {return r + c; }, 1, 2, 3, 2},
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{9, 11, [](rotgen::Index r, rotgen::Index c) {return r + c; }, 0, 1, 4, 9},
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{3, 3, [](rotgen::Index , rotgen::Index ) {return 0.0; }, 1, 1, 1, 1},
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{1, 4, [](rotgen::Index r, rotgen::Index c) {return -r -c*c - 1234; }, 0, 0, 1, 1},
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{4, 1, [](rotgen::Index , rotgen::Index ) {return 7.0; }, 2, 0, 2, 1},
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{1, 1, [](rotgen::Index , rotgen::Index ) {return 42.0; }, 0, 0, 1, 1},
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{12, 13, [](rotgen::Index r, rotgen::Index c) {return std::sin(r + c); }, 2, 3, 4, 5 },
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{4, 9, [](rotgen::Index r, rotgen::Index c) {return -1.5 * r + 2.56 * c; }, 0, 1, 2, 3 },
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{2, 5, [](rotgen::Index r, rotgen::Index c) {return (r == c ? 1.0 : 0.0); }, 1, 1, 1, 1},
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};
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for (const auto& [rows, cols, fn, i0, j0, ni, nj] : test_cases)
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auto const cases = rotgen::tests::generate_block_references<T,O>();
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for (const auto& [matrix_desc, i0, j0, ni, nj] : cases)
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{
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rotgen::matrix<T,rotgen::Dynamic,rotgen::Dynamic,O::value> original_matrix(rows, cols);
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Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic,O::value> ref_matrix(rows, cols);
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for (rotgen::Index r = 0; r < rows; ++r)
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for (rotgen::Index c = 0; c < cols; ++c)
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ref_matrix(r, c) = original_matrix(r, c) = fn(r,c);
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auto original_block = rotgen::extract(original_matrix, i0, j0, ni, nj);
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auto ref_block = ref_matrix.block(i0, j0, ni, nj);
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TTS_EQUAL(original_block.norm(), ref_block.norm());
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TTS_EQUAL(original_block.squaredNorm(), ref_block.squaredNorm());
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TTS_EQUAL(original_block.template lpNorm<1>() , ref_block.template lpNorm<1>());
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TTS_EQUAL(original_block.template lpNorm<2>() , ref_block.template lpNorm<2>());
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TTS_EQUAL(original_block.template lpNorm<rotgen::Infinity>(), ref_block.template lpNorm<Eigen::Infinity>());
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auto[rows,cols,fn] = matrix_desc;
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rotgen::matrix<T,rotgen::Dynamic,rotgen::Dynamic,O::value> m(rows, cols);
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rotgen::tests::prepare(rows,cols,fn,m);
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auto input = rotgen::extract(m, i0, j0, ni, nj);
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rotgen::tests::check_norms_functions(input);
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}
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};
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};
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TTS_CASE_TPL("Test static block norm operations", 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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auto const cases = rotgen::tests::generate_static_block_references<T,O>();
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auto process = []<typename D>(D const& d)
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{
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auto[desc,i0,j0] = d;
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auto[rows,cols,fn] = desc;
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rotgen::matrix<T,rotgen::Dynamic,rotgen::Dynamic,O::value> m(rows, cols);
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rotgen::tests::prepare(rows,cols,fn,m);
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auto input = rotgen::extract<D::ni,D::nj>(m, i0, j0);
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rotgen::tests::check_norms_functions(input);
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};
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std::apply([&](auto const&... d) { (process(d),...);}, cases);
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};
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