tf.linalg.matvec

Multiplies matrix a by vector b, producing a * b.

Used in the notebooks

Used in the tutorials

The matrix a must, following any transpositions, be a tensor of rank >= 2, with shape(a)[-1] == shape(b)[-1], and shape(a)[:-2] able to broadcast with shape(b)[:-1].

Both a and b must be of the same type. The supported types are: float16, float32, float64, int32, complex64, complex128.

Matrix a can be transposed or adjointed (conjugated and transposed) on the fly by setting one of the corresponding flag to True. These are False by default.

If one or both of the inputs contain a lot of zeros, a more efficient multiplication algorithm can be used by setting the corresponding a_is_sparse or