Clamp
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:
$$
y_i = \left\{ \begin{array}{ll}
\mbox{min} & \mbox{if } x_i < \mbox{min} \\
x_i & \mbox{if } \mbox{min} \leq x_i \leq \mbox{max} \\
\mbox{max} & \mbox{if } x_i > \mbox{max}
\end{array}
\right.
$$
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
#> 0.5000
#> -0.2789
#> -0.0156
#> -0.8691
#> [ CPUFloatType{4} ]