cupynumeric.linalg.vecdot#

cupynumeric.linalg.vecdot( x1: ndarray, x2: ndarray, /, *, axis: int = -1, ) → ndarray#

Compute the vector dot product along an axis.

If x1 is complex, its complex conjugate is used for the product. The dimensions outside the contracted axis are broadcast together.

Parameters:

x1 (array_like) – First input array. If x1 is complex, the complex conjugate is taken before calculating the dot product.
x2 (array_like) – Second input array.
axis (int, optional) – Axis over which to compute the vector dot product. Only negative axes are currently supported.

Returns:

output – The vector dot product of x1 and x2.

Return type:

ndarray

Notes

The contracted axis length must match exactly before broadcasting the other dimensions.