csrmv#
- class brainpy.math.event.csrmv(data, indices, indptr, events, *, shape, transpose=False)[source]#
Product of a sparse CSR matrix and a dense event vector.
This function supports JAX transformations, including jit(), grad(), vmap() and pmap().
- Parameters:
data (ndarray, float) – An array of shape
(nse,)
.indices (ndarray) – An array of shape
(nse,)
.indptr (ndarray) – An array of shape
(shape[0] + 1,)
and dtypeindices.dtype
.events (ndarray) – An array of shape
(shape[0] if transpose else shape[1],)
and dtypedata.dtype
.shape (tuple) – A length-2 tuple representing the matrix shape.
transpose (bool) – A boolean specifying whether to transpose the sparse matrix before computing. If
transpose=True
, the operator will compute based on the event-driven property of theevents
vector.
- Returns:
y – The array of shape
(shape[1] if transpose else shape[0],)
representing the matrix vector product.- Return type: