Class TensorShape

include/armnn/Tensor.hpp:20–150

{

class TensorShape
{
public:
    /// Empty (invalid) constructor.
    TensorShape();

    /// Constructor for TensorShape
    /// @param numDimensions - Tensor rank.
    /// @param initDimensionsSpecificity (optional) - value to initialize the specificity of each dimension size.
    explicit TensorShape(unsigned int numDimensions, bool initDimensionsSpecificity = true);

    /// Constructor for TensorShape
    /// @param numDimensions - Tensor rank.
    /// @param dimensionSizes - Size of each of dimension.
    TensorShape(unsigned int numDimensions, const unsigned int* dimensionSizes);

    /// Constructor for TensorShape
    /// @param dimensionSizeList - Size of each of dimension.
    TensorShape(std::initializer_list<unsigned int> dimensionSizeList);

    /// Copy Constructor for TensorShape
    /// @param other - TensorShape to copy from.
    TensorShape(const TensorShape& other);

    /// Constructor for TensorShape
    /// @param numDimensions - Tensor rank.
    /// @param dimensionSizes - Size of each of dimension.
    /// @param dimensionsSpecificity - Flags to indicate which dimension has its size specified.
    TensorShape(unsigned int numDimensions, const unsigned int* dimensionSizes, const bool* dimensionsSpecificity);

    /// Constructor for TensorShape
    /// @param dimensionSizeList - Size of each of dimension.
    /// @param dimensionsSpecificityList - Flags to indicate which dimension size is specified.
    TensorShape(std::initializer_list<unsigned int> dimensionSizeList,
                std::initializer_list<bool> dimensionsSpecificityList);

    /// Constructor for TensorShape
    /// @param dimensionality - Parameter to indicate if the Tensor is a Scalar, a Tensor of known dimensionality
    /// or a Tensor of unknown dimensionality.
    explicit TensorShape(Dimensionality dimensionality);

    /// Assignation function
    /// @param other - TensorShape to copy from.
    TensorShape& operator=(const TensorShape& other);

    /// Read only operator
    /// @param i - Dimension index.
    unsigned int operator[](unsigned int i) const;

    /// Read and write operator
    /// @param i - Dimension index.
    unsigned int& operator[](unsigned int i);

    /// Equality comparison operator
    /// @param other - TensorShape to compare with.
    bool operator==(const TensorShape& other) const;

    /// Inequality comparison operator