blob: f1df827f979b3da9879e8f4e9d4e39d62328cf95 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
|
// 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_ASSIGN_H
#define EIGEN_CXX11_TENSOR_TENSOR_ASSIGN_H
namespace Eigen {
/** \class TensorAssign
* \ingroup CXX11_Tensor_Module
*
* \brief The tensor assignment class.
*
* This class is responsible for triggering the evaluation of the expressions
* used on the lhs and rhs of an assignment operator and copy the result of
* the evaluation of the rhs expression at the address computed during the
* evaluation lhs expression.
*
* TODO: vectorization. For now the code only uses scalars
* TODO: parallelisation using multithreading on cpu, or kernels on gpu.
*/
namespace internal {
template<typename Derived1, typename Derived2>
struct TensorAssign
{
typedef typename Derived1::Index Index;
EIGEN_DEVICE_FUNC
static inline void run(Derived1& dst, const Derived2& src)
{
TensorEvaluator<Derived1> evalDst(dst);
TensorEvaluator<Derived2> evalSrc(src);
const Index size = dst.size();
for(Index i = 0; i < size; ++i) {
evalDst.coeffRef(i) = evalSrc.coeff(i);
}
}
};
} // end namespace internal
} // end namespace Eigen
#endif // EIGEN_CXX11_TENSOR_TENSOR_ASSIGN_H
|
