torch: torch_minimum – R documentation

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torch

torch_minimum

Minimum

Description

Minimum

Usage

torch_minimum(self, other)

Arguments

`self`	(Tensor) the input tensor.
`other`	(Tensor) the second input tensor

minimum(input, other, *, out=None) -> Tensor

Computes the element-wise minimum of input and other.

Note

If one of the elements being compared is a NaN, then that element is returned. torch_minimum() is not supported for tensors with complex dtypes.

Examples

if (torch_is_installed()) {

a <- torch_tensor(c(1, 2, -1))
b <- torch_tensor(c(3, 0, 4))
torch_minimum(a, b)
}

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

torch_minimum

Description

Usage

Arguments

minimum(input, other, *, out=None) -> Tensor

Note

Examples

torch

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