Clamp

Usage

torch_clamp(self, min = NULL, max = NULL)

Arguments

self

(Tensor) the input tensor.

min

(Number) lower-bound of the range to be clamped to

max

(Number) upper-bound of the range to be clamped to

clamp(input, min, max, out=NULL) -> Tensor

Clamp all elements in input into the range [ min, max ] and return a resulting tensor:

$$y_i=\{\begin{array}{ll}\text{min}& \text{if }{x}_i<\text{min}\\ x_i& \text{if }\text{min}\le x_i\le \text{max}\\ \text{max}& \text{if }{x}_i>\text{max}\end{array}$$ If input is of type FloatTensor or DoubleTensor, args min and max must be real numbers, otherwise they should be integers.

clamp(input, *, min, out=NULL) -> Tensor

Clamps all elements in input to be larger or equal min.

If input is of type FloatTensor or DoubleTensor, value should be a real number, otherwise it should be an integer.

clamp(input, *, max, out=NULL) -> Tensor

Clamps all elements in input to be smaller or equal max.

If input is of type FloatTensor or DoubleTensor, value should be a real number, otherwise it should be an integer.

Examples

if (torch_is_installed()) {

a = torch_randn(c(4))
a
torch_clamp(a, min=-0.5, max=0.5)


a = torch_randn(c(4))
a
torch_clamp(a, min=0.5)


a = torch_randn(c(4))
a
torch_clamp(a, max=0.5)
}
#> torch_tensor
#> -0.1841
#>  0.5000
#> -0.7108
#> -0.7272
#> [ CPUFloatType{4} ]