Tensor.h File Reference

Contains the Tensor class for representing N-dimensional arrays with various data types. More...

#include <variant>
#include <vector>
#include <cstdint>
#include <string>
#include <cmath>
#include <numeric>
#include <iostream>
#include <sstream>
#include <array>
#include <type_traits>
#include <utility>
#include <opencv2/core.hpp>
#include <opencv2/imgproc.hpp>
#include <tl/expected.hpp>
#include <ReduceOps.h>
#include "NeuralError.h"

Go to the source code of this file.

Classes
struct	NN::is_std_array< T >
	Checks if a type is a std::array. More...
struct	NN::is_std_array< std::array< U, N > >
struct	NN::map_array_traits< Func, InputElem >
	Traits for mapping a function over a std::array. More...
class	NN::Tensor
	A Tensor represents a N-dimensional array containing elements of the same type. Can be used as input and output for inference. More...

Namespaces
namespace	NN
	NN Neural Network Library containing Tensor and NeuralNet classes for inference.

Typedefs
using	NN::Shape = std::vector< int64_t >
	Shape of a N-dimensional Tensor represented as the size in each dimension. Can be -1 in case of dynamic dimensions.
template<typename T >
using	NN::decay_t = typename std::decay< T >::type
	Remove cv/ref qualifiers and decay to check std::array<T, N>

Enumerations
enum class	NN::TensorType
	TensorType encapsulates the supported data types of tensor elements. The supported types are: More...

Functions
int64_t	NN::shapeNumElements (const Shape &shape)
	Calculates the number of elements from a given Shape.
int64_t	NN::shapeToStride (const Shape &shape, uint64_t axis)
	Calculates the stride to iterate elements in a given axis.
std::string	NN::shapeToString (const Shape &shape)
	Creates a human-readable string from the given shape.
constexpr const char *	NN::toString (TensorType type)
	Convert the TensorType to a human-readable string.

Detailed Description

Contains the Tensor class for representing N-dimensional arrays with various data types.

Author

Dominik Wüst (domin.nosp@m.ik.w.nosp@m.uest@.nosp@m.iosb.nosp@m..frau.nosp@m.nhof.nosp@m.er.de)

Date

May 2025