Pow
Arguments
- self
(float) the scalar base value for the power operation
- exponent
(float or tensor) the exponent value
pow(input, exponent, out=NULL) -> Tensor
Takes the power of each element in input with exponent and
returns a tensor with the result.
exponent can be either a single float number or a Tensor
with the same number of elements as input.
When exponent is a scalar value, the operation applied is:
$$
\mbox{out}_i = x_i^{\mbox{exponent}}
$$
When exponent is a tensor, the operation applied is:
$$
\mbox{out}_i = x_i^{\mbox{exponent}_i}
$$
When exponent is a tensor, the shapes of input
and exponent must be broadcastable .
pow(self, exponent, out=NULL) -> Tensor
self is a scalar float value, and exponent is a tensor.
The returned tensor out is of the same shape as exponent
The operation applied is:
$$ \mbox{out}_i = \mbox{self} ^ {\mbox{exponent}_i} $$
Examples
if (torch_is_installed()) {
a = torch_randn(c(4))
a
torch_pow(a, 2)
exp <- torch_arange(1, 5)
a <- torch_arange(1, 5)
a
exp
torch_pow(a, exp)
exp <- torch_arange(1, 5)
base <- 2
torch_pow(base, exp)
}
#> torch_tensor
#> 2
#> 4
#> 8
#> 16
#> 32
#> [ CPUFloatType{5} ]