mirror of
https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
83 lines
2.7 KiB
C
83 lines
2.7 KiB
C
|
|
// This file is part of Eigen, a lightweight C++ template library
|
||
|
|
// for linear algebra.
|
||
|
|
//
|
||
|
|
// Copyright (C) 2014 Benoit Steiner <benoit.steiner.goog@gmail.com>
|
||
|
|
//
|
||
|
|
// This Source Code Form is subject to the terms of the Mozilla
|
||
|
|
// Public License v. 2.0. If a copy of the MPL was not distributed
|
||
|
|
// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
|
||
|
|
|
||
|
|
#ifndef EIGEN_CXX11_TENSOR_TENSOR_BASE_H
|
||
|
|
#define EIGEN_CXX11_TENSOR_TENSOR_BASE_H
|
||
|
|
|
||
|
|
namespace Eigen {
|
||
|
|
|
||
|
|
/** \class TensorBase
|
||
|
|
* \ingroup CXX11_Tensor_Module
|
||
|
|
*
|
||
|
|
* \brief The tensor base class.
|
||
|
|
*
|
||
|
|
* This class is the common parent of the Tensor and TensorMap class, thus
|
||
|
|
* making it possible to use either class interchangably in expressions.
|
||
|
|
*/
|
||
|
|
|
||
|
|
template<typename Derived>
|
||
|
|
class TensorBase
|
||
|
|
{
|
||
|
|
public:
|
||
|
|
typedef typename internal::traits<Derived>::Scalar Scalar;
|
||
|
|
typedef typename internal::traits<Derived>::Index Index;
|
||
|
|
typedef Scalar CoeffReturnType;
|
||
|
|
|
||
|
|
Derived& setZero() {
|
||
|
|
return setConstant(Scalar(0));
|
||
|
|
}
|
||
|
|
|
||
|
|
Derived& setConstant(const Scalar& val) {
|
||
|
|
Scalar* data = derived().data();
|
||
|
|
for (int i = 0; i < derived().size(); ++i) {
|
||
|
|
data[i] = val;
|
||
|
|
}
|
||
|
|
return derived();
|
||
|
|
}
|
||
|
|
|
||
|
|
Derived& setRandom() {
|
||
|
|
Scalar* data = derived().data();
|
||
|
|
for (int i = 0; i < derived().size(); ++i) {
|
||
|
|
data[i] = internal::random_default_impl<Scalar, false, false>::run();
|
||
|
|
}
|
||
|
|
return derived();
|
||
|
|
}
|
||
|
|
|
||
|
|
// Coefficient-wise unary operators
|
||
|
|
EIGEN_DEVICE_FUNC
|
||
|
|
EIGEN_STRONG_INLINE const TensorCwiseUnaryOp<internal::scalar_opposite_op<Scalar>, const Derived>
|
||
|
|
operator-() const { return derived(); }
|
||
|
|
|
||
|
|
EIGEN_DEVICE_FUNC
|
||
|
|
EIGEN_STRONG_INLINE const TensorCwiseUnaryOp<internal::scalar_sqrt_op<Scalar>, const Derived>
|
||
|
|
cwiseSqrt() const { return derived(); }
|
||
|
|
|
||
|
|
EIGEN_DEVICE_FUNC
|
||
|
|
EIGEN_STRONG_INLINE const TensorCwiseUnaryOp<internal::scalar_abs_op<Scalar>, const Derived>
|
||
|
|
cwiseAbs() const { return derived(); }
|
||
|
|
|
||
|
|
// Coefficient-wise binary operators.
|
||
|
|
template<typename OtherDerived> EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
|
||
|
|
const TensorCwiseBinaryOp<internal::scalar_sum_op<Scalar>, const Derived, const OtherDerived>
|
||
|
|
operator+(const OtherDerived& other) const {
|
||
|
|
return TensorCwiseBinaryOp<internal::scalar_sum_op<Scalar>, const Derived, const OtherDerived>(derived(), other.derived());
|
||
|
|
}
|
||
|
|
|
||
|
|
protected:
|
||
|
|
template <typename OtherDerived> friend class TensorBase;
|
||
|
|
EIGEN_DEVICE_FUNC
|
||
|
|
EIGEN_STRONG_INLINE Derived& derived() { return *static_cast<Derived*>(this); }
|
||
|
|
EIGEN_DEVICE_FUNC
|
||
|
|
EIGEN_STRONG_INLINE const Derived& derived() const { return *static_cast<const Derived*>(this); }
|
||
|
|
};
|
||
|
|
|
||
|
|
} // end namespace Eigen
|
||
|
|
|
||
|
|
#endif // EIGEN_CXX11_TENSOR_TENSOR_BASE_H
|