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torch_mv

Mv


Description

Mv

Usage

torch_mv(self, vec)

Arguments

self

(Tensor) matrix to be multiplied

vec

(Tensor) vector to be multiplied

mv(input, vec, out=NULL) -> Tensor

Performs a matrix-vector product of the matrix input and the vector vec.

If input is a (n \times m) tensor, vec is a 1-D tensor of size m, out will be 1-D of size n.

Note

This function does not broadcast .

Examples

if (torch_is_installed()) {

mat = torch_randn(c(2, 3))
vec = torch_randn(c(3))
torch_mv(mat, vec)
}

torch

Tensors and Neural Networks with 'GPU' Acceleration

v0.3.0
MIT + file LICENSE
Authors
Daniel Falbel [aut, cre, cph], Javier Luraschi [aut], Dmitriy Selivanov [ctb], Athos Damiani [ctb], Christophe Regouby [ctb], Krzysztof Joachimiak [ctb], RStudio [cph]
Initial release

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