Sub
Arguments
- self
(Tensor) the input tensor.
- other
(Tensor or Scalar) the tensor or scalar to subtract from
input
- alpha
the scalar multiplier for other
sub(input, other, *, alpha=1, out=None) -> Tensor
Subtracts other
, scaled by alpha
, from input
.
$$ \mbox{{out}}_i = \mbox{{input}}_i - \mbox{{alpha}} \times \mbox{{other}}_i $$
Supports broadcasting to a common shape , type promotion , and integer, float, and complex inputs.
Examples
if (torch_is_installed()) {
a <- torch_tensor(c(1, 2))
b <- torch_tensor(c(0, 1))
torch_sub(a, b, alpha=2)
}
#> torch_tensor
#> 1
#> 0
#> [ CPUFloatType{2} ]