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ArrayFire: sparse

Create a sparse array. More...

Create a sparse array.

The sparse creation function has 3 different types of inputs it can accept.

1. Independent af::array for values, row indices and column indices.
2. Independent host or device native arrays for values, row indices and column indices.
3. A dense af::array.

This function converts af::array of values, row indices and column indices into a sparse array.

Note

This function only create references of these arrays into the sparse data structure and does not do deep copies.

Parameters

[out] out af::array for the sparse array [in] nRows is the number of rows in the dense matrix [in] nCols is the number of columns in the dense matrix [in] values is the af_array containing the non-zero elements of the matrix [in] rowIdx is the row indices for the sparse array [in] colIdx is the column indices for the sparse array [in] stype is the storage format of the sparse array

Returns

AF_SUCCESS if the execution completes properly

This function converts a dense af_array into a sparse array.

Parameters

[out] out af_array for the sparse array with the given storage type [in] dense is the source dense matrix [in] stype is the storage format of the sparse array

Returns

AF_SUCCESS if the execution completes properly

This function converts host or device arrays of values, row indices and column indices into a sparse array on the device.

Note

The rules for deep copy/shallow copy/reference are the same as for creating a regular af::array.

Parameters

[out] out af::array for the sparse array [in] nRows is the number of rows in the dense matrix [in] nCols is the number of columns in the dense matrix [in] nNZ is the number of non zero elements in the dense matrix [in] values is the host array containing the non-zero elements of the matrix [in] rowIdx is the row indices for the sparse array [in] colIdx is the column indices for the sparse array [in] type is the data type for the matrix [in] stype is the storage format of the sparse array [in] src is afHost if inputs are host arrays and afDevice if the arrays are device arrays.

Returns

AF_SUCCESS if the execution completes properly

This function converts a dense af::array into a sparse array.

Parameters

[in] dense is the source dense matrix [in] stype is the storage format of the sparse array

Returns

af::array for the sparse array with the given storage type

A multi dimensional data container.

@ AF_STORAGE_CSR

Storage type is CSR.

AFAPI array sparse(const dim_t nRows, const dim_t nCols, const array values, const array rowIdx, const array colIdx, const af::storage stype=AF_STORAGE_CSR)

This function converts af::array of values, row indices and column indices into a sparse array.

AFAPI array dense(const array sparse)

This function converts af::array of values, row indices and column indices into a sparse array.

Note

This function only create references of these arrays into the sparse data structure and does not do deep copies.

Parameters

[in] nRows is the number of rows in the dense matrix [in] nCols is the number of columns in the dense matrix [in] values is the af::array containing the non-zero elements of the matrix [in] rowIdx is the row indices for the sparse array [in] colIdx is the column indices for the sparse array [in] stype is the storage format of the sparse array

Returns

af::array for the sparse array

float v[] = {5, 8, 3, 6};

int r[] = {0, 0, 2, 3, 4};

int c[] = {0, 1, 2, 1};

const int M = 4, N = 4, nnz = 4;

array vals = array(dim4(nnz), v);

array row_ptr = array(dim4(M + 1), r);

array col_idx = array(dim4(nnz), c);

This function converts host or device arrays of values, row indices and column indices into a sparse array on the device.

Note

The rules for deep copy/shallow copy/reference are the same as for creating a regular af::array.

Parameters

[in] nRows is the number of rows in the dense matrix [in] nCols is the number of columns in the dense matrix [in] nNZ is the number of non zero elements in the dense matrix [in] values is the host array containing the non-zero elements of the matrix [in] rowIdx is the row indices for the sparse array [in] colIdx is the column indices for the sparse array [in] type is the data type for the matrix [in] stype is the storage format of the sparse array [in] src is afHost if inputs are host arrays and afDevice if the arrays are device arrays.

Returns

af::array for the sparse array

float vals[] = {5, 8, 3, 6};

int row_ptr[] = {0, 0, 2, 3, 4};

int col_idx[] = {0, 1, 2, 1};

const int M = 4, N = 4, nnz = 4;

@ f32

32-bit floating point values

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