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https://gitlab.com/libeigen/eigen.git
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a451835bce
- support dynamic sizes
- support arbitrary matrix size when the matrix can be seen as a 1D array
(except for fixed size matrices where the size in Bytes must be a factor of 16,
this is to allow compact storage of a vector of matrices)
Note that the explict vectorization is still experimental and far to be completely tested.
58 lines
1.4 KiB
Plaintext
58 lines
1.4 KiB
Plaintext
#ifndef EIGEN_CORE_H
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#define EIGEN_CORE_H
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#ifndef EIGEN_DONT_VECTORIZE
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#if ((defined __SSE2__) && ( (!defined __GNUC__) || (__GNUC__>=4 && __GNUC_MINOR__>=2)))
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#define EIGEN_VECTORIZE
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#define EIGEN_VECTORIZE_SSE
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#include <emmintrin.h>
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#include <xmmintrin.h>
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#endif
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#endif
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#include <cstdlib>
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#include <cmath>
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#include <complex>
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#include <cassert>
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#include <iostream>
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namespace Eigen {
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#include "src/Core/util/Macros.h"
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#include "src/Core/util/Constants.h"
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#include "src/Core/util/ForwardDeclarations.h"
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#include "src/Core/util/Meta.h"
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#include "src/Core/NumTraits.h"
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#include "src/Core/MathFunctions.h"
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#include "src/Core/PacketMath.h"
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#include "src/Core/Functors.h"
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#include "src/Core/MatrixBase.h"
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#include "src/Core/Coeffs.h"
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#include "src/Core/Assign.h"
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#include "src/Core/MatrixStorage.h"
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#include "src/Core/Matrix.h"
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#include "src/Core/Lazy.h"
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#include "src/Core/Temporary.h"
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#include "src/Core/CwiseBinaryOp.h"
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#include "src/Core/CwiseUnaryOp.h"
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#include "src/Core/CwiseNullaryOp.h"
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#include "src/Core/Product.h"
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#include "src/Core/Block.h"
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#include "src/Core/Minor.h"
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#include "src/Core/Transpose.h"
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#include "src/Core/Dot.h"
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#include "src/Core/DiagonalMatrix.h"
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#include "src/Core/DiagonalCoeffs.h"
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#include "src/Core/Redux.h"
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#include "src/Core/Visitor.h"
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#include "src/Core/Fuzzy.h"
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#include "src/Core/Map.h"
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#include "src/Core/IO.h"
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#include "src/Core/Swap.h"
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#include "src/Core/CommaInitializer.h"
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} // namespace Eigen
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#endif // EIGEN_CORE_H
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