Function sparse_to_dense 

pub fn sparse_to_dense(
    ctx: &Context,
    matrix_a: &SparseMatrixDescriptor<'_>,
    matrix_b: &mut DenseMatrixDescriptor<'_>,
    algorithm: SparseToDenseAlgorithm,
    external_buffer: Option<DevicePtr>,
) -> Result<()>

Converts matrix_a in CSR, CSC, or COO format into its dense representation matrix_b. Blocked-ELL is not currently supported.

sparse_to_dense_buffer_size returns the size of the workspace needed by sparse_to_dense.

sparse_to_dense supports the following index type for representing matrix_a:

• 32-bit indices (IndexType::I32)
• 64-bit indices (IndexType::I64)

sparse_to_dense supports the following data types:

A/B	Notes
DataType::I8
DataType::F16
DataType::Bf16
DataType::F32
DataType::F64
DataType::ComplexF16	Deprecated.
DataType::ComplexBf16	Deprecated.
DataType::ComplexF32
DataType::ComplexF64

sparse_to_dense supports the following algorithm:

Algorithm	Notes
SparseToDenseAlgorithm::Default	Default algorithm.

sparse_to_dense has the following properties:

• Requires no extra storage.
• Supports asynchronous execution.
• Provides deterministic (bitwise) results for each run.
• Allows the indices of matrix_a to be unsorted.

sparse_to_dense supports the following optimizations:

• CUDA graph capture.
• Hardware Memory Compression.