What is the good way (understand idiomatic/good practice) to dynamically create a multidimensional array in C++.
For example let say I have tree integers w
, h
and d
and I want to create an array MyEnum my_array[w][h][d]
. (Of course w, h and d are not known at compile time).
Is it best to use nested std::vector or use new or something ?
Bonus question : Is it possible to set the dimension dynamically too ?
We can create an array of pointers also dynamically using a double pointer. Once we have an array pointers allocated dynamically, we can dynamically allocate memory and for every row like method 2.
A 2D array can be dynamically allocated in C using a single pointer. This means that a memory block of size row*column*dataTypeSize is allocated using malloc and pointer arithmetic can be used to access the matrix elements.
A simple dynamic array can be constructed by allocating an array of fixed-size, typically larger than the number of elements immediately required.
A 2D array of pointers can be created following the way shown below. int *arr[5][5]; //creating a 2D integer pointer array of 5 rows and 5 columns. The element of the 2D array is been initialized by assigning the address of some other element.
In general, nesting std::vector
is not a great idea. It's usually a better plan to allocate memory which will hold the entirety of your multidimensonal array as a contiguous block, and then index into it as if it were multidimensional. This memory block could be allocated via new
, but unless you need some precise control over how it's allocated (custom allocator), I'd recommend sticking with a single std::vector
.
It's not difficult to create a class to manage such a resource in which the number of dimensions can be set dynamically. A good way to organize such a class is to keep track of the allocated memory, the sizes of each dimension, and the stride pattern for each dimension. The strides describe how many elements must be incremented over in order to reach the next element along a given dimension.
This allows efficient indexing (just pointer arithmetic), as well as very efficient reshaping: as long as the number of elements doesn't change, this just requires changing the shape and stride arrays.
Example:
Here's a very basic class which will store such a dynamical multidimensional array of double
s. It stores data in row-major order, meaning that the last index varies the fastest. So for a 2D array, the first row is stored contiguously, followed by the second row, and so on.
You can reshape the array, changing the number of dimensions, if you want. A basic element access operator[]
is shown, too. There's nothing else fancy about the class, but you can extend it to provide whatever functionality you want, e.g., iterators, mathematical operations on the data, I/O operators, etc.
/*! \file dynamic_array.h
* Basic dynamic multi-dimensional array of doubles.
*/
#ifndef DYNAMIC_ARRAY_H
#define DYNAMIC_ARRAY_H
#include <vector>
#include <numeric>
#include <functional>
class
dynamic_array
{
public:
dynamic_array(const std::vector<int>& shape)
: m_nelem(std::accumulate(shape.begin(), shape.end(),
1, std::multiplies<int>()))
, m_ndim(shape.size())
, m_shape(shape)
{
compute_strides();
m_data.resize(m_nelem, 0.0);
}
~dynamic_array()
{
}
const double& operator[](int i) const
{
return m_data.at(i);
}
double& operator[](int i)
{
return m_data.at(i);
}
const double& operator[](const std::vector<int>& indices) const
{
auto flat_index = std::inner_product(
indices.begin(), indices.end(),
m_strides.begin(), 0);
return m_data.at(flat_index);
}
double& operator[](const std::vector<int>& indices)
{
auto flat_index = std::inner_product(
indices.begin(), indices.end(),
m_strides.begin(), 0);
return m_data.at(flat_index);
}
void reshape(const std::vector<int>& new_shape)
{
auto new_nelem = std::accumulate(
new_shape.begin(), new_shape.end(),
1, std::multiplies<int>());
if (new_nelem != m_nelem) {
throw std::invalid_argument("dynamic_array::reshape(): "
"number of elements must not change.");
}
m_nelem = new_nelem;
m_ndim = new_shape.size();
m_shape = new_shape;
compute_strides();
}
const std::vector<int>& shape() const
{
return m_shape;
}
const std::vector<int>& strides() const
{
return m_strides;
}
int ndim() const
{
return m_ndim;
}
int nelem() const
{
return m_nelem;
}
private:
int m_ndim;
int m_nelem;
std::vector<int> m_shape;
std::vector<int> m_strides;
std::vector<double> m_data;
void compute_strides()
{
m_strides.resize(m_ndim);
m_strides.at(m_ndim - 1) = 1;
std::partial_sum(m_shape.rbegin(),
m_shape.rend() - 1,
m_strides.rbegin() + 1,
std::multiplies<int>());
}
};
#endif // include guard
Here's a basic demo of the functionality.
/*! \file test.cc
* Basic test of the dynamic_array class.
*/
#include "dynamic_array.h"
#include <iostream>
int main(int /* argc */, const char * /* argv */[])
{
dynamic_array arr({2, 3});
std::cout << "Shape: { ";
for (auto& each : arr.shape())
std::cout << each << " ";
std::cout << "}" << std::endl;
std::cout << "Strides: { ";
for (auto& each : arr.strides())
std::cout << each << " ";
std::cout << "}" << std::endl;
// Reshape array, changing number of dimensions, but
// keeping number of elements constant.
arr.reshape({6});
std::cout << "Shape: { ";
for (auto& each : arr.shape())
std::cout << each << " ";
std::cout << "}" << std::endl;
// Verify that the stride pattern has now also changed.
std::cout << "Strides: { ";
for (auto& each : arr.strides())
std::cout << each << " ";
std::cout << "}" << std::endl;
return 0;
}
You can compile the test program with g++ -std=c++14 -o test test.cc
, assuming the file defining the class is in the same directory as test.cc
.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With