Helper functions

Functions

Helper functions

Functions
hipsparseStatus_t	hipsparseLtSpMMAPrune (const hipsparseLtHandle_t *handle, const hipsparseLtMatmulDescriptor_t *matmulDescr, const void *d_in, void *d_out, hipsparseLtPruneAlg_t pruneAlg, hipStream_t stream)
	Purnes a dense matrix.
hipsparseStatus_t	hipsparseLtSpMMAPruneCheck (const hipsparseLtHandle_t *handle, const hipsparseLtMatmulDescriptor_t *matmulDescr, const void *d_in, int *d_valid, hipStream_t stream)
	checks the correctness of the pruning structure for a given matrix.
hipsparseStatus_t	hipsparseLtSpMMAPrune2 (const hipsparseLtHandle_t *handle, const hipsparseLtMatDescriptor_t *sparseMatDescr, int isSparseA, hipsparseOperation_t op, const void *d_in, void *d_out, hipsparseLtPruneAlg_t pruneAlg, hipStream_t stream)
	Purnes a dense matrix.
hipsparseStatus_t	hipsparseLtSpMMAPruneCheck2 (const hipsparseLtHandle_t *handle, const hipsparseLtMatDescriptor_t *sparseMatDescr, int isSparseA, hipsparseOperation_t op, const void *d_in, int *d_valid, hipStream_t stream)
	checks the correctness of the pruning structure for a given matrix.
hipsparseStatus_t	hipsparseLtSpMMACompressedSize (const hipsparseLtHandle_t *handle, const hipsparseLtMatmulPlan_t *plan, size_t *compressedSize, size_t *compressBufferSize)
	provide the size of the compressed matrix.
hipsparseStatus_t	hipsparseLtSpMMACompress (const hipsparseLtHandle_t *handle, const hipsparseLtMatmulPlan_t *plan, const void *d_dense, void *d_compressed, void *d_compressBuffer, hipStream_t stream)
	compresses a dense matrix to structured matrix.
hipsparseStatus_t	hipsparseLtSpMMACompressedSize2 (const hipsparseLtHandle_t *handle, const hipsparseLtMatDescriptor_t *sparseMatDescr, size_t *compressedSize, size_t *compressBufferSize)
	provide the size of the compressed matrix.
hipsparseStatus_t	hipsparseLtSpMMACompress2 (const hipsparseLtHandle_t *handle, const hipsparseLtMatDescriptor_t *sparseMatDescr, int isSparseA, hipsparseOperation_t op, const void *d_dense, void *d_compressed, void *d_compressBuffer, hipStream_t stream)
	compresses a dense matrix to structured matrix.

Detailed Description

Required for subsequent library calls

Function Documentation

◆ hipsparseLtSpMMACompress()

hipsparseStatus_t hipsparseLtSpMMACompress	(	const hipsparseLtHandle_t *	handle,
		const hipsparseLtMatmulPlan_t *	plan,
		const void *	d_dense,
		void *	d_compressed,
		void *	d_compressBuffer,
		hipStream_t	stream )

compresses a dense matrix to structured matrix.

hipsparseLtSpMMACompress compresses a dense matrix d_dense. The compressed matrix is intended to be used as the first/second operand A/B in the hipsparseLtMatmul() function.

Parameters

[in]	handle	handle to the hipsparselt library context queue.
[in]	plan	matrix multiplication plan descriptor.
[in]	d_dense	pointer to the dense matrix.
[out]	d_compressed	compressed matrix and metadata.
[out]	d_compressBuffer	temporary buffer for the compression.
[in]	stream	HIP stream for the computation.

Return values

HIPSPARSE_STATUS_SUCCESS	the operation completed successfully.
HIPSPARSE_STATUS_INVALID_VALUE	handle , plan , d_dense or d_compressed is invalid.
HIPSPARSE_STATUS_NOT_SUPPORTED	the problem is not support

◆ hipsparseLtSpMMACompress2()

hipsparseStatus_t hipsparseLtSpMMACompress2	(	const hipsparseLtHandle_t *	handle,
		const hipsparseLtMatDescriptor_t *	sparseMatDescr,
		int	isSparseA,
		hipsparseOperation_t	op,
		const void *	d_dense,
		void *	d_compressed,
		void *	d_compressBuffer,
		hipStream_t	stream )

compresses a dense matrix to structured matrix.

hipsparseLtSpMMACompress2 compresses a dense matrix d_dense. The compressed matrix is intended to be used as the first/second operand A/B in the hipsparseLtMatmul() function.

Parameters

[in]	handle	handle to the hipsparselt library context queue.
[in]	sparseMatDescr	structured(sparse) matrix descriptor.
[in]	isSparseA	specify if the structured (sparse) matrix is in the first position (matA or matB) (HIP backend only support matA)
[in]	op	operation that will be applied to the structured (sparse) matrix in the multiplication
[in]	d_dense	pointer to the dense matrix.
[out]	d_compressed	compressed matrix and metadata
[out]	d_compressBuffer	temporary buffer for the compression.
[in]	stream	HIP stream for the computation.

Return values

HIPSPARSE_STATUS_SUCCESS	the operation completed successfully.
HIPSPARSE_STATUS_INVALID_VALUE	handle , sparseMatDescr , op , d_dense or d_compressed is invalid.
HIPSPARSE_STATUS_NOT_SUPPORTED	the problem is not support

◆ hipsparseLtSpMMACompressedSize()

hipsparseStatus_t hipsparseLtSpMMACompressedSize	(	const hipsparseLtHandle_t *	handle,
		const hipsparseLtMatmulPlan_t *	plan,
		size_t *	compressedSize,
		size_t *	compressBufferSize )

provide the size of the compressed matrix.

HIPSPARSE_STATUS_INVALID_VALUE provides the size of the compressed matrix to be allocated before calling hipsparseLtSpMMACompress() or hipsparseLtSpMMACompress2().

Parameters

[in]	handle	hipsparselt library handle
[in]	plan	matrix multiplication plan descriptor.
[out]	compressedSize	size in bytes of the compressed matrix.
[out]	compressBufferSize	size in bytes for the buffer needed for the matrix compression.

Return values

HIPSPARSE_STATUS_SUCCESS	the operation completed successfully.
HIPSPARSE_STATUS_INVALID_VALUE	handle , plan , compressedSize or compressBufferSize is invalid.

◆ hipsparseLtSpMMACompressedSize2()

hipsparseStatus_t hipsparseLtSpMMACompressedSize2	(	const hipsparseLtHandle_t *	handle,
		const hipsparseLtMatDescriptor_t *	sparseMatDescr,
		size_t *	compressedSize,
		size_t *	compressBufferSize )

provide the size of the compressed matrix.

hipsparseLtSpMMACompressedSize2 provides the size of the compressed matrix to be allocated before calling hipsparseLtSpMMACompress or hipsparseLtSpMMACompress2

Parameters

[in]	handle	hipsparselt library handle
[in]	sparseMatDescr	structured(sparse) matrix descriptor.
[out]	compressedSize	size in bytes of the compressed matrix.
[out]	compressBufferSize	size in bytes for the buffer needed for the matrix compression.

Return values

HIPSPARSE_STATUS_SUCCESS	the operation completed successfully.
HIPSPARSE_STATUS_NOT_INITIALIZED	handle , sparseMatDescr , compressedSize or compressBufferSize is invalid.
HIPSPARSE_STATUS_NOT_SUPPORTED	the problem is not support

◆ hipsparseLtSpMMAPrune()

hipsparseStatus_t hipsparseLtSpMMAPrune	(	const hipsparseLtHandle_t *	handle,
		const hipsparseLtMatmulDescriptor_t *	matmulDescr,
		const void *	d_in,
		void *	d_out,
		hipsparseLtPruneAlg_t	pruneAlg,
		hipStream_t	stream )

Purnes a dense matrix.

hipsparseLtSpMMAPrune prunes a dense matrix d_in according to the specified algorithm pruneAlg, HIPSPARSELT_PRUNE_SPMMA_TILE or HIPSPARSELT_PRUNE_SPMMA_STRIP.

Note

The function requires no extra storage.

This function supports asynchronous execution with respect to stream.

Parameters

[in]	handle	hipsparselt library handle
[in]	matmulDescr	matrix multiplication descriptor.
[in]	d_in	pointer to the dense matrix.
[out]	d_out	pointer to the pruned matrix.
[in]	pruneAlg	pruning algorithm.
[in]	stream	HIP stream for the computation.

Return values

HIPSPARSE_STATUS_SUCCESS	the operation completed successfully.
HIPSPARSE_STATUS_INVALID_VALUE	handle , matmulDescr , d_in or d_out is invalid.

◆ hipsparseLtSpMMAPrune2()

hipsparseStatus_t hipsparseLtSpMMAPrune2	(	const hipsparseLtHandle_t *	handle,
		const hipsparseLtMatDescriptor_t *	sparseMatDescr,
		int	isSparseA,
		hipsparseOperation_t	op,
		const void *	d_in,
		void *	d_out,
		hipsparseLtPruneAlg_t	pruneAlg,
		hipStream_t	stream )

Purnes a dense matrix.

hipsparseLtSpMMAPrune2 prunes a dense matrix d_in according to the specified algorithm pruneAlg, HIPSPARSELT_PRUNE_SPMMA_TILE or HIPSPARSELT_PRUNE_SPMMA_STRIP.

Note

The function requires no extra storage.

This function supports asynchronous execution with respect to stream.

Parameters

[in]	handle	hipsparselt library handle
[in]	sparseMatDescr	structured(sparse) matrix descriptor.
[in]	isSparseA	specify if the structured (sparse) matrix is in the first position (matA or matB) (Currently, only support matA)
[in]	op	operation that will be applied to the structured (sparse) matrix in the multiplication
[in]	d_in	pointer to the dense matrix.
[out]	d_out	pointer to the pruned matrix.
[in]	pruneAlg	pruning algorithm.
[in]	stream	HIP stream for the computation.

Return values

HIPSPARSE_STATUS_SUCCESS	the operation completed successfully.
HIPSPARSE_STATUS_INVALID_VALUE	handle , sparseMatDescr , op , d_in or d_out is invalid.
HIPSPARSE_STATUS_NOT_SUPPORTED	the problem is not support

◆ hipsparseLtSpMMAPruneCheck()

hipsparseStatus_t hipsparseLtSpMMAPruneCheck	(	const hipsparseLtHandle_t *	handle,
		const hipsparseLtMatmulDescriptor_t *	matmulDescr,
		const void *	d_in,
		int *	d_valid,
		hipStream_t	stream )

checks the correctness of the pruning structure for a given matrix.

hipsparseLtSpMMAPruneCheck checks the correctness of the pruning structure for a given matrix. Contents in the given matrix must be sparsity 2:4.

Parameters

[in]	handle	hipsparselt library handle
[in]	matmulDescr	matrix multiplication descriptor.
[in]	d_in	pointer to the matrix to check.
[out]	d_valid	validation results (0 correct, 1 wrong).
[in]	stream	HIP stream for the computation.

Return values

HIPSPARSE_STATUS_SUCCESS	the operation completed successfully.
HIPSPARSE_STATUS_INVALID_VALUE	handle , matmulDescr , d_in or d_valid is invalid.

◆ hipsparseLtSpMMAPruneCheck2()

hipsparseStatus_t hipsparseLtSpMMAPruneCheck2	(	const hipsparseLtHandle_t *	handle,
		const hipsparseLtMatDescriptor_t *	sparseMatDescr,
		int	isSparseA,
		hipsparseOperation_t	op,
		const void *	d_in,
		int *	d_valid,
		hipStream_t	stream )

checks the correctness of the pruning structure for a given matrix.

hipsparseLtSpMMAPruneCheck2 checks the correctness of the pruning structure for a given matrix. Contents in the given matrix must be sparsity 2:4.

Parameters

[in]	handle	hipsparselt library handle
[in]	sparseMatDescr	structured(sparse) matrix descriptor.
[in]	isSparseA	specify if the structured (sparse) matrix is in the first position (matA or matB) (HIP backend only support matA)
[in]	op	operation that will be applied to the structured (sparse) matrix in the multiplication
[in]	d_in	pointer to the matrix to check.
[out]	d_valid	validation results (0 correct, 1 wrong).
[in]	stream	HIP stream for the computation.

Return values

HIPSPARSE_STATUS_SUCCESS	the operation completed successfully.
HIPSPARSE_STATUS_INVALID_VALUE	handle , sparseMatDescr , op , d_in or d_valid is invalid.
HIPSPARSE_STATUS_NOT_SUPPORTED	the problem is not support