Class SparseMatrixBase

extensions/include/cuMat/src/SparseMatrixBase.h:360–487

 */
template<typename _Derived>
class SparseMatrixBase : public MatrixBase<_Derived>
{
public:
    typedef _Derived Type;
    typedef MatrixBase<_Derived> Base;
    CUMAT_PUBLIC_API
    enum
    {
		/**
		 * \brief Sparsity pattern
		 */
        SFlags = internal::traits<_Derived>::SFlags
    };

    /**
    * \brief The type of the storage indices.
    * This is fixed to an integer and not using Index, because this is faster for CUDA.
    */
    using StorageIndex = typename SparsityPattern<SFlags>::StorageIndex;

protected:
	SparsityPattern<SFlags> sparsity_;
	/**
	* \brief Number of batches.
	*/
	Index batches_;

public:
    SparseMatrixBase()
		: batches_(0)
    {}

    SparseMatrixBase(const SparsityPattern<SFlags>& sparsityPattern, Index batches)
        : sparsity_(sparsityPattern)
        , batches_(batches)
    {
        sparsityPattern.assertValid();
        CUMAT_ASSERT(CUMAT_IMPLIES(Batches == Dynamic, Batches == batches) &&
            "compile-time batch count specified, but does not match runtime batch count");
    }

    /**
    * \brief Returns the sparsity pattern of this matrix.
    * This can be used to create another matrix with the same sparsity pattern.
    * \return The sparsity pattern of this matrix.
    */
	__host__ __device__ CUMAT_STRONG_INLINE const SparsityPattern<SFlags>& getSparsityPattern() const
    {
		return sparsity_;
    }

    /**
    * \brief Checks if this matrix is initialized with a sparsity pattern and can therefore be used in expressions.
    */
    bool isInitialized() const
    {
        return sparsity_.rows > 0 && sparsity_.cols > 0 && batches_ > 0;
    }