mirror of
https://gitlab.com/libeigen/eigen.git
synced 2024-12-21 07:19:46 +08:00
274 lines
6.5 KiB
C++
274 lines
6.5 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/.
|
|
|
|
#include "main.h"
|
|
|
|
#include <Eigen/CXX11/Tensor>
|
|
|
|
using Eigen::Tensor;
|
|
using Eigen::RowMajor;
|
|
|
|
static void test_0d()
|
|
{
|
|
Tensor<int, 0> scalar1;
|
|
Tensor<int, 0, RowMajor> scalar2;
|
|
|
|
TensorMap<Tensor<const int, 0>> scalar3(scalar1.data());
|
|
TensorMap<Tensor<const int, 0, RowMajor>> scalar4(scalar2.data());
|
|
|
|
scalar1() = 7;
|
|
scalar2() = 13;
|
|
|
|
VERIFY_IS_EQUAL(scalar1.rank(), 0);
|
|
VERIFY_IS_EQUAL(scalar1.size(), 1);
|
|
|
|
VERIFY_IS_EQUAL(scalar3(), 7);
|
|
VERIFY_IS_EQUAL(scalar4(), 13);
|
|
}
|
|
|
|
static void test_1d()
|
|
{
|
|
Tensor<int, 1> vec1(6);
|
|
Tensor<int, 1, RowMajor> vec2(6);
|
|
|
|
TensorMap<Tensor<const int, 1>> vec3(vec1.data(), 6);
|
|
TensorMap<Tensor<const int, 1, RowMajor>> vec4(vec2.data(), 6);
|
|
|
|
vec1(0) = 4; vec2(0) = 0;
|
|
vec1(1) = 8; vec2(1) = 1;
|
|
vec1(2) = 15; vec2(2) = 2;
|
|
vec1(3) = 16; vec2(3) = 3;
|
|
vec1(4) = 23; vec2(4) = 4;
|
|
vec1(5) = 42; vec2(5) = 5;
|
|
|
|
VERIFY_IS_EQUAL(vec1.rank(), 1);
|
|
VERIFY_IS_EQUAL(vec1.size(), 6);
|
|
VERIFY_IS_EQUAL(vec1.dimension(0), 6);
|
|
|
|
VERIFY_IS_EQUAL(vec3(0), 4);
|
|
VERIFY_IS_EQUAL(vec3(1), 8);
|
|
VERIFY_IS_EQUAL(vec3(2), 15);
|
|
VERIFY_IS_EQUAL(vec3(3), 16);
|
|
VERIFY_IS_EQUAL(vec3(4), 23);
|
|
VERIFY_IS_EQUAL(vec3(5), 42);
|
|
|
|
VERIFY_IS_EQUAL(vec4(0), 0);
|
|
VERIFY_IS_EQUAL(vec4(1), 1);
|
|
VERIFY_IS_EQUAL(vec4(2), 2);
|
|
VERIFY_IS_EQUAL(vec4(3), 3);
|
|
VERIFY_IS_EQUAL(vec4(4), 4);
|
|
VERIFY_IS_EQUAL(vec4(5), 5);
|
|
}
|
|
|
|
static void test_2d()
|
|
{
|
|
Tensor<int, 2> mat1(2,3);
|
|
Tensor<int, 2, RowMajor> mat2(2,3);
|
|
|
|
mat1(0,0) = 0;
|
|
mat1(0,1) = 1;
|
|
mat1(0,2) = 2;
|
|
mat1(1,0) = 3;
|
|
mat1(1,1) = 4;
|
|
mat1(1,2) = 5;
|
|
|
|
mat2(0,0) = 0;
|
|
mat2(0,1) = 1;
|
|
mat2(0,2) = 2;
|
|
mat2(1,0) = 3;
|
|
mat2(1,1) = 4;
|
|
mat2(1,2) = 5;
|
|
|
|
TensorMap<Tensor<const int, 2>> mat3(mat1.data(), 2, 3);
|
|
TensorMap<Tensor<const int, 2, RowMajor>> mat4(mat2.data(), 2, 3);
|
|
|
|
VERIFY_IS_EQUAL(mat3.rank(), 2);
|
|
VERIFY_IS_EQUAL(mat3.size(), 6);
|
|
VERIFY_IS_EQUAL(mat3.dimension(0), 2);
|
|
VERIFY_IS_EQUAL(mat3.dimension(1), 3);
|
|
|
|
VERIFY_IS_EQUAL(mat4.rank(), 2);
|
|
VERIFY_IS_EQUAL(mat4.size(), 6);
|
|
VERIFY_IS_EQUAL(mat4.dimension(0), 2);
|
|
VERIFY_IS_EQUAL(mat4.dimension(1), 3);
|
|
|
|
VERIFY_IS_EQUAL(mat3(0,0), 0);
|
|
VERIFY_IS_EQUAL(mat3(0,1), 1);
|
|
VERIFY_IS_EQUAL(mat3(0,2), 2);
|
|
VERIFY_IS_EQUAL(mat3(1,0), 3);
|
|
VERIFY_IS_EQUAL(mat3(1,1), 4);
|
|
VERIFY_IS_EQUAL(mat3(1,2), 5);
|
|
|
|
VERIFY_IS_EQUAL(mat4(0,0), 0);
|
|
VERIFY_IS_EQUAL(mat4(0,1), 1);
|
|
VERIFY_IS_EQUAL(mat4(0,2), 2);
|
|
VERIFY_IS_EQUAL(mat4(1,0), 3);
|
|
VERIFY_IS_EQUAL(mat4(1,1), 4);
|
|
VERIFY_IS_EQUAL(mat4(1,2), 5);
|
|
}
|
|
|
|
static void test_3d()
|
|
{
|
|
Tensor<int, 3> mat1(2,3,7);
|
|
Tensor<int, 3, RowMajor> mat2(2,3,7);
|
|
|
|
int val = 0;
|
|
for (int i = 0; i < 2; ++i) {
|
|
for (int j = 0; j < 3; ++j) {
|
|
for (int k = 0; k < 7; ++k) {
|
|
mat1(i,j,k) = val;
|
|
mat2(i,j,k) = val;
|
|
val++;
|
|
}
|
|
}
|
|
}
|
|
|
|
TensorMap<Tensor<const int, 3>> mat3(mat1.data(), 2, 3, 7);
|
|
TensorMap<Tensor<const int, 3, RowMajor>> mat4(mat2.data(), array<DenseIndex, 3>{2, 3, 7});
|
|
|
|
VERIFY_IS_EQUAL(mat3.rank(), 3);
|
|
VERIFY_IS_EQUAL(mat3.size(), 2*3*7);
|
|
VERIFY_IS_EQUAL(mat3.dimension(0), 2);
|
|
VERIFY_IS_EQUAL(mat3.dimension(1), 3);
|
|
VERIFY_IS_EQUAL(mat3.dimension(2), 7);
|
|
|
|
VERIFY_IS_EQUAL(mat4.rank(), 3);
|
|
VERIFY_IS_EQUAL(mat4.size(), 2*3*7);
|
|
VERIFY_IS_EQUAL(mat4.dimension(0), 2);
|
|
VERIFY_IS_EQUAL(mat4.dimension(1), 3);
|
|
VERIFY_IS_EQUAL(mat4.dimension(2), 7);
|
|
|
|
val = 0;
|
|
for (int i = 0; i < 2; ++i) {
|
|
for (int j = 0; j < 3; ++j) {
|
|
for (int k = 0; k < 7; ++k) {
|
|
VERIFY_IS_EQUAL(mat3(i,j,k), val);
|
|
VERIFY_IS_EQUAL(mat4(i,j,k), val);
|
|
val++;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
|
|
static void test_from_tensor()
|
|
{
|
|
Tensor<int, 3> mat1(2,3,7);
|
|
Tensor<int, 3, RowMajor> mat2(2,3,7);
|
|
|
|
int val = 0;
|
|
for (int i = 0; i < 2; ++i) {
|
|
for (int j = 0; j < 3; ++j) {
|
|
for (int k = 0; k < 7; ++k) {
|
|
mat1(i,j,k) = val;
|
|
mat2(i,j,k) = val;
|
|
val++;
|
|
}
|
|
}
|
|
}
|
|
|
|
TensorMap<Tensor<int, 3>> mat3(mat1);
|
|
TensorMap<Tensor<int, 3, RowMajor>> mat4(mat2);
|
|
|
|
VERIFY_IS_EQUAL(mat3.rank(), 3);
|
|
VERIFY_IS_EQUAL(mat3.size(), 2*3*7);
|
|
VERIFY_IS_EQUAL(mat3.dimension(0), 2);
|
|
VERIFY_IS_EQUAL(mat3.dimension(1), 3);
|
|
VERIFY_IS_EQUAL(mat3.dimension(2), 7);
|
|
|
|
VERIFY_IS_EQUAL(mat4.rank(), 3);
|
|
VERIFY_IS_EQUAL(mat4.size(), 2*3*7);
|
|
VERIFY_IS_EQUAL(mat4.dimension(0), 2);
|
|
VERIFY_IS_EQUAL(mat4.dimension(1), 3);
|
|
VERIFY_IS_EQUAL(mat4.dimension(2), 7);
|
|
|
|
val = 0;
|
|
for (int i = 0; i < 2; ++i) {
|
|
for (int j = 0; j < 3; ++j) {
|
|
for (int k = 0; k < 7; ++k) {
|
|
VERIFY_IS_EQUAL(mat3(i,j,k), val);
|
|
VERIFY_IS_EQUAL(mat4(i,j,k), val);
|
|
val++;
|
|
}
|
|
}
|
|
}
|
|
|
|
TensorFixedSize<int, Sizes<2,3,7>> mat5;
|
|
|
|
val = 0;
|
|
for (int i = 0; i < 2; ++i) {
|
|
for (int j = 0; j < 3; ++j) {
|
|
for (int k = 0; k < 7; ++k) {
|
|
mat5(i,j,k) = val;
|
|
val++;
|
|
}
|
|
}
|
|
}
|
|
|
|
TensorMap<TensorFixedSize<int, Sizes<2,3,7>>> mat6(mat5);
|
|
|
|
VERIFY_IS_EQUAL(mat6.rank(), 3);
|
|
VERIFY_IS_EQUAL(mat6.size(), 2*3*7);
|
|
VERIFY_IS_EQUAL(mat6.dimension(0), 2);
|
|
VERIFY_IS_EQUAL(mat6.dimension(1), 3);
|
|
VERIFY_IS_EQUAL(mat6.dimension(2), 7);
|
|
|
|
val = 0;
|
|
for (int i = 0; i < 2; ++i) {
|
|
for (int j = 0; j < 3; ++j) {
|
|
for (int k = 0; k < 7; ++k) {
|
|
VERIFY_IS_EQUAL(mat6(i,j,k), val);
|
|
val++;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
|
|
static int f(const TensorMap<Tensor<int, 3> >& tensor) {
|
|
// Size<0> empty;
|
|
EIGEN_STATIC_ASSERT((internal::array_size<Sizes<>>::value == 0), YOU_MADE_A_PROGRAMMING_MISTAKE);
|
|
EIGEN_STATIC_ASSERT((internal::array_size<DSizes<int, 0>>::value == 0), YOU_MADE_A_PROGRAMMING_MISTAKE);
|
|
Tensor<int, 0> result = tensor.sum();
|
|
return result();
|
|
}
|
|
|
|
static void test_casting()
|
|
{
|
|
Tensor<int, 3> tensor(2,3,7);
|
|
|
|
int val = 0;
|
|
for (int i = 0; i < 2; ++i) {
|
|
for (int j = 0; j < 3; ++j) {
|
|
for (int k = 0; k < 7; ++k) {
|
|
tensor(i,j,k) = val;
|
|
val++;
|
|
}
|
|
}
|
|
}
|
|
|
|
TensorMap<Tensor<int, 3>> map(tensor);
|
|
int sum1 = f(map);
|
|
int sum2 = f(tensor);
|
|
|
|
VERIFY_IS_EQUAL(sum1, sum2);
|
|
VERIFY_IS_EQUAL(sum1, 861);
|
|
}
|
|
|
|
void test_cxx11_tensor_map()
|
|
{
|
|
CALL_SUBTEST(test_0d());
|
|
CALL_SUBTEST(test_1d());
|
|
CALL_SUBTEST(test_2d());
|
|
CALL_SUBTEST(test_3d());
|
|
|
|
CALL_SUBTEST(test_from_tensor());
|
|
CALL_SUBTEST(test_casting());
|
|
}
|