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qttools.kernels.datastructure.cupy.dsdbcsr#

source module qttools.kernels.datastructure.cupy.dsdbcsr

Functions

  • find_inds — Finds the corresponding indices of the given rows and columns.

  • densify_block — Fills the dense block with the given data.

  • sparsify_block — Fills the data with the given dense block.

  • compute_rowptr_map — Computes the block-sorting index and the rowptr map.

source find_inds(rowptr_map: dict, block_offsets: NDArray, self_cols: NDArray, rows: NDArray, cols: NDArray) → tuple[NDArray, NDArray]

Finds the corresponding indices of the given rows and columns.

Parameters

  • rowptr_map : dict — The row pointer map.

  • block_offsets : NDArray — The block offsets.

  • self_cols : NDArray — The columns of this matrix.

  • rows : NDArray — The rows to find the indices for.

  • cols : NDArray — The columns to find the indices for.

Returns

  • inds : NDArray — The indices of the given rows and columns.

  • value_inds : NDArray — The matching indices of this matrix.

source densify_block(block: NDArray, block_offset: NDArray, self_cols: NDArray, rowptr: NDArray, data: NDArray)

Fills the dense block with the given data.

Parameters

  • block : NDArray — Preallocated dense block. Should be filled with zeros.

  • block_offset : NDArray — The block offset.

  • self_cols : NDArray — The column indices of this matrix.

  • rowptr : NDArray — The row pointer of this matrix block.

  • data : NDArray — The data to fill the block with.

source sparsify_block(block: NDArray, block_offset: NDArray, self_cols: NDArray, rowptr: NDArray, data: NDArray)

Fills the data with the given dense block.

Parameters

  • block : NDArray — The dense block to sparsify.

  • block_offset : NDArray — The block offset.

  • self_cols : NDArray — The column indices of this matrix.

  • rowptr : NDArray — The row pointer of this matrix block.

  • data : NDArray — The data to be filled with the block.

source compute_rowptr_map(coo_rows: NDArray, coo_cols: NDArray, block_sizes: NDArray) → dict

Computes the block-sorting index and the rowptr map.

Note

This is a combination of the bare block-sorting index computation and the rowptr map computation.

Parameters

  • coo_rows : NDArray — The row indices of the matrix in coordinate format.

  • coo_cols : NDArray — The column indices of the matrix in coordinate format.

  • block_sizes : NDArray — The block sizes of the block-sparse matrix we want to construct.

Returns

  • sort_index : NDArray — The block-sorting index for the sparse matrix.

  • rowptr_map : dict — The row pointer map, describing the block-sparse matrix in blockwise column-sparse-row format.