| // 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/. | |
| #include "main.h" | |
| #include <Eigen/CXX11/Tensor> | |
| using Eigen::Tensor; | |
| template<int DataLayout> | |
| static void test_simple_striding() | |
| { | |
| Tensor<float, 4, DataLayout> tensor(2,3,5,7); | |
| tensor.setRandom(); | |
| array<ptrdiff_t, 4> strides; | |
| strides[0] = 1; | |
| strides[1] = 1; | |
| strides[2] = 1; | |
| strides[3] = 1; | |
| Tensor<float, 4, DataLayout> no_stride; | |
| no_stride = tensor.stride(strides); | |
| VERIFY_IS_EQUAL(no_stride.dimension(0), 2); | |
| VERIFY_IS_EQUAL(no_stride.dimension(1), 3); | |
| VERIFY_IS_EQUAL(no_stride.dimension(2), 5); | |
| VERIFY_IS_EQUAL(no_stride.dimension(3), 7); | |
| for (int i = 0; i < 2; ++i) { | |
| for (int j = 0; j < 3; ++j) { | |
| for (int k = 0; k < 5; ++k) { | |
| for (int l = 0; l < 7; ++l) { | |
| VERIFY_IS_EQUAL(tensor(i,j,k,l), no_stride(i,j,k,l)); | |
| } | |
| } | |
| } | |
| } | |
| strides[0] = 2; | |
| strides[1] = 4; | |
| strides[2] = 2; | |
| strides[3] = 3; | |
| Tensor<float, 4, DataLayout> stride; | |
| stride = tensor.stride(strides); | |
| VERIFY_IS_EQUAL(stride.dimension(0), 1); | |
| VERIFY_IS_EQUAL(stride.dimension(1), 1); | |
| VERIFY_IS_EQUAL(stride.dimension(2), 3); | |
| VERIFY_IS_EQUAL(stride.dimension(3), 3); | |
| for (int i = 0; i < 1; ++i) { | |
| for (int j = 0; j < 1; ++j) { | |
| for (int k = 0; k < 3; ++k) { | |
| for (int l = 0; l < 3; ++l) { | |
| VERIFY_IS_EQUAL(tensor(2*i,4*j,2*k,3*l), stride(i,j,k,l)); | |
| } | |
| } | |
| } | |
| } | |
| } | |
| template<int DataLayout> | |
| static void test_striding_as_lvalue() | |
| { | |
| Tensor<float, 4, DataLayout> tensor(2,3,5,7); | |
| tensor.setRandom(); | |
| array<ptrdiff_t, 4> strides; | |
| strides[0] = 2; | |
| strides[1] = 4; | |
| strides[2] = 2; | |
| strides[3] = 3; | |
| Tensor<float, 4, DataLayout> result(3, 12, 10, 21); | |
| result.stride(strides) = tensor; | |
| for (int i = 0; i < 2; ++i) { | |
| for (int j = 0; j < 3; ++j) { | |
| for (int k = 0; k < 5; ++k) { | |
| for (int l = 0; l < 7; ++l) { | |
| VERIFY_IS_EQUAL(tensor(i,j,k,l), result(2*i,4*j,2*k,3*l)); | |
| } | |
| } | |
| } | |
| } | |
| array<ptrdiff_t, 4> no_strides; | |
| no_strides[0] = 1; | |
| no_strides[1] = 1; | |
| no_strides[2] = 1; | |
| no_strides[3] = 1; | |
| Tensor<float, 4, DataLayout> result2(3, 12, 10, 21); | |
| result2.stride(strides) = tensor.stride(no_strides); | |
| for (int i = 0; i < 2; ++i) { | |
| for (int j = 0; j < 3; ++j) { | |
| for (int k = 0; k < 5; ++k) { | |
| for (int l = 0; l < 7; ++l) { | |
| VERIFY_IS_EQUAL(tensor(i,j,k,l), result2(2*i,4*j,2*k,3*l)); | |
| } | |
| } | |
| } | |
| } | |
| } | |
| EIGEN_DECLARE_TEST(cxx11_tensor_striding) | |
| { | |
| CALL_SUBTEST(test_simple_striding<ColMajor>()); | |
| CALL_SUBTEST(test_simple_striding<RowMajor>()); | |
| CALL_SUBTEST(test_striding_as_lvalue<ColMajor>()); | |
| CALL_SUBTEST(test_striding_as_lvalue<RowMajor>()); | |
| } |