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torch_prod

Prod

Description

Prod

Usage

torch_prod(self, dim, keepdim = FALSE, dtype = NULL)

Arguments

self

(Tensor) the input tensor.
dim

(int) the dimension to reduce.
keepdim

(bool) whether the output tensor has dim retained or not.
dtype

(torch.dtype, optional) the desired data type of returned tensor. If specified, the input tensor is casted to dtype before the operation is performed. This is useful for preventing data type overflows. Default: NULL.

prod(input, dtype=NULL) -> Tensor

Returns the product of all elements in the input tensor.

prod(input, dim, keepdim=False, dtype=NULL) -> Tensor

Returns the product of each row of the input tensor in the given dimension dim.

If keepdim is TRUE, the output tensor is of the same size as input except in the dimension dim where it is of size 1. Otherwise, dim is squeezed (see torch_squeeze), resulting in the output tensor having 1 fewer dimension than input.

Examples

if (torch_is_installed()) {

a = torch_randn(c(1, 3))
a
torch_prod(a)


a = torch_randn(c(4, 2))
a
torch_prod(a, 1)
}
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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