Clamp
torch_clamp(self, min = NULL, max = NULL)
self
: (Tensor) the input tensor.min
: (Number) lower-bound of the range to be clamped tomax
: (Number) upper-bound of the range to be clamped toClamp all elements in input
into the range [
min
, max
]
and return a resulting tensor:
If input
is of type FloatTensor
or DoubleTensor
, args min
and max
must be real numbers, otherwise they should be integers.
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.
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.
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) }
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