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When we have a Blockwise with the same output shape and type as one of its inputs (such as Cholesky whose signature is "(m,m)->(m,m)") we can overwrite the output in the input buffer.
This is independent of allowing the core_op to destroy the input as done in #1028
This is only relevant for the numba backend after #1015 since the other backends don't give us inplace control and numpy vectorize (used in the Python backend) neither.
The text was updated successfully, but these errors were encountered:
Description
When we have a Blockwise with the same output shape and type as one of its inputs (such as Cholesky whose signature is
"(m,m)->(m,m)"
) we can overwrite the output in the input buffer.This is independent of allowing the core_op to destroy the input as done in #1028
This is only relevant for the numba backend after #1015 since the other backends don't give us inplace control and numpy vectorize (used in the Python backend) neither.
The text was updated successfully, but these errors were encountered: