torch_bmm: Bmm

In torch: Tensors and Neural Networks with 'GPU' Acceleration

Bmm

Description

Bmm

Usage

torch_bmm(self, mat2)

Arguments

self	(Tensor) the first batch of matrices to be multiplied
mat2	(Tensor) the second batch of matrices to be multiplied

bmm(input, mat2, out=NULL) -> Tensor

Performs a batch matrix-matrix product of matrices stored in input and mat2.

input and mat2 must be 3-D tensors each containing the same number of matrices.

If input is a (b \times n \times m) tensor, mat2 is a (b \times m \times p) tensor, out will be a (b \times n \times p) tensor.

\mbox{out}_i = \mbox{input}_i \mathbin{@} \mbox{mat2}_i

Note

This function does not broadcast . For broadcasting matrix products, see torch_matmul.

Examples

if (torch_is_installed()) {

input = torch_randn(c(10, 3, 4))
mat2 = torch_randn(c(10, 4, 5))
res = torch_bmm(input, mat2)
res
}

torch documentation built on June 7, 2023, 6:19 p.m.