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// 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(); }
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE const TensorCwiseUnaryOp<internal::scalar_pow_op<Scalar>, const Derived>
cwisePow(Scalar exponent) const {
return TensorCwiseUnaryOp<internal::scalar_pow_op<Scalar>, const Derived>
(derived(), internal::scalar_pow_op<Scalar>(exponent));
}
EIGEN_DEVICE_FUNC
EIGEN_STRONG_INLINE const TensorCwiseUnaryOp<internal::scalar_multiple_op<Scalar>, const Derived>
operator * (Scalar scale) const {
return TensorCwiseUnaryOp<internal::scalar_multiple_op<Scalar>, const Derived>
(derived(), internal::scalar_multiple_op<Scalar>(scale));
}
// 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