I'm trying to implement a Vector class for use in my graphics projects. I'd like to template the vector by length and type, and I'd like to be able to use A.x, A.y, A.z, A.w to access the members of vector A (for example).
Here's my first attempt. I'm definitely not an expert in C++ templates! I was trying to implement a general Vector class with specialized versions for Vec2, Vec3, and Vec4. Each of the specialized classes would have a union allowing me to access the coordinates using their names. Unfortunately, I can't figure out how to do this without re-implementing every vector function for each of the specialized classes.
Keep in mind that I want to implement some functions that only apply to vectors of a certain length. For example, cross product only applies to vec3, but dot product (or operator*) applies to vectors of all length.
#include <cstdint>
using namespace std;
//*********************************************************************
// Vector implementation parameterized by type and size.
//*********************************************************************
template <typename T, size_t SIZE>
class Vector {
public:
T data[SIZE];
size_t size;
Vector(T* arr);
};
template <typename T, size_t SIZE> Vector<T, SIZE>::Vector(T* arr) {
size = SIZE;
for(int i=0; i<size; i++) {
data[i] = arr[i];
}
}
//*********************************************************************
// Vec2 is a specialization of Vector with length 2.
//*********************************************************************
typedef Vector<float, 2> Vec2f;
typedef Vector<int, 2> Vec2d;
template <typename T>
class Vector <T, 2> {
public:
union {
T data[2];
struct {
T x;
T y;
};
};
size_t size;
Vector(T x, T y);
};
template <typename T> Vector<T, 2>::Vector(T x, T y) {
data[0] = x; data[1] = y;
size = 2;
}
//*********************************************************************
// Vec3 is a specialization of Vector with length 3.
//*********************************************************************
typedef Vector<float, 3> Vec3f;
typedef Vector<int, 3> Vec3d;
template <typename T>
class Vector <T, 3> {
public:
union {
T data[3];
struct {
T x;
T y;
T z;
};
};
size_t size;
Vector(T x, T y, T z);
};
template <typename T> Vector<T, 3>::Vector(T x, T y, T z) {
data[0] = x; data[1] = y; data[2] = z;
size = 3;
}
//*********************************************************************
// Vec4 is a specialization of Vector with length 4.
//*********************************************************************
typedef Vector<float, 4> Vec4f;
typedef Vector<int, 4> Vec4d;
template <typename T>
class Vector <T, 4> {
public:
union {
T data[4];
struct {
T x;
T y;
T z;
T w;
};
};
size_t size;
Vector(T x, T y, T z, T w);
};
template <typename T> Vector<T, 4>::Vector(T x, T y, T z, T w) {
data[0] = x; data[1] = y; data[2] = z; data[3] = w;
size = 4;
}
The usual workaround to avoid repeatedly implementing identical features in multiple specializations is to inherit from a common base class, and implement those features in the base:
template <typename T>
struct VectorBase {
// common stuff
};
template <typename T, std::size_t N>
struct Vector : VectorBase<T> {
// ...
};
template <typename T>
struct Vector<T, 2> : VectorBase<T> {
// ...
};
template <typename T>
struct Vector<T, 3> : VectorBase<T> {
// ...
friend Vector<T, 3> cross(const Vector<T, 3>&, const Vector<T, 3>&);
};
The next problem you will have is needing to access members in the derived class from the common base (e.g., get the value of x, or size()). You do that using the Curiously Recurring Template Pattern (CRTP):
template <typename T, typename CRTP>
struct VectorBase {
CRTP& crtp() { return static_cast<CRTP&>(*this); }
const CRTP& crtp() const { return static_cast<const CRTP&>(*this); }
std::size_t size() const {
return std::extent<decltype(CRTP::data)>::value;
}
void zero() {
std::fill(std::begin(crtp().data), std::end(crtp().data), T());
}
using iterator = T*;
using const_iterator = const T*;
iterator begin() { return &crtp().data[0]; }
iterator end() { return &crtp().data[0] + size(); }
const_iterator begin() const { return &crtp().data[0]; }
const_iterator end() const { return &crtp().data[0] + size(); }
T& operator [] (std::size_t i) {
return crtp().data[i];
}
const T& operator [] (std::size_t i) const {
return crtp().data[i];
}
};
template <typename T, std::size_t N>
struct Vector : VectorBase<T, Vector<T, N>> {
union {
T data[N];
struct {
T x, y, z, w;
};
};
};
template <typename T>
struct Vector<T, 2> : VectorBase<T, Vector<T, 2>> {
union {
T data[2];
struct {
T x, y;
};
};
};
template <typename T>
struct Vector<T, 3> : VectorBase<T, Vector<T, 3>> {
union {
T data[3];
struct {
T x, y, z;
};
};
};
template <typename T, typename U, std::size_t N>
auto operator * (const Vector<T, N>& a, const Vector<U, N>& b)
-> Vector<decltype(a[0] * b[0]), N> {
Vector<decltype(a[0] * b[0]), N> result;
for (std::size_t i = 0; i < N; ++i) {
result[i] = a[i] * b[i];
}
return result;
}
template <typename T, typename U, std::size_t N>
auto dot(const Vector<T, N>& a, const Vector<U, N>& b)
-> decltype(a[0] * b[0]) {
auto product = a * b;
using V = decltype(product.x);
return std::accumulate(std::begin(product), std::end(product), V(0));
}
** Sample Code at Coliru **
There two issues with undefined behavior to which the commenters refer are:
The anonymous structs (e.g., struct { T x, y, z; };) are an GNU extension, and will thus likely only work with GCC and compatible compilers (clang).
Reading from a union member other than the member last stored into is typically undefined behavior; this particular example is at least borderline given that every type involved is standard-layout and that all values read/written are of the same type. I'll let someone else do the exact language lawyering and simply state that the code will almost certainly perform as intended when using a recent compiler that supports the anonymous struct extension.
If either of those non-standard requirements bothers you, drop the structs and unions so that the array is the only data member. Then add functions for the symbolic names, e.g. T& x() { return data[0]; }, it's only slightly more cumbersome.
Related
Is there any way in C++17 or older to use single template implementation of function compute in the code below?
template <typename T>
class C
{
public:
T x, y;
C() = default;
C(T x, T y) : x(x), y(y) {}
operator T() const { return x; }
C operator +(const C<T> &c) const { return C(x + c.x, y + c.y); }
C operator +(const T &t) const { return C(x + t, y); }
};
template <typename T>
void compute(C<T> *a, T *b, size_t size)
{
while (size--)
a[size] = a[size] + b[size];
}
template <typename T>
void compute(T *a, C<T> *b, size_t size)
{
while (size--)
a[size] = a[size] + b[size];
}
template <typename T>
void compute(C<T> *a, C<T> *b, size_t size)
{
while (size--)
a[size] = a[size] + b[size];
}
int main()
{
const size_t size = 4;
C<float> a[size];
float b[size];
compute(a, b, size);
compute(b, a, size);
compute(a, a, size);
}
Yes, if you are willing to tolerate a little boilerplate (I imagine you have many, many functions just like compute).
template <typename A, typename B>
struct is_cable_t : std::false_type {};
template <typename A>
struct is_cable_t<A, C<A>> : std::true_type {};
template <typename A>
struct is_cable_t<C<A>, A> : std::true_type {};
template <typename A>
struct is_cable_t<C<A>, C<A>> : std::true_type {};
template <typename A, typename B>
constexpr bool is_cable_v = is_cable_t<A,B>::value;
template <typename K, typename S,
typename R = typename std::enable_if<is_cable_v<K,S>>::type>
void compute(K *a, S *b, size_t size)
{
while (size--)
a[size] = a[size] + b[size];
}
I have problem with implicit conversions in C++.
I'm trying to create some Expression template for vector arithmetics (I know that same libraries already exists. I'm just learning C++ so I wanted to try something with templates).
I would like to create class Vector, that is able to compute like this:
simd::test::Vector<char, 5> a;
simd::test::Vector<short, 5> b;
auto ret = a + b + a + b;
, where on output would be Vector of shorts becouse short is bigger type than char.
Right now, I have class that is able to adds vectors of same data types. For different types I have to call explicit conversion:
//simd::test::Vector<short, 5>(a)
auto ret = simd::test::Vector<short, 5>(a) + b + simd::test::Vector<short, 5>(a) + b;
Is possible to implicit convert Vector before pass into function "operator+()"? Here is my code of Vector:
#pragma once
#include <type_traits>
namespace simd {
namespace test {
template<typename R, std::size_t Dim,
typename std::enable_if<std::is_arithmetic<R>::value>::type* = nullptr
>
class Vector_expression {
public:
static constexpr std::size_t size = Dim;
virtual const R operator[] (std::size_t index) const = 0;
virtual ~Vector_expression() = default;
};
template<typename T, std::size_t Dim>
class Vector final : public Vector_expression<T, Dim> {
private:
T data[Dim];
public:
Vector() = default;
template<typename R>
Vector(const Vector_expression<R, Dim> &obj) {
for(std::size_t index = 0; index < Dim; ++index) {
data[index] = obj[index];
}
}
template<typename R>
Vector(Vector_expression<R, Dim> &&obj) {
for(std::size_t index = 0; index < Dim; ++index) {
data[index] = obj[index];
}
}
template<typename R>
Vector<T, Dim> & operator=(const Vector_expression<R, Dim> &obj) {
for(std::size_t index = 0; index < Dim; ++index) {
data[index] = obj[index];
}
return (*this);
}
template<typename R>
Vector<T, Dim> & operator=(Vector_expression<R, Dim> && obj) {
for(std::size_t index = 0; index < Dim; ++index) {
data[index] = obj[index];
}
return (*this);
}
virtual const T operator[] (std::size_t index) const override {
return data[index];
}
T & operator[] (std::size_t index) {
return data[index];
}
virtual ~Vector() = default;
};
template<typename E1, typename E2, typename R, std::size_t Dim>
class Vector_sum final : public Vector_expression<R, Dim> {
private:
const E1 & _lhs;
const E2 & _rhs;
public:
Vector_sum() = delete;
Vector_sum(const E1 & lhs, const E2 & rhs) :
_lhs(lhs),
_rhs(rhs)
{}
virtual const R operator[] (std::size_t index) const override {
return _lhs[index] + _rhs[index];
}
virtual ~Vector_sum() = default;
};
template<typename R, std::size_t Dim>
Vector_sum<Vector_expression<R, Dim>, Vector_expression<R, Dim>, R, Dim> operator+ (const Vector_expression<R, Dim> & lhs, const Vector_expression<R, Dim> & rhs) {
return {lhs, rhs};
}
}
}
Just define an operator+ that allows different argument types. The one catch is determining the element type of the resulting sum. Probably the best option is to use whatever the result of adding two elements is. One way to write this type is:
decltype(std::declval<const R1>() + std::declval<const R2>())
Or if you know the types are built-in arithmetic types, that would be the same as
std::common_type_t<R1, R2>
Or using a trailing return type, we can take advantage of the function parameters to shorten the std::declval expressions:
template<typename R1, typename R2, std::size_t Dim>
auto operator+ (const Vector_expression<R1, Dim> & lhs,
const Vector_expression<R2, Dim> & rhs)
-> Vector_sum<Vector_expression<R1, Dim>, Vector_expression<R2, Dim>,
decltype(lhs[0] + rhs[0]), Dim>
{
return {lhs, rhs};
}
It could be done using templates and std::common_type, something like this:
template<typename T1, typename T2, size_t S>
simd::test::Vector<typename std::common_type<T1, T2>::type, S>
operator+(simd::test::Vector<T1, S> const& v1,
simd::test::Vector<T2, S> const& v2)
{
// TODO: Implementation...
}
I want to design a Matrix class which allows to specify the method of memory management, i.e.
Matrix<Allocator::vector, int> mv(2, 2);
Matrix<Allocator::unique_pointer, int> mu(2, 2);
mv(1, 1) = 1;
mu(1, 2) = 1;
and with mv and mu being compatible to each other (i.e. when I overload the "+" operator) despite different memory strategies.
I found already very good help from Class template specializations with shared functionality which does the same for an n dimensional vector class.
using dim_t = std::pair<size_t, size_t>;
enum class Allocator { vector, raw_pointer, unique_pointer };
template <typename T>
class MatrixBase {
public:
MatrixBase() : MatrixBase(0, 0){};
MatrixBase(size_t m, size_t n) : dim_(m, n){};
size_t rows() const;
virtual T& at(size_t i, size_t j);
private:
dim_t dim_;
};
template <typename T>
size_t MatrixBase<T>::rows() const {
return dim().first;
}
template <Allocator A, typename T>
class Matrix : public MatrixBase<T> {};
template <typename T>
class Matrix<Allocator::vector, T> : public MatrixBase<T> {
private:
std::vector<T> data_;
};
template <typename T>
T& Matrix<Allocator::vector, T>::at(size_t i, size_t j) {
return data_[i * rows() + j];
}
template <typename T>
class Matrix<Allocator::unique_pointer, T> : public MatrixBase<T> {
private:
std::unique_ptr<T[]> data_;
};
template <typename T>
T& Matrix<Allocator::unique_pointer, T>::at(size_t i, size_t j) {
return data_[i * rows() + j];
}
Unfortunately the compiler complains
./matrix.hpp:100:34: error: out-of-line definition of 'at' does not match any declaration in 'Matrix<linalg::Allocator::vector,
type-parameter-0-0>'
T& Matrix<Allocator::vector, T>::at(size_t i, size_t j) {
^
./matrix.hpp:103:20: error: use of undeclared identifier 'rows'
return data_[i * rows() + j];
I assume the error originates from
template <typename T>
class Matrix<Allocator::vector, T> : public MatrixBase<T> {
private:
std::vector<T> data_;
};
How do I fix this?
I have fixed Your code. Here You go:
using dim_t = std::pair<size_t, size_t>;
enum class Allocator { vector, raw_pointer, unique_pointer };
template <typename T>
class MatrixBase {
public:
MatrixBase() : MatrixBase(0, 0){};
MatrixBase(size_t m, size_t n) : dim_(m, n){};
size_t rows() const;
virtual T& at(size_t i, size_t j);
private:
dim_t dim_;
};
template <typename T>
size_t MatrixBase<T>::rows() const {
return dim_.first;
}
template <Allocator A, typename T>
class Matrix : public MatrixBase<T> {};
template <typename T>
class Matrix<Allocator::vector, T> : public MatrixBase<T> {
public:
T &at(size_t i, size_t j);
private:
std::vector<T> data_;
};
template <typename T>
T& Matrix<Allocator::vector, T>::at(size_t i, size_t j) {
return data_[i * this->rows() + j];
}
template <typename T>
class Matrix<Allocator::unique_pointer, T> : public MatrixBase<T> {
public:
T &at(size_t i, size_t j);
private:
std::unique_ptr<T[]> data_;
};
template <typename T>
T& Matrix<Allocator::unique_pointer, T>::at(size_t i, size_t j) {
return data_[i * this->rows() + j];
}
First of all, if You override a method You have to declare it in derived class. Secondly, the rows() function could not be resolved by default as a member.
Move the definition inside will solve the problem. This problem is due to scoping.
template <typename T>
class Matrix<Allocator::vector, T> : public MatrixBase<T> {
public: // or private:
T& at(size_t i, size_t j) {
return data_[i * MatrixBase<T>::rows() + j];
}
private:
std::vector<T> data_;
};
Consider the following example
class P {
public:
virtual int test();
};
class C : public P {
};
int C::P:: test() { // if you omit P, it will not compile
return 21;
}
Or you can re-declare it inside C, so it will be in C's scope.
I'm having some problem with my std::forward constructor for my template "matrix" class. Basically i want to set a matrix of type float and size 4 equal to the sum of 2 matrices of type float and size 3. I do this inside of my struct 'matrix_struct' in the function 'test'. However, MSVC error tells me that "'static_cast': cannot convert from 'matrix' to 'float'" and whenever I inspect the error it takes me to the 3rd matrix constructor with std::forward.
///////////////////////////////////
somefile.hpp
#pragma once
#include "matrix.hpp"
using matrix3 = matrix<float, 3>;
using matrix4 = matrix<float, 4>;
struct matrix_struct {
matrix4 sum;
void test(const matrix3& a, const matrix3& b)
{
sum = a + b;
}
}
///////////////////////////////////
matrix.hpp
#pragma once
#include <array>
template <typename t, size_t dim>
class matrix
{
public:
matrix() { data.fill(static_cast<t>(0) }
explicit matrix(const std::array<t, dim>& a) : data(a) {}
template <typename... args_t>
matrix(args_t... args) : data{ static_cast<t>(std::forward<args_t>(args))... } }
public:
t& at(const size_t index)
{
return data.at(index >= dim ? dim - 1 : index);
}
const t& at(const size_t index) const
{
return data.at(index >= dim ? dim - 1 : index);
}
public:
matrix& operator = (const matrix<t, dim>& other)
{
for (size_t i = 0; i < dim; ++i) {
at(i) = other.at(i);
}
return *this;
}
matrix& operator = (const std::array<t, dim>& other)
{
for (size_t i = 0; i < dim; ++i) {
at(i) = other.at(i);
}
return *this;
}
matrix& operator = (const t& other)
{
for (size_t i = 0; i < dim; ++i) {
at(i) = other;
}
return *this;
}
public:
matrix operator + (const matrix<t, dim>& other) const
{
matrix<t, dim> ret;
for (size_t i = 0; i < dim; ++i) {
ret.at(i) = at(i) + other.at(i);
}
return ret;
}
matrix operator + (const std::array<t, dim>& other) const
{
matrix<t, dim> ret;
for (size_t i = 0; i < dim; ++i) {
ret.at(i) = at(i) + other.at(i);
}
return ret;
}
matrix operator + (const t& other) const
{
matrix<t, dim> ret;
for (size_t i = 0; i < dim; ++i) {
ret.at(i) = at(i) + other;
}
return ret;
}
private:
std::array<t, dim> data;
};
Template constructors are problematic. They often create code that is a better candidate than your other constructors.
The general solution is to disable the template if its decayed type matches the class you are writing.
example:
struct MyClass
{
template
<
class Arg,
class...Rest,
std::enable_if_t
<
! std::is_same
<
std::decay_t<Arg>,
MyClass
>::value
>* = nullptr
>
MyClass(Arg&& arg, Rest&&...rest)
{
// code to construct from something that's not MyClass
// this will no longer hijack copy constructors etc.
}
};
The first problem of your code sample is addressed by #RichardHodges's answer.
Assuming you include his solution to overcome tricky copy/move constructor selection, another problem remains: you do not offer a matrix promotion/demotion service through your constructors/assignment operators.
Therefore, the following line in your test function:
sum = a + b; // a + b is a matrix<float, 3>, sum a matrix<float, 4>
Will trigger a call to the variadic template constructor and fail.
Starting from Richard's solution, you need to tweak a bit the SFINAE condition to extend it to matrices of any size. To do so, we will need a little is_matrix trait:
template <typename T, size_t Dim>
class matrix;
template <typename T>
struct is_matrix : std::false_type {};
template <typename Num, size_t Size>
struct is_matrix<matrix<Num, Size> > : std::true_type {
using value_type = Num;
};
Now the variadic template constructor becomes:
template <typename t, size_t dim>
class matrix
{
/* ... */
public:
/* ... */
template
<
class Arg,
class...Rest,
std::enable_if_t
<
! std::is_matrix
<
std::decay_t<Arg>
>::value
>* = nullptr
>
matrix(Arg&& arg, Rest&&...rest)
{
// code to construct from something that's not a matrix
// this will no longer hijack copy constructors etc.
}
};
Then, we need to add the proper matrix constructor along with the proper friend declaration:
template <typename t, typename dim>
class matrix {
public:
template <typename OtherT, size_t OtherDim>
friend class matrix;
template <size_t OtherDim>
matrix(matrix<t, OtherDim> const& other) {
size_t i = 0;
for (; i < min(OtherDim, dim); ++i) {
data[i] = other.data[i];
}
for(; i < dim; ++i) {
data[i] = t();
}
}
template <typename OtherT,
size_t OtherDim>
matrix(matrix<OtherT, OtherDim> const&) {
static_assert(std::is_same<t, OtherT>::value,
"value_type mismatch between matrices!");
}
/* ... */
};
Note: You need the friend declaration because matrix<Type1, Dim1> and matrix<Type2, Dim2> are completely different types whenever Type1 != Type2 or Dim1 != Dim2 and as such, you cannot access matrix<OtherT, OtherDim>'s private/protected members in matrix<t, dim> without that friend declaration.
This implementation will initialize the target matrix by filling its data member with the content of the given matrix when the value types match:
If the given matrix is bigger, it will be truncated.
If the given matrix is smaller, the remaining elements will be 0 initialized
If the value types don't match, the less specialized matrix<OtherT, OtherDim> constructor is the only available overload and it triggers a compiler error through a static_assert.
You would also need to define the equivalent assigment operators... Which I left as exercises.
A demo of these constructors in action can be found on Coliru
I try to make a generic, but still efficient multi dimension Point class.
What I have is a Dimensions enum
enum Dimension : std::size_t { _2D = 2, _3D = 3 };
And a Point class
template <typename T, Dimension D>
class Point : public std::array<T, D>
{
public:
T& at(size_t idx) { return std::array<T,D>::at(idx); };
const T& at(size_t idx) const { return std::array<T,D>::at(idx); };
Dimension dim() const { return D; }
...
};
I would like to create nices constructors so I added (outside my class definition)
template <typename T>
Point<T,_2D>::Point(T x, T y) { at(0) = x; at(1) = y; }
template <typename T>
Point<T,_3D>::Point(T x, T y, T z) { at(0) = x; at(1) = y; at(2) = z; }
But still I cannot use thoses. The compiler tells me only default (empty) and copy constructors are registered.
Question:
How do I define constructors with arguments list length being dependant on my Dimension template ?
I would do it like this because I'm too lazy to write many versions of the same thing:
template<class T, Dimension D>
class Point : public std::array<T,D> {
template<class... Args>
Point(Args... vs) :
std::array<T,D>{{vs...}}
{
static_assert(sizeof...(Args) == D, "wrong number of args");
}
...
};
There are a few ways to accomplish this. In your case, it might be easiest to use std::enable_if:
template <typename T, Dimension D>
class Point : public std::array<T, D>
{
public:
template <
Dimension D2=D,
typename = typename std::enable_if<D2==_2D>::type
>
Point(T x,T y);
template <
Dimension D2=D,
typename = typename std::enable_if<D2==_3D>::type
>
Point(T x,T y,T z);
T& at(size_t idx) { return std::array<T,D>::at(idx); };
const T& at(size_t idx) const { return std::array<T,D>::at(idx); };
Dimension dim() const { return D; }
...
};
Another option would be to break this into multiple classes and use specialization:
template <typename T, Dimension D>
class PointBase : public std::array<T, D>
{
public:
T& at(size_t idx) { return std::array<T,D>::at(idx); };
const T& at(size_t idx) const { return std::array<T,D>::at(idx); };
Dimension dim() const { return D; }
...
};
template <typename T, Dimension D> class Point;
template <typename T>
class Point<T,_2D> : public PointBase<T,_2D> {
public:
Point(T x,T y);
};
template <typename T>
class Point<T,_3D> : public PointBase<T,_3D> {
public:
Point(T x,T y,T z);
};