|  | // 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)); | 
|  | } | 
|  | } | 
|  | } | 
|  | } | 
|  | } | 
|  |  | 
|  |  | 
|  | void 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>()); | 
|  | } |